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Feng, Z.a , Li, B.a , Yin, Y.P.b , He, K.c

Rockslides on limestone cliffs with subhorizontal bedding in the southwestern calcareous area of China

(2014) Natural Hazards and Earth System Sciences, 14 (9), pp. 2627-2635.

a Key Laboratory of Neotectonic Movement and Geohazard of MLR, Institute of Geomechanics, Chinese Academy

of Geological ScienceBeijing, China b China Institute of Geo-Environment MonitoringBeijing, China c Chang'An UniversityXi'an, China

Abstract Calcareous mountainous areas are highly prone to geohazards, and rockslides play an important role in cliff retreat.

This study presents three examples of failures of limestone cliffs with subhorizontal bedding in the southwestern

calcareous area of China. Field observations and numerical modeling of Yudong Escarpment, Zengzi Cliff, and

Wangxia Cliff showed that pre-existing vertical joints passing through thick limestone and the alternation of

competent and incompetent layers are the most significant features for rockslides. A "hard-on-soft" cliff made of

hard rocks superimposed on soft rocks is prone to rock slump, characterized by shearing through the underlying

weak strata along a curved surface and backward tilting. When a slope contains weak interlayers rather than a soft

basal, a rock collapse could occur from the compression fracture and tensile split of the rock mass near the

interfaces. A rockslide might shear through a hard rock mass if no discontinuities are exposed in the cliff slope, and

sliding may occur along a moderately inclined rupture plane. The "toe breakout" mechanism mainly depends on the

strength characteristics of the rock mass.

Index Keywords cliff, collapse, computer simulation, escarpment, failure analysis, hard rock, landslide, limestone, mountain

region, numerical model, rock avalanche, slope dynamics, slope stability, soft rock; China

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Correspondence Address

Li B.; Key Laboratory of Neotectonic Movement and Geohazard of MLR, Institute of Geomechanics, Chinese

Academy of Geological ScienceChina

Publisher: Copernicus GmbH

ISSN: 15618633

DOI: 10.5194/nhess-14-2627-2014

Language of Original Document: English

Abbreviated Source Title: Nat. Hazards Earth Syst. Sci.

Document Type: Article

Source: Scopus

Shahabi, H.a , Khezri, S.b , Ahmad, B.B.a , Hashim, M.a

Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process,

frequency ratio and logistic regression models

(2014) Catena, 115, pp. 55-70. Cited 1 time.

a Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia (UTM), Skudai, 81310

Johor Bahru, Malaysia b Department of Physical Geography, Faculty of Natural Resources, University of Kurdistan, Iran

Abstract The purpose of this study is to compare the landslide susceptibility mapping models of logistic regression (LR),

analytical hierarchy process (AHP) and frequency ratio (FR) applied in the central Zab basin (West Azerbaijan-

Iran). Eight factors were used for landslide susceptibility mapping including slope, aspect, land cover,

precipitation, lithology and the distance to roads, drainage, and faults that affect the occurrence of landslides. To

get more precision, speed and facility in our analysis, all descriptive and spatial information was entered into GIS

system. Satellite images (Landsat ETM. + and SPOT 5) are also used to prepare for land use and landslide-

inventory mapping respectively. Landslide events as used as dependant variable and data layers as independent

variable, making use of the correlation between these two variables in landslide susceptibility. The three models

are validated using the relative landslide density index (R-index) and the receiver operating characteristic (ROC)

curves. The predictive capability of each model was determined from the area under the relative operating

characteristic curve and the areas under the curves obtained using the LR, AHP, and FR methods are 0.8941,

0.8115, and 0.8634, respectively. These results indicate that the LR and FR models are relatively good estimators

of landslide susceptibility in the study area. The interpretations of the susceptibility map reveal that precipitation,

lithology and slope played major roles in landslide occurrence and distribution in the central Zab basin. In general,

all three models were reasonably accurate. The resultant maps would be useful for regional spatial planning as well

as for land cover planning. © 2013 Elsevier B.V..

Author Keywords Central Zab basin; GIS; Landslide; Remote sensing

Index Keywords analytical hierarchy process, GIS, inventory, Landsat thematic mapper, landslide, model validation, regional

planning, regression analysis, satellite imagery, slope, SPOT, topographic mapping; Iran, West Azerbaijan

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Shahabi H.; Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi

Malaysia (UTM), Skudai, 81310 Johor Bahru, Malaysia; email: [email protected]

ISSN: 03418162

CODEN: CIJPD

DOI: 10.1016/j.catena.2013.11.014


Abbreviated Source Title: Catena


Source: Scopus

Nourani, V.a , Pradhan, B.b , Ghaffari, H.c , Sharifi, S.S.d

Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency

ratio, logistic regression, and artificial neural network models

(2014) Natural Hazards, 71 (1), pp. 523-547.

a Department of Water Resources Engineering, University of Tabriz, 29 Bahman Ave., Tabriz, Iran b Department of Civil Engineering, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia c Department of Water Resources Engineering, Islamic Azad University, Mahabad Branch, Mahabad, Iran d Department of Water Engineering, University of Tabriz, 29 Bahman Ave., Tabriz, Iran

Abstract Without a doubt, landslide is one of the most disastrous natural hazards and landslide susceptibility maps (LSMs)

in regional scale are the useful guide to future development planning. Therefore, the importance of generating

LSMs through different methods is popular in the international literature. The goal of this study was to evaluate the

susceptibility of the occurrence of landslides in Zonouz Plain, located in North-West of Iran. For this purpose, a

landslide inventory map was constructed using field survey, air photo/satellite image interpretation, and literature

search for historical landslide records. Then, seven landslide-conditioning factors such as lithology, slope, aspect,

elevation, land cover, distance to stream, and distance to road were utilized for generation LSMs by various

models: frequency ratio (FR), logistic regression (LR), artificial neural network (ANN), and genetic programming

(GP) methods in geographic information system (GIS). Finally, total four LSMs were obtained by using these four

methods. For verification, the results of LSM analyses were confirmed using the landslide inventory map

containing 190 active landslide zones. The validation process showed that the prediction accuracy of LSMs,

produced by the FR, LR, ANN, and GP, was 87.57, 89.42, 92.37, and 93.27 %, respectively. The obtained results

indicated that the use of GP for generating LSMs provides more accurate prediction in comparison with FR, LR,

and ANN. Furthermore; GP model is superior to the ANN model because it can present an explicit formulation

instead of weights and biases matrices. © 2013 Springer Science+Business Media Dordrecht.

Author Keywords Artificial neural network; Genetic programming; GIS; Landslide; Remote sensing; Zonouz Plain

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Nourani V.; Department of Water Resources Engineering, University of Tabriz, 29 Bahman Ave., Tabriz, Iran;

email: [email protected]

ISSN: 0921030X

DOI: 10.1007/s11069-013-0932-3


Abbreviated Source Title: Nat. Hazards


Source: Scopus

Sajinkumar, K.S.a , Anbazhagan, S.b , Rani, V.R.c , Muraleedharan, C.d

A paradigm quantitative approach for a regional risk assessment and management in a few landslide prone hamlets

along the windward slope of Western Ghats, India

(2014) International Journal of Disaster Risk Reduction, 7, pp. 142-153.

a Department of Earth Sciences, Indian Institute of TechnologyMumbai, India b Centre for Geoinformatics and Planetary Sciences, Periyar UniversitySalem, India c Central Ground Water BoardThiruvananthapuram, India d Geological Survey of IndiaKolkata, India

Abstract Landslide occurrences in Western Ghats are not rare but rather a brooding omnipresent reality with all its fury. The

devastation caused by this cataclysmic phenomenon is unwittingly greater than one could imagine as the density of

population in the state of Kerala is ~800perkm2. This study aims at providing a quantitative estimation of elements

at risk to landslides in a stretch of landslide susceptible zones, demarcated using a heuristic approach and spreading

over a few hamlets in parts of Western Ghats. The vulnerability results reveal that: 1,321,056 nos. of human

population, 2656 cattle, livestock and poultry, and INR 2650 crore (~US$ 143 billion) worth of property are at risk.

Management practices, on a regional scale, along transport corridors and major settlement areas are proposed. As

this part of the world experiences a tropical climate, monsoon is the sole triggering mechanism of landslides.

Hence an early warning system with reference to rainfall and a series of surface drainage network will help in

minimizing the effects of the landslides.

Author Keywords Early warning system; Landslide management; Landslide susceptible

zone; Landslides; Risk; Vulnerability; Western Ghats

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Sajinkumar K.S.; Department of Geology, University of KeralaIndia

Publisher: Elsevier Ltd

ISSN: 22124209

DOI: 10.1016/j.ijdrr.2013.10.004


Abbreviated Source Title: Int. J. Disaster Risk Reduct.


Source: Scopus

Erzin, Y., Gul, T.O.

The use of neural networks for the prediction of the settlement of one-way footings on cohesionless soils based on

standard penetration test

(2014) Neural Computing and Applications, 24 (3-4), pp. 891-900.

Department of Civil Engineering, Celal Bayar University, 45140 Manisa, Turkey

Abstract In this study, artificial neural networks (ANNs) were used to predict the settlement of one-way footings, without a

need to perform any manual work such as using tables or charts. To achieve this, a computer programme was

developed in the Matlab programming environment for calculating the settlement of one-way footings from five

traditional settlement prediction methods. The footing geometry (length and width), the footing embedment depth,

the bulk unit weight of the cohesionless soil, the footing applied pressure, and corrected standard penetration test

varied during the settlement analyses, and the settlement value of each one-way footing was calculated for each

traditional method by using the written programme. Then, an ANN model was developed for each method to

predict the settlement by using the results of the analyses. The settlement values predicted from each ANN model

developed were compared with the settlement values calculated from the traditional method. The predicted values

were found to be quite close to the calculated values. Additionally, several performance indices such as

determination coefficient, variance account for, mean absolute error, root mean square error, and scaled percent

error were computed to check the prediction capacity of the ANN models developed. The constructed ANN models

have shown high prediction performance based on the performance indices calculated. The results demonstrated

that the ANN models developed can be used at the preliminary stage of designing one-way footing on cohesionless

soils without a need to perform any manual work such as using tables or charts. © 2012 Springer-Verlag London.

Author Keywords Artificial neural networks; Cohesionless soils; One-way footing; Settlement; Standard penetration test

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Liquefaction-induced ground deformations on a lake shore (Turkey) and empirical equations for their prediction

(2006) IAEG 2006,

paper 362

Erzin, Y., Patel, A., Singh, D.N., Tiga, M.G., Yilmaz, I., Srinivas, K.

Investigations on factors influencing the crushing strength of some Aegean sands

(2012) Bull Eng Geol Environ, 71, pp. 529-536.

Garson, G.D.

Interpreting neural-network connection weights

(1991) AI Expert, 6, pp. 47-51.


Erzin Y.; Department of Civil Engineering, Celal Bayar University, 45140 Manisa, Turkey; email:

[email protected]

ISSN: 09410643

DOI: 10.1007/s00521-012-1302-x


Abbreviated Source Title: Neural Comput. Appl.


Source: Scopus

Eker, R., Aydin, A.

Assessment of forest road conditions in terms of landslide susceptibility: A case study in Yi{dotless}ǧi{dotless}lca

Forest Directorate (Turkey)

(2014) Turkish Journal of Agriculture and Forestry, 38 (2), pp. 281-290.

Düzce University, Düzce, Turkey

Abstract Forest roads are one of the biggest investments in forest management. Their possible adverse effect on the

environment is becoming an important issue for administrators due to a recent increase in public awareness.

Especially in the Black Sea Region of Turkey, road-related landslides are common in forested areas because the

roads are located in hilly regions with steep slopes. In addition to their impact on forests, landslides can cause

damage to roadbeds which requires immediate maintenance. Landslide-susceptibility maps are widely used for

different purposes such as reducing the effects of landslides, decision making, and planning. These maps can easily

be generated by utilizing the advanced features of Geographical Information Systems (GIS) and computer

technologies. Logistic regression (LR) is a widely used technique for mapping landslide susceptibility; landslide

conditioning parameters such as topography, lithology, land use, distance to streams and roads, and curvature can

be mapped by GIS tools. In this study a fieldworkgenerated inventory of 288 landslides was used to produce a

landslide-susceptibility map for the Yi{dotless}ǧi{dotless}lca Forest Directorate (Turkey). This map was generated

by applying a GIS-based LR method. Land use, lithology, elevation, slope, aspect, distance to streams, distance to

roads, and plan curvature were considered as the landslide conditioning parameters. After the landslide-

susceptibility map was divided into 5 classes of susceptibility (very low, low, moderate, high, and very high), it

was overlapped with a road network map in order to evaluate forest road conditions in terms of landslide

susceptibility. For a quantitative analysis of forest road-landslide interaction, 2 new parameters were determined: a

landslide frequency index (divided into general and real) and a road-landslide index (divided into general and real).

Real landslide frequency and general landslide frequency on the roads were found to be 0.42 and 0.18,

respectively. The results showed that the real road-landslide index and the general road-landslide index in the area

were 0.10 and 0.04, respectively. © TÜBİTAK.

Author Keywords Forest road networks; Landslide frequency; Landslide susceptibility; Logistic regression; Road-landslide

index; Yi{dotless}ǧi{dotless}lca

Index Keywords Forest road networks, Landslide frequency, Landslide susceptibility, Logistic regressions, Road-landslide index;

Economics, Forestry, Geographic information systems, Highway planning, Land use, Lithology, Motor

transportation, Regression analysis, Roads and streets; Landslides; forest management, frequency

analysis, GIS, hazard assessment, inventory, landslide, logistics, mapping, regression analysis, roadside

environment, slope dynamics, slope stability; Economics, Forestry, GIS, Land Use, Regression Analysis; Turkey

References

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Defining the Slope Stability Areas of Forest Roads

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CD Proceeding, Padua, Italy

Ayalew, L., Yamasgishi, H.



(2005) Geomorpholgy, 65, pp. 15-31.

Bai, S.B., Wang, J., Zhang, F.Y., Pozdnoukhov, A., Kanevski, M.

Prediction of landslide susceptibility using logistic regression: A case study in Bailongjiang River Basin, China

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Landslide inventory of northwestern Anatolia, Turkey

(2005) Eng Geol, 77, pp. 99-114.

Ercanoǧlu, M., Gökceoǧlu, C.

Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy

approach

(2002) Environ Geol, 41, pp. 720-730.

Ercanoǧlu, M., Temiz, F.A.

Application of logistic regression and fuzzy operators to landslide susceptibility assessment in Azdavay

(Kastamonu, Turkey)


Erener, A., Düzgün, H.S.B.

Improvement of statistical landslide susceptibility mapping by using spatial and global regression methods in the

case of More and Romsdal (Norway)

(2010) Landslides, 7, pp. 55-68.

Girvetz, E., Shilling, F.

Decision support for road system analysis and modification on the Tahoe National Forest

(2003) Environ Manage, 32, pp. 218-233.

Görcelioǧlu, E.

(2004) Orman Yollari{dotless}-Erozyon İlişkisi. İ. Ü,

İstanbul: Orman Fakültesi Yayi{dotless}nlari{dotless} No.: 4460/476, 184 s

Gümüş, S., Acar, H.H., Toksoy, D.

Functional forest road network planning by consideration of environmental impact assessment for wood

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Hasmadi, M.I., Kamaruzaman, J., Azizon, J.M.

Forest road assessment in Ulu Muda Forest Reserve, Kedah, Malaysia

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Designing an optimal road network by consideration of environmental impacts in GIS

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The impacts of logging on landslide activity at Clayoquot Sound, British Columbia

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Effects of roads on hydrology, geomorphology, and disturbance patches in stream networks

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Kincal, C., Akgün, A., Koca, M.Y.

Landslide susceptibility assessment in the İzmir (West Anatolia, Turkey) city center and its near vicinity by the

logistic regression method


Lee, S.


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Lee, S., Talib, J.A.

Probabilistic landslide susceptibility and factor effect analysis

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Landslide inventories and their statistical properties


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Impact of underground mining to slope deformation genesis at Doubrava Ujala

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Nefeslioǧlu, H.A., Gökçeoǧlu, C., Sönmez, H.



(2008) Eng Geol, 97, pp. 171-191.

Radfar, I., Zolfani, S.H., Rezaciniya, N., Shadifar, M.

Using AHPCOPRAS-G method for forest road locating

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550.

In, (ICEMMS), Beijing

Reichenbach, P., Ardizzone, F., Cardinali, M., Galli, M., Guzetti, F., Salvati, P.

Landslide events and their impact on the transportation network in the Umbria region, central Italy

(2002) Proceedings of the 4th EGS Plinius Conference held at Mallorca,

Spain

Sharpe, C.F.S.

(1938) Landslides and Related Phenomena,

New York, NY, USA: Columbia University Press

Sidle, R.C., Pierce, A.J., O'Loughlin, C.L.

(1985) Hillslope Stability and Land Use, 11.

Water Resources Monograph Series, Washington, DC: American Geophysical Union

Sorkhi, A., Hosseini, S.A., Lotfalian, M., Parsakhoo, A.

Effect of the standard clearing limit of forest road right-of-way on stand stock growth: Case study of Vaston

forests, Hyrcanian zone

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Süzen, M.L., Kaya, B.Ş.

Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping

(2011) Int J Digit Earth, 5, pp. 1-18.

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Impact of clear-cutting and road construction on soil erosion by landslides in the western Cascade Range,

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(1975) Geology, 3, pp. 393-396.



(2010) Comput Geosci, 36, pp. 1101-1114.

Van Den Eeckhaut, M., Marre, A., Poessen, J.

Comparison of two landslide susceptibility assessments in the Champagne-Ardenne region (France)


Wachal, D.J., Hudak, P.F.

Mapping landslide susceptibility in Travis County Texas USA

(2000) GeoJournal, 51, pp. 245-253.

Wemple, B.C., Swanson, F.J., Jones, J.A.

Forest roads and geomorphic process interactions, Cascade Range, Oregon


Yilmaz, I.

Landslide susceptibility MAPPING using frequency ratio, logistic regression, artificial neural networks and their

comparison: A case study from Kat landslides (Tokat-Turkey)

(2009) Comput Geosci, 35, pp. 1125-1138.


Eker R.; Düzce University, Düzce, Turkey; email: [email protected]

ISSN: 1300011X

DOI: 10.3906/tar-1303-12


Abbreviated Source Title: Turk. J. Agric. For.


Source: Scopus

Drusa, M., Chebeň, V., Bulko, R.

New technologies implemented in geotechnical monitoring on transport constructions

(2014) International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology

Management, SGEM, 2, pp. 651-656.

University of Žilina, Department of Geotechnics, Slovakia

Abstract A new route of D1 motorway in the north of Slovakia must across territory with high susceptibility to landslide

movements. Several slope deformations with different activity were identified in the studied area of Šútovo and

Kraľovany landslide [2],[8]. Due to narrow valley relief, existing railroad line and water dam, it is not an easy task

to design the route of the future motorway. Geotechnical monitoring of landslide movements by vertical

inclinometer, TDR inclinometers, terrestrial geodetic monitoring and observation of ground water regime were

designed and implemented according to the provided detailed engineering geological survey. Both the standard

methods for monitoring and new progressive technologies were used, and they are further described in this article.

Author Keywords Geohazards; Geotechnical monitoring; Landslide; TDR inclinometer

Index Keywords Design, Geology, Groundwater; Geo-hazards, Geodetic monitoring, Geotechnical monitoring, Landslide

movements, Railroad lines, Slope deformation, Slovakia, TDR inclinometer; Landslides

References

Brighenti, R., Segalini, A., Ferrero, A.M.

Debris flow hazard mitigation: A simplified analytical model for the design of flexible barriers

(2013) Computers and Geotechnics, 54, pp. 1-15.

Bednárik, M., Magulová, B., Matys, M., Marschalko, M.

Landslide susceptibility assessment of the Kralovany-Liptovsky Mikulas railway case study

(2010) Physics and Chemistry of the Earth, 35 (3-5), pp. 162-171.

Canelli, L., Ferrero, A.M., Migliazza, M., Segalini, A.

Debris flow risk mitigation by the means of rigid and flexible barriers -Experimental tests and impact analysis

(2012) Natural Hazards and Earth System Science, 12 (5), pp. 1693-1699.

Corsini

Early warning system for earth slides: Technical and decision making constrains for the application of integrated

Continuous GPS system

(2008) Mountain risk workshop Barcelona,

Corsini, et al, 5th Sept

Dowding, C.H., O’Connor, K.M.

(1999) Geomeasurements by Pulsing TDR Cables and Probes,

Boca Raton: CRC Press, ISBN 08-493-0586-1

Drusa, M., Chebeň, V.

(2012) Implementation of TDR Technology for Monitoring of Negative Factors of Slope Deformations,

Proceedings of SGEM, 2, pp. 143-150.

ISSN 1314-2704

Drusa, M., Chebeň, V., Prohovníková, P.

Functionality Of Tdr Piezometers And Inclinometers for Monitoring of Slope Deformations In: Sgem 2013

(2013) 13th international multidisciplinary scientific geoconference: conference proceedings, 2, pp. 157-164.

Sofia: STEF92 Technology, ISBN 978-954-91818-8-3

Marschalko, M., Bednárik, M., Yilmaz, I., Bouchal, T., Kubečka, K.

Evaluation of subsidence due to underground coal mining: An example from the Czech Republic

(2012) Bulletin of engineering geology and the environment, 71 (1), pp. 105-111.

Marschalko, M., Yilmaz, I., Kristkova, V., Matej, F., Bednarik, M., Kubečka, K.

Determination of actual limit angles to the surface and their comparison with the empirical values in the Upper

Silesian Basin (Czech Republic)

(2011) Engineering Geology,

Mužík, J.

Elasto-Plastic Soil Deformation Analysis Using Mlpg, In: Theoretical foundation of civil engineering, pp. 191-

202.

XXII Slovak -Polish – Russian Seminar: Žilina, Slovak Republic, 09. 09. 2013 -13. 09. 2013. -Moskva:

Izdateľstvo ASV, ISBN 978-5-93093-986-6

Singer, J.

(2010) Development of a continuous monitoring system for instable slopes using Time Domain Reflectometry

(TDR). PhD Thesis, Technische Universität München, p. 189.

Munich, Germany

Sitanyiova, D.

(2008) Geology-lecture notes,

University of Žilina, ISBN 978-80-554-0071-6

Yilmaz Marschalko, I.M., Bednárik, M.

(2011) Gypsum collapse hazards and importance of hazard mapping. Carbonates and

Evaporites, 26 (2), pp. 193-209.

Yilmaz, I., Marschalko, M., Yildirim, M., Dereli, E., Bednarik, M.

Preparation of the GIS based kinematic slope instability and slope mass rating (SMR) maps: An application to a

railway route in Sivas (Turkey)

(2012) Bulletin of Engineering Geology and the Environment,


Drusa M.; University of Žilina, Department of GeotechnicsSlovakia

Sponsors:

Publisher: International Multidisciplinary Scientific Geoconference

Conference name: 14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014

Conference date: 17 June 2014 through 26 June 2014

Conference code: 109709

ISSN: 13142704

ISBN: 9786197105087


Abbreviated Source Title: Int. Multidisciplinary Sci. Geoconf. Surveying Geology Mining Ecology Manage.,

SGEM

Document Type: Conference Paper

Source: Scopus

Chebeň, V.

Performance of geocell foundation on compressible soil



University of Žilina, Slovakia

Abstract Contemporary geotechnical engineering is challenged with building in difficult geological environment while

design has to be structurally and economically effective. Such proposals require use of new materials and methods

that fulfill all the requirements of the project. Compressible high plasticity clay is generally unwanted foundation

soil for many professionals. Costly solutions such as soil replacement, lime stabilization and other can be an option

when high ground water level does not occur. Proposed paper compares gravel mattress and geocell reinforced

embankment for subbase of heavily loaded floor/pavement. A full-scale field tests were carried out to research

deformation characteristics and its performance on soft subgrade. Concept of hardening effect of geocell reinforced

structure has been verified as measurements were performed with the time span of almost 2 years.

Author Keywords Geocell; Gravel mattress; Plate load test; Soft soil

Index Keywords Geology, Geotechnical engineering, Gravel, Groundwater, Reinforcement, Soils, Water levels; Deformation

Characteristics, Full-scale field tests, Geocells, Geological environment, Plate load tests, Reinforced

embankments, Reinforced structures, Soft soils; Stabilization

References

Adam, C.H., Adam, D., Kopf, F., Paulmichl, I.

Computational validation of static and dynamic plate load testing,

(2009) Acta Geotechnica, 4.

Berlin

Decký, M.-D., Pepucha, M., Ľ Zgútová, K.

(2013) Earth Structures of Transport Constructions. Pearson Education Limited, 180p.

Edinburg Gate, Harlow, Essex CM20 2JE. Edited by Martin Decký, ISBN 978-1-78399-925-5

Drusa, M.

(2012) Improvement In Evaluation of Neogenous Soils By Cpt Testing in 12th International Multidisciplinary

Scientific GeoConference Proceedings, 2, pp. 151-158.

ISSN 1314-2704, June 17-23

Drusa, M., Lamich, D., Vlcek, J., Heviankova, S., Kyncl, M., Kais, L., Marschalko, M., Bednarik, M.

Design Limits of Reinforced Soil Structures In Difficult Geological Conditions.

(2013) 13th SGEM GeoConference Proceedings, 2, pp. 71-78.

ISBN 978-954-91818-8-3/ISSN 1314-2704, June 16-22

Kubecka, K., Kubeckova, D., Penaz, T., Marschalko, M., Yilmaz, I., Bouchal, T., Drusa, M., Duraj, M.

The Role Of Engineering-Geological Zones In Foundation Engineering

(2012) 12th International Multidisciplinary Scientific GeoConference Proceedings, 2, pp. 339-346.

ISSN 1314-2704, June 17-23

Marschalko, M., Yilmaz, I., Kubečka, K., Bouchal, T., Bednárik, M., Drusa, M., Bendová, M.

Utilization of ground subsidence caused by underground mining to produce a map of possible land-use areas for

urban planning purposes

(2014) Arabian Journal of Geosciences, pp. 1-10.

Meshless, M.

(2013) Conference, 2, pp. 249-256.

solution of the slope stability, SGEM, Proceedings, ISBN 978-954-91818-8-3/ISSN 1314-2704, June 16-22,

2013

Pokharel, S.K., Han, J., Leshchinsky, D., Parsons, R.L.

Halahmi I.:Investigation of factors influencing behavior of single geocell-reinforced bases under static loading,

(2010) Geotextiles and Geomembranes, 28 (6).

December

Rajagopal, K., Krishnaswamy, N.R., Latha, G.

Behavior of sand confined with single and multiple geocells.

(1999) Geotextiles and Geomembranes, 17 (3), pp. 171-184.

June

Geosyntetika. Ťahová skúška pevnosti širokej vzorky,

STN EN ISO 10319

Geosyntetika. Ťahová skúška pevnosti spojov/švov metódou Strip na širokých vzorkách,

STN EN ISO 10321

Zhang, L., Zhao, M., Zou, X., Zhao, H.

Deformation analysis of geocell reinforcement using Winkler model.


July

Zhang, L., Zhao, M., Shi, C., Zhao, H.

Bearing capacity of geocell reinforcement in embankment engineering,


October


Cheben V.; University of ŽilinaSlovakia

Sponsors:





ISSN: 13142704

ISBN: 9786197105087



SGEM


Source: Scopus

Drusa, M., Vlček, J., Kais, L.

Analysis of piled embankment on soft soil



University of Žilina, Department of Geotechnics, Slovakia

Abstract There are various types of solutions for the design of embankment foundation on soft subsoil. Good results are

obtained using combined soil structures reinforced by geosynthetics. Advantages of these structures lie in

simplicity of construction, costeffectiveness, the ability of better resistance against non-homogeneous foundation

conditions. Additionally, resistance to extreme situations (seismic load, floods, etc.), as well as resistance to

dynamic load effects from transport and uneven settlements is vastly improved. Currently, there are many design

recommendations by several authors, but only a few standard procedures. New recommended methods can still be

introduced for design of piled embankment demonstrated on real construction part of modernized high-speed

railway line.

Author Keywords High strength geogrids; Load transfer platform; Piled embankment; Soft subsoil

Index Keywords Design, Dynamic loads, Geosynthetic materials, Railroad transportation, Soils; Design

recommendations, Embankment foundation, Geogrids, High - speed railways, Load transfer platforms, Piled

embankments, Soft subsoil, Standard procedures; Embankments

References

Alexiew, D.

Piled embankments: Overview of Methods of significant Case studies

(2006) 13th Danube European Conference on Geotechnical Engineering,

8006, B.S.

(2010) Code of Practice for Strengthened/Reinforced Soils and Other Fills,

British Standard Institution, London

Decký, M.

Non-Destructive Determining CBR Values of Ground Structures of Engineering Constructions

(2013) Journal of International Scientific Publications: Ecology & Safety, 7, pp. 122-129.

ISSN 1313-2563

Decký, M., Drusa, M., Pepucha, Ľ., Zgútová, K.

(2013) Earth structures of transport constructions/Harlow, p. 180.

Essex: Pearson, ISBN 978-1-78399-925-5

Drusa, M., Prelovský, B., Naughton, P.

Optimization study of basal reinforcement layer of the embankment on subsoil

(2009) Geosyntetika v stavebníctve: 5- International conference: Žilina, pp. 43-48.

12-13. 2. 2009: Edis ŽU, ISBN 978-80-8070-977-8

Kempfert, H.G., Göbel, C., Alexiew, D., Heitz, C.

German recommendations for the reinforced embankments on pile-similar elements

(2004) Proc. 3rd European Conf. On Geosynthetics, pp. 279-284.

Munich

Malík, F.

Using of piled embankments of Augeo system a vertical prefabricated drains Mebradrain

(2008) proceedings of 13 Seminar Strahos,

ISBN 978-80-8070- 920-4 (in Slovak)

Marschalko, M., Bednárik, M., Yilmaz, I., Bouchal, T., Kubečka, K.


(2012) Bulletin of engineering geology and the environment, 71 (1), pp. 105-111.

Marschalko, M., Yilmaz, I., Bednarik, M., Kubecka, K.

Influence of mining activity on slope deformations genesis: Doubrava Vrchovec, Doubrava Ujala and Staric

case studies from Czech Republic

(2012) Engineering Geology, 147-148, pp. 37-51.

Prelovsky, B., Naughton, P.J., Scotto, M., Kempton, G.T.

Development Of Piled Embankments Techniques Over 25 Years

(2008) Proceedings of Zakladanie Brno,

Russell, D., Pierpoint, N.

An assessment of design methods for piled embankments

(1997) Ground Engineering, pp. 39-44.

Yilmaz Marschalko, I.,M., Bednárik, M.

(2011) Gypsum collapse hazards and importance of hazard mapping. Carbonates and

Evaporites, 26 (2), pp. 193-209.

Zgútová, K., Decký, M., Ďureková, D.

Implementation of static theory of impulse into correlation relations of relevant deformation characteristics of

earth construction

(2012) conference proceedings, pp. 107-115.

SGEM 2012, 17-23, June , Albena, Bulgaria: , Sofia: STEF92 Technology, 2012. ISSN 1314-2704


Drusa M.; University of Žilina, Department of GeotechnicsSlovakia

Sponsors:





ISSN: 13142704

ISBN: 9786197105087



SGEM


Source: Scopus

Buccheri, G.a , Andráš, P.a b c , Dadová, J.b , Kupka, J.b

Heavy metal contamination and its impact on plants at Caporciano Cu-mine (Montecatini Val di Cecina, Italy)

(2014) Carpathian Journal of Earth and Environmental Sciences, 9 (4), pp. 73-81.

a Faculty of Science, Matej Bel University, Tajovského 40Banská Bystrica, Slovakia

b Faculty of Mining and Geology, VSB-Technical University of Ostrava, 17. listopadu, 15Ostrava-Poruba, Czech

Republic c State Nature Conservancy of the Slovak Republic, Tajovského ul. 28BBanská Bystrica, Slovakia

Abstract This article reports an environmental study concerning the abandoned Caporciano copper mine in Montecatini Val

di Cecina. The environmental matrices (water, soil, dump sediments, plants) of the studied mining sites were

investigated in order to evaluate its environmental status. The heavy metals mobilization can cause contamination

of country components. Our attention was focused on heavy metal content in the studied environmental matrices.

Concentration values which we found out by laboratory analyses were also compared with concentration limits

provided by Italian law (L.D. 152/06) as far as soil and water are concerned. Acidification potential of dump

sediments and soils from the dump was also studied. The acidification risk seems to be negligible. The

bioconcentration factor (BIF <1) and translocation factor (TF in average 4.063 for Pinus sp. and 3.340 for Quercus

sp.) of the heavy metals in the studied plants indicate that the plants are excluders. Also the enrichment factor (EF)

is not very high. The highest EF value was calculated for Cd in Pinus sp. (in average 42.59), while for Mn, Pb and

Cu in Quercus sp. (EF = 8.10, 8,00, 8.23 in average). The lowest EF shows Cd in Quercus sp. (1.19 in average).

Author Keywords Biocaccumulation factor; Contamination; Dump-field; Enrichment factor; Heavy

metals; Plants; Soil; Translocation factor

Index Keywords acidification, bioaccumulation, concentration (composition), copper, enrichment, growth response, heavy

metal, mine waste, plant, soil pollution; Caporciano, Italy; Cecina, Quercus

References

Andráš, P., Turisová, I., Šlesárová, A., Lichỳ, A.

Influence of the dump sites on development of selected plants in the Lubietová area (Slovakia).


Andráš, P., Turisová, I., Krnác, J., Dirner, V., Voleková-Lalinská, B., Buccheri, G., Jelen, S.

Hazards of heavy metal contamination at Lubietová Cu-deposit (Slovakia).

(2012) Procedia Environ-mental Sciences, pp. 3-21.

Andráš, P., Dirner, V., Turisová, I., Vojtková, H.

(2014) Remnants of old activity at abandoned Cu-deposits., p. 440.

Ekomonitor, Ostrava

Aschenbrenner, Š., Turisová, I., Štrba, T.

Flóra a vegetácia haldového pola v Španej Doline.

(2011) Acta Universitatis Matthiae Belii, ser. Environmen-talne manažérstvo, 13 (2), pp. 48-57.

Banásová, V., Horak, O., Ciamporová, M., Nadubinská, M., Lichtscheidl, I.

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Publisher: North University of Baia Mare

ISSN: 18424090


Abbreviated Source Title: Carpath. J. Earth Environ. Sci.


Source: Scopus

Jaafari, A.a , Najafi, A.a , Pourghasemi, H.R.b , Rezaeian, J.c , Sattarian, A.d

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian

forest, northern Iran

(2014) International Journal of Environmental Science and Technology, 11 (4), pp. 909-926.

a Department of Forestry, Tarbiat Modares University (TMU), P.O. Box: 64414-356, Noor, Mazandaran, Iran b Department of Watershed Management Engineering, Tarbiat Modares University (TMU), Noor, Iran c Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran d Department of Forestry, Gonbad Kavous University, Gonbad Kavous, Iran

Abstract This study presents a landslide susceptibility assessment for the Caspian forest using frequency ratio and index of

entropy models within geographical information system. First, the landslide locations were identified in the study

area from interpretation of aerial photographs and multiple field surveys. 72 cases (70 %) out of 103 detected

landslides were randomly selected for modeling, and the remaining 31 (30 %) cases were used for the model

validation. The landslide-conditioning factors, including slope degree, slope aspect, altitude, lithology, rainfall,

distance to faults, distance to streams, plan curvature, topographic wetness index, stream power index, sediment

transport index, normalized difference vegetation index (NDVI), forest plant community, crown density, and

timber volume, were extracted from the spatial database. Using these factors, landslide susceptibility and weights

of each factor were analyzed by frequency ratio and index of entropy models. Results showed that the high and

very high susceptibility classes cover nearly 50 % of the study area. For verification, the receiver operating

characteristic (ROC) curves were drawn and the areas under the curve (AUC) calculated. The verification results

revealed that the index of entropy model (AUC = 75.59 %) is slightly better in prediction than frequency ratio

model (AUC = 72.68 %). The interpretation of the susceptibility map indicated that NDVI, altitude, and rainfall

play major roles in landslide occurrence and distribution in the study area. The landslide susceptibility maps

produced from this study could assist planners and engineers for reorganizing and planning of future road

construction and timber harvesting operations. © 2013 Islamic Azad University (IAU).

Author Keywords Forest road construction; Mountainous terrain; Slope stability; Susceptibility modeling

Index Keywords Entropy, Geographic information systems, Landslides, Lithology, Logging (forestry), Rain, Road

construction, Sediment transport, Slope stability; Landslide susceptibility, Landslide susceptibility

assessments, Mountainous terrain, Normalized difference vegetation index, Occurrence and distribution, Receiver

operating characteristic curves, Timber harvesting operations, Topographic wetness index; Slope protection;

entropy, GIS, landslide, mountain region, NDVI, plant community, risk assessment, road construction, sediment

transport, slope stability, terrain; Earth Movement, Entropy, GIS, Logging, Rain; Iran

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Najafi A.; Department of Forestry, Tarbiat Modares University (TMU), P.O. Box: 64414-356, Noor, Mazandaran,

Iran; email: [email protected]

Publisher: Center for Environmental and Energy Research and Studies

ISSN: 17351472

DOI: 10.1007/s13762-013-0464-0


Abbreviated Source Title: Int. J. Environ. Sci. Technol.


Source: Scopus

Mužík, J.

A 2-D meshless model for soil subsurface settlement

(2014) Applied Mechanics and Materials, 617, pp. 209-214.

University of Zilina, Univerzitná 8215/1, 010 26 Zilina, Slovakia

Abstract The paper deals with use of the meshless method for soil subsurface settlement analysis. There are many

formulations of the meshless methods. The article presents the Meshless Local Petrov-Galerkin method (MLPG) -

local weak formulation of the equilibrium equations. The main difference between meshless methods and the

conventional finite element method (FEM) is that meshless shape functions are constructed using randomly

scattered set of points without any relation between points. The Heaviside step function is test function used in the

meshless implementation presented in the article. Heaviside test function makes weak formulation integral very

simple, because only body integral in governing equation is due a body force. © (2014) Trans Tech Publications,

Switzerland.

Author Keywords Heaviside step function; Meshless local Petrov-Galerkin method; Meshless methods; Moving least

squares; Numerical methods

Index Keywords Galerkin methods, Numerical methods, Partial differential equations; Equilibrium equation, Governing

equations, Heaviside step function, Mesh-less methods, Meshless Local Petrov-Galerkin Methods, Meshless shape

functions, Moving least squares, The meshless local petrov-galerkin methods (MLPG); Soil testing

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A meshless Local Petrov-Galerkin (MLPG) formulation for static and free vibration analyses of thin plates

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Kovarik, K.

Numerical simulation of groundwater flow and pollution transport using the dual reciprocity and RBF method

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Kovarik, K., Sitanyiova, D., Masarovicova, S.

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University of Zilina

Izvoltova, J., Villim, A.

Identification of observations errors by Gauss-Jacobi algorithm [Aplikacia Gauss-Jacobiho algoritmu pri

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Nguyen, G.

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Design limits of reinforced soil structures in difficult geological conditions

(2013) SGEM 2013, GeoConference On Science and Technologies In Geology, Exploration and Mining, 13th

International Multidisciplinary Scientific Geoconference, pp. 71-78.


Muzik J.; University of Zilina, Univerzitná 8215/1, 010 26 Zilina, Slovakia; email: [email protected]

Sponsors:

Publisher: Trans Tech Publications Ltd

Conference name: 6th International Scientific Conference on Dynamic of Civil Engineering and Transport

Structures and Wind Engineering, DYN-WIND 2014

Conference date: 25 May 2014 through 29 May 2014

Conference location: Donovaly


ISSN: 16609336

ISBN: 9783038351979

DOI: 10.4028/www.scientific.net/AMM.617.209


Abbreviated Source Title: Appl. Mech. Mater.


Source: Scopus

Holzer, R., Bednarik, M., Laho, M.

Are there rocks of the Brezovské Karpaty Mts. suitable for construction and decoration purpose? [Sú horniny z

Brezovských Karpát vhodné na stavebné a dekoračné účely?]

(2014) Acta Geologica Slovaca, 6 (1), pp. 13-27.

Katedra Inžinierskej Geológie, Prírodovedecká Fakulta, Univerzita Komenského v Bratislave, Mlynská dolina G,

842 15 Bratislava, Slovakia

Abstract This research has focused on assessing the most important physical and mechanical properties of rocks quarried in

the Brezovské Karpaty Mts. Carbonate sandstones and conglomerates of Upper Cretaceous and carbonate

sandstone of Neogene sedimentary strata were considered. The sites Chtelnica - Trianova and Chtelnica - Malé

Skalky were chosen as appropriate material for monuments and for restoration work. Samples for the assessment of

rock properties were taken from abandoned and operated quarries. The tested specimens for laboratory tests in a

form of cubes and cylinders were prepared from monoliths and drilled cores were taken from the depth up to 1 m

within the rock mass. To broaden the scope of the investigations previous research results from quarries at St.

Margarethen (Burgenland, Austria) in similar lithological type were also included. Thin sections were made from

one of the drill cores from each quarry. The rock quality and durability were assessed through laboratory testing of

physical and mechanical properties, including measurements of real and apparent density, porosity, water

absorption capacity, uniaxial compressive strength (UCS) for both dry and water-saturated rock samples and for

samples following repeated freeze-thaw cycles, the coefficient of softening and the coefficient of freezing. All

investigated rock samples had different porosities and absorption capacities. They also differed in their UCS

values, which varied greatly but mostly belonged to the weak rock category (UCS below 50 MPa). Based on

physical and mechanical properties of rocks assessed on a number of tested samples from two investigated sites in

Slovakia and one comparable site in Austria, quality assurance of the rock utilization as a decoration/restoration

material is presented.

Author Keywords Chtelnica - Malé Skalky quarry; Chtelnica - Trianova quarry; Decoration; Physical and mechanical rock

properties; Restoration and building stone; Weak rocks

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Characteristics and sources of the dimension stone used on significant historic buildings and monuments in

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Hornáčková, A.

(2008) Dobrovodský Kameň, pp. 47-48.

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Laho, M.

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Source: Scopus

Cajka, R., Krejsa, M.

Measured data processing in civil structure using the DOProC method

(2014) Advanced Materials Research, 859, pp. 114-121. Cited 8 times.

Department of Structures, VSB - Technical University Ostrava, Ludvika Podeste 1875/17, 708 33 Ostrava -

Poruba, Czech Republic

Abstract This paper describes the use of measured values in the probabilistic tasks by means of the new method which is

under development now - Direct Optimized Probabilistic Calculation (DOProC). This method has been used to

solve a number of probabilistic tasks. DOProC has been applied in ProbCalc - a part of this software is a module

for entering and assessing the measured data. The software can read values saved in a text file and can create

histograms with non-parametric (empirical) distribution of the probabilities. In case of the parametric distribution,

it is possible to make selection from among 24 defined types and specify the best choice, using the coefficient of

determination. This approach has been used, for instance, for modelling and experimental validation of reliability

of an additionally prestressed masonry construction. © (2014) Trans Tech Publications, Switzerland.

Author Keywords Bounded histogram; Direct optimized probabilistic calculation; DOProC method; HistAn; Probability

distribution; ProbCalc

Index Keywords Civil engineering, Data processing, Graphic methods, Statistical methods; Bounded histogram, Coefficient of

determination, DOProC method, Experimental validations, HistAn, Measured values, Parametric

distributions, ProbCalc; Probability distributions

References

Cajka, R., Stara, M., Mateckova, P., Janulikova, M.

Experimental Test of Brick Corner: Paper #21

(2011) Transactions of the VSB - Technical University of Ostrava: Construction Series, 11 (2), pp. 1-6.

Versita, ISSN 1804-4824. DOI: 10.2478/v10160-011-0021-z

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Inspection Based Probabilistic Modeling of Fatigue Crack Progression

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The foundation slab monitoring of the National Supercomputing Center - IT4 Innovations during construction


Brno, ISBN 978-80-214-4800-1

Krivy, V., Fabian, L.

Calculation of corrosion losses on weathering steel structures


ISSN: 16609336, ISBN: 978-303785452-5, DOI: 10.4028/www.scientific.net/AMM.188.177

Lokaj, A., Vavrusova, K., Rykalova, E.

Application of laboratory tests results of dowel joints in cement-splinter boards VELOX into the fully

probabilistic methods (SBRA method)


ISSN: 16609336, ISBN: 978-303785291-0, DOI: 10.4028/www.scientific.net/AMM.137.95

Marschalko, M., Fuka, M., Treslin, L.

Measurements By the Method of Precise Inclinometry On Locality Affected By Mining

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Mikolasek, D., Sucharda, O., Brozovsky, J.

Analysis of composite timber-concrete ceiling structure by finite element method

(2013) Applied Mechanics and Materials, 351-352, pp. 254-259.

ISSN: 16609336, DOI: 10.4028/www.scientific.net/AMM.351-352.254

Novak, D., Vorechovsky, M., Teply, B.

FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation

module

(2013) Advances In Engineering Software,

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Stara, M., Janulikova, M.

Laboratory Measurements and Numerical Modeling of Prestressed Masonry


ISSN 1877-7058, DOI: 10.1016/j.proeng.2013.09.064

Sykora, M., Holicky, M., Markova, J.

Verification of existing reinforced concrete bridges using the semi-probabilistic approach

(2013) Engineering Structures, 56, pp. 1419-1426.

ISSN: 01410296, DOI: 10.1016/j.engstruct.2013.07.015

Vavrusova, K.

New alternative methods for design of joints and elements of timber structures


ISSN: 16609336, ISBN: 978-303785774-8, DOI: 10.4028/www.scientific.net/AMM.351-352.1710

Vorechovska, D., Teply, B., Chroma, M.

Probabilistic assessment of concrete structure durability under reinforcement corrosion attack

(2010) Journal of Performance of Constructed Facilities, 24 (6), pp. 571-579.

ISSN: 08873828, DOI: 10.1061/(ASCE)CF.1943-5509.0000130

Sponsors: Beijing Gireida Education Research Center; International Science and Education Researcher

Association, China; VIP-Information Conference Center,China

Publisher: Trans Tech Publications

Conference name: 2013 2nd International Conference on Civil Engineering and Material Engineering, CEME 2013

Conference date: 21 December 2013 through 22 December 2013

Conference location: Wuhan


ISSN: 10226680

ISBN: 9783037859797

DOI: 10.4028/www.scientific.net/AMR.859.114


Abbreviated Source Title: Adv. Mater. Res.


Source: Scopus

Pradhan, A.M.S., Kim, Y.-T.

Relative effect method of landslide susceptibility zonation in weathered granite soil: A case study in Deokjeok-ri

Creek, South Korea


Geosystems Engineering Laboratory, Department of Ocean Engineering, Pukyong National University, 559-1,

Daeyeon3-dong, Nam-gu, Pusan, 608-737, South Korea

Abstract The objective of this study was to produce and evaluate a landslide susceptibility map for weathered granite soils in

Deokjeok-ri Creek, South Korea. The relative effect (RE) method was used to determine the relationship between

landslide causative factors (CFs) and landslide occurrence. To determine the effect of CFs on landslides, data

layers of aspect, elevation, slope, internal relief, curvature, distance to drainage, drainage density, stream power

index, sediment transport index, topographic wetness index, soil drainage character, soil type, soil depth, forest

type, timber age, and geology were analyzed in a geographical information system (GIS) environment. A GIS-

based landslide inventory map of 748 landslide locations was prepared using data from previous reports, aerial

photographic interpretation, and extensive field work. A RE model was generated from a training set consisting of

673 randomly selected landslides in the inventory map, with the remaining 75 landslides used for validation of the

susceptibility map. The results of the analysis were verified using the landslide location data. According to the

analysis, the RE model had a success rate of 86.3 % and a predictive accuracy of 88.6 %. The validation results

showed satisfactory agreement between the susceptibility map and the existing data on landslide locations. The

results of this study can therefore be used to mitigate landslide-induced hazards and to plan land use. © 2014

Springer Science+Business Media Dordrecht.

Author Keywords Deokjeok-ri Creek; GIS; Landslide susceptibility; Relative effect; Weathered granite soil

Index Keywords GIS, land use change, land use planning, map, sediment transport, slope dynamics, soil depth, soil erosion;

Deokjeok-ri Creek, Kangwon, South Korea

Funding Details

National Research Foundation

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Upreti, B.N., Dhital, M.R.

(1996) Landslide Studies and Management in Nepal,

Kathmandu: International Centre for Integrated Mountain Development (ICMOD)



(2010) Comput Geosci, 36 (9), pp. 1101-1114.

van Westen, C.J.

GIS in landslide hazard zonation: a review, with examples from the Andes of Colombia

(1994) Mountain Environments and Geographic Information Systems, pp. 135-165.

M. F. Price and D. I. Heywood (Eds.), The Netherlands: Taylor and Francis

van Westen, C.

(1997) Statistical Landslide Hazard Analysis ILWIS 2.1 for Windows Application Guide, pp. 73-84.

Enschede: ITC

van Westen, C.J., Rengers, N., Soeters, R.


(2003) Nat Hazards, 30, pp. 399-419.

Varnes, D.J.

(1984) Commission on Landslides and Other Mass Movements: Landslide Hazard Zonation: A Review of

Principles and Practice,

Paris: UNESCO Press

Vázquez-Selem, L., Zinck, A.J.

Modeling gully distribution on volcanic terrains in the Huasca area, central Mexico

(1994) ITC J, 3, pp. 238-251.

Wan, S.

A spatial decision support system for extracting the core factors and thresholds for a landslide susceptibility map

(2009) Eng Geol, 108, pp. 237-251.

Wieczorek, G.F.

Preparing a detailed landslide-inventory map for hazard evaluation and reduction

(1984) As Eng Geol Bull, 21 (3), pp. 337-342.

Yalcin, A.

(2005) An investigation of the Ardesen (Rize) region based on landslide susceptibility,

Karadeniz Technical University, PhD Thesis (in Turkish)

Yeon, Y.K., Han, J.G., Ryu, K.H.

Landslide susceptibility mapping in Inje, Korea, using a decision tree

(2010) Eng Geol, 116 (2010), pp. 274-283.

Zinck, J.A., López, J., Metternicht, G.I., Shrestha, D.P., Vázquez-Selem, L.

Mapping and modelling mass movements and gullies in mountainous areas using remote sensing and GIS

techniques

(2001) Int J Appl Earth Obs Geoinf, 3 (1), pp. 43-53.


Kim Y.-T.; Geosystems Engineering Laboratory, Department of Ocean Engineering, Pukyong National University,

559-1, Daeyeon3-dong, Nam-gu, Pusan, 608-737, South Korea; email: [email protected]

Publisher: Kluwer Academic Publishers

ISSN: 0921030X

DOI: 10.1007/s11069-014-1065-z




Source: Scopus

Mužík, J.

Application of the meshless local Petrov-Galerkin method for subsoil bearing capacity analysis



University of Zilina, Slovakia

Abstract The paper deals with use of the meshless method for subsoil bearing capacity analysis. There are many

formulations of the meshless methods. The article presents the Meshless Local Petrov-Galerkin method (MLPG)–

local weak formulation of the equilibrium equations. The main difference between meshless methods and the

conventional finite element method (FEM) is that meshless shape functions are constructed using randomly

scattered set of points without any relation between points. The shape function construction is the crucial part of

the meshless numerical analysis in the construction of shape functions. The article presents the solution of the

Prandtl ultimate load of the fully saturated soil strip.

Author Keywords Bearing capacity; Meshless analysis; Meshless Petrov-Galerkin method

Index Keywords Bearing capacity, Galerkin methods, Soils; Capacity analysis, Equilibrium equation, Mesh-less

methods, Meshless, Meshless Local Petrov-Galerkin Methods, Meshless shape functions, Petrov-Galerkin

methods, The meshless local petrov-galerkin methods (MLPG); Finite element method

References

Gu, Y.T., Liu, G.R.

A Meshless Local Petrov-Galerkin (MLPG) Method for Free and Forced Vibration Analyses for Solids

(2001) Computational Mechanics, 27, pp. 188-198.

Kovarik, K.


(2011) Boundary elements and other mesh reduction methods XXXIII, pp. 253-264.


Gu, Y.T., Liu, G.R.


(2001) Computer Modeling in Engineering & Sciences., pp. 463-476.


(2008), p. 217.

Vodohospodarske stavby. University of Zilina

Kovarik, K.


(2010) Komunikacie–Communications, pp. 5-10.


Aplikacia Gauss-Jacobiho algoritmu pri identifikacii chyb merania

(2012) Civil and environmental engineering, 8, pp. 13-17.

Masarovicova, S.

Testing of rockfill material for soil structures design

(2012) Theoretical foundation of civil engineering: XXI Russian, pp. 441-446.

Slovak-Polish Seminar: Moscow-Arkhangelsk, 2012.-Warszawa: Politechnika Warszawska, ISBN 978-83-

7814-021-4

Decký, M., Drusa, M., Pepucha, Ľ., Zgútová, K.

EarthStructures of Transport Constructions

Pearson Education Limited 2013, p. 180.

Edinburg Gate, Harlow, Essex CM20 2JE, ISBN978-1-78399-925-5

Izvoltova, J.

Studentized residuals in the process of outliers detection

(2012) RU-PL-SK seminar: Theoretical Foundation of Civil Engineering,

Archangelsk, ISBN 978-7814-021-4


Design limits of reinforced soil structures in difficult geological conditions

(2013) SGEM 2013, GeoConference on science and technologies in geology, exploration and mining, 13th

international multidisciplinary scientific geoconference, pp. 71-78.

Nguyen, G.



(2012) Theoretical foundation of civil engineering: XXI Russian, pp. 451-456.

Slovak–Polish 2012, Warszawa: Politechnika Warszawska, ISBN 978-83-7814-021-4


Muzik J.; University of ZilinaSlovakia

Sponsors:





ISSN: 13142704

ISBN: 9786197105087



SGEM


Source: Scopus

Mužík, J.

Analysis of geotechnical structures using meshless local petrov-galerkin radial point interpolation method




Abstract The paper deals with use of the meshless method for soil stress-deformation analysis. There are many formulations

of the meshless methods. The article presents the Meshless Local Petrov-Galerkin method (MLPG) – local weak

formulation of the equilibrium equations. The main difference between meshless methods and the conventional

finite element method (FEM) is that meshless shape functions are constructed using randomly scattered set of

points without any relation between points. The shape function construction is the crucial part of the meshless

numerical analysis in the construction of shape functions. The article presents the radial point interpolation method

(RPIM) for the shape functions construction.

Author Keywords Meshless analysis; Meshless petrov-galerkin method; Soil settlement

Index Keywords Computational mechanics, Galerkin methods, Interpolation; Geotechnical structure, Meshless, Meshless local

Petrov-Galerkin, Meshless shape functions, Petrov-Galerkin methods, Radial point interpolation method, Soil

settlements, The meshless local petrov-galerkin methods (MLPG); Finite element method

References

Gu, Y.T., Liu, G.R.

A Meshless Local Petrov-Galerkin (MLPG) Method for Free and Forced Vibration Analyses for Solids

(2001) Computational Mechanics, 27, pp. 188-198.

Kovarik, K.


(2011) Boundary elements and other mesh reduction methods XXXIII, pp. 253-264.


Gu, Y.T., Liu, G.R.


(2001) Computer Modeling in Engineering & Sciences, pp. 463-476.


(2008) Vodohospodarske stavby, p. 217.

University of Zilina

Kovarik, K.


(2010) Komunikacie – Communications, 3a, pp. 5-10.


Aplikacia Gauss-Jacobiho algoritmu pri identifikacii chyb merania

(2012) Civil and environmental engineering, 8 (1), pp. 13-17.

Masarovicova, S.

(2012) Testing of rockfill material for soil structures design, In: Theoretical foundation of civil

engineering, pp. 441-446.

XXI Russian -Slovak -Polish Seminar: Moscow -Arkhangelsk, Warszawa: Politechnika Warszawska, 2012,

ISBN 978-83-7814-021-4

Shu, C., Ding, H., Yeo, K.S.

Local Radial Basis Function-based Differential Quadrature Method and its Application to Solve Two-

dimensional Incompressible Navier-Stokes Equations

(2003) Comput. Meth. Appl. Mech. Eng, 192, pp. 941-954.

Izvoltova, J.

Studentized residuals in the process of outliers detection

(2012) RU-PL-SK seminar: Theoretical Foundation of Civil Engineering,

Archangelsk, ISBN 978-7814-021-4


Design limits of reinforced soil structures in difficult geological conditions. SGEM 2013

(2013) GeoConference on science and technologies in geology, exploration and mining, 13th international

multidisciplinary scientific geoconference, pp. 71-78.

Nguyen, G.



(2012) Theoretical foundation of civil engineering, pp. 451-456.

XXI Russian -Slovak ň– Polish, Warszawa: Politechnika Warszawska, 2012. -ISBN 978-83-7814-021-4


Muzik J.; University of ZilinaSlovakia

Sponsors:





ISSN: 13142704

ISBN: 9786197105087



SGEM


Source: Scopus

Xiaojun, Z., Guangli, G., Jianfeng, Z., Qingbiao, G.

Dynamic surface subsidence characteristics due to shallow coal seam mining on small time scales

(2014) Electronic Journal of Geotechnical Engineering, 19 (Z1), pp. 9543-9561.

Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and

Technology Xuzhou, China

Abstract Surface subsidence is the most common disaster in mining areas and has resulted in a series of geological

problems, especially subsidence disasters due to shallow coal seam mining is serious. Based on a physical

modeling test of shallow coal seam mining, the dynamic subsidence characteristics on the small time scale in

different affected areas are studied. Simulated results indicate that the dynamic subsidence of surface points above

the mining panel is time-scale dependent. The subsidence-time curve of a surface point is ladder-shaped and the

subsidence velocity-time curve shows periodic fluctuations on the small time scale, which is different from how it

shows on the large time scale. According to the relationship between subsidence velocity and time scale, the

subsidence process of a surface point in active subsidence phase above the working face can be divided into two

subsidence states: ladder-shaped rapid subsidence state and intermittent slow subsidence state. In the first state,

subsidence velocity presents negative exponential decay with an increase in time scale; strata breakage during the

mining process is the main reason for ladder-shaped subsidence. Additionally, it is easier to detect uplift

phenomenon at subsidence basin edges using monitoring data on small time scales. This study on the dynamic

surface subsidence characteristics on small time scales further improves the system of mining subsidence theory

and provides a theoretical reference for predicting surface subsidence disaster.

Author Keywords Shallow coal seam mining; Small time scales; Surface dynamic subsidence

Index Keywords Dynamic surface, Shallow coal seam, Surface dynamic subsidence, Time-scales; coal mining, coal seam, disaster

management, dynamic response, monitoring, prediction, subsidence, timescale

References

Cui, X.M., Wang, J.C., Liu, Y.S.

Prediction of progressive surface subsidence above longwall coal mining using a time function

(2001) International Journal of Rock Mechanics and Mining Sciences, 38 (7), pp. 1057-1063.

Cui, X.M., Miao, X.X., Su, D.G., Ma, W.M.

Error analysis in similar material simulation test of the movement of rock strata and surface

(2002) Chinese Journal of Rock Mechanics and Engineering, 21 (12), pp. 1827-1830.

Gao, F., Zhou, K.P., Dong, W.J., Su, J.H.

Similar material simulation of time series system for induced caving of roof in continuous mining under backfill

(2008) Journal of Central South University of Technology, 15 (3), pp. 356-360.

Gu, D.Z.

(1995) Similar material and similar model,

China University of Mining and Technology Press, Xuzhou

Guo, G.L., Feng, W.K., Zha, J.F., Liu, Y.X., Wang, Q.

Subsidence control and farmland conservation by solid backfilling mining technology

(2011) Transactions of Nonferrous Metals Society of China, 213, pp. S665-S669.

Huang, Q.X.

Ground pressure behavior and definition of shallow seams


Huang, L.T., Wnag, J.Z.

Research on laws and computational methods of dynamic surface subsidence deformation

(2008) Journal of China University of Mining and Technology, 37 (2), pp. 211-215.

Huang, Y.L., Zhang, J.X., An, B.F., Zhang, Q.

Overlying strata movement law in fully mechanized coal mining and backfilling longwall face by similar

physical simulation

(2011) Journal of Mining Science, 47 (5), pp. 618-627.

Jarosz, A., Karmis, M., Sroka, A.

Subsidence development with time - experiences from longwall operations in the Appalachian coalfield

(1990) International Journal of Mining and Geological Engineering, 8 (3), pp. 261-273.

Luo, F.

Current situation and structural analysis of coal resources

(2008), (3), pp. 91-96.

China Coal

Marschalko, M., Yilmaz, I., Kristkova, V., Fuka, M., Kubecka, K., Bouchal, T., Bednarik, M.

Optimization of building site category determination in an undermined area prior to and after exhausting coal

seams

(2012) International Journal of Rock Mechanics and Mining Sciences, 54, pp. 9-18.

Mitchell, R.J., Olsen, R.S., Smith, J.D.

Model studies on cemented tailings used in mine backfill: Can geotech J, V19, N1, Feb 1982, P14-28

(1983) International Journal of Rock Mechanics and Mining Sciences & Geomechanics

Abstracts, 20 (1), pp. 14-28.

Qian, M.G., Miao, X.X., Xu, J.L., Mao, X.B.

Theory of key strata in strata control

(2003), China University of Mining and Technology Press, Xuzhou

Wang, J.Z., Meng, Z.W., Ma, W.M., Xing, A.S.

The study of the maximum subsidence velocity measurements with a reasonable time interval

(1983), (3), pp. 31-34.

Mine Surveying

Yu, G.M., Yang, L., Wang, Y.Y., Shen, L.S., Su, Z.J.

Application of nonlinear science in the mining subsidence

(1997) Journal of Fuxin Mining institute, 16 (4), pp. 385-388.

Yang, H.C., Ddeng, K.Z., Guo, G.L.

Monitoring technique for deformation measurement of similar material model with digital close-range

photogrammetry

(2006) Journal of China Coal Society, 31 (3), pp. 292-295.

Zhang, J.X., Li, J., An, T.L., Huang, Y.L.

Deformation characteristic of key stratum overburden by raw waste backfilling with fully-mechanized coal

mining technology


Zhu, W.B., Xu, J.L., Shi, X.S., Wang, X.Z., Liu, W.T.

Research on influence of overburden primary key stratum movement on surface subsidence with in-situ drilling

test


Zhu, G.Y., Shen, H.X., Wang, L.G.

Study of dynamic prediction function of surface movement and deformation


Publisher: E-Journal of Geotechnical Engineering

ISSN: 10893032


Abbreviated Source Title: Electron. J. Geotech. Eng.


Source: Scopus

Cajka, R.a , Krejsa, M.b

Validating a computational model of a rooflight steel structure by means of a load test

(2014) Applied Mechanics and Materials, 501-504, pp. 592-598. Cited 5 times.

a Department of Structures, VSB - Technical University Ostrava, LudvikaPodeste 1875/17, 708 33 Ostrava-Poruba,

Czech Republic b Department of Structural Mechanics, VSB - Technical University Ostrava, LudvikaPodeste 1875/17, 708 33

Ostrava-Poruba, Czech Republic

Abstract During erection of a rooflight steel structure excessive deformation started appearing in the steel structure designed

for a rooflight. After repairing the load-carrying system it was necessary to check whether the structure was free of

permanent deformations. The situation was consulted with the investor and it was proposed to carry out a load test

which should prove that the real structure was in accordance with the computational model. © (2014) Trans Tech

Publications, Switzerland.

Author Keywords Computational model; Load test; Permanent deformation; Steel structure

Index Keywords Civil engineering, Computational methods, Load testing, Repair, Steel structures; Computational model, Load

carrying, Permanent deformations, Real structure, Roof-light; Deformation

References

Cajka, R.

Soil - structure interaction in case of exceptional mining and flood actions

(2005) Proceedings OfFinal Conference of COST Action C12: Improvement of Buildings' Structural Quality By

New Technologies,

University of Innsbruck, Austria, ISBN 04-1536-609-7

Cajka, R., Manasek, P.

Building Structures in Danger of Flooding

(2005) In Proceedings of IABSE Conference: Role of Structural Engineers Towards Reduction of Poverty, pp.

551-558+8.

New Delhi, India, ISBN 978-3-85748-111-6, WOS: 000245746100072

Cajka, R., Mateckova, P.

Different types of pre-stressed hollow core panels and their fire resistance according to eurocodes

(2010) Journal of Structural Fire Engineering, 1 (4), pp. 243-248+6.

ISSN 20402317, DOI: 10.1260/2040-2317.1.4.243

Cajka, R., Martinec, P.

Structural Failures of Buildings Caused by Volume Changes of Steel Slag

(2011) Transactions of the VSB - Technical University of Ostrava, Civil Engineering Series, 11 (2), pp. 1-9.

DOI: 10.2478/v10160-011-0037-4

Cajka, R., Mateckova, P., Stara, M., Janulikova, M.

Testing of pre-stressed masonry corner for tri-axial stress-strain analysis

(2012) In 3rd International Symposium On Life-Cycle Civil Engineering, pp. 1955-1958+4.

IALCCE 2012. Vienna; Austria, ISBN: 978-041562126-7


Structural reliability assessment using a direct determined probabilistic calculation

(2009) Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering

Computing,

DOI: 10.4203/ccp.91.72




Theory and Applications, 1-3, pp. 1467-1474+8.

London: Taylor & Francis Group, ISBN 978-0-415-55509-8. WOS: 000281188500203

Kala, Z.

Geometrically Non-linear Finite Element Reliability Analysis of Steel Plane Frames with Initial Imperfections

(2012) Journal of Civil Engineering and Management, 18 (1), pp. 81-90+10.

ISSN 1392-3730, DOI: 10.3846/13923730.2012.655306

Kala, J., Salajka, V., Hradil, P.

Investigation of eigenvalue problem of water tower construction interacting with fluid

(2012) Journal of Vibroengineering, 14 (3), pp. 1151-1159+9.

ISSN 1392-8716

Kralik, J.

Deterministic and probabilistic analysis of steel frame bracing system efficiency

(2013) Applied Mechanics and Materials, 390, pp. 172-177+6.

ISSN 1660-9336, ISBN 978-303785833-2, 10.4028/www.scientific.net/AMM.390.172


Using DOProC method in structural reliability assessment

(2013) Applied Mechanics and Materials: Mechatronics and Applied Mechanics II, 300-301, pp. 860-869+10.

Editors: ChingKuo Wang and Jing Guo. Zurich, Switzerland: Trans Tech Publications, ISSN 1660-9336, ISBN

978-303785651-2, 10.4028/www.scientific.net/AMM.300-301.860




(2013) The Scientific World Journal, 2013, p. 13.

Article ID 267593, 10.1155/2013/267593

Krejsa, M.


(2014) Proceedings of Conference ESREL 2013: Safety, Reliability and Risk Analysis: Beyond the Horizon, pp.

2671-2679+9.

Amsterdam, Nederland, 2013, London: Taylor & Francis Group, ISBN 978-1-138-00123-7

Krivy, V., Cajka, R.

Design and Reliability Assessment of Roof Structural Elements Using the New Digital Ground Snow Load Map

of the Czech Republic

(2011) Proceedings of 17th International Conference On Engineering Mechanics 2011, pp. 95-98+4.

ISBN 978-80-87012-33-8, WOS: 000313492700077




ISSN: 16609336, ISBN: 978-303785452-5, 10.4028/www.scientific.net/AMM.188.177





ISSN: 16609336, ISBN: 978-303785291-0, 10.4028/www.scientific.net/AMM.137.95



(2013) Applied Mechanics and Materials, 351-352, pp. 254-259+6.

ISSN: 16609336, 10.4028/www.scientific.net/AMM.351-352.254

Naprstek, J., Pospisil, S.

Response types and general stability conditions of linear aero-elastic system with two degrees-of-freedom

(2012) Journal of Wind Engineering and Industrial Aerodynamics, 111, pp. 1-13.

ISSN 0167-6105, DOI: 10.1016/j.jweia.2012.08.002

Pustka, D., Cajka, R., Marek, P., Kalocova, L.

Multi-Components Load Effect Analysis on a Slender Reinforced Concrete Column Using Probabilistic SBRA

Method

(2008) Proceedings of Eleventh East Asia-Pacific Conference On Structural Engineering & Construction -

Building a SustainableEnvironment, pp. 334-335+2.

Taipei, Taiwan, ISBN 978-986-80222-4-9



(2013) Engineering Structures, 56, pp. 1419-1426+8.

ISSN 0141-0296, DOI: 10.1016/j.engstruct.2013.07.015

Tesar, A., Melcer, J.

Structural monitoring in advanced bridge engineering

(2008) International Journal For Numerical Methods In Engineering, 74 (11), pp. 1670-1678+9.

ISSN 0029-5981, DOI: 10.1002/nme.2224

Vavrusova, K.

New alternative methods for design of joints and elements of timber structures

(2013) Applied Mechanics and Materials, 351-352, pp. 1710-1713+4.

ISSN: 16609336, ISBN: 978-303785774-8, 10.4028/www.scientific.net/AMM.351-352.1710

Vican, J., Sykora, M.

Numerical analysis of the bridge orthotropic deck time dependent resistance

(2013) Komunikacie, 15 (3), pp. 112-117+6.

ISSN 1335-4205

Sponsors:


Conference name: 3rd International Conference on Civil Engineering and Transportation, ICCET 2013


Conference location: Kunming


ISSN: 16609336

ISBN: 9783038350057

DOI: 10.4028/www.scientific.net/AMM.501-504.592




Source: Scopus


ProbCalc - An efficient tool for probabilistic calculations

(2014) Advanced Materials Research, 969, pp. 302-307.

VSB - Technical University Ostrava, Department of Structural Mechanics, Ludvika Podeste 1875/17, 708 33

Ostrava-Poruba, Czech Republic

Abstract The probabilistic methods are used in engineering tasks where a computational model contains random variables.

The new method - the Direct Optimised Probabilistic Calculation ("DOProC") - which is being developed now

seems to be highly efficient in terms of calculation time and accuracy of solution. The computation is purely

numerical and does not use any simulation techniques. The algorithm has been implemented in several software

applications which have been used in probabilistic tasks and probabilistic reliability assessments. © (2014) Trans

Tech Publications, Switzerland.

Author Keywords Anchor; Direct Optimised Probabilistic

Calculation; DOProC; FCProbCalc; HistAn; HistAn2D; HistAn3D; HistOp; Probabilistic

methods; Probability of failure; ProbCalc; Random variable; Reliability assessment

Index Keywords Anchors, Civil engineering, Random variables, Reliability analysis;

DOProC, FCProbCalc, HistAn, HistAn2D, HistAn3D, HistOp, Probabilistic methods, Probability of

failure, ProbCalc, Reliability assessments; Application programs

References


Measured data processing in civil structure using the DOProC method


ISSN: 1022-6680, DOI: 10.4028/www.scientific.net/AMR.859.114


Structural Reliability Assessment Using Direct Determined Probabilistic Calculation

(2009) Proceedings of the Twelfth International Conference On Civil, Structural and Environmental

Engineering Computing, p. 20.

CC 2009, Civil-Comp Press, ISBN 978-1-905088-31-7. Elsevier B.V., 2012, ISBN 978-190508830-0, DOI:

10.4203/ccp.91.72



(2010) Proceedings of European Safety and Reliability Conference (ESREL 2009), pp. 1467-1474.

Reliability, Risk and Safety: Theory and Applications, Taylor & Francis Group, ISBN 978-0-415-55509-8,

WOS: 000281188500203



(2010) Transactions of the VŠB, 10 (1), pp. 1-11.

Technical University of Ostrava, Civil Engineering Series, ISSN (Online) 1804-4824, ISSN (Print) 1213-1962,

DOI: 10.2478/v10160-010-0010-7



(2012) Transactions of the VŠB, 12 (2), pp. 48-58.

Technical University of Ostrava, Civil Engineering Series, ISSN (Online) 1804-4824, ISSN (Print) 1213-1962,

DOI: 10.2478/v10160-012-0017-3

Kralik, J., Kralik, J.



ISSN 1022-6680, DOI: 10.4028/www.scientific.net/AMR.712-715.929

Krejsa, M.


(2012) Proceedings of the 11th International Conference On Computational Structures Technology, p. 18.

Civil-Comp Press, ISBN 978-1-905088-54-6, ISSN 1759-3433, DOI: 10.4203/ccp.99.113




Trans Tech Publications, (10p), ISSN 1660-9336, ISBN 978-303785651-2, DOI:




(2012) Recent Advances In Systems Science & Mathematical Modelling: Proceedings of the 3rd International

Conference On Mathematical Models For Engineering Science (MMES '12), pp. 216-221.

WSEAS Press, (6p). ISBN 978-1-61804-141-8

Krejsa, M.


(2012) Proceedings of 18th International Conference Engineering Mechanics 2012, pp. 745-754.

Prague, (10 p). ISBN 978-80-86246-39-0

Krejsa, M.


(2012) Recent Advances In Mechanical Engineering & Automatic Control: Proceedings of the 3rd European

Conference of Mechanical Engineering (ECME' 12), pp. 104-109.

WSEAS Press, (6 p). ISBN 978-1-61804-142-5




(2013) The Scientific World Journal, 2013, p. 13.

Article ID 267593, DOI:10.1155/2013/267593

Krejsa, M.



(4 p), ISSN 1662-9795, DOI: 10.4028/www.scientific.net/KEM.577-578.101

Krejsa, M.


(2013) Proceedings of Conference ESREL 2013, pp. 2671-2679.

Nederland, London: Taylor & Francis Group, (9p), ISBN 978-1-138-00123-7



(2013) Proceedings of the 11th International Probabilistic Workshop, pp. 203-218.

Brno, (16 p), ISBN 978-80-214-4800-1





(5 p). ISSN: 16609336, ISBN: 978-303785291-0, DOI: 10.4028/www.scientific.net/AMM.137.95


Krejsa M.; VSB - Technical University Ostrava, Department of Structural Mechanics, Ludvika Podeste 1875/17,

708 33 Ostrava-Poruba, Czech Republic; email: [email protected]

Sponsors:


Conference name: 2nd International Conference on Structural and Physical Aspects of Civil Engineering, SPACE

2013

Conference date: 27 November 2013 through 29 November 2013

Conference location: High Tatras


ISSN: 10226680

ISBN: 9783038351474

DOI: 10.4028/www.scientific.net/AMR.969.302




Source: Scopus

Yuan, D.

The effects of different prediction parameters on the mining subsidence forecast result

(2014) Disaster Advances, 7 (4), pp. 41-47.

College of Geoscience and Surveying Engineering, CUMTB, Beijing, 100083, China

Abstract Mining subsidence prediction is one of the main contents in mining subsidence science. With the prediction results,

the quantitatively research can be done on the distribution law of strata and ground movement in time and space

effected by the mining which is important to guide the mining practice under the buildings, railways and waters.

This paper analyses and gets the reasons for deviation of the surface movement and deformation result by the

mining subsidence theory and probability integral method. The effects on the prediction result of different

parameters under same and different mining conditions are also analyzed using subsidence prediction and data

processing integration system to draw the corresponding isolines. The preliminary assessment of the parameters

effect is made. It is expected to have some guidance and reference for mining subsidence prediction.

Author Keywords Contour line; Mining subsidence prediction; Predicting parameters

Index Keywords deformation, forecasting method, ground movement, mining, prediction, subsidence

References

Ye, G., Zhenbai, S., Shengwei, Z.

Research on the expected mining subsidence based on probability integration method

(2011) Journal of Shandong University of Technology (Natural Science Edition), 1, pp. 34-36.

Huaien, C.

Prediction methods and development of mining subsidence

(2007) Surface mining technology, 4, pp. 43-76.

Guoqing, H.

Mining subsidence

(1991) Xuzhou, China University of Mining and Technology press,

Hubin, B.

(2009) Prediction and Visualization of Mine Subsidence: Bachelor's Degree Thesis,

China University of Mining and Technology (Beijing

Kegang, L., Kepeng, H.

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Xuzhou, China University of Mining and Technology press

Kan, W.

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Xuzhou, China University of Mining and Technology Press

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Marschalko, M.

Determination of actual limit angles to the surface and their comparison with the empirical values in the upper

silesian basin (czech republic


Ruyu, Z., Kan, W., Lailiang, C.

Model test study on the surface subsidence principles by coal seam mining with different dip angles

(2011) Metal mine, 3, pp. 11-15.


Yuan D.; College of Geoscience and Surveying Engineering, CUMTB, Beijing, 100083, China; email:

[email protected]

Publisher: Disaster Advances

ISSN: 0974262X


Abbreviated Source Title: Disaster Adv.


Source: Scopus


Software application of the DOProC method

(2014) International Journal of Mathematics and Computers in Simulation, 8 (1), pp. 121-126.

VSB - Technical University Ostrava, Department of Structural Mechanics, Ludvika Podeste 1875/17, 708 33

Ostrava - Poruba, Czech Republic

Abstract Various calculation methods based on the theory of probability and statistics are used for designing and assessing

elements and systems in load-carrying structures. Those methods have been becoming very popular recently. Using

the probabilistic method, it is possible to analyze a reliability margin defined in a computational model where at

least some input characters are random. New methods which are being developed now include the Direct

Optimized Probabilistic Method ("DOProC"). This is a purely numerical method which uses no simulation

techniques. Results of the probabilistic tasks are more accurate and, often, more fast to reach. The described

algorithm has already been implemented in several applications which were successfully used at solution of

probabilistic tasks and probabilistic reliability evaluations.

Author Keywords Anchor; Direct optimized probabilistic calculation; DOProC; FCProbCalc; HistAn; HistOp; Probabilistic

methods; Probability of failure; ProbCalc; Random variable; Reliability assessment

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Dynamic effect of moving vehicles on the road concrete slabs

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Computer fluid dynamics application for establish the wind loading on the surfaces of tall buildings

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Publisher: North Atlantic University Union NAUN

ISSN: 19980159


Abbreviated Source Title: Int. J. Math. Comput. Simul.


Source: Scopus

Cajka, R.a , Burkovic, K.b , Buchta, V.a

Foundation slab in interaction with subsoil

(2014) Advanced Materials Research, 838-841, pp. 375-380. Cited 4 times.

a VSB - TU Ostrava, L. Podéště 1875/17, 708 33 Ostrava - Poruba, Czech Republic b ARMING Ltd., Ocelarska 6/338, 703 00 Ostrava - Vítkovice, Czech Republic

Abstract In the paper the experiment results of deformation in foundation slab segment in interaction with subsoil are

presented. Pilot measurement is carried out on original subsoil with characteristics which were tested in

cooperation with geotechnics specialists. Concrete precast slab with square dimensions 500 mm and with thickness

48 mm made of plain concrete is exposed to vertical load. The tests results are compared with bending moments

and deformations analysed according to subsoil models given in Eurocodes using FEM analysis. © (2014) Trans

Tech Publications, Switzerland.

Author Keywords Deformation; FEM analysis; Foundation slab; Soil-structure interaction; Stress

Index Keywords Concretes, Environmental engineering, Finite element method, Soils, Stresses; Concrete

precast, Eurocodes, Exposed to, FEM analysis, Foundation slab, Geotechnics, Plain concrete, Vertical load;

Deformation

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Approach to the Assessment of Concrete Structures based on Non-Linear Elasto-Plastic Analysis



B.H.V. Topping, L.F. Costa Neves, R.C. Barros, (Editors), Civil-Comp Press, Stirlingshire, UK, Paper 121,

DOI: 10.4203/ccp.91.121

Sponsors:

Publisher: Trans Tech Publications

Conference name: 2013 2nd Global Conference on Civil, Structural and Environmental Engineering, GCCSEE

2013

Conference date: 28 September 2013 through 29 September 2013

Conference location: Shenzhen


ISSN: 10226680

ISBN: 9783037859261

DOI: 10.4028/www.scientific.net/AMR.838-841.375




Source: Scopus

Bednarik, M.a , Pauditš, P.b , Ondrášik, R.a

Various techniques for evaluating landslide hazard maps reliability: Bivariate vs. multivariate statistical model

[Rôzne spôsoby hodnotenia úspešnosti máp zosuvného hazardu: bivariačný verzus multivariač ný štatistický

model]


a Univerzita Komenského v Bratislave, Prírodovedecká Fakulta, Katedra Inžinierskej Geológie, Mlynská dolina G,

842 15 Bratislava, Slovakia b Štátny Geologický Ústav Dionýza Štúra, Oddelenie Inžinierskej Geológie, Mlynská dolina 1, 817 04 Bratislava,

Slovakia

Abstract Systematic studies of geological hazard and risks were generated by interest from insurance companies during the

20th century. The first studies were linked to individual building structures and later also to landuse and

environmental impact assessment. Data collected were transformed to maps of seismic zonation and landslide

hazard maps. The paper is devoted to landslide hazard map quantification and verification. The landslide hazard

assessment is based on the assumption that landslides will occur in the future under the same conditions as

occurred in the past. In the model area of the Myjava Upland (Western Slovakia) statistical methods - bivariate

statistical analysis and conditional multivariate analysis were applied to assess the landslide hazard. The necessity

to evaluate the informative value of final maps has arisen recently; practically it means to verify them. In the 80-

ties, when the first landslide susceptibility maps were created, they were verified by visual comparison of the

prognostic maps with a map of registered slope deformations. Here in, methods of statistical accuracy and ROC

(Receiver Operating Characteristic) curves are used for evaluation of both statistical models. 285,004 pixels

selected from raster of registered landslides were evaluated and an equal number of pixels randomly selected from

raster of landslide hazard map prepared using bivariate statistical analysis; in the case of conditional multivariate

analysis, there were 285,030 pixels. The results illustrate that, according to most of the methods of statistical

success used to set model performance, both prognostic maps correspond to quality configured statistical models.

This comparison shows that the difference between the accuracy of these two approaches has a value of about 5%

in favour of multivariate statistical analysis. The difference between the statistical methods represents less than two

percent using ROC curves for model verification.

Author Keywords Accuracy statistics methods; Hazard; Landslide hazard maps; Risk; ROC curves

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A Biele Karpaty,

Záverečná správa. ŠGÚDŠ Bratislava

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Pauditš, P., Bednarik, M.

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Stabilitné zhodnotenie zosuvného územia Bojničky na základe elektrickej odporovej tomografie (ERT) a

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Karpaty,

ŠGÚDŠ Bratislava

Putiška, R., Dostál, I., Mojzeš, A., Gajdoš, V., Rozimant, K., Vojtko, R.

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Geographic Information Systems to Landslide Hazard Zonation

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Landslide hazard zonation: A review of principles and practice

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Vlčko, J., Wagner, P., Rychlíková, Z.

Spôsob hodnotenia stability svahov väčší ch územných celkov


Publisher: Comenius University

ISSN: 13380044

Language of Original Document: English; Slovak



Source: Scopus

Krejsa, M.


(2014) Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and

Reliability Conference, ESREL 2013, pp. 2671-2679. Cited 4 times.

VSB, Technical University Ostrava, Czech Republic

Abstract The paper describes methods used for probabilistic assessment of reliability of steel structures and bridges that are

exposed to cyclic loads. Propagation of fatigue cracks from surface and edges is taken into account, the maximum

permitted dimension being of particular attention. The model is based on a linear fracture mechanics. Conditional

probability is the basis when designing a regular system of inspections for the structure. A new method, which is

still under development, has been used for probabilistic modeling of fatigue damage. Direct Optimized

Probabilistic Calculation-DOProC-appears to be a very efficient for the computation of probabilities. DOProC

provides the solution with only a numerical error and an error resulting from input and output quantities

discretizing. © 2014 Taylor & Francis Group, London.

Index Keywords Steel structures; Conditional probabilities, Fatigue cracks, Input and outputs, Linear fracture mechanics, Numerical

errors, Probabilistic assessments, Probabilistic modeling, Probabilistic reliability assessment; Reliability

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Sensitivity analysis of tangential digging forces of the bucket wheel excavator schrs 1320 for different terraces

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(12 p). doi: 10.3846/13923730.2012.719836, WOS: 000309445300001

Holicky, M., Markova, J., Sykora, M.

Assessment of deteriorating reinforced concrete road bridges



London: Taylor & Francis Group, (7 p). ISBN 978-0-415- 55509-8. WOS: 000281188500190


Structural reliability assessment using a direct determined probabilistic calculation: Paper 72


Engineering Computing: CC 2009, 20p.

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Using the direct determined fully probabilistic method (DDFPM) for determination of failure





Statistical dependence of input variables in DOPROC method

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Simulation based reliability assessment method using parallel computing

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Engineering, Civil Comp Proceedings, (90), pp. 542-549.

(8 p), ISSN: 1759-3433. WOS: 000271452700038

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A RSM method for probabilistic nonlinear analysis of reinforced concrete bubbler tower structure integrity



London: Taylor & Francis Group, (4 p.). ISBN 978-0-415-55509-8. WOS: 000281188500188


Determination of inspections of structures subject to fatigue


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10.2478/v10160-011-0007-x

Krejsa, M.

The probabilistic calculating of fatigue crack propagation using fcprobcalc program

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Krejsa, M.

Probabilistic calculation of fatigue crack progression using FCprobcalc code


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Fire loads for realistic risk assessment applications in petrochemical industry




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Conditionbased maintenance of engineering systems with periodic inspection




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Krejsa M.; VSB, Technical University OstravaCzech Republic

Sponsors:

Publisher: Taylor and Francis - Balkema

Conference name: European Safety and Reliability Conference, ESREL 2013

Conference date: 29 September 2013 through 2 October 2013

Conference location: Amsterdam


ISBN: 9781138001237


Abbreviated Source Title: Saf., Reliab. Risk Anal.: Beyond Horiz. - Proc. Eur. Saf. Reliab. Conf., ESREL


Source: Scopus

Lamb, R.L.a , Vallett, D.B.b , Akmal, T.a , Baldwin, K.a

A computational modeling of student cognitive processes in science education

(2014) Computers and Education, 79, pp. 116-125.

a Washington State University, United States b University of Nevada Las Vegas, United States

Abstract The purpose of this paper is to explain and document the creation of a computational model in the form of an

Artificial Neural Network (ANN) capable of simulating student cognition. Specifically, the model simulates

students' cognition as they complete activities within a science classroom. This study also seeks to examine the

effects, as evidenced in the ANN, of an intervention designed to develop increased levels of critical thinking

related to science skills. This model is based on the identification of cognitive attributes and integration of two

advanced measurement frameworks: cognitive diagnostics and Item Response Theory. Both frameworks examine

student response patterns, providing initial inputs for the ANN portion of the model. Once initial task response

patterns are identified, they are parameterized and presented to the ANN. The ANN within this study is the

foundational component of a computational model based upon the interaction of multiple, connected, adaptive

processing elements know as cognitive attributes. These cognitive attributes process student responses to cognitive

tasks within science tasks. Using the Student Task and Cognition Model (STAC-M), the study authors simulated a

cognitive training intervention using a randomized control trial design of 100,000 students. Results of the

simulation suggest that it is possible to increase levels of student success using a targeted cognitive attribute

approach and that computational modeling provides a means to test educational theory for future education

research. The paper also discusses limitations of the use of this computational model within education and the

possible future directions for educators and researchers. © 2014 Elsevier Ltd. All rights reserved.

Author Keywords Cognitive processing; Computational modeling; Critical reasoning; Science education; Serious educational

games

Index Keywords Computational methods, Computer simulation, Education computing, Learning systems, Neural networks;

Cognitive processing, Computational model, Critical reasoning, Educational game, Science education; Students

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Lamb R.L.; Washington State UniversityUnited States; email: [email protected]

Publisher: Elsevier Ltd

ISSN: 03601315

CODEN: COMED

DOI: 10.1016/j.compedu.2014.07.014


Abbreviated Source Title: Comput Educ


Source: Scopus

Anbazhagan, S., Ramesh, V.

Landslide hazard zonation mapping in ghat road section of Kolli hills, India

(2014) Journal of Mountain Science, 11 (5), pp. 1308-1325.

Centre for Geoinformatics and Planetary Studies, Department of Geology, Periyar UniversitySalem, Tamil Nadu,

India

Abstract Landslides are the most common natural disaster in hilly terrain which causes changes in landscape and damage to

life and property. The main objective of the present study was to carry out landslide hazard zonation mapping on

1:50,000 scale along ghat road section of Kolli hills using a Landslide Hazard Evaluation Factor (LHEF) rating

scheme. The landslide hazard zonation map has been prepared by overlaying the terrain evaluation maps with facet

map of the study area. The terrain evaluation maps include lithology, structure, slope morphometry, relative relief,

land use and land cover and hydrogeological condition. The LHEF rating scheme and the Total Estimated Hazard

(TEHD) were calculated as per the Bureau of Indian Standard (BIS) guidelines (IS: 14496 (Part-2) 1998) for the

purpose of preparation of Landslide Hazard Zonation (LHZ) map in mountainous terrains. The correction due to

triggering factors such as seismicity, rainfall and anthropogenic activities were also incorporated with Total

Estimated Hazard to get final corrected TEHD. The landslide hazard zonation map was classified as the high,

moderate and low hazard zones along the ghat road section based on corrected TEHD.

Author Keywords Bureau of Indian Standard (BIS); Kolli Hills; Landslide hazard zonation (LHZ); LHEF rating

scheme; Mountainous terrain; TEHD

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Anbazhagan S.; Centre for Geoinformatics and Planetary Studies, Department of Geology, Periyar UniversityIndia

Publisher: Science Press

ISSN: 16726316

DOI: 10.1007/s11629-012-2618-9


Abbreviated Source Title: J. Mt. Sci.


Source: Scopus

Pradhan, B., Abokharima, M.H., Jebur, M.N., Tehrany, M.S.

Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in

GIS

(2014) Natural Hazards, 73 (2), pp. 1019-1042. Cited 1 time.

Department of Civil Engineering, Geospatial Information Science Research Center (GISRC), University Putra

Malaysia, 43400 UPM, Serdang, Selangor, Malaysia

Abstract Land subsidence is one of the frequent geological hazards worldwide. Urban areas and agricultural industries are

the entities most affected by the consequences of land subsidence. The main objective of this study was to estimate

the land subsidence (sinkhole) hazards at the Kinta Valley of Perak, Malaysia, using geographic information

system and remote sensing techniques. To start, land subsidence locations were observed by surveying

measurements using GPS and using the tabular data, which were produced as coordinates of each sinkhole

incident. Various land subsidence conditioning factors were used such as altitude, slope, aspect, lithology, distance

from the fault, distance from the river, normalized difference vegetation index, soil type, stream power index,

topographic wetness index, and land use/cover. In this article, a data-driven technique of an evidential belief

function (EBF), which is in the category of multivariate statistical analysis, was used to map the land subsidence-

prone areas. The frequency ratio (FR) was performed as an efficient bivariate statistical analysis method in order

compare it with the acquired results from the EBF analysis. The probability maps were acquired and the results of

the analysis validated by the area under the (ROC) curve using the testing land subsidence locations. The results

indicated that the FR model could produce a 71.16 % prediction rate, while the EBF showed better prediction

accuracy with a rate of 73.63 %. Furthermore, the success rate was measured and accuracies of 75.30 and 79.45 %

achieved for FR and EBF, respectively. These results can produce an understanding of the nature of land

subsidence as well as promulgate public awareness of such geo-hazards to decrease human and economic losses. ©

2014 Springer Science+Business Media Dordrecht.

Author Keywords Evidential belief function; Frequency ratio model; GIS; Kinta Valley, Malaysia; Land subsidence; Remote

sensing

Index Keywords accuracy assessment, efficiency measurement, frequency analysis, GIS, GPS, hazard assessment, mapping

method, remote sensing, sinkhole, subsidence; Kinta, Malaysia, Perak, West Malaysia

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Pradhan B.; Department of Civil Engineering, Geospatial Information Science Research Center (GISRC),

University Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia; email: [email protected]

Publisher: Kluwer Academic Publishers

ISSN: 0921030X

DOI: 10.1007/s11069-014-1128-1




Source: Scopus

Pourghasemi, H.R.a , Moradi, H.R.a , Fatemi Aghda, S.M.b , Gokceoglu, C.c , Pradhan, B.d

GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation

models (North of Tehran, Iran)

(2014) Arabian Journal of Geosciences, 7 (5), pp. 1857-1878. Cited 3 times.

a Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat

Modares University (TMU), Noor, Mazandaran, Iran b Department of Engineering Geology, Tarbiat Moallem University, Tehran, Iran c Applied Geology Division, Department of Geological Engineering, Hacettepe University, Ankara, Turkey d Department of Civil Engineering, University Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia

Abstract The aim of this study is to produce landslide susceptibility mapping by probabilistic likelihood ratio (PLR) and

spatial multi-criteria evaluation (SMCE) models based on geographic information system (GIS) in the north of

Tehran metropolitan, Iran. The landslide locations in the study area were identified by interpretation of aerial

photographs, satellite images, and field surveys. In order to generate the necessary factors for the SMCE approach,

remote sensing and GIS integrated techniques were applied in the study area. Conditioning factors such as slope

degree, slope aspect, altitude, plan curvature, profile curvature, surface area ratio, topographic position index,

topographic wetness index, stream power index, slope length, lithology, land use, normalized difference vegetation

index, distance from faults, distance from rivers, distance from roads, and drainage density are used for landslide

susceptibility mapping. Of 528 landslide locations, 70 % were used in landslide susceptibility mapping, and the

remaining 30 % were used for validation of the maps. Using the above conditioning factors, landslide susceptibility

was calculated using SMCE and PLR models, and the results were plotted in ILWIS-GIS. Finally, the two

landslide susceptibility maps were validated using receiver operating characteristic curves and seed cell area index

methods. The validation results showed that area under the curve for SMCE and PLR models is 76.16 and 80.98 %,

respectively. The results obtained in this study also showed that the probabilistic likelihood ratio model performed

slightly better than the spatial multi-criteria evaluation. These landslide susceptibility maps can be used for

preliminary land use planning and hazard mitigation purpose. © 2013 Saudi Society for Geosciences.

Author Keywords Frequency ratio; GIS; Landslide susceptibility; Spatial multi-criteria evaluation; Tehran metropolitan

Index Keywords aerial photography, GIS, landslide, lithology, mapping method, metropolitan area, numerical model, satellite

imagery, slope dynamics; Iran, Tehran [Iran]

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Moradi H. R.; Department of Watershed Management Engineering, College of Natural Resources and Marine

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Publisher: Springer Verlag

ISSN: 18667511

DOI: 10.1007/s12517-012-0825-x


Abbreviated Source Title: Arab. J. Geosci.


Source: Scopus

Drusa, M., Cheben, V., Proovnikova, P.

Functionality of TDR piezometers and inclinometers for monitoring of slope deformations




Abstract Slope deformations endangered many roads and railway lines, and houses. Since last 20 years frequency of heavy

rainfall, floods and caused slope deformation rose significantly. Therefore, our team implemented TDR (Time

Domain Reflectometry) technology not only for inclinometric measurement but also as efficient automatic

piezometers. TDR technology thanks to its material, mechanical and electrical properties were chosen for

application in water level measurement as the most acting negative factor of slope stability. Today new results and

experiences, Drusa, Chebeň, (2012) also implemented in certain European conditions of landslides - Corsini et al.

(2008), Singer et al., (2010) must be calibrated through the time. © SGEM2013 All Rights Reserved by the

International Multidisciplinary Scientific GeoConference SGEM.

Index Keywords Heavy rainfall, Mechanical and electrical properties, New results, Railway line, Slope deformation, Tdr (time

domain reflectometry); Electric properties, Exhibitions, Slope protection, Water levels; Deformation

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University of ZilinaSlovakia



Conference location: Albena


ISSN: 13142704

ISBN: 9789549181876

DOI: 10.5593/SGEM2013/BA1.V2/S02.021



SGEM


Source: Scopus

Lahuta, H., Korinek, R., Hrubesova, E., Duris, L.

Stability analysis of the large scale dump in the Czech Republic


Management, SGEM, 2, pp. 371-378. Cited 1 time.

Technical University of Mining and Metallurgy, Technical University of Ostrava, Czech Republic

Abstract This paper deals with current issues of behavior of the internal large scale dump Bílina in the North Bohemia in the

Czech Republic. This dump belongs to the largest and highest mine dumps in the world (the planned final height is

about 220 m). There are not much experience with the behavior of this size dump body in Europe and in the world

also - among this large dump includes for example the dump Hambach in Germany and several dumps in Poland

and China. The topicality of the issue is given by the necessity to ensure the stability and security of the status quo,

as well as forecasting the development of behavior in the future and setting data for risk analysis. Complexity of

dump bodies behavior resulted from the specificity of different materials dumps, overall inhomogeneity in the

horizontal and vertical direction, complex hydrogeology, manifestations of so-called dual porosity and usually a

large mass of dump. Reliable verification of the material behavior respecting their distinctive rheological

dependence determines the reliability and explanatory power of numerical models. Paper presents the

characteristics of internal dump Bílina, characteristics of the materials forming the body dumps, the results of

numerical modeling of internal stability of the dump Bílina and analysis of the results. © SGEM2013 All Rights

Reserved by the International Multidisciplinary Scientific GeoConference SGEM.

Author Keywords High dump; Numerical modeling; Stability analysis

Index Keywords Czech Republic, Explanatory power, High dumps, Inhomogeneities, Internal stability, Material behavior, Stability

analysis, Vertical direction; Exhibitions, Groundwater, Hydrogeology; Numerical models

References

Lahuta, H., Kořínek, R., Hrubešová, E., Ďuriš, L.

Stability analysis of the new proposal the slopes LibousII-north by finite element method

(2012) Proceedings of the Hydrogeology, Engineering Geology and Geotechnics Sessions Presented By the 12th

International Scientific Conference - SGEM, 17-23, pp. 253-260.

Sofia, Jun, ISSN 1314-2704. DOI: 10.5593/sgem2012

Hrubešová, E., Lahuta, H.

Features and options selected software products for modeling of slope movements

(2004) Geotechnika, 1, pp. 37-39.

1211-913X

Marschalko, M., Hofrichterová, L., Lahuta, H.

Utilization of geophysical method of multielectrode resistivity measurements on a slope deformatin in the

mining district

(2008) SGEM 2008. Proceedings of the Applied and Enviromental Geophysics Sessions Presented By the 8th


Sofia, Jun, ISBN 978-954-91818-1-4

Lahuta, H., Cihlářová, D.

Experience with mathematical modeling in program plaxis: Design and assessment of retaining walls

(2012) Proceedings of the Hydrogeology, Engineering Geology and Geotechnics Sessions Presented By the 12th


Sofia, Jun, ISSN 1314-2704. DOI: 10.5593/sgem2012

Libus, J., Horák, L.

(2005) Souhrn Geotechnických Informací O Problematice Stability Svahů Lomu a Výsypek Pro Zpracování

POPD,

GEOTEC - GS Praha


Technical University of Mining and Metallurgy, Technical University of OstravaCzech Republic





ISSN: 13142704

ISBN: 9789549181876

DOI: 10.5593/SGEM2013/BA1.V2/S02.049



SGEM


Source: Scopus

Bouchal, T.a , Dlabaja, M.b , Zavada, J.a , Nadkanska, H.a , Bouchalova, M.a

The use of waste materials for reclamation produciton and soil backfill



a VSB-Technical University of Ostrava, Czech Republic b Ecocoal, s.r.o. Ostrava, Czech Republic

Abstract The industrial production produces large amounts of secondary raw materials which are unusable for primary

production and it is necessary to find ways to use them. This article focuses on the design and secondary raw

materials usage from wastewater which occurs while arising from pulp using by-products and excavation of soils.

Here is also described semi-mobile unit provides by ourselves which enables the production of certified

reclamation mixtures. © SGEM2013 All Rights Reserved by the International Multidisciplinary Scientific

GeoConference SGEM.

Author Keywords Backfilling; Pulp; Reclamation; Secondary raw materials

Index Keywords Backfilling, Industrial production, Large amounts, Primary production, Secondary Raw Materials, Soil backfill;

Exhibitions, Land reclamation, Pulp; Reclamation; Exhibitions, Pulps, Raw Materials, Reclamation

References

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Vysoká škola báňská - Technická univerzita Ostrava ISBN 978-80-248-1700-2

Jelínková, H., Jakešová, H.

(1985) Fyzikální Vlastnosti Zemědělských Material,

Příloha k závěrečné zprávě úkolu VI - 4 - 20.4, VÚZT Praha

Zbíral, J.

Analýza půd I jednotné pracovní postupy. - Vyd. 2., Brno: Ústřední kontrolní a zkušební ústav zemědělský

(2002) Laboratorní Odbor, p. 197.

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Václavík, V., Dirner, V., Dvorsky, T.

(2012) The Use of Blast Furnage Slag, METALURGIJA, 51 (4), pp. 461-464.

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O Podmínkách Ukládání Odpadů Na Skládky a Jejich Využívání Na Povrchu Terénu a Změně Vyhlášky Č.

383/2001 Sb,

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Rostlinných Přípravcích a Substrátech a O Agrochemickém Zkoušení Zemědělských Půd (zákon O Hnojivech),

Zákon 317/2004 Sb, zákon č. 185/2001 Sb., o odpadech a o změně některých dals

Koplík, R., Čurdová, E., Mestek, O.

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DECISION No 1600/2002/Ec of the European Parliament and of the Council of 22 July



(2012) Bulletin of Engineering Geology and The Environment, 71 (1), pp. 105-111.

Marschalko, M., Yilmaz, I., Kubecka, K.

The Importance of the Engineering - Geological Conditions Indentified in Land use Plans in the Spa Darkov

Region (Czech republic)

(2011) 11th International Multidisciplinary Scientific GeoConference SGEM 2012, 1, pp. 637-644.

Kubeckova, D., Kubecka, K., Penaz, T.

The Relation of the Surface Geological Strukture and Floodplains as Important Criterion for Foundation

Engineering


Kubecka, K., Kubeckova, D., Penaz, T.

The Role of Engineering - Geological Zones in Foundation Engineering



VSB-Technical University of OstravaCzech Republic

ISSN: 13142704

ISBN: 9786197105049



SGEM


Source: Scopus

Tornyai, R., Dunčko, M.

Using Bivariate and multivariate analysis to assess landslide hazard in Kysuce region (Western Carpathians)

[Použitie bivariačnej a multivariačnej analýzy na hodnotenie zosuvného hazardu Kysuckého regiónu (Západné

Karpaty)]


Katedra Inžinierskej Geológie, Prírodovedecká Fakulta, Univerzita Komenského V Bratislave, Mlynská Dolina G,

842 15 Bratislava, Slovakia

Abstract The study was realized in the Western Carpathians, in northern part of Slovakia, in Kysuce region. The main

objective is to assess landslide hazard in the region, using a quantitative evaluation. For assessment two most used

statistical analyzes had been applied: bivariate using the weights of input parameters and multivariate conditional

analysis. In paper nine input parameters are evaluated which are presented within statistical processing in the form

of parametric maps. Statistical evaluation was executed in environment of GRASS GIS. The output of this study

are two prognostic landslide hazard maps constructed using the methods mentioned above. The results showed that

the majority of the assessed area falls within the medium to very high degree of landslide hazard. © Univerzita

Komenského v Bratislave (2009-2014).

Author Keywords Bivariate analysis; Grass gis; Kysuce region; Landslide hazard assessment; Multivariate conditional

analysis; Západné karpaty

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Using gis grass in evaluation of landslide susceptibility in termina valley in the northern appennines (italy)

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Landslide susceptibility assessment of the kralovany-liptovsky mikulaš railway case study


Elsevier Ltd. ISSN

Bednarik, M., Paudiť, P.


assessment: Horna suča (western slovakia) case study


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Trento, Italy

Paudiť, P.

(2005) Hodnotenie Nachylnosti Uzemia Na Zosuvanie S Využitim šTatistickych Metod V Prostredi GIS,

Bratislava: PRIF UK, Kandidatska dizertačna praca

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A comparison of the gis based landslide susceptibility assessment methods: Multivariate versus bivariate


Vlčko, J., Wagner, P., Rychlikova, Z.

Sposob hodnotenia stability svahov vačšich uzemnych celkov



Tornyai R.; Katedra Inžinierskej Geológie, Prírodovedecká Fakulta, Univerzita Komenského V Bratislave,

Mlynská Dolina G, 842 15 Bratislava, Slovakia; email: [email protected]

ISSN: 13380044

Language of Original Document: Slovak



Source: Scopus

Capitani, M., Ribolini, A., Bini, M.

The slope aspect: A predisposing factor for landsliding?

(2013) Comptes Rendus - Geoscience, 345 (11-12), pp. 427-438.

Department of Earth Sciences, University of Pisa, 53, Via S. Maria, 56126 Pisa, Italy

Abstract The influence of slope aspect on the distribution of landslides was studied in the Milia and Roglio basins in

Tuscany, Italy. For each basin, the new Tuscany region landslide inventory that was initiated in 2010 was used.

The landslides were split into separate datasets based on their prevailing movement typology. To assess the results

that were obtained from the different slope aspect values, maps of the lithology, slope angle, distances to streams,

and distances to tectonic lineaments were included in the bivariate statistical analysis as comparison terms. For

each basin, all of the geo-environmental factor maps were compared with the different landslide typologies with

GIS software. Pearson's Chi2 (χ2) coefficient was used to test the degree of spatial association between each

predictor variable and landslide type. In addition, Cramer's V test was used to quantify the strength of the degree of

association. Next, a conditional analysis was applied to all of the possible combinations that occurred between the

slope aspect and other landslide-predisposing factors. Overall, the slope aspect significantly affected the

distribution of superficial landslide types, but apparently not that of other landslide types. © 2013 Académie des

sciences.

Author Keywords Bivariate and multifactor statistical analysis; Central Italy; Landslide susceptibility; Slope aspect

Index Keywords environmental factor, GIS, landslide, multivariate analysis, slope angle, software, typology; Italy, Tuscany

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Capitani M.; Department of Earth Sciences, University of Pisa, 53, Via S. Maria, 56126 Pisa, Italy; email:

[email protected]

ISSN: 16310713

CODEN: CRGOA

DOI: 10.1016/j.crte.2013.11.002


Abbreviated Source Title: C. R. Geosci.


Source: Scopus

Xu, C.a , Xu, X.a , Yao, Q.b , Wang, Y.c

GIS-based bivariate statistical modelling for earthquake-triggered landslides susceptibility mapping related to the

2008 Wenchuan earthquake, China

(2013) Quarterly Journal of Engineering Geology and Hydrogeology, 46 (2), pp. 221-236. Cited 14 times.

a Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration,

Qijiahuozi, Deshengmenwai, P.O. Box 9803, Beijing 100029, China b China Earthquake Networks Center, Beijing 100045, China c School of Urban and Environmental Sciences, Northeast Normal University, Changchun, Jilin 130024, China

Abstract The main purpose of this research is to evaluate the modelling capability and predictive power of a bivariate

statistical method for earthquake-triggered landslide susceptibility mapping. A weight index (Wi) model was

developed for the 2008 Wenchuan earthquake region in Sichuan Province, China, using a wide range of optical

remote sensing data, and carried out on the basis of a geographic information system (GIS) platform. The 2008

Wenchuan earthquake triggered 196007 landslides, with a total area of 1150.43 km2, in an approximately oblong

area around the Yingxiu-Beichuan coseismic surface fault-rupture (the Yingxiu-Beichuan fault). The landslides of

the study area were mapped using visual interpretation of high-resolution satellite images and aerial photographs,

both pre- and post-earth-quake, and checked in the field at various locations. As a consequence, a nearly complete

inventory of landslides triggered by the Wenchuan earthquake was constructed. Topographic and geological data

and earthquake-related information were collected, processed and constructed into a spatial database using GIS and

image processing technologies. A total of 10 controlling parameters associated with the earthquake-triggered

landslides were selected, including elevation, slope angle, slope aspect, slope curvature, slope position, lithology,

seismic intensity, peak ground acceleration (PGA), distance from the Yingxiu-Beichuan fault, and distance along

this fault. To assist with the development of the model, the complete dataset of 196007 landslides was randomly

partitioned into two subsets; a training data-set, which contains 70% of the data (137204 landslides, with a total

area of 809.96 km2), and a testing dataset accounting for 30% of the data (58803 landslides, with a total area of

340.47 km2). A landslide susceptibility index map was generated using the training dataset, the 10 impact factors,

and the Wi model. In addition, for a conditionally dependent factor analysis, seven other factor-combination cases

were also used to construct landslide susceptibility index maps. Finally, these eight landslide suscep-tibility maps

were compared with the training data and testing data to obtain model capability (success rate) and predictive

power (predictive rate) information. The validation results show that the success and predictive rates of the Wi

modelling exceeded 90% for the approaches that include the use of seismic factors. The final landslide

susceptibility map can be used to identify and delineate unstable suscepti-bility-prone areas, and help planners to

choose favourable locations for development schemes, such as infrastructure, construction and environmental

protection schemes. The generic component of this research would allow application in other regions affected by

high-intensity earthquakes and unstable terrain covering very large areas. © 2013 The Geological Society of

London.

Index Keywords 2008 wenchuan earthquakes, Earthquake-triggered landslides, High resolution satellite images, Image processing

technology, Landslide susceptibility, Optical remote sensing data, Peak ground acceleration, Susceptibility

mapping; Faulting, Geographic information systems, Image processing, Landslides, Lithology, Maps, Optical data

processing, Statistical tests; Earthquakes; aerial photography, GIS, hazard

assessment, landslide, mapping, numerical model, remote sensing, satellite imagery, Sichuan earthquake

2008, statistical analysis; China, Sichuan

Funding Details

41202235, NSF, National Science Foundation

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logistic regression, arti-ficial neural networks, and support vector machine



Xu C.; Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration,

Qijiahuozi, Deshengmenwai, P.O. Box 9803, Beijing 100029, China; email: [email protected]

ISSN: 14709236

CODEN: QJEGB

DOI: 10.1144/qjegh2012-006


Abbreviated Source Title: Q. J. Eng. Geol. Hydrogeol.


Source: Scopus

He, K.a , Jia, Y.a , Wang, B.b , Wang, R.c , Luo, H.a b

Comprehensive fuzzy evaluation model and evaluation of the karst collapse susceptibility in Zaozhuang Region,

China

(2013) Natural Hazards, 68 (2), pp. 613-629. Cited 2 times.

a Department of Civil Engineering, Qingdao Technological University, No. 11 Fushun Road, Qingdao, 266033

Shandong, China b Shijiazhuang University of Economics, No. 136 Huaian East Road, Shijiazhuang, 050031 Hubei, China c Shandong Building Materials Geological Exploration Center of SINOMA, Jinan, 250000, China

Abstract Karst collapses in Zaozhuang area are the typical karst collapses induced by groundwater over-pumping in north

China, which lead to severe economic loss and negative societal influence. Based on the comprehensive analysis of

all natural influencing factors and human influencing factors associated with karst collapse in the Zaozhuang Shili

Spring Area, China, this paper establishes karst collapse susceptibility evaluation model by means of fuzzy

mathematic method, in which the Quantitative theory method was firstly applied in determination of the factor

weights. The karst collapse susceptibility evaluation model with 14 evaluation indicators can be effectively used

for quantitative evaluation on the karst collapse susceptibility. So, an analysis and evaluation on the karst collapse

susceptibility of Zaozhuang Shili Spring Area is completed by means of karst collapse susceptibility evaluation

model. The karst collapse area of Zaozhuang region is divided into very high susceptibility area, high susceptibility

area, medium susceptibility area and low susceptibility area, which account for about 6.3, 5.2, 10.4 and 78.1 % of

the total karst area and the karst collapse susceptibility evaluation map of Zaozhuang Shili Spring Area is

completed. The results above will be helpful for the strategic planning and decision-making processes associated

with exploitation of karst water resources and with prevention and control of karst collapse hazards of this region.

© 2013 Springer Science+Business Media Dordrecht.

Author Keywords China; Evaluation model; Groundwater over-pumping; Karst collapse susceptibility

Index Keywords collapse structure, fuzzy mathematics, groundwater Abstraction, hazard assessment, hazard

management, karst, mathematical analysis, model test, numerical model, planning method, pumping, strategic

approach; China, Shandong, Zaozhuang

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He K.; Department of Civil Engineering, Qingdao Technological University, No. 11 Fushun Road, Qingdao,

266033 Shandong, China; email: [email protected]

ISSN: 0921030X

DOI: 10.1007/s11069-013-0653-7




Source: Scopus

Tavares, I.a , Borges, J.b , Mendes, M.J.G.C.c , Botto, M.A.a

Assessment of data-driven modeling strategies for water delivery canals

(2013) Neural Computing and Applications, 23 (3-4), pp. 625-633.

a IDMEC/Instituto Superior Técnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001 Lisboa, Portugal b Academia Militar, Portuguese Military Academy, Rua Gomes Freire, 1169-203 Lisboa, Portugal c Instituto Superior de Engenharia de Lisboa, Polytechnic Institute of Lisbon, Rua Conselheiro Emídio Navarro 1,

1959-007 Lisboa, Portugal

Abstract The aim of this paper is to develop models for experimental open-channel water delivery systems and assess the

use of three data-driven modeling tools toward that end. Water delivery canals are nonlinear dynamical systems

and thus should be modeled to meet given operational requirements while capturing all relevant dynamics,

including transport delays. Typically, the derivation of first principle models for open-channel systems is based on

the use of Saint-Venant equations for shallow water, which is a time-consuming task and demands for specific

expertise. The present paper proposes and assesses the use of three data-driven modeling tools: artificial neural

networks, composite local linear models and fuzzy systems. The canal from Hydraulics and Canal Control Nucleus

(Évora University, Portugal) will be used as a benchmark: The models are identified using data collected from the

experimental facility, and then their performances are assessed based on suitable validation criterion. The

performance of all models is compared among each other and against the experimental data to show the

effectiveness of such tools to capture all significant dynamics within the canal system and, therefore, provide

accurate nonlinear models that can be used for simulation or control. The models are available upon request to the

authors. © 2013 Springer-Verlag London.

Author Keywords Artificial neural networks; Composite local linear models; Fuzzy systems; Nonlinear modeling; Open-channel

water delivery systems

Index Keywords Experimental facilities, First principle models, Local linear models, Non-linear model, Operational

requirements, Saint Venant equation, Time-consuming tasks, Water delivery systems; Computer simulation, Fuzzy

systems, Hydraulic structures, Neural networks, Nonlinear dynamical systems, Tools, Water supply; Canals

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Borges J.; Academia Militar, Portuguese Military Academy, Rua Gomes Freire, 1169-203 Lisboa, Portugal; email:

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ISSN: 09410643

DOI: 10.1007/s00521-013-1417-8


Abbreviated Source Title: Neural Comput. Appl.


Source: Scopus

Xu, C.a b , Xu, X.a , Dai, F.b , Wu, Z.c , He, H.a , Shi, F.a , Wu, X.a , Xu, S.d

Application of an incomplete landslide inventory, logistic regression model and its validation for landslide

susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China


a Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, P.O.

Box 9803, Beijing, 100029, China b Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China c Langfang Branch of PetroChina, Research Institute of Petroleum Exploration and Development, Langfang,

065007, China d China Institute of Geo-Environmental Monitoring, Beijing, 100081, China

Abstract The main purpose of this paper is to present the use of multi-resource remote sensing data, an incomplete landslide

inventory, GIS technique and logistic regression model for landslide susceptibility mapping related to the May 12,

2008 Wenchuan earthquake of China. Landslide location polygons were delineated from visual interpretation of

aerial photographs, satellite images in high resolutions, and verified by selecting field investigations. Eight factors,

including slope angle, slope aspect, elevation, distance from drainages, distance from roads, distance from main

faults, seismic intensity and lithology were selected as controlling factors for earthquake-triggered landslide

susceptibility mapping. Qualitative susceptibility analyses were carried out using the map overlaying techniques in

GIS platform. The validation result showed a success rate of 82.751 % between the susceptibility probability index

map and the location of the initial landslide inventory. The predictive rate of 86.930 % was obtained by comparing

the additional landslide polygons and the landslide susceptibility probability index map. Both the success rate and

the predictive rate show sufficient agreement between the landslide susceptibility map and the existing landslide

data, and good predictive power for spatial prediction of the earthquake-triggered landslides. © 2013 Springer

Science+Business Media Dordrecht.

Author Keywords Landslide susceptibility mapping; Landslides; Logistic regression; Predictive rate; Success rate; The 2008

Wenchuan earthquake

Index Keywords aerial photograph, earthquake intensity, fault zone, GIS, hazard

assessment, inventory, landslide, lithology, logistics, mapping, model test, model validation, regression

analysis, remote sensing, satellite imagery, Sichuan earthquake 2008, trigger mechanism; China

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Xu, C., Xu, X.W., Dai, F.C., Xiao, J.Z., Tan, X.B., Yuan, R.M.

Landslide hazard mapping using GIS and weight of evidence model in Qingshui river watershed of 2008


(2012) J Earth Sci, 23 (1), pp. 97-120.

doi:10.1007/s12583-012-0236-7

Xu, C., Xu, X.W., Dai, F.C., Saraf, A.K.

Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the


(2012) Comput Geosci, 46, pp. 317-329.

doi:10.1016/j.cageo.2012.01.002

Xu, C., Dai, F.C., Xu, X.W., Lee, Y.H.




doi:10.1016/j.geomorph.2011.12.040


Earthquake triggered landslide hazard mapping and validation related with the 2010 Port-au-Prince Haiti

earthquake

(2012) Disaster Adv, 5 (4), pp. 1297-1304.

Xu, C., Xu, X.W., Lee, Y.H., Tan, X.B., Yu, G.H., Dai, F.C.



doi:10.1007/s12665-012-1624-0


Landslides triggered by slipping-fault-generated earthquake on a plateau: An example of the 14 April 2010, Ms

7. 1, Yushu, China earthquake

(2013) Landslides,

doi: 10. 1007/s10346-012-0340-x

Xu, C., Xu, X.W., Yao, Q., Wang, Y.Y.

GIS-based bivariate statistical modeling for earthquake-triggered landslides susceptibility mapping related to the

2008 Wenchuan earthquake, China

(2013) Q J Eng Geol Hydrogeol,

doi:10.1144/qjegh2012-006



(NE-Turkey)

(2007) Nat Hazards, 41 (1), pp. 201-226.

doi:10.1007/s11069-006-9030-0


Landslide susceptibility mapping based on Support Vector Machine: a case study on natural slopes of Hong

Kong, China


doi:10.1016/j.geomorph.2008.02.011

Yilmaz, I.



(2009) Comput Geosci, 35 (6), pp. 1125-1138.

doi:10.1016/j.cageo.2008.08.007

Yilmaz, I.



doi:10.1007/s10064-009-0185-2

Yilmaz, I.




doi:10.1007/s12665-009-0394-9




doi:10.1007/s10064-009-0188-z


Xu C.; Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration,

P.O. Box 9803, Beijing, 100029, China; email: [email protected]

ISSN: 0921030X

DOI: 10.1007/s11069-013-0661-7




Source: Scopus

Hudecek, V.a , Zapletal, P.a , Stoniš, M.b , Sojka, R.b

Results from dealing with rock and gas outburst prevention in the czech republic

(2013) Archives of Mining Sciences, 58 (3), pp. 779-787. Cited 1 time.

a VŠB - Technical University of Ostrava, 17. Listopadu 15, 708 33, Czech Republic b Green Gas Dpb, Rudé Armády 637, 739 21 Paskov, Czech Republic

Abstract In the Czech Republic, the prevention of rock and gas outbursts is carried out in the course of driving mine

workings in seams and in sandstone and conglomerate beds classified into a category with the highest degree of

rock and gas outburst hazard. It is a case of active methods that aim at prevention of rock and gas outbursts by

creating a protection zone in front of and in sides of mine workings being driven and passive methods that mitigate

the effects of outbursts (Hudecek et al., 2009, 2010). In this article, authors present recommendations and proposals

for changes in rock and gas outburst prevention. These proposed changes should reflect in increased efficiency in

coping with this anomalous geomechanical events.

Author Keywords Boreholes; Coal; Gas mixture; Gas pressure; Outburst prevention

References

Hudeček, V.

Protection of Employees against the Effects of Rock and Gas Outbursts

(2009) Final report on Project VaV ČBÚ č., 57.

07 Ostrava 129

Hudeček, V., Urban, P., Stavinoha, J.

Problems of higher gas emission and coal and gas outbursts in the czech republic and other countries of the

world

(2010) Journal of Mines, Metals and Fuels, Haryana India, 236, pp. 212-216.

Hudeček, V., Pintzker, V.

Solving the problems of outbursts of coal and gases in the paskov mine, partial enterprise, staric plant

(2003) Mine Planning and Mining Activity of the 21st Century, 2003, pp. 121-130.

Ostrava

Hudeček, V., Stoniš, M.

Forecast and prevention of coal and gas outbursts in the case of application of a new mining method - drilling of

a coal pillar


Hudeček, V.

Analysis of safety precautions for coal and gas outburst - hazardous strata

(2008) Journal of Mining Science, 44 (5), pp. 42-50.

Chlebowski, D.

Analytical method for determination of displacement and stress in fault zone for evaluation of rock and gas

outburst hazard

(2009) Arch. Min. Sci., 54 (3), pp. 543-562.


Measurements by the method of precise inclinometry on locality affected by mining activity

(2008) Arch. Min. Sci., 53 (3), pp. 397-414.

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Prognosis of residual coal gas capacity made by the "express" method

(2011) International Journal of Minerals, Metallurgy and Materials, 18 (2), p. 127.

Skoczylas, N.

Coal seam methane pressure as a parameter determining the level of the outburst risk - Laboratory and in situ

research

(2012) Arch. Min. Sci., 57 (4), pp. 861-869.

Wierzbicki, M.

The relationship between rock fracturing and methane inflow into the drainage holes on the basis of coal mine

measurements

(2013) Arch. Min. Sci., 58 (1), pp. 21-36.


VŠB - Technical University of Ostrava, 17. Listopadu 15, 708 33, Czech Republic

ISSN: 08607001

DOI: 10.2478/amsc-2013-0054


Abbreviated Source Title: Arch. Min. Sci.


Source: Scopus

Nekouei, M., Ahangari, K.

Modified stability charts for rock slopes based on the hoek-brown failure criterion


Department Of Mining Engineering, Science And Research Branch, Islamic Azad University, Tehran, Iran

Abstract Only an article rendered by Lia et al. in 2008 has represented charts based on Hoek-Brown criterion for rock

slopes, however, these charts are not precise and efficient. Because of this problem, a modification is suggested for

the mentioned charts in this study. The new charts are calculated according to four methods. Among the methods,

one relates to fin ite element method using Phase2 software. The other three methods are Janbu, Bishop and

Fellenius that belong to lim it equilibrium method by using Slide software. For each slope angle, the method

having high correlation coefficient is selected as the best one. Then, final charts are rendered according to the

selected method and its specific equations. Among forty equations, twenty-five ones or 62.5% relate to numerical

method and Phase2 software, six ones or 15% belong to Fellenius limit equilibrium, six ones or 15% relate to

Bishop limit equilibrium, and three ones or 7.5% belong to Janbu limit equilibrium. In order to validate new charts,

slope stability analysis is carried out for several sections of Chadormalu iron ore open pit mine, Iran. The error

percentage of new charts in limit equilibrium method using Slide software and in Bishop method for slopes of

Chadormalu iron ore mine are rendered and compared. The charts on a basis of Hoek-Brown failure criterion for

rock slopes show less than ±4% error. This indicates that these charts are appropriate tools and their safety factor is

optimal for rock slopes.

Author Keywords Hoek-Brown criterion; Rock slopes; Stability charts

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Ahangari K.; Department Of Mining Engineering, Science And Research Branch, Islamic Azad University,

Tehran, Iran; email: [email protected]

ISSN: 08607001

DOI: 10.2478/amsc-2013-0052


Abbreviated Source Title: Arch. Min. Sci.


Source: Scopus

Zare, M.a , Pourghasemi, H.R.b , Vafakhah, M.c , Pradhan, B.d e

Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: A comparison

between multilayer perceptron (MLP) and radial basic function (RBF) algorithms

(2013) Arabian Journal of Geosciences, 6 (8), pp. 2873-2888. Cited 8 times.

a Watershed Management Engineering, College of Natural Resources, Tehran University, Tehran, Iran b Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat Modares

University (TMU), Mazandaran, Iran c Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University (TMU), Mazandaran, Iran d Institute of Advanced Technology, Spatial and Numerical Modeling Laboratory, University Putra Malaysia

(UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia

e Faculty of Engineering, Department of Civil Engineering, Spatial and Numerical Modeling Research Group,

University Putra Malaysia (UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia

Abstract Landslide susceptibility and hazard assessments are the most important steps in landslide risk mapping. The main

objective of this study was to investigate and compare the results of two artificial neural network (ANN)

algorithms, i.e., multilayer perceptron (MLP) and radial basic function (RBF) for spatial prediction of landslide

susceptibility in Vaz Watershed, Iran. At first, landslide locations were identified by aerial photographs and field

surveys, and a total of 136 landside locations were constructed from various sources. Then the landslide inventory

map was randomly split into a training dataset 70 % (95 landslide locations) for training the ANN model and the

remaining 30 % (41 landslides locations) was used for validation purpose. Nine landslide conditioning factors such

as slope, slope aspect, altitude, land use, lithology, distance from rivers, distance from roads, distance from faults,

and rainfall were constructed in geographical information system. In this study, both MLP and RBF algorithms

were used in artificial neural network model. The results showed that MLP with Broyden-Fletcher-Goldfarb-

Shanno learning algorithm is more efficient than RBF in landslide susceptibility mapping for the study area.

Finally the landslide susceptibility maps were validated using the validation data (i.e., 30 % landslide location data

that was not used during the model construction) using area under the curve (AUC) method. The success rate curve

showed that the area under the curve for RBF and MLP was 0.9085 (90.85 %) and 0.9193 (91.93 %) accuracy,

respectively. Similarly, the validation result showed that the area under the curve for MLP and RBF models were

0.881 (88.1 %) and 0.8724 (87.24 %), respectively. The results of this study showed that landslide susceptibility

mapping in the Vaz Watershed of Iran using the ANN approach is viable and can be used for land use planning. ©

2012 Saudi Society for Geosciences.

Author Keywords Artificial neural networks; Geographic Information Systems (GIS); Iran; Landslide; Susceptibility; Vaz

Watershed

Index Keywords algorithm, artificial neural network, data set, GIS, hazard assessment, land use planning, landslide, mapping

method, numerical model, photography, prediction, satellite data; Iran

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Pradhan B.; Faculty of Engineering, Department of Civil Engineering, Spatial and Numerical Modeling Research

Group, University Putra Malaysia (UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia; email:

[email protected]

ISSN: 18667511

DOI: 10.1007/s12517-012-0610-x




Source: Scopus

Solaimani, K.a , Mousavi, S.Z.b , Kavian, A.b

Landslide susceptibility mapping based on frequency ratio and logistic regression models

(2013) Arabian Journal of Geosciences, 6 (7), pp. 2557-2569. Cited 1 time.

a GIS Centre, Sari University of Agricultural Sciences and Natural Resources, Sari, Iran b Sari University of Agricultural Sciences and Natural Resources, Sari, Iran

Abstract The aim of this study is to apply and compare a probability model, frequency ratio and statistical model, and a

logistic regression to Sajaroud area, Northern Iran using geographic information system. Landslide locations of the

study area were detected from interpretation of aerial photographs and field surveys. Landslide-related factors such

as elevation, slope gradient, slope aspect, slope curvature, rainfall, distance to fault, distance to drainage, distance

to road, land use, and geology were calculated from the topographic and geology map and LANDSAT ETM

satellite imagery. The spatial relationships between the landslide location and each landslide-related factor were

analyzed and then landslide susceptibility maps were produced using the frequency ratio and forward stepwise

logistic regression methods. Finally, the maps were tested and compared using known landslide locations, and

success rates were calculated. Predicted accuracy values for frequency ratio (79.48%) and logistic regression

models showed that the map obtained from frequency ratio model is more accurate than the logistic regression

(77.4%) model. The models used in this study have shown a great deal of importance for watershed management

and land use planning. © 2012 Saudi Society for Geosciences.

Author Keywords Frequency ratio; Logistic regression; Northern Iran; Susceptibility mapping

Index Keywords accuracy assessment, aerial photograph, elevation, field survey, GIS, land use, land use planning, Landsat thematic

mapper, landslide, prediction, probability, regression analysis, risk assessment, slope dynamics, statistical

analysis, topographic mapping; Iran

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ISSN: 18667511

DOI: 10.1007/s12517-012-0526-5




Source: Scopus

Jiao, Y.-Y., Wang, Z.-H., Wang, X.-Z., Adoko, A.C., Yang, Z.-X.

Stability assessment of an ancient landslide crossed by two coal mine tunnels

(2013) Engineering Geology, 159, pp. 36-44. Cited 1 time.

State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics,

Chinese Academy of Sciences, Wuhan 430071, China

Abstract In 2005, when two main tunnels were excavated in Faer Coal Mine, Guizhou Province, China, an unknown ancient

landslide, subsequently named Dazhai landslide, was encountered. Roof caving, large convergence and severe

support damage in the tunnels, as well as several ground subsidence occurred. The two tunnels have been kept

stable after an inner supporting treatment in 2008. However, since a heavy rainfall in July 2010, some transverse

cracks were observed at the landslide toe, determining significant additional costs over the normal administration

of the mine. Invited by the owner, we performed a comprehensive investigation to evaluate the stability of Dazhai

landslide crossed by two main tunnels. Firstly, field surveys and mappings were completed to obtain a preliminary

delineation of the landslide surface, and a geological drilling along the central landslide axis was accomplished to

depict the sliding surface. After that, a monitoring system containing a GPS-RTK network and six observation

sections in one tunnel were established and a 12-month monitoring was conducted. Moreover, to obtain an overall

comprehension, numerical simulations were carried out by using GeoStudio and FLAC3D software. The results

from site drilling, monitoring and simulations indicate that the Dazhai landslide is stable as a whole, and only local

shallow landslides might occur. The local instability of Dazhai landslide has limited impact on the safety of the two

main tunnels. This conclusion has led to a budget savings of over RMB 40million. •Stability of an ancient landslide

crossed by two coal tunnels was studied.•Field surveys, drillings, monitoring and numerical simulations were

applied.•This landslide is stable as a whole, and only local shallow landslides might occur.•Local instability of the

landslide has little impact on the shaft safety.•This study has led to a budget savings of over RMB 40million for the

owner. © 2013 Elsevier B.V.

Author Keywords Ancient landslide; Coal mine tunnel; Geological exploration; GPS-RTK; Numerical simulations; Stability

assessment

Index Keywords Ancient landslide, Geological exploration, GPS-RTK, Mine tunnel, Stability assessment; Budget control, Coal

mines, Computer simulation, Surveys, System stability; Landslides; coal mine, GPS, landslide, mapping, mass

movement, numerical model, stability analysis, subsidence, tunnel; China, Guizhou

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Estimation of in situ stress along deep tunnels buried in complex geological conditions



Jiao Y.-Y.; State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil

Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; email: [email protected]

ISSN: 00137952

CODEN: EGGOA

DOI: 10.1016/j.enggeo.2013.03.021


Abbreviated Source Title: Eng. Geol.


Source: Scopus

Wang, X.-F.a b c , Zhang, D.-S.a b c , Zhang, C.-G.d , Fan, G.-W.a b c

Mechanism of mining-induced slope movement for gullies overlaying shallow coal seams


a School of mines, China University of Mining and Technology, Xuzhou, 221116, China b State Key Laboratory of Coal Resource and Mine Safety, Xuzhou, 221116, China c Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China, Xuzhou, 221116, China d The University of New South Wales, Sydney, 2052, Australia

Abstract This paper provides an improved understanding of the movement mechanisms of both bed-rock gully and sandy

soil gully when underground mining occurs underneath, followed by systematic analysis of the contributing factors

such as mining advance direction, gully slope angle, gully erosion coefficient and mining height. This paper

presents the results from monitoring, theoretical analyses and up to date modeling based on the geological features

in the gully affected area, and the implications of these results to the success of roof support trial. It was observed

that when mining occurred towards the gully, sliding of slope block along the fracture surface occurred, which

resulted in unstable roof condition; when mining progressed away from the gully, polygon blocks developed in the

gully slope and rotated in reversed direction forming hinged structure; within the bed-rock slope, the hinged

structure was unstable due to shear failure of the polygon block; however, within the sandy soil slope, the structure

was relatively stable due to the gradual rotating and subsiding of the polygon block. The increase of the value of

slope angle and mining height lead to a faster and more intensive fracture development within the gully slope,

which had a pronounced effect on gully slope stability and underground pressure. Various remediation approaches

are hence proposed in this paper including introducing more powerful support and reasonable mining height,

setting up working face along or away from gullies, using room and pillar, strip mining and backfill instead of

longwall mining. © 2013 Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-

Verlag Berlin Heidelberg.

Author Keywords Coal mine; Gully slope; Mining method; Movement mechanism; Roof control; Shallow coal seam

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Xuzhou: China University of Mining and Technology

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Xuzhou: China University of Mining and Technology


Zhang D.-S.; School of mines, China University of Mining and Technology, Xuzhou, 221116, China; email:

[email protected]

ISSN: 16726316

DOI: 10.1007/s11629-013-2455-5


Abbreviated Source Title: J. Mt. Sci.


Source: Scopus

Pourghasemi, H.R.a , Moradi, H.R.a , Fatemi Aghda, S.M.b c

Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index

models and assessment of their performances



Modares University (TMU), Noor, Mazandaran, Iran b Department of Engineering Geology, Tarbiat Moallem University (Kharazmi University), Tehran, Iran c The Ministry of Road and Urban Development (Road, Housing and Urban Development Research Center),

Tehran, Iran

Abstract The current research presents a detailed landslide susceptibility mapping study by binary logistic regression,

analytical hierarchy process, and statistical index models and an assessment of their performances. The study area

covers the north of Tehran metropolitan, Iran. When conducting the study, in the first stage, a landslide inventory

map with a total of 528 landslide locations was compiled from various sources such as aerial photographs, satellite

images, and field surveys. Then, the landslide inventory was randomly split into a testing dataset 70 % (370

landslide locations) for training the models, and the remaining 30 % (158 landslides locations) was used for

validation purpose. Twelve landslide conditioning factors such as slope degree, slope aspect, altitude, plan

curvature, normalized difference vegetation index, land use, lithology, distance from rivers, distance from roads,

distance from faults, stream power index, and slope-length were considered during the present study. Subsequently,

landslide susceptibility maps were produced using binary logistic regression (BLR), analytical hierarchy process

(AHP), and statistical index (SI) models in ArcGIS. The validation dataset, which was not used in the modeling

process, was considered to validate the landslide susceptibility maps using the receiver operating characteristic

curves and frequency ratio plot. The validation results showed that the area under the curve (AUC) for three

mentioned models vary from 0.7570 to 0.8520 (AUCAHP = 75.70 %, AUCSI = 80.37 %, and AUCBLR = 85.20

%). Also, plot of the frequency ratio for the four landslide susceptibility classes of the three landslide susceptibility

models was validated our results. Hence, it is concluded that the binary logistic regression model employed in this

study showed reasonably good accuracy in predicting the landslide susceptibility of study area. Meanwhile, the

results obtained in this study also showed that the statistical index model can be used as a simple tool in the

assessment of landslide susceptibility when a sufficient number of data are obtained. © 2013 Springer

Science+Business Media Dordrecht.

Author Keywords AHP; Binary logistic regression; Iran; Landslide susceptibility mapping; North of Tehran; Statistical index

Index Keywords aerial photograph, field survey, GIS, hierarchical system, landslide, lithology, logistics, mapping

method, metropolitan area, model test, model validation, NDVI, performance assessment, regression

analysis, satellite imagery, software; Iran, Tehran [Iran], Tehran [Tehran (PRV)]

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doi:10.1007/s12517-012-0610-x


Moradi H. R.; Department of Watershed Management Engineering, College of Natural Resources and Marine

Sciences, Tarbiat Modares University (TMU), Noor, Mazandaran, Iran; email: [email protected]

ISSN: 0921030X

DOI: 10.1007/s11069-013-0728-5




Source: Scopus

Bhandary, N.P.a , Dahal, R.K.a b , Timilsina, M.a , Yatabe, R.a

Rainfall event-based landslide susceptibility zonation mapping

(2013) Natural Hazards, 69 (1), pp. 365-388. Cited 1 time.

a Department of Civil and Environmental Engineering, Graduate School of Science and Engineering, Ehime

University, 3 Bunkyo, Matsuyama, 790-8577, Japan b Department of Geology, Tribhvuan University, Tri-Chandra Campus, Ghantaghar, Kathmandu, Nepal

Abstract Landslide susceptibility assessment is a major research topic in geo-disaster management. In recent days, various

landslide susceptibility and landslide hazard assessment methodologies have been introduced with diverse thoughts

of assessment and validation method. Fundamentally, in landslide susceptibility zonation mapping, the

susceptibility predictions are generally made in terms of likelihoods and probabilities. An overview of landslide

susceptibility zoning practices in the last few years reveals that susceptibility maps have been prepared to have

different accuracies and reliabilities. To address this issue, the work in this paper focuses on extreme event-based

landslide susceptibility zonation mapping and its evaluation. An ideal terrain of northern Shikoku, Japan, was

selected in this study for modeling and event-based landslide susceptibility mapping. Both bivariate and

multivariate approaches were considered for the zonation mapping. Two event-based landslide databases were used

for the susceptibility analysis, while a relatively new third event landslide database was used in validation.

Different event-based susceptibility zonation maps were merged and rectified to prepare a final susceptibility

zonation map, which was found to have an accuracy of more than 77 %. The multivariate approach was ascertained

to yield a better prediction rate. From this study, it is understood that rectification of susceptibility zonation map is

appropriate and reliable when multiple event-based landslide database is available for the same area. The analytical

results lead to a significant understanding of improvement in bivariate and multivariate approaches as well as the

success rate and prediction rate of the susceptibility maps. © 2013 Springer Science+Business Media Dordrecht.

Author Keywords Event-based landslide; Landslide susceptibility; Susceptibility zonation

Index Keywords database, hazard assessment, landslide, mapping, natural disaster, rainfall, slope stability, zonation; Japan, Shikoku

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Bhandary N. P.; Department of Civil and Environmental Engineering, Graduate School of Science and

Engineering, Ehime University, 3 Bunkyo, Matsuyama, 790-8577, Japan; email: [email protected]

ISSN: 0921030X

DOI: 10.1007/s11069-013-0715-x




Source: Scopus



(2013) Applied Mechanics and Materials, 300-301, pp. 860-869. Cited 22 times.

Department of Structural Mechanics, Faculty of Civil Engineering, VSB - Technical University Ostrava, Ludvika

Podeste 1875/17, 708 33 Ostrava - Poruba, Czech Republic

Abstract Reliability of load-carrying structures has been assessed by various calculation procedures based on probability

theory and mathematic statistics, which have been becoming more and more popular. The calculation procedures

are well-suited for the design of elements in loadcarrying structures with the required level of reliability if at least

some input parameters are random and contribute to a qualitatively higher level of the reliability assessment and, in

turn, higher safety of those who use the buildings and facilities. This paper discusses application of the original and

new probabilistic methods - the Direct Optimized Probabilistic Calculation ("DOProC"), which uses a purely

numerical approach without any simulation techniques. This provides more accurate solutions to probabilistic

tasks, and, in some cases, to considerably faster completion of computations. © (2013) Trans Tech Publications,

Switzerland.

Author Keywords Direct optimized probabilistic calculation; DOProC method; Failure function; Load effect; Probability

distribution; Probability of failure; Reliability assessment; Structural resistance

Index Keywords DOProC method, Load effects, Probability of failure, Reliability assessments, Structural resistance; Numerical

methods, Optimization, Probability distributions, Reliability analysis, Reliability theory; Structural design

References

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Reliability analysis of uncertain input variables for cracked structures

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book series: Applied Mechanics and Materials, Vol. 52-54, (6 p) , ISSN 1660-9336

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Cajka, R., Mateckova, P., Janulikova, M.

Bitumen sliding joints for friction elimination in footing bottom


(6 p), Trans Tech Publications, Switzerland, ISSN 1660-9336, doi:10.4028/www.scientific.net/AMM.188.247

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B.V., 2012. ISBN 978-190508830-0


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WOS: 000281188500203


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11.

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010-0010-7

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9.

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0007-x

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New digital ground snow load map for the area of the Czech Republic

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(13 p), doi: 10.1016/j.probengmech.2006.11.003, ISSN 0266-8920

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Vorechovsky, M., Novak, D.

Correlation control in small-sample monte carlo type simulations I: A simulated annealing approach


doi: 10.1016/j.probengmech.2009.01.004


Krejsa M.; Department of Structural Mechanics, Faculty of Civil Engineering, VSB - Technical University

Ostrava, Ludvika Podeste 1875/17, 708 33 Ostrava - Poruba, Czech Republic; email: [email protected]

Sponsors: Hwa Hsia Institute of Technology; Taiwan Society of Android Robotics; Trans Tech Publications lnc

Conference name: 2nd International Conference on Mechatronics and Applied Mechanics, ICMAM 2012



ISSN: 16609336

ISBN: 9783037856512

DOI: 10.4028/www.scientific.net/AMM.300-301.860




Source: Scopus

Yesiloglu-Gultekin, N.a , Sezer, E.A.b , Gokceoglu, C.c , Bayhan, H.c

An application of adaptive neuro fuzzy inference system for estimating the uniaxial compressive strength of certain

granitic rocks from their mineral contents

(2013) Expert Systems with Applications, 40 (3), pp. 921-928. Cited 7 times.

a Department of Geological Engineering, Aksaray University, Aksaray, Turkey b Department of Computer Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey c Department of Geological Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey

Abstract The uniaxial compressive strength (UCS) of rocks is an important intact rock parameter, and it is commonly used

for various engineering applications. This parameter is mainly controlled by the mineralogical and textural

characteristics of rocks. In this study, a soft computing method, an adaptive neuro-fuzzy inference system

(ANFIS), was employed to estimate UCS from the mineral contents of certain granitic rocks selected from Turkey;

nonlinear multiple regression analysis was then employed to validate these estimations. Five nonlinear multiple

regressions and ANFIS models were constructed with three inputs: quartz, orthoclase and plagioclase. To

determine the optimal model, various performance indices (R, values account for and root mean square error) were

determined, and the model obtained from dataset #3 was selected as the optimal model. The coefficients of

correlation for the nonlinear multiple regression and ANFIS models were 0.87 and 0.91, respectively. Thus, both

models yielded acceptable results, and the ANFIS is a suitable method for estimating the UCS of rocks. © 2012

Elsevier Ltd. All rights reserved.

Author Keywords

Adaptive neuro fuzzy inference system; Granitic rock; Nonlinear multiple regression; Uniaxial compressive

strength

Index Keywords Adaptive neuro-fuzzy inference system, ANFIS model, Data sets, Engineering applications, Granitic rocks, Intact

rocks, Mineral content, Multiple regression analysis, Multiple regressions, Optimal model, Performance

indices, Root mean square errors, Soft computing methods, Textural characteristic, Uniaxial compressive strength;

Compressive strength, Granite, Mean square error, Quartz, Regression analysis, Rocks, Soft computing; Estimation

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Gokceoglu C.; Department of Geological Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey;


ISSN: 09574174

CODEN: ESAPE

DOI: 10.1016/j.eswa.2012.05.048


Abbreviated Source Title: Expert Sys Appl


Source: Scopus

Ozdemir, A.a , Altural, T.b


susceptibility mapping: Sultan mountains, SW Turkey

(2013) Journal of Asian Earth Sciences, 64, pp. 180-197. Cited 7 times.

a Selcuk University, Department of Geological Engineering, Konya, Turkey b Selcuk University, Graduate School of Natural and Applied Sciences, Konya, Turkey

Abstract This study evaluated and compared landslide susceptibility maps produced with three different methods, frequency

ratio, weights of evidence, and logistic regression, by using validation datasets. The field surveys performed as part

of this investigation mapped the locations of 90 landslides that had been identified in the Sultan Mountains of

south-western Turkey. The landslide influence parameters used for this study are geology, relative permeability,

land use/land cover, precipitation, elevation, slope, aspect, total curvature, plan curvature, profile curvature,

wetness index, stream power index, sediment transportation capacity index, distance to drainage, distance to fault,

drainage density, fault density, and spring density maps. The relationships between landslide distributions and

these parameters were analysed using the three methods, and the results of these methods were then used to

calculate the landslide susceptibility of the entire study area. The accuracy of the final landslide susceptibility maps

was evaluated based on the landslides observed during the fieldwork, and the accuracy of the models was evaluated

by calculating each model's relative operating characteristic curve. The predictive capability of each model was

determined from the area under the relative operating characteristic curve and the areas under the curves obtained

using the frequency ratio, logistic regression, and weights of evidence methods are 0.976, 0.952, and 0.937,

respectively. These results indicate that the frequency ratio and weights of evidence models are relatively good

estimators of landslide susceptibility in the study area. Specifically, the results of the correlation analysis show a

high correlation between the frequency ratio and weights of evidence results, and the frequency ratio and logistic

regression methods exhibit correlation coefficients of 0.771 and 0.727, respectively. The frequency ratio model is

simple, and its input, calculation and output processes are easily understood. The interpretations of the

susceptibility map reveal that geology, slope steepness, slope aspect, and elevation played major roles in landslide

occurrence and distribution in the Sultan Mountains. The landslide susceptibility maps produced from this study

could therefore assist planners and engineers during development and land-use planning. © 2012 Elsevier Ltd.

Author Keywords Frequency ratio; Landslide susceptibility; Logistic regression; Weights of evidence

Index Keywords accuracy assessment, comparative study, frequency analysis, land cover, land use, landslide, mapping

method, numerical model, regression analysis, sediment transport, slope, comparative study, correlation, data

set, elevation, geological mapping, land use planning, landslide, regression analysis, slope; Sultan

Mountains, Turkey, Sultan Mountains, Turkey

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ISSN: 13679120

DOI: 10.1016/j.jseaes.2012.12.014


Abbreviated Source Title: J. Asian Earth Sci.


Source: Scopus

Devkota, K.C.a b , Regmi, A.D.c , Pourghasemi, H.R.d , Yoshida, K.c , Pradhan, B.e , Ryu, I.C.a , Dhital, M.R.f ,

Althuwaynee, O.F.e

Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and

their comparison at Mugling-Narayanghat road section in Nepal Himalaya


a Department of Geology, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Taegu, 702-701, South

Korea b Ministry of Public Administration and Security, National Disaster Management Institute, 136 Mapo-daero, Mapo-

gu, Seoul, 121-719, South Korea c Department of Geology, Faculty of Science, Shinshu University, Asahi 3-1-1, Matsumoto, 3908621, Japan d College of Natural Resources and Marine Sciences, Tarbiat Modares University (TMU), Tehran, Iran e Faculty of Engineering, Geospatial Information Science Research Centre (GIS RC), University Putra Malaysia,

43400 Serdang, Selangor Darul Ehsan, Malaysia f Central Department of Geology, Tribhuvan Univeristy, Kritipur, Kathmandu, Nepal

Abstract Landslide susceptibility maps are vital for disaster management and for planning development activities in the

mountainous country like Nepal. In the present study, landslide susceptibility assessment of Mugling-Narayanghat

road and its surrounding area is made using bivariate (certainty factor and index of entropy) and multivariate

(logistic regression) models. At first, a landslide inventory map was prepared using earlier reports and aerial

photographs as well as by carrying out field survey. As a result, 321 landslides were mapped and out of which 241

(75 %) were randomly selected for building landslide susceptibility models, while the remaining 80 (25 %) were

used for validating the models. The effectiveness of landslide susceptibility assessment using GIS and statistics is

based on appropriate selection of the factors which play a dominant role in slope stability. In this case study, the

following landslide conditioning factors were evaluated: slope gradient; slope aspect; altitude; plan curvature;

lithology; land use; distance from faults, rivers and roads; topographic wetness index; stream power index; and

sediment transport index. These factors were prepared from topographic map, drainage map, road map, and the

geological map. Finally, the validation of landslide susceptibility map was carried out using receiver operating

characteristic (ROC) curves. The ROC plot estimation results showed that the susceptibility map using index of

entropy model with AUC value of 0. 9016 has highest prediction accuracy of 90. 16 %. Similarly, the susceptibility

maps produced using logistic regression model and certainty factor model showed 86. 29 and 83. 57 % of

prediction accuracy, respectively. Furthermore, the ROC plot showed that the success rate of all the three models

performed more than 80 % accuracy (i. e. 89. 15 % for IOE model, 89. 10 % for LR model and 87. 21 % for CF

model). Hence, it is concluded that all the models employed in this study showed reasonably good accuracy in

predicting the landslide susceptibility of Mugling-Narayanghat road section. These landslide susceptibility maps

can be used for preliminary land use planning and hazard mitigation purpose. © 2012 Springer Science+Business

Media B.V.

Author Keywords Certainty factor; Geographic information systems (GIS); Index of entropy; Landslides; Logistic

regression; Nepal; Remote sensing; Susceptibility

Index Keywords accuracy assessment, disaster management, field survey, geomorphological mapping, GIS, hazard

management, land use planning, landslide, numerical model, prediction, regression analysis, remote sensing;

Himalayas, Nepal

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Analytical derivation of friction parameters for FEM calculation of the state of stress in foundation structures on

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Department of Structures, VSB - Technical University Ostrava, Ludvíka Podéště 1875/17, 708 33 Ostrava-Poruba,

Czech Republic

Abstract When calculating the state of stress in a structure caused by relative strain of landscape which is a result of

undermining, the structure is often deformed in order to create the specific situation. Each part of the structure

resists the strain in a difference way. This depends on places where the structure is in contact with soil

environment. When calculating the 3D foundation structures by means of the Finite Element Method (FEM), it is

necessary to determine the soil environment resistance. For that purpose, most FEM software applications enable

now to enter the friction parameters C1x and C1y. Unlike C1z which resists the structure in the direction

perpendicular to the element's plane, these parameters are applied in the central line plane of a slab and rod

element.

Author Keywords FEM calculation; Foundation structures; Friction parameters

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ISSN: 13351788


Abbreviated Source Title: Acta Montanistica Slovaca


Source: Scopus

Demir, G.a , Aytekin, M.b , Akgün, A.c , Ikizler, S.B.d , Tatar, O.e




a Department of Civil Engineering, Cumhuriyet University, Sivas, Turkey b Department of Civil Engineering and Architecture, University of Bahrain, Isa Town, Bahrain c Department of Geological Engineering, KTU, Trabzon, Turkey d Department of Civil Engineering, KTU, Trabzon, Turkey e Department of Geological Engineering, Cumhuriyet University, Sivas, Turkey

Abstract The North Anatolian Fault is known as one of the most active and destructive fault zones which produced many

earthquakes with high magnitudes both in historical and instrumental periods. Along this fault zone, the

morphology and the lithological features are prone to landslides. Kuzulu landslide, which is located near the North

Anatolian Fault Zone, was triggered by snow melting without any precursor, occurred on March 17, 2005. The

landslide resulted in 15 deaths and the destruction of about 30 houses at Kuzulu village. There is still a great danger

of further landslides in the region. Therefore, it is vitally important to present its environmental impacts and

prepare a landslide susceptibility map of the region. In this study, we used likelihood-frequency ratio model and

analytical hierarchy process (AHP) to produce landslide susceptibility maps. For this purpose, a detailed landslide

inventory map was prepared and the factors chosen that influence landslide occurrence were: lithology, slope

gradient, slope aspect, topographical elevation, distance to stream, distance to roads, distance to faults, drainage

density and fault density. The ArcGIS package was used to evaluate and analyze all the collected data. At the end

of the susceptibility assessment, the area was divided into five susceptibility regions, such as very low, low,

moderate, high and very high. The results of the analyses were then verified using the landslide location data and

compared with the probability model. For this purpose, an area under curvature (AUC) and the seed cell area index

assessments were applied. An AUC value for the likelihood-frequency ratio-based model 0. 78 was obtained,

whereas the AUC value for the AHP-based model was 0. 64. The landslide susceptibility map will help decision

makers in site selection and the site-planning process. The map may also be accepted as a basis for landslide risk-

management studies to be applied in the study area. © 2012 Springer Science+Business Media Dordrecht.

Author Keywords Analytical hierarchy process; GIS; Landslide; Likelihood-frequency ratio; North Anatolian Fault Zone

Index Keywords analytical hierarchy process, decision making, environmental impact, fault zone, geomorphological

mapping, GIS, landslide, North Anatolian Fault, probability, risk assessment, slope, trigger mechanism; Turkey

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Demir G.; Department of Civil Engineering, Cumhuriyet University, Sivas, Turkey; email:

[email protected]

ISSN: 0921030X

DOI: 10.1007/s11069-012-0418-8




Source: Scopus

Pourghasemi, H.R.a , Pradhan, B.b , Gokceoglu, C.c

Remote sensing data derived parameters and its use in landslide susceptibility assessment using shannon's entropy

and GIS

(2012) Applied Mechanics and Materials, 225, pp. 486-491. Cited 3 times.

a Department of Watershed Management Engineering, College of Natural Resources and Marine Science, Tarbiat

Modares University (TMU), Iran b Institute of Advanced Technology, Faculty of Engineering, Spatial and Numerical Modeling Research Group,

University Putra Malaysia, 43400, Serdang, Selangor, Malaysia c Faculty of Engineering, Applied Geology Division, Department of Geological Engineering, Hacettepe University,

Turkey

Abstract In recent years, the growth of urban populations in hazardous areas has increased the impact of natural disasters in

both developed and developing countries. The purpose of the current study is to assess the landslide susceptibility

in Kalaleh township of Golestan province, Iran. In this study the Shannon's entropy approach was applied. A total

of 82 landslide locations were identified primarily from aerial photographs and field surveys. Then eighteen

landslides conditioning factors were prepared in GIS. These landslide conditioning factors are: slope degree, slope

aspect, altitude, plan curvature, profile curvature, tangential curvature, surface area ratio (SAR), lithology, land

use, soil texture, distance from faults, distance from rivers, distance from roads, fault density, road density,

topographic wetness index (TWI), stream power index (SPI), and sediment transport index (STI). Using these

conditioning factors, landslide susceptibility index was calculated using Shannon's entropy. For model validation,

the results of the analyses were then compared with the field-verified landslide locations. Additionally, the receiver

operating characteristics (ROC) curves for landslide susceptibility maps were drawn and the area under curve

values was calculated. Verification results showed 82.15% accuracy. According to the results of the AUC (area

under curve) evaluation, the map produced exhibits satisfactory properties. © (2012) Trans Tech Publications,

Switzerland.

Author Keywords Gis; Iran; Landslide; Remote sensing; Shannon's entropy; Susceptibility

Index Keywords Aerial Photographs, Fault density, Field surveys, Hazardous area, Iran, Landslide susceptibility, Model

validation, Natural disasters, Receiver operating characteristics, Remote sensing data, Road density, Shannon's

entropy, Slope aspect, Soil textures, Stream power index, Surface area, Topographic wetness index, Urban

population, Verification results; Developing countries, Geographic information systems, Information

theory, Lithology, Magnetic susceptibility, Population statistics, Remote sensing, Sediment transport, Urban

growth; Landslides

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(FSKD 2010)


Pourghasemi H. R.; Department of Watershed Management Engineering, College of Natural Resources and Marine

Science, Tarbiat Modares University (TMU)Iran; email: [email protected]

Sponsors: MALAYSIA Convention and Exhibition Bureau; Malaysia Truly Asia

Conference name: AEROTECH IV - 2012

Conference date: 21 November 2012 through 22 November 2012

Conference location: Kuala Lumpur


ISSN: 16609336

ISBN: 9783037855065

DOI: 10.4028/www.scientific.net/AMM.225.486




Source: Scopus

Vlášek, R.a , Peňáz, T.b , Welser, P.c , Yilmaz, I.d , Bouchal, T.e , Drusa, M.f , Stalmachová, B.e , Duraj, M.a

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(2012) 12th International Multidisciplinary Scientific GeoConference and EXPO - Modern Management of Mine

Producing, Geology and Environmental Protection, SGEM 2012, 2, pp. 191-198.

a VŠB-Technical University of Ostrava, Institute of Geological Engineering, Czech Republic b VŠB-Technical University of Ostrava, Institute of Geographic Information Systems, Czech Republic c After mining s. r. o, Czech Republic d Cumhuriyet University, Department of Geological Engineering, Sivas, Turkey e VŠB-Technical University of Ostrava, Institute of Environmental Engineering, Czech Republic f University of Zilina, Department of Geotechnics, Slovakia

Abstract Description of rocks in engineering geology is a specific and different from other geological disciplines. This need

results from the necessity to apply of the rock properties in their names and descriptions. For foundation

engineering is not the most important petrographic rock name, but their properties, which are reflected in the

characteristics of foundation engineering (bearing capacity, settlement). © SGEM2012 All Rights Reserved by the

International Multidisciplinary Scientific GeoConference SGEM.

Author Keywords Czech republic; Engineering geology; Rocks

Index Keywords Czech Republic, Foundation engineering, Rock properties; Engineering geology, Exhibitions; Rocks

References

Andras, P., Krizani, I., Stanko, M.

Free-living rodents as monitors of environmental contaminants at a polluted mining dump area


Andras, P., Dirner, V., Harnakova, A.

Determination Of (238)U, (232)Th And (40)K Activity in The Rocks Used in Civil Engineering from the Male

Karpaty Mts. (Slovakia)





Drusa, M., Chebň, V.

Geotechnical monitoring of road embankment in landslide area by time domain reflectometry technology

(2011) SGEM 2011: 11th International Multidisciplinary Scientific Geoconference, 1, pp. 473-480.

20-25, June 2011, Bulgaria, STEF92 Technology

Drusa, M., Nguyen, G.

The analysis of factors influencing the values of sandy soils shear strength parameters obtained by direct shear

test

(2011) SGEM 2011: 11th International Multidisciplinary Scientific Geoconference, 1, pp. 607-614.

20-25, June 2011, Bulgaria, STEF92 Technology

Drusa, M., Giang, N.

Stress and compressibility calculation in subsoil of high embankments and effectiveness of speeding up subsoil

consolidation

(2004) Komunikacie, 6 (3), pp. 5-9.

Drusa, M., Gróf, V.

(2004) Geotechnical Aspects of Railway Tunnel Construction Near Rudoltice Komunikacie, 6 (3), pp. 51-54.

Drusa, M., Sitanyiova, D.

Experiences from Advanced Teaching in Geotechnics under Erasmus Programme

(2008) Proceedings of the First International Conference On Education and Training In Geo-Engineering

Sciences,

Constantza Romania, June 2nd - 4th, Taylor & Francis Group London, SBN 978-0-415-47593-8

Hiller, E., Lalinská, B., Chovan, M., Jurkovič, Ľ., Klimko, T., Jankulár, M., Hovorič, R., Ondrejková, I.

Arsenic and antimony contamination of waters, stream sediments and soils in the vicinity of abandoned

antimony mines in the Western Carpathians, Slovakia

(2012) Applied Geochemistry, 27 (3), pp. 598-614.

Jankulár, M., Klimko, T., Jurkovič, L., Lalinská, B., Šottník, P., Lintnerová, O., Šutriepka, M.

P23 examination of abandoned Sb deposits by mineralogical methods in poproč (Slovakia)

(2008) Chemicke Listy, 102 (15), pp. 380-382.

spec. iss

Krizani, I., Andras, P., Slesarova, A.

Percolation Modeling of the Dump and Settling Pit Sediments at the Banska Stiavnica Ore-Field (Western

Carpathians, Slovakia)



Evaluation of engineering-geological conditions for conurbation of Ostrava within GIS environment

Environmental Earth Sciences,

DOI: 10.1007/s12665-012-1547-9

Marschalko, M., Duraj, M.

Knowledge of engineering-geological conditions as decisive factor for good-quality and functional foundation

of potential structures

(2009) Conference Proceeding - SGEM 2009: 9th International Multidisciplinary Scientific GeoConference,

Modern Management of Mine Producing, Geology and Environmental Protection, 1, pp. 261-269.

Jun 14-19, Albena, Bulgaria


Influence of mining activity on selected landslide in the Ostrava-Karvina coalfield





Marschalko, M., Hofrichterova, L., Lahuta, H.

Utilization of geophysical method of multielectrode resistivity measurements on a slope deformation in the

mining district

(2008) SGEM 2008: 8th International Scientific Conference, Vol I, Conference Proceedings - Modern

Management of Mine Producing Geology and Environmental Protection, pp. 315-324.

Sofia, Bulgaria

Marschalko, M., Juris, P.

Task of engineering geology in land-use planning on the example of four selected geofactors


Marschalko, M., Juris, P., Tomas, P.

Selected geofactors of floodland, radon risk, slope deformations and undermining as significant limiting

conditions in land-use planning

(2008) Conference Proceeding - SGEM 2008: 8th International Scientific Conference On Modern Management

of Mine Producing, Geology and Environmental Protection, 1, pp. 201-210.

JUN 16- 20, Sofia, Bulgaria

Marschalko, M., Lahuta, H., Juris, P.

Analysis of workability of rocks and type of prequarternary bedrock in the selected part of the Ostrava

conurbation by means of geographic information systems





DOI: 10.1007/s10064-011-0401-8

Marschalko, M., Tomas, P., Juris, P.

Evaluation of four selected geobarriers flood lands, radon hazard, undermining and slope movements by means

of geographic information systems

(2009) Conference Proceeding - SGEM 2009: 9th International Multidisciplinary Scientific GeoConference,


Jun 14-19, Albena, Bulgaria





Deformation of slopes as a cause of underground mining activities: Three case studies from Ostrava-Karviń coal

field (Czech Republic)

(2011) Environmental Monitoring and Assessment,

DOI: 10.1007/s10661-011- 2453-4


Variations in the building site categories in the underground mining region of Doubrava (Czech Republic) for

land use planning


Marschalko, M., Yilmaz, I., Bednarik, M., Kubecka, K., Bouchal, T., Zavada, J.

Subsidence map of underground mining influence for urban planning: An example from the Czech Republic

(2012) Quarterly Journal of Engineering Geology and Hydrogeology, 45 (2), pp. 231-241.

Marschalko, M., Yilmaz, I., Fojtova, L., Kubecka, K., Bednarik, M., Stalmachova, B., Zavada, J., Arencibia, O.

Implementation of Selected Geobarriers for the Landscape Planning Purposes in Slezska Ostrava (Czech

Republic)


Marschalko, M., Yilmaz, I., Kristkova, V., Fuka, M., Kubecka, K., Bouchal, T.

An indicative method for determination of the most hazardous changes in slopes of the subsidence basins in

underground coal mining area

Environmental Monitoring and Assessment,

DOI: 10.1007/s10661-012-2571-7



Silesian Basin (Czech Republic)


DOI: 10.1016/j.enggeo.2011.10.010

Marschalko, M., Yilmaz, I., Kubečka, K., Bednárik, M., Duraj, M., Lahuta, H.

Selected geobarriers as part of land use planning information and rating service

(2011) Conference Proceedings: 11th International Multidisciplinary Scientific GeoConference SGEM 2011,


Albena, Bulgaria, ISSN: 1314-2704, DOI: 10.5593/sgem2011/s02.135

Marschalko, M., Yilmaz, I., Kubečka, K., Bednárik, M., Lahuta, H.

Implementation of flood land geofactor and its geological structure into land use plans in the mining landscape




Marschalko, M., Yilmaz, I., Kubecka, K., Bednarik, M., Stalmachova, B., Bouchal, T., Arencibia, O.

Case study of landslide in the Karviń region with using resistivity tomography measurements


Marschalko, M., Yilmaz, I., Kubečka, K., Bouchal, T., Bednárik, M., Lahuta, H., Duraj, M.

The Importance of the Engineering-Geological Conditions Identified in Land Use Plans in the Spa Darkov

Region (Czech Republic)



, Albena, Bulgaria, ISSN: 1314-2704, DOI: 10.5593/sgem2011/s02.141

Marschalko, M., Yilmaz, I., Kubečka, K., Bouchal, T., Bednárik, M., Lahuta, H., Duraj, M.

The Criterion of the Pre-Quaternary Bedrock As Important Information For the Future Foundation Engineering

Purposes Within the Planned Development




Petro, L., Klukanova, A., Kovacikova, M.

Geohazards of the Danube Region In Slovakia

(1997) International Symposium On Engineering Geology and The Environment, 1-3, pp. 1439-1444.

Athens, Greece, Jun 23-27, Engineering Geology And The Environment


Comments on Landslide susceptibility zonation study using remote sensing and GIS technology in the Ken-

Betwa River Link area, India

Bulletin of Engineering Geology and The Environment,

by R. Avtar, C. K. Singh, G. Singh, R.L. Verma, S. Mukherjee, H. Sawada, DOI 10.1007/s10064-011-0368-5).

Bulletin of Engineering Geology and the Environments. DOI: 10.1007/s10064-011-0406-3




Bulletin of Engineering Geology and The Environment,

DOI: 10.1007/s10064-011-0384-5


Gypsum collapse hazards and importance of hazard mapping

(2011) Carbonates and Evaporites, 26 (2), pp. 193-209.



(2011) Neural Computing and Applications,

DOI: 10.1007/s00521-011-0535-4


VŠB-Technical University of Ostrava, Institute of Geological EngineeringCzech Republic

Conference name: 12th International Multidisciplinary Scientific GeoConference and EXPO, SGEM 2012


Conference location: Varna



Abbreviated Source Title: 12th Int. Multidisciplinary Sci. GeoConf. EXPO - Mod. Manage. Mine Producing,

Geology Environ. Protection


Source: Scopus


Implementation of TDR technology for monitoring of negative factors of slope deformations


Producing, Geology and Environmental Protection, SGEM 2012, 2, pp. 143-150. Cited 2 times.


Abstract Time domain reflectometry (TDR) has been used for a first time in 1950's to examine electrical properties of cables

and transmission lines, and measuring the electrical properties of organic liquids. Universality and further

enhancement of the technology during the 1980's led to monitoring of slope and landslide movements. Thus, TDR

has been utilized in monitoring slope movement to locate shear planes in localized shear failures. The main

advantage of TDR monitoring is localization depth and type of rising deformations bellow surface. However,

advance in electrical technology last 20 years led to emerging air dielectric cables that became object of interest for

further development in geotechnical engineering. Thanks to its material, mechanical and electrical properties were

chosen for application in water level measurement as the most acting negative factor on slope stability. Today new

way of installation of coaxial or piezometric cable by dynamic penetration (DP) and static penetration (CPT)

machines is in progress of research Drusa et al. (2011) and also experiences comes from other research works,

where TDR was implemented in certain European conditions of landslides - Corsini et al. (2008), Singer et al.,

(2010). © SGEM2012 All Rights Reserved by the International Multidisciplinary Scientific GeoConference

SGEM.

Author Keywords Inclinometer; Landslide monitoring; Slope movement; TDR monitoring; TDR piezometer

Index Keywords Electrical technology, Inclinometer, Landslide monitoring, Landslide movements, Mechanical and electrical

properties, Slope movement, TDR piezometer, Time domain reflectometry;

Cables, Deformation, Exhibitions, Landslides, Monitoring, Slope protection, Water levels; Electric properties

References




Corsini



(2008) Mountainn Risk Workshop Barcelona,

5.Sept

Dowding, C.H., O'Connor, K.M.

(1999) Geomeasurements By Pulsing TDR Cables and Probes,

Boca Raton: CRC Press, ISBN 08-493-0586-1

Drusa, M., Chebeň, V., Masarovičová, S.

(2011) Experiences With the Implementation of TDR Technology For Slope Deformation Monitoring, XX

RusPolSk Seminar,

Warszawa & Wroclaw 2011, BTO Print, ISBN 978-80- 970248-6-4

Kuester, E.F., Popovic, Z.

(2005) Principles of RF and Microwave Measurement,

USA, Boulder: University of Colorado




DOI: 10.1007/s10064-011-0401-8



Silesian Basin


DOI: 10.1016/j.enggeo.2011.10.010

Sargand, S.M., Sargent, L., Farrington, S.P.

(2004) Inclinometer-Time Domain Reflectometry Comparative Study,

Final Report December 2004, USA, Athens: Ohio University

Singer, J.

(2010) Development of a Continuous Monitoring System For Instable Slopes Using Time Domain Reflectometry

(TDR), p. 189.

PhD Thesis, Technische Universität München, Munich, Germany




(2012) Bulletin of Engineering Geology and The Environment,

DOI: 10.1007/s10064-011-0384-5


University of ŽilinaSlovakia









Source: Scopus

Drusa, M.

Improvement in evaluation of neogenous soils by CPT testing


Producing, Geology and Environmental Protection, SGEM 2012, 2, pp. 151-158. Cited 2 times.


Abstract The development of infrastructure in Slovakia is engaged by construction of new stages of motorways and high-

speed roads. By engineering geological survey of one part of new high speed road R1, there were used for

evaluation of properties of neogenous fine grained soils cone penetration testing (CPT) and pressuremeter testing

as in situ surveying methods. Due to large number of tests supplemented by laboratory investigations new

correlation for the determination of deformation modulus from cone penetration resistance was estimated for

neogenous clays from soft to hard consistency. © SGEM2012 All Rights Reserved by the International

Multidisciplinary Scientific GeoConference SGEM.

Author Keywords

Cone resistance; Consistency; CPT testing; Deformation modulus; Friction ratio; Liquefaction; Pressuremeter

test

Index Keywords Cone resistance, Consistency, Deformation modulus, Friction ratio, Pressuremeter tests;

Deformation, Exhibitions, Liquefaction, Soil liquefaction; Soil testing

References

Drusa, M., Mečá, M.

(2007) Cone Penetration Testing For Evaluations of Properties of Antropogenous and Loess Deposits, XVI

Russian-Polish-Slovak Seminar, pp. 281-285.

11th - 15th June, Žilina, Slovakia, ISBN 5-72640428-9

Drusa, M., Chebeň, V., Mečá, M., Fussgänger, E.

EVALUATION OF PROPERTIES OF NEOGENOUS FINE SOILS BY CPT TESTING

(2009) Proceedings of XVIII POLISH - RUSSIAN - SLOVAK SEMINAR Theoretical Foundation of Civil

Engineering,

Arkhangelsk, Russia 01 - 05 July

Fussgänger, E.

(2008) Engineering-geological Survey For High Speed Route R1 Selenec - Beladice,

Final Report 430-1/2007, Geofos LTd



Silesian Basin


Czech Republic DOI: 10.1016/j.enggeo.2011.10.010


Variations in the building site categories in the underground mining region of Doubrava (Czech Republic) for

land use planning


Matys, M., Ťavoda, O., Cuninka, M.

(1990) Poľné skúšky zemín, p. 303.

Alfa, Bratislava

Mayne, P.W., Christopher, B.R., Delong, J.

(2001) Manual of Subsurface Investigations,

National Highway Institute, FHWA NHI-01-031, Washington DC

Nguyen, G.

Differences in determination of soil bearing capacity between Slovak Technical Standard STN 73 1001 and

Eurocode 7

(2009) 11th Conference On Science and Technology, pp. 1296-1303.

Vietnam National University - Ho Chi Minh City Publishing House, Socialistic Republic of Vietnam

Petro, L., Frankovská, J., Matys, M., Wagner, P.

(2008) kolektív: Inžinierskogeologický a geotechnický terminologický slovník, ŠGÚDŠ,

Bratislava, ISBN 978-80-88974-99-4

(2009) Evaluation of Penetrating Methods For Determining the Deformation Properties of Subsoil of Transport

Constructions and Their Verification In Geotechnical Practice,

Research project VEGA No. 1/4215/07

Robertson, P.K.

Soil Classification Using the Cone Penetration Test

(1990) Canadian Geotechnical Journal, 27 (1), pp. 151-158.



(2011) Expert Systems With Applications, 38 (5), pp. 5958-5966.


Drusa M.; University of ŽilinaSlovakia









Source: Scopus

Monica, F.

Hydrodynamics of groundwater in loess.case study: The interfluvial at the west of Galati-Romania


Producing, Geology and Environmental Protection, SGEM 2012, 3, pp. 707-712.

Doctoral School of Geography 'Simion Mehedinti', University of Bucharest, Romania

Abstract Hydrogeological and geotechnical studies conducted in the last 30 years in the west of Galati share indicates the

groundwater increase by about 20 m. Transverse profiles confirms the slow pace made the lifting of water today.

Surface observations and the processing of soil samples into laboratory have led to highlighting specific features of

the presence and action of the groundwater all of them influenced by hydrodynamic natural factors. Foundation

grounds that are the deposits of loess is particularly sensitive to water in the area investigated. That thing created

changes in the structure ground and facilitated the development of deformations over acceptable limits, causing

local instability. © SGEM2012 All Rights Reserved by the International Multidisciplinary Scientific

GeoConference SGEM Published by STEF92 Technology Ltd.

Author Keywords Groundwater; Hydrodynamics; Loess

Index Keywords Acceptable limit, Geotechnical studies, Hydrogeological, Local instability, Loess, Natural factors, Surface

observation, Transverse profile; Exhibitions, Hydrodynamics, Sediments; Groundwater

References

Grecu, F., Demeter, T.

(1997) Superficial Formations Geography,

University of Bucharest

Istrate, A., Frinculeasa, M.

Structure and evolution of collapsible deposits east of Bucharest of the Mostiştea plain

(2010) Romania, 10th International Multidisciplinary Scientific GeoConference - SGEM2010, 1, pp. 305-312.

Pascu, M., Stelea, V.

(1963) Practical Handbook of Technical Geology, 86, p. 27.

Technical Publishing House, Bucharest

Ielenicz, M., Pǎtru, I.

(2005) Romania Physical Geography, p. 241.

Volume I, Bucharest University Publishing House

Sficlea, V., Plateau, C.

(1980) Geomorphological Study In Romania VolGeography Rese Arch, pp. 223-285.

Scientific and Encyclopedic Publishing House, Bucharest

Sficlea, V.

(1972) The Platform Covurlui,

PhD Thesis, The Center of University multiplication Al. I. Cuza, Iaşi

Marschalko, M., Duraj, M.

Knowledge of engineering-geological conditions as decisive factor for good-quality and functional foundation

of potential structures

(2009) 9th International Multidisciplinary Scientific GeoConference - SGEM2009, 1, pp. 261-270.

Bǎlan, S.F., Apostol, B.F., Cioflan, C.O.

Modeling geodynamical parameters for the local seismic effects estimation

(2011) Example For Galati and Tecuci Seismic Areas, Publicatǎ În Romanian Reports In

Physics, 63 (1), pp. 240-249.


Monica F.; Doctoral School of Geography 'Simion Mehedinti', University of BucharestRomania









Source: Scopus

Althuwaynee, O.F., Pradhan, B., Mahmud, A.R., Yusoff, Z.M.

Prediction of slope failures using bivariate statistical based index of entropy model

(2012) CHUSER 2012 - 2012 IEEE Colloquium on Humanities, Science and Engineering Research, art.

no. 6504340, pp. 362-367. Cited 4 times.

Department of Civil Engineering, Geospatial Information Science Research Centre (GISRC), University Putra

Malaysia, Serdang, Selangor Darul Ehsan 43400, Malaysia

Abstract The main objective of this research is to evaluate the spatial prediction of potential slope failures in Kuala Lumpur

and surrounding areas using an index of entropy based statistical model. Based on potential information of entropy

method (IoE), subjective weights were calculated for fourteen landslide conditioning factors used in this study such

as, (slope, aspect, curvature, altitude, surface roughness, lithology, distance from faults, NDVI (normalized

difference vegetation index), land cover, distance from drainage, distance from road, SPI (stream power index),

soil type and precipitation). A landslide inventory map of the study area was produced using previous reports and

aerial photographs interpretation aided with extensive field survey and total of 220 main scarps were identified.

Out of this, 153 (70%) landslide locations were used to build the IoE model, while remaining 66 (30%) landslide

locations were used for validation purpose. For validation, the area under the curve (AUC) was used to quantify the

predictive performance of the employed IoE model. The validation results show that the prediction accuracy of the

model is 0.80 (80%) and the success rate equals to 0.81 (81%) that consider fine indicator of the reliability of

bivariate model based IoE model employed in this study. © 2012 IEEE.

Author Keywords Bivariate model; Geographic Information Systems (GIS); Index of Entropy; Kuala Lumpur; Landslides; Remote

Sensing

Index Keywords Area under the curves, Bivariate models, Kuala Lumpur, Landslide inventories, Normalized difference vegetation

index, Prediction accuracy, Predictive performance, Spatial prediction; Entropy, Forecasting, Geographic

information systems, Landslides, Lithology, Remote sensing, Surface roughness; Engineering research

References

Pradhan, B.

Landslide susceptibility mapping by neuro-fuzzy approach in a landslide-prone area (Cameron highlands,

Malaysia)

(2010) Geoscience and Remote Sensing, IEEE Transactions on, 48, pp. 4164-4177.



area




(2009) International Journal of Physical Sciences, 4, pp. 1-15.




(2010) Disaster Adv, 3, pp. 26-34.



(2010) Arabian Journal of Geosciences, 3, pp. 319-326.





Pradhan, B.



2010/09/01

Vlcko J, W.P., Rychlikova, Z.

Evaluation of regional slope stability

(1980) Mineralia Slovaca, 12, pp. 275-283.



Malaysia

(2010) Landslides, 7, pp. 13-30.




(2010) Environmental & Engineering Geoscience, 16, pp. 107-126.


Landslide susceptibility assessment and factor effect analysis: Backpropagation artificial neural networks and


(2010) Environmental Modelling and Software, 25, pp. 747-759.

Pradhan, B.



(2010) Photogrammetrie, Fernerkundung, Geoinformation, 2010, pp. 17-32.

Pradhan, B.



(2010) Computers, Environment and Urban Systems, 34, pp. 216-235.

Althuwaynee, O.F.





(2007) Landslides, 4, pp. 33-41.

Guzzetti, F.

Landslide inventory maps: New tools for an old problem

(2012) Earth-Science Reviews, 112, pp. 42-66.

Van Westen, C.J.

Landslide hazard and risk zonation-why is it still so difficult?


Constantin, M.


Basin (Romania)


Bednarik, M.

Landslide susceptibility assessment of the Kralovany-Liptovsk Mikulás railway case study

(2010) Physics and Chemistry of the Earth, Parts A/B/C, 35, pp. 162-171.

Kojima, H.

Strategy on the landslide type analysis based on the expert knowledge and the quantitative prediction model

(2000) International Archives of Photogrammetry and Remote Sensing, 33, pp. 701-708.

Tien Bui, D.

Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the


(2012) Catena, 96, pp. 28-40.

Oh, H.-J.



Alansi, A.

The effect of development and land use change on rainfall-runoff and runoff-sediment relationships under

humid tropical condition: Case study of bernam watershed Malaysia

(2009) European Journal of Scientific Research, 31, pp. 88-105.


Pradhan B.; Department of Civil Engineering, Geospatial Information Science Research Centre (GISRC),

University Putra Malaysia, Serdang, Selangor Darul Ehsan 43400, Malaysia; email: [email protected]

Sponsors: IEEE Malaysia; IEEE Malaysia Power Electron./Ind. Electron./Ind.; Appl. Jt. Chapter; IEEE Malaysia

Power and Energy Chapter

Conference name: 2012 IEEE Colloquium on Humanities, Science and Engineering Research, CHUSER 2012


Conference location: Kota Kinabalu, Sabah


ISBN: 9781467346153

DOI: 10.1109/CHUSER.2012.6504340


Abbreviated Source Title: CHUSER - IEEE Colloq. Humanit., Sci. Eng. Res.


Source: Scopus

Mohammady, M.a , Pourghasemi, H.R.a , Pradhan, B.b c

Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster-


(2012) Journal of Asian Earth Sciences, 61, pp. 221-236. Cited 18 times.


Modares University (TMU), Iran b Geospatial Information Science Research Centre (GISRC), University Putra Malaysia, 43400 Serdang, Selangor,

Malaysia c Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, 43400 Serdang, Selangor,

Malaysia

Abstract The purpose of the present study is to investigate the landslide susceptibility mapping using three statistical models

such as frequency ratio, Dempster-Shafer, and weights-of-evidence at southern part of Golestan province. At first,

landslide locations were identified from the interpretation of aerial photographs, and field surveys. A total of 392

landslides were mapped in GIS out of which 275 (70%) locations were chosen for the modeling purpose and the

remaining 118 (30%) cases were used for the model validation. Then layers of the landslide conditioning factors

were prepared. The relationship between the conditioning factors and the landslides were calculated using three

models. For verification, the results were compared with landslides which were not used during the training of the

models. Subsequently, the ROC (Receiver operating characteristic) curves and area under the curves (AUC) for

three landslide susceptibility maps were constructed and the areas under curves were assessed for validation

purpose. The validation results showed that the area under the curve for frequency ratio, Dempster-Shafer, and

weights-of-evidence models are 0.8013 (80.13%), 0.7832 (78.32%), and 0.7460 (74.60%) with prediction accuracy

0.7516 (75%), 0.7396 (73%), and 0.6998 (69%) respectively. The results revealed that frequency ratio model has

higher AUC than the other models. In general, all the three models produced reasonable accuracy. The resultant

maps would be useful for general land use planning. © 2012 Elsevier Ltd.

Author Keywords Dempster-Shafer; Frequency ratio; Geographic information systems (GIS); Iran; Landslides; Remote

sensing; Weights-of-evidence

Index Keywords accuracy assessment, aerial photograph, GIS, land use planning, landslide, mapping method, numerical

model, remote sensing, statistical analysis; Golestan, Iran

References




Akgun, A., Needet, T.

Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multi criteria decision

analysis


Akgun, A., Turk, N.


analysis


Akgun, A., Serhat, D., Fikri, B.






city (West Turkey)




fuzzy algorithm






The Application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko



Bai, S., Lu, G., Wang, J., Zhou, P., Ding, L.




Landslide susceptibility assessment of the Kraovany-Liptovski Mikulas railway case study



Landslide hazard and risk assessment: a case study from the Hlohovec-Sered landslide area in south-west

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(2012) Natural Hazards,

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Integration of Geological Datasets for Gold Exploration in Nova Scotia

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(2011) Natural Hazards, pp. 1-32.

Bui, D.T., Pradhan, B., Lofman, O., Revhaung, I., Dick, O.B.


system and GIS

(2011),

Computers & Geosciences, in press.


Landslide susceptibility assessment in the Hoa Binh Province of Vietnam: a comparison of the Levenberg-






(2012) Catena, 96, pp. 28-40.



models

(2012) Mathematical Problems in Engineering, pp. 1-26.

974638

Can, T., Nefeslioglu, H.A., Gokceoglu, C., Snomez, H., Duman, T.Y.

Susceptibility assessment of shallow earth flows triggered by heavy rainfall at three sub catchments by logistic

regression analyses








Kluwer, Dordrecht, A. Carrara, F. Guzzetti (Eds.)

Cervi, F., Berti, M., Borgatti, L., Ronchetti, F., Manenti, F., Corsini, A.

Comparing predictive capability of statistical and deterministic methods for landslide susceptibility mapping: a

case study in the northern Apennines (Reggio Emilia Province, Italy). Landslides

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Upper and lower probabilities induced by a multi valued mapping

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Lee, S., Choi, J.


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Probabilistic landslide susceptibility mapping in the Lai Chau province of Vietnam: focus on the relationship

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(2006) Natural Hazards & Earth System Sciences, 6, pp. 687-695.



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(Article ID 901095)

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Oh, H.J., Lee, S.





area


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Springer-Verlag, Berlin, Heidelberg, B. Pradhan, M. Buchroithner (Eds.)








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Remote sensing and GIS-based landslide hazard analysis and cross validation using multivariate logistic


(2010) Advances in Space Research, 45, pp. 1244-1256.

Pradhan, B.



Pradhan, B.



(2010) Journal of the Indian Society of Remote Sensing, 38 (2), pp. 301-320.

Pradhan, B.



(2011) Environmental and Ecological Statistics, 18 (3), pp. 471-493.

Pradhan, B.




Pradhan, B.



(2012),

Computers & Geosciences, in press.




(2010) Environmental & Engineering Geoscience, 16 (2), pp. 107-126.



Malaysia

(2010) Landslides, 7 (1), pp. 13-30.








(2010) Environmental Modelling & Software, 25, pp. 747-759.







(2010) Arabian Journal of Geosciences, 3 (3), pp. 319-326.

Pradhan, B., Oh, H.J., Buchroithner, M.F.



Pradhan, B., Sezer, A.E., Gokceoglu, C., Buchroithner, M.F.


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(2010) IEEE Transactions of Geoscience & Remote Sensing, 48, pp. 4164-4177.



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A comparative study of Dempster-Shafer and fuzzy models for landslide susceptibility mapping using a GIS: An




A GIS-based neurofuzzy procedure for integrating knowledge and data in landslide susceptibility mapping


Van Western, C.J.

Use of Weights of Evidence Modeling for Landslide Susceptibility Mapping

(2002), p. 21.

Varnes, D.J.


(1978) Landslides Analysis and Control. Special Report, 176, pp. 12-33.

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(2009) Engineer Geology, 108, pp. 237-251.

Wan, S., Lei, T.C.


Taiwan

(2009) Knowledge Based System, 2 (8), pp. 580-588.





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Yilmaz, I.




Yilmaz, I.



Yilmaz, I.

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey:conditional probability,



Yilmaz, I.


artificial neural networks (ANN)



Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a

comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms



Pradhan B.; Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, 43400 Serdang,

Selangor, Malaysia; email: [email protected]

ISSN: 13679120

DOI: 10.1016/j.jseaes.2012.10.005


Abbreviated Source Title: J. Asian Earth Sci.


Source: Scopus

Süzen, M.L.a , Kaya, B.Ş.a b

Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping

(2012) International Journal of Digital Earth, 5 (4), pp. 338-355. Cited 5 times.

a Geological Engineering Department, Middle East Technical University, Ankara, Turkey b Division of Engineering, Colorado School of Mines, Golden, CO, United States

Abstract The aim of this study was to determine how well the landslide susceptibility parameters, obtained by data-

dependent statistical models, matched with the parameters used in the literature. In order to achieve this goal, 20

different environmental parameters were mapped in a well-studied landslide-prone area, the Asarsuyu catchment in

northwest Turkey. A total of 4400 seed cells were generated from 47 different landslides and merged with different

attributes of 20 different environmental causative variables into a database. In order to run a series of logistic

regression models, different random landslide-free sample sets were produced and combined with seed cells.

Different susceptibility maps were created with an average success rate of nearly 80%. The coherence among the

models showed spatial correlations greater than 90%. Models converged in the parameter selection peculiarly, in

that the same nine of 20 were chosen by different logistic regression models. Among these nine parameters,

lithology, geological structure (distance/density), landcover-landuse, and slope angle were common parameters

selected by both the regression models and literature. Accuracy assessment of the logistic models was assessed by

absolute methods. All models were field checked with the landslides resulting from the 12 November 1999,

Kaynaşli Earthquake (Ms=7.2). © 2012 Taylor & Francis.

Author Keywords Asarsuyu; Geographical information systems (GIS); Landslide susceptibility; Logistic regression; Turkey

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Suzen M. L.; Geological Engineering Department, Middle East Technical University, Ankara, Turkey; email:

[email protected]

ISSN: 17538947

DOI: 10.1080/17538947.2011.586443


Abbreviated Source Title: Int. J. Digit. Earth


Source: Scopus

Pourghasemi, H.R.a , Mohammady, M.a , Pradhan, B.b


Basin, Iran

(2012) Catena, 97, pp. 71-84. Cited 31 times.


Modares University, Mazandaran, Iran b Faculty of Engineering, Department of Civil Engineering, Spatial and Numerical Modeling Research Group,

University Putra Malaysia, 43400, UPM, Serdang, Selangor Darul Ehsan, Malaysia

Abstract Landslide susceptibility mapping is essential for land use planning and decision-making especially in the

mountainous areas. The main objective of this study is to produce landslide susceptibility maps at Safarood basin,

Iran using two statistical models such as an index of entropy and conditional probability and to compare the

obtained results. At the first stage, landslide locations were identified in the study area by interpretation of aerial

photographs and from field investigations. Of the 153 landslides identified, 105 (≈. 70%) locations were used for

the landslide susceptibility maps, while the remaining 48 (≈. 30%) cases were used for the model validation. The

landslide conditioning factors such as slope degree, slope aspect, altitude, lithology, distance to faults, distance to

rivers, distance to roads, topographic wetness index (TWI), stream power index (SPI), slope-length (LS), land use,

and plan curvature were extracted from the spatial database. Using these factors, landslide susceptibility and

weights of each factor were analyzed by index of entropy and conditional probability models. Finally, the ROC

(receiver operating characteristic) curves for landslide susceptibility maps were drawn and the areas under the

curve (AUC) were calculated. The verification results showed that the index of entropy model (AUC. =. 86.08%)

performed slightly better than conditional probability (AUC. =. 82.75%) model. The produced susceptibility maps

can be useful for general land use planning in the Safarood basin, Iran. © 2012 Elsevier B.V.

Author Keywords Conditional probability; GIS; Index of entropy; Landslide; Remote sensing; Susceptibility

Index Keywords aerial photograph, altitude, decision making, drainage basin, field survey, geomorphological mapping, GIS, land

use planning, landslide, lithology, model validation, mountain region, probability, remote sensing, slope

angle, slope dynamics; Iran, Mazandaran, Safarood Basin

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ISSN: 03418162

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Abbreviated Source Title: Catena


Source: Scopus

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(2012) Computers and Geosciences, 46, pp. 317-329. Cited 31 times.

a Key Laboratory of Active tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing

100029, China b Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China c Department of Earth Sciences, Indian Institute of Technology Roorkee, Roorkee 247667, India

Abstract The main purpose of this study is to compare the following six GIS-based models for susceptibility mapping of

earthquake triggered landslides: bivariate statistics (BS), logistic regression (LR), artificial neural networks (ANN),

and three types of support vector machine (SVM) models that use the three different kernel functions linear,

polynomial, and radial basis. The models are applied in a tributary watershed of the Fu River, a tributary of the

Jialing River, which is part of the area of China affected by the May 12, 2008 Wenchuan earthquake. For this

purpose, eleven thematic data layers are used: landslide inventory, slope angle, aspect, elevation, curvature,

distance from drainages, topographic wetness index (TWI), distance from main roads, distance from surface

rupture, peak ground acceleration (PGA), and lithology. The data layers were specifically constructed for analysis

in this study. In the subsequent stage of the study, susceptibility maps were produced using the six models and the

same input for each one. The validations of the resulting susceptibility maps were performed and compared by

means of two values of area under curve (AUC) that represent the respective success rates and prediction rates. The

AUC values obtained from all six results showed that the LR model provides the highest success rate (AUC=80.34)

and the highest prediction rate (AUC=80.27). The SVM (radial basis function) model generates the second-highest

success rate (AUC=80.302) and the second-highest prediction rate (AUC=80.151), which are close to the value

from the LR model. The results using the SVM (linear) model show the lowest AUC values. The AUC values from

the SVM (linear) model are only 72.52 (success rates) and 72.533 (prediction rates). Furthermore, the results also

show that the radial basis function is the most appropriate kernel function of the three kernel functions applied

using the SVM model for susceptibility mapping of earthquake triggered landslides in the study area. The paper

also provides a counter-example for the widely held notion that validation performances of the results from

application of the models obtained from soft computing techniques (such as ANN and SVM) are higher than those

from applications of LR and BA models. © 2012 Elsevier Ltd.

Author Keywords Artificial neural networks; Bivariate statistics; Earthquake triggered landslides; Landslide susceptibility

mapping; Logistic regression; Support vector machine

Index Keywords BA model, Bivariate, Data layer, Kernel function, Landslide susceptibility mapping, Logistic regressions, Main

roads, Peak ground acceleration, Prediction rate, Radial basis, Radial basis functions, Slope angles, Softcomputing

techniques, Study areas, Surface ruptures, Susceptibility mapping, Susceptibility maps, SVM model, Thematic

data, Topographic wetness index, Tributary watersheds, Wenchuan Earthquake;

Earthquakes, Forecasting, Landslides, Lithology, Logistics, Mapping, Neural networks, Radial basis function

networks, Regression analysis, Soft computing; Support vector machines; artificial neural network, comparative

study, earthquake trigger, GIS, landslide, mapping method, modeling, regression analysis, Sichuan earthquake

2008, tributary, watershed; China, Fu River, Hubei

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Yilmaz, I.





Xu X.; Key Laboratory of Active tectonics and Volcano, Institute of Geology, China Earthquake Administration,

Beijing 100029, China; email: [email protected]

ISSN: 00983004

CODEN: CGEOD

DOI: 10.1016/j.cageo.2012.01.002


Abbreviated Source Title: Comput. Geosci.


Source: Scopus

Pourghasemi, H.R.a , Pradhan, B.b , Gokceoglu, C.c


watershed, Iran



Modares University (TMU), Tehran, Iran b Faculty of Engineering, Institute of Advanced Technology (ITMA), Spatial and Numerical Modeling Research

Group, University Putra Malaysia (UPM), 43400 Serdang, Selangor Darul Ehsan, Malaysia c Engineering Faculty, Applied Geology Division, Department of Geological Engineering, Hacettepe University,

Ankara, Turkey

Abstract The main goal of this study is to produce landslide susceptibility maps of a landslide-prone area (Haraz) in Iran by

using both fuzzy logic and analytical hierarchy process (AHP) models. At first, landslide locations were identified

by aerial photographs and field surveys, and a total of 78 landslides were mapped from various sources. Then, the

landslide inventory was randomly split into a training dataset 70 % (55 landslides) for training the models and the

remaining 30 % (23 landslides) was used for validation purpose. Twelve data layers, as the landslide conditioning

factors, are exploited to detect the most susceptible areas. These factors are slope degree, aspect, plan curvature,

altitude, lithology, land use, distance from rivers, distance from roads, distance from faults, stream power index,

slope length, and topographic wetness index. Subsequently, landslide susceptibility maps were produced using

fuzzy logic and AHP models. For verification, receiver operating characteristics curve and area under the curve

approaches were used. The verification results showed that the fuzzy logic model (89. 7 %) performed better than

AHP (81. 1 %) model for the study area. The produced susceptibility maps can be used for general land use

planning and hazard mitigation purpose. © 2012 Springer Science+Business Media B.V.

Author Keywords AHP; Fuzzy logic; GIS; Haraz; Iran; Landslide; Remote sensing; Susceptibility mapping

Index Keywords aerial photography, analytical hierarchy process, fuzzy mathematics, GIS, hazard assessment, land use

planning, landslide, mapping, remote sensing; Iran

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Source: Scopus

Saksa, M.a , Minár, J.b c

Assessing the natural hazard of gully erosion through a Geoecological Information System (GeIS): A case study

from the Western Carpathians

(2012) Geografie-Sbornik CGS, 117 (2), pp. 152-169. Cited 1 time.

a Soil Science and Conservation Research Institute, Gagarionova 10, 82 13 Bratislava 2, Slovakia b Department of Physical Geography and Geoecology, Comenius University in Bratislava, Faculty of Natural

Sciences, Mlynská dolina 1, 842 15 Bratislava 4, Slovakia c Department of Physical Geography and Geoecology, University of Ostrava, Faculty of Science, Chittussiho 10,

710 00 Ostrava - Slezská Ostrava, Czech Republic

Abstract The development of gullies represents a specific type of fluvial erosion that is triggered when surface runoff

becomes concentrated during extreme rainfall events. This study investigates a part of the Povazske' Valley and

Strážovské Mountains in Slovakia to assess the potential susceptibility and gully erosion hazard using a

Geoecological Information System (GelS). The landscape of the area was studied through primary field research

and the analysis of secondary materials. The GelS was then constructed in order to undertake specific

multidimensional statistical methods. These were used to assess the potential susceptibly and gully erosion hazard.

Those areas with the greatest potential susceptibility occur in Butkovska Furrow and the Podmaninska Hills whilst

those with the least potential susceptibility occur in Butkovska Klippes and the Tren6ianska Upland. The greatest

gully erosion hazard was identified on arable land in the Podmaninska Hills and on the river terraces in the Ilavska

Basin. It is clear that the majority of the permanent gullies within the study area are controlled by the course of

existing anthropogenic linear features such as unpaved field and forest roads and balks in arable land.

Author Keywords Abiocomplex; Geoecological information system; Gully erosion; Multidimensional statistical methods; Natural

hazard; Western carpathians

Index Keywords arable land, fieldwork, gully erosion, human activity, klippe, natural hazard, precipitation intensity, river

terrace, road, runoff; Carpathians, Slovakia, Strazovske Mountains, Trenciansky, Western Carpathians

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Saksa M.; Soil Science and Conservation Research Institute, Gagarionova 10, 82 13 Bratislava 2, Slovakia; email:

[email protected]

ISSN: 12120014


Abbreviated Source Title: Geogr. Sb. CGS


Source: Scopus

Althuwaynee, O.F.a , Pradhan, B.a , Lee, S.b



a Faculty of Engineering, Spatial and Numerical Modelling Laboratory, Dept. of Civil Engineering, University

Putra Malaysia, Serdang, Selangor Darul Ehsan 43400, Malaysia b Korea Institute of Geoscience and Mineral Resources (KIGAM), 92, Gwahang-no, Yuseong-Gu, Daejeon 305-

350, South Korea

Abstract The objective of this paper is to exploit the potential application of an evidential belief function model to landslide

susceptibility mapping at Kuala Lumpur city and surrounding areas using geographic information system (GIS). At

first, a landslide inventory map was prepared using aerial photographs, high resolution satellite images and field

survey. A total 220 landslides were mapped and an inventory map was prepared. Then the landslide inventory was

randomly split into a testing dataset 70% (153 landslides) and remaining 30% (67 landslides) data was used for

validation purpose. Fourteen landslide conditioning factors such as slope, aspect, curvature, altitude, surface

roughness, lithology, distance from faults, ndvi (normalized difference vegetation index), land cover, distance from

drainage, distance from road, spi (stream power index), soil type, precipitation, were used as thematic layers in the

analysis. The Dempster-Shafer theory of evidence model was applied to prepare the landslide susceptibility maps.

The validation of the resultant susceptibility maps were performed using receiver operating characteristics (ROC)

and area under the curve (AUC). The validation results show that the area under the curve for the evidential belief

function (the belief map) model is 0.82 (82%) with prediction accuracy 0.75 (75%). The results of this study

indicated that the EBF model can be effectively used in preparation of landslide susceptibility maps. © 2012

Elsevier Ltd.

Author Keywords EBF model; GIS; Kuala lumpur; Landslide susceptibility; Malaysia; Remote sensing

Index Keywords Aerial Photographs, Area under the curves, Belief function, Data sets, Dempster-shafer theory of evidence, Field

surveys, High resolution satellite images, Kuala lumpur, Land cover, Landslide susceptibility, Landslide

susceptibility mapping, Malaysia, Normalized difference vegetation index, Potential applications, Prediction

accuracy, Receiver operating characteristics, Soil types, Stream power index, Susceptibility maps, Thematic

layers, Validation results; Factor analysis, Geographic information systems, Lithology, Remote sensing, Statistical

tests, Surface roughness, Uncertainty analysis; Landslides; accuracy assessment, aerial photograph, altitude, field

survey, GIS, landslide, lithology, mapping, model test, model validation, numerical model, satellite imagery, slope

angle, surface roughness; Kuala Lumpur [Kuala Lumpur (ADS)], Kuala Lumpur [West Malaysia], Malaysia, West

Malaysia

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Pradhan B.; Faculty of Engineering, Spatial and Numerical Modelling Laboratory, Dept. of Civil Engineering,

University Putra Malaysia, Serdang, Selangor Darul Ehsan 43400, Malaysia; email: [email protected]

ISSN: 00983004

CODEN: CGEOD

DOI: 10.1016/j.cageo.2012.03.003




Source: Scopus

Turk, T.a , Gümüşay, U.b , Tatar, O.c

Creating infrastructure for seismic microzonation by Geographical Information Systems (GIS): A case study in the

North Anatolian Fault Zone (NAFZ)


a Department of Geomatics, Faculty of Engineering, Cumhuriyet University, 58140 Sivas, Turkey b Department of Geomatics, Faculty of Civil Engineering, Yildiz Technical University, 34220 Davutpaşa, Istanbul,

Turkey c Department of Geology, Faculty of Engineering and Architecture, Çanakkale Onsekiz Mart University, 17020

Çanakkale, Turkey

Abstract Although there are many studies for seismic microzonation in the literature, these studies have not covered the

whole seismic microzonation processes. Moreover, they have not sufficiently focused on the important subjects,

such as significance and use of aerial photos in seismic microzonation studies, data types used for seismic

microzonation, and integrating these data by GIS. This study suggests a GIS-based model that can be used for all

settlements that are at risk of natural disaster, with a view to taking necessary measures against such natural

disasters (especially earthquakes). This model was applied so as to take the measures needed for the town of Erbaa

located on the western part of the eastern segments of the North Anatolian Fault Zone (NAFZ), a settlement with

earthquake risk on the NAFZ. During creation of the system, geological, geotechnical data and data produced from

aerial photos were integrated and assessed on a GIS environment. The infrastructure for seismic microzonation was

created using this model. The potential areas for soil liquefaction were detected in the study area. Thus, the results

were produced to assist in seismic microzonation. © 2011 Elsevier Ltd.

Author Keywords GIS; North Anatolian Fault Zone; Photogrammetry; Seismic microzonation; Spatiotemporal analysis

Index Keywords Aerial photos, Data type, Earthquake risk, Geographical information systems, Geotechnical data, Natural

disasters, North Anatolian Fault Zone, Seismic microzonation, Spatiotemporal analysis, Study areas; Aerial

photography, Disasters, Earthquakes, Faulting, Photogrammetry, Soil liquefaction; Geographic information

systems; data processing, earthquake, fault zone, GIS, liquefaction, natural disaster, numerical

model, photogrammetry, risk assessment, seismic zone, soil, spatiotemporal analysis; Erbaa, Tokat, Turkey

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Turk T.; Department of Geomatics, Faculty of Engineering, Cumhuriyet University, 58140 Sivas, Turkey; email:

[email protected]

ISSN: 00983004

CODEN: CGEOD

DOI: 10.1016/j.cageo.2011.10.006




Source: Scopus

Akgun, A.a , Sezer, E.A.b , Nefeslioglu, H.A.c , Gokceoglu, C.d , Pradhan, B.e


fuzzy algorithm

(2012) Computers and Geosciences, 38 (1), pp. 23-34. Cited 41 times.

a Middle East Technical University, Mining Engineering Department, Ankara, Turkey b Hacettepe University, Computer Engineering Department, 06800 Beytepe, Ankara, Turkey c General Directorate of Mineral Research and Exploration, Department of Geological Research, 06520 Balgat,

Ankara, Turkey d Hacettepe University, Geological Engineering Department, 06800 Beytepe, Ankara, Turkey e Institute of Advanced Technology, Spatial and Numerical Modelling Laboratory, University Putra Malaysia,

43400 Serdang, Malaysia

Abstract In this study, landslide susceptibility mapping using a completely expert opinion-based approach was applied for

the Sinop (northern Turkey) region and its close vicinity. For this purpose, an easy-to-use program, "MamLand,"

was developed for the construction of a Mamdani fuzzy inference system and employed in MATLAB. Using this

newly developed program, it is possible to construct a landslide susceptibility map based on expert opinion. In this

study, seven conditioning parameters characterising topographical, geological, and environmental conditions were

included in the FIS. A landslide inventory dataset including 351 landslide locations was obtained for the study area.

After completing the data production stage of the study, the data were processed using a soft computing approach,

i.e., a Mamdani-type fuzzy inference system. In this system, only landslide conditioning data were assessed, and

landslide inventory data were not included in the assessment approach. Thus, a file depicting the landslide

susceptibility degrees for the study area was produced using the Mamdani FIS. These degrees were then exported

into a GIS environment, and a landslide susceptibility map was produced and assessed in point of statistical

interpretation. For this purpose, the obtained landslide susceptibility map and the landslide inventory data were

compared, and an area under curve (AUC) obtained from receiver operating characteristics (ROC) assessment was

carried out. From this assessment, the AUC value was found to be 0.855, indicating that this landslide

susceptibility map, which was produced in a data-independent manner, was successful. © 2011 Elsevier Ltd.

Author Keywords Geographical Information Systems (GIS); Landslide susceptibility; Mamdani fuzzy inference system; Sinop

(Turkey)

Index Keywords Assessment approaches, Data production, Data sets, Environmental conditions, Expert opinion, Fuzzy

algorithms, Fuzzy inference systems, Geographical information systems, Inventory data, Landslide

susceptibility, Landslide susceptibility mapping, Mamdani, MATLAB program, Receiver operating

characteristics, Sinop (Turkey), Statistical interpretation, Study areas; Algorithms, Fuzzy inference, Fuzzy

sets, Fuzzy systems, Geographic information systems, MATLAB, Rating, Soft computing; Landslides; assessment

method, data set, environmental conditions, fuzzy mathematics, geological mapping, GIS, landslide, topographic

mapping; Sinop [Turkey], Turkey

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ISSN: 00983004

CODEN: CGEOD

DOI: 10.1016/j.cageo.2011.04.012




Source: Scopus

Krejsa, M.

Stochastic modelling of fatigue crack progression using the DOProC method

(2012) Civil-Comp Proceedings, 99, . Cited 6 times.

Department of Structural Mechanics, Faculty of Civil Engineering, VSB - Technical University Ostrava, Czech

Republic

Abstract The objective of this paper is to indicate the current scope which might be covered by the new method - direct

optimized probabilistic calculation ("DOProC") in assessments of reliability of load carrying structures. DOProC

uses a purely numerical approach without any simulation techniques. This provides more accurate solutions to

probabilistic tasks, and, in some cases, such approach results in considerably faster completion of computations.

DOProC can be used now to solve efficiently a number of probabilistic computations. One part of theoretical

science and practice according probabilistic concept of DOProC method is focused on the probabilistic calculation

of fatigue crack propagation of structures and bridges subject to fatigue stress. Solution leads to the probabilities of

three basic random events in dependence on years of structure's operation and fatigue crack propagation. On the

basis of that calculation for each individual year, determined by analysis of reliability function, the dependence of

the failure probability on time of the bridge's operation is specified. When the limit reliability is known, it is

possible to determine times of the structure's inspections using conditional probability. © Civil-Comp Press, 2012.

Author Keywords Direct optimized probabilistic calculation; DOProC; Fatigue crack propagation; Inspection of

structure; Probability of failure; Random variable

Index Keywords Fatigue crack propagation, Random variables, Reliability analysis; Conditional probabilities, DOProC, Load-

carrying structure, Numerical approaches, Probabilistic computation, Probability of failure, Reliability

functions, Simulation technique; Cracks

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Krejsa M.; Department of Structural Mechanics, Faculty of Civil Engineering, VSB - Technical University

OstravaCzech Republic

Sponsors:

Publisher: Civil-Comp Press

Conference name: 11th International Conference on Computational Structures Technology, CST 2012

Conference date: 4 September 2012 through 7 September 2012

Conference location: Dubrovnik


ISBN: 9781905088546

DOI: 10.4203/ccp.99.113


Abbreviated Source Title: Civil-Comp Proc.


Source: Scopus

Ozdemir, A.



Department of Geological Engineering, Selcuk University, Konya, Turkey

Abstract Landslides cause heavy damage to property and infrastructure, in addition to being responsible for the loss of

human lives in many parts of the Turkey. The paper presents GIS-based spatial data analysis for landslide

susceptibility mapping in the regions of the Sultan Mountains, West of Akşehir, and central part of Turkey.

Landslides occur frequently in the area and seriously affect local living conditions. Therefore, spatial analysis of

landslide susceptibility in the Sultan Mountains is important. The relationships between landslide distributions with

the 19 landslide affecting parameters were analysed using a Bayesian model. In the study area, 90 landslides were

observed. The landslides were randomly subdivided into 80 training landslides and 10 test landslides. A landslide

susceptibility map was produced by using the training landslides. The test landslides were used in the accuracy

control of the produced landslide susceptibility map. Approximately 9% of the study area was classified as high

susceptibility zone. Medium, low and very low susceptibility zones covered 8, 23 and 60% of the study area,

respectively. Most of the locations of the observed landslides actually fall into moderate (17.78%) and high (77.78.

%) susceptibility zones of the produced landslide susceptibility map. This validates the applicability of proposed

methods, approaches and the classification scheme. The high susceptibility zone is along both sides of the Akşehir

Fault and at the north-eastern slope of the Sultan Mountains. It was determined that the surface area of the Harlak

and Deresenek formations, which have attained lithological characteristics of clayey limestone with a broken and

separated base, and where area landslides occur, possesses an elevation of 1,100-1,600 m, a slope gradient of 25°-

35° and a slope aspect of 22. 5°-157. 5° facing slopes. © 2011 Springer Science+Business Media B.V.

Author Keywords GIS; Landslide; Susceptibility; The Sultan Mountains; Turkey; Weights of evidence

Index Keywords accuracy assessment, Bayesian analysis, GIS, landslide, limestone, mapping, slope dynamics, slope failure, spatial

analysis, spatial data; Aksehir, Konya [Turkey], Turkey

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ISSN: 0921030X

DOI: 10.1007/s11069-011-9853-1




Source: Scopus


Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression


Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, P.O. Box

5003IMT, 1432 Ås, Norway

Abstract The purpose of this study is to evaluate and compare the results of applying the statistical index and the logistic

regression methods for estimating landslide susceptibility in the Hoa Binh province of Vietnam. In order to do this,

first, a landslide inventory map was constructed mainly based on investigated landslide locations from three

projects conducted over the last 10 years. In addition, some recent landslide locations were identified from SPOT

satellite images, fieldwork, and literature. Secondly, ten influencing factors for landslide occurrence were utilized.

The slope gradient map, the slope curvature map, and the slope aspect map were derived from a digital elevation

model (DEM) with resolution 20 × 20 m. The DEM was generated from topographic maps at a scale of 1:25,000.

The lithology map and the distance to faults map were extracted from Geological and Mineral Resources maps.

The soil type and the land use maps were extracted from National Pedology maps and National Land Use Status

maps, respectively. Distance to rivers and distance to roads were computed based on river and road networks from

topographic maps. In addition, a rainfall map was included in the models. Actual landslide locations were used to

verify and to compare the results of landslide susceptibility maps. The accuracy of the results was evaluated by

ROC analysis. The area under the curve (AUC) for the statistical index model was 0.946 and for the logistic

regression model, 0.950, indicating an almost equal predicting capacity. © 2011 Springer Science+Business Media

B.V.

Author Keywords Hoa Binh province; Landslide susceptibility; Logistic regression; Statistical index

Index Keywords accuracy assessment, digital elevation model, fieldwork, geostatistics, landslide, regression analysis, satellite

imagery, SPOT, topographic mapping; Hoa Binh, Viet Nam

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ISSN: 0921030X

DOI: 10.1007/s11069-011-9844-2




Source: Scopus

Park, S.a , Jeon, S.b , Kim, S.c , Choi, C.a

Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea

(2011) Landscape and Urban Planning, 99 (2), pp. 104-114. Cited 14 times.

a Department of Geoinformatic Engineering, Pukyung National University, 599-1 Daeyeon3-Dong, Nam-Gu,

Busan 608-737, South Korea b Korea Adaptation Center for Climate Change, Korea Environment Institute, 290 Jinheung-Ro, Eunpyong-Gu,

Seoul 122-706, South Korea

c Department of Environmental Data and Information Office, Ministry of Environment Republic of Korea, 88

Gwanmoon-Ro, Gwacheon-Si, Gyeonggi-Do 427-729, South Korea

Abstract This study compares land suitability index (LSI) maps created using a geographic information system (GIS) with

frequency ratio (FR), analytical hierarchy process (AHP), logistic regression (LR), and artificial neural network

(ANN) approaches to forecasting urban land-use changes. Various social, political, topographic, and geographic

factors were used as predictors of land-use change, including elevation, slope, aspect, distance from roads and

urban areas, road ratio, land use, environmental score, and legal restrictions. Then, LSI maps were created using

FR, AHP, LR, and ANN approaches, and significance and correlation were examined among the models using

relative operating characteristic (ROC), overall accuracy, and kappa analyses. The ROC analyses gave results of

0.940, 0.937, 0.922, and 0.891 for the LR, FR, AHP, and ANN LSI maps, respectively. The highest correlation was

found between the LR and AHP LSI maps (0.816911), and the lowest correlation was between the ANN and FR

LSI maps (0.759701). The ANN approach produced the highest overall accuracy at 92.3%, followed by 91.74% for

FR, 89.12% for AHP, and 88.93% for LR. In the kappa analysis, the highest K̂ statistic was 45.38% for FR,

followed by 40.84% for ANN, 30 representing the city area, the ANN method had a relatively high value of

71.71%, and the FR, LR, and AHP methods had similar accuracies of 57.68, 55.05, and 54.31%, respectively.

These results indicate that the FR, AHP, LR, and ANN approaches produced similar LSI maps for Korea. © 2010

Elsevier B.V.

Author Keywords Analytical hierarchy process; Artificial neural network; Frequency ratio; Geographic information system; Land

suitability index map; Logistic regression

Index Keywords Analytical Hierarchy Process, Artificial Neural Network, Frequency ratios, Geographic information, Land

suitability, Logistic regression; Aspect ratio, Environmental regulations, Forestry, Geographic information

systems, Hierarchical systems, Information systems, Land use, Maps, Regression analysis, Roads and streets;

Neural networks; artificial neural network, comparative study, frequency analysis, GIS, land use

change, logistics, prediction, remote sensing, topographic mapping, urban growth; South Korea

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Modeling the spatial dynamics of regional land use: the CLUE-S model


Wu, F.

A parameterized urban cellular model combining spontaneous and self-organising growth

(2000) GIS and Geocomputation, pp. 73-85.

Taylor & Francis, New York, P. Atkinson, D. Martin (Eds.)

Wu, F.

Calibration of stochastic cellular automata: the application to rural-urban land conversions

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Simulation of land development through the integration of cellular automata and multicriteria evaluation

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scale study Hendek region (Turkey)


Yilmaz, I.


comparison: a case study from Kat landslide (Tokat-Turkey)

(2009) Computers Geosciences, 35, pp. 1125-1138.

Zhou, W.

Verification of the nonparametric characteristics of backpropagation neural networks for image classification

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Wet Pub. Co.


Park S.; Department of Geoinformatic Engineering, Pukyung National University, 599-1 Daeyeon3-Dong, Nam-

Gu, Busan 608-737, South Korea; email: [email protected]

ISSN: 01692046

CODEN: LUPLE

DOI: 10.1016/j.landurbplan.2010.09.001


Abbreviated Source Title: Landsc. Urban Plann.


Source: Scopus

Erik, N.Y., Yilmaz, I.

On the use of conventional and soft computing models for prediction of gross calorific value (GCV) of coal

(2011) International Journal of Coal Preparation and Utilization, 31 (1), pp. 32-59. Cited 1 time.

Faculty of Engineering, Department of Geological Engineering, Cumhuriyet University, Sivas, Turkey

Abstract Gross calorific value (GCV) is an important characteristic of coal and organic shale; the determination of GCV,

however, is difficult, time-consuming, and expensive and is also a destructive analysis. In this article, the use of

some soft computing techniques such as ANNs (artificial neural networks) and ANFIS (adaptive neuro-fuzzy

inference system) for predicting GCV (gross calorific value) of coals is described and compared with the

traditional statistical model of MR (multiple regression). This article shows that the constructed ANFIS models

exhibit high performance for predicting GCV. The use of soft computing techniques will provide new approaches

and methodologies in prediction of some parameters in investigations about the fuel. Copyright © Taylor & Francis

Group, LLC.

Author Keywords ANFIS; ANN; Coal; Gross calorific value; Multiple regression; Soft computing

Index Keywords Adaptive neuro-fuzzy inference system, ANFIS, ANFIS model, ANN, Artificial Neural Network, Destructive

analysis, Gross calorific value, Multiple regressions, New approaches, Soft computing models, Softcomputing

techniques, Statistical models; Calorific value, Coal industry, Forecasting, Fuzzy inference, Fuzzy neural

networks, Fuzzy systems, Metal analysis, Regression analysis, Soft computing; Coal

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Yilmaz I.; Faculty of Engineering, Department of Geological Engineering, Cumhuriyet University, 58140 Sivas,

Turkey; email: [email protected]

ISSN: 19392699

DOI: 10.1080/19392699.2010.534683


Abbreviated Source Title: Int. J. Coal Preparation Utilization


Source: Scopus



(2010) Scientific Research and Essays, 5 (21), pp. 3206-3212. Cited 16 times.

Cumhuriyet University, Department of Geological Engineering, Faculty of Engineering, 58140, Sivas, Turkey

Abstract Subsidence in terrains is one of the most serious geological hazards because they can effect slopes and damage

engineering structures, settlement areas, natural lakes, and allow infiltration of contaminant into the groundwater.

Causes of underground mining activities such as subsidence, slope deformation, etc. are very important problems

in most countries and these types of impacts are very well known in coal, metal and other types of mining. The

main aim of this article is to provide technical documentation of environmental impacts related to underground

mining, to discuss significant impacts on the environment and land-use during and/or after underground mining

projects. Identification, measuring and mitigation of the effect of underground mining activities for practitioners is

also aimed in this short review article. This short review article will also be important in order to better understand

the nature and magnitude of displacements that can affect surface infrastructure. © 2010 Academic Journals.

Author Keywords Collapse; Slope deformation; Subsidence; Surface; Underground mining

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Yilmaz I.; Cumhuriyet University, Department of Geological Engineering, Faculty of Engineering, 58140, Turkey;


ISSN: 19922248


Abbreviated Source Title: Sci. Res. Essays

Document Type: Review

Source: Scopus

Yilmaz, I.a , Erik, N.Y.a , Kaynar, O.b

Different types of learning algorithms of artificial neural network (ANN) models for prediction of gross calorific

value (GCV) of coals

(2010) Scientific Research and Essays, 5 (16), pp. 2242-2249. Cited 10 times.

a Department of Geological Engineering, Faculty of Engineering, Cumhuriyet University, 58140 Sivas, Turkey b Department of Management Information System, Cumhuriyet University, 58140 Sivas, Turkey

Abstract Correlations are very significant from earliest days, in some cases, it is essential as it is difficult to measure the

amount directly, and in other cases, it is desirable to ascertain the results with other tests through correlations. Soft

computing techniques are now being used as alternative statistical tools, and new techniques such as; artificial

neural networks, fuzzy inference systems, genetic algorithms, etc. and their hybrid forms have been employed for

developing of the predictive models to estimate the needed parameters, in the recent years. Determination of gross

calorific value (GCV) of coals is very important to characterize coal and organic shales; it is difficult, expensive,

time consuming and is a destructive analysis. In this paper, use of different learning algorithms of artificial neural

networks such as MLP, RBF (exact), RBF (k-means) and RBF (SOM) for prediction of GCV was described. As a

result of this paper, all models exhibited high performance for predicting GCV. Although the four different

algorithms of ANN have almost the same prediction capability, accuracy of MLP has relatively higher than other

models. The use of soft computing techniques will provide new approaches and methodologies in prediction of

some parameters in the investigations about the fuels. © 2010 Academic Journals.

Author Keywords ANN; Coal; Gross calorific value; MLP; RBF; Soft computing

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Application of neural networks in forecasting engine systems reliability

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Yilmaz, I.

Indirect estimation of the swelling percent and a new classification of soils depending on liquid limit and cation

exchange capacity

(2006) Eng. Geol, 85, pp. 295-301.

Yilmaz, I.



(2009) Comput. Geosci, 35 (6), pp. 1125-1138.

Yilmaz, I.

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: Conditional probability,


(2009) Environmental Earth Sciences,

DOI: 10.1007/s12665-009-0394-9

Yilmaz, I.



(2010) Environ. Earth Sci, 60 (3), pp. 505-519.



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their comparison

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Improved GAP-RBF network for classification problems



Yilmaz I.; Department of Geological Engineering, Faculty of Engineering, Cumhuriyet University, 58140 Sivas,

Turkey; email: [email protected]

ISSN: 19922248


Abbreviated Source Title: Sci. Res. Essays


Source: Scopus

Prakash, A., Lokhande, R.D., Singh, K.B.

Impact of rainfall on residual subsidence in old coal mine workings

(2010) Journal of Environmental Science and Engineering, 52 (1), pp. 75-80. Cited 1 time.

Central Institute of Mining and Fuel Research, CSER, Barwa Road, Dhanbad - 826 001, Jharkhand, India

Abstract Subsidence over old coal mine workings can not be avoided if the underground workings are not fully filled.

Existence of fire, illegal mining operation and seasonal impact (rainfall) aggravate proneness of subsidence over

old workings. This paper deals with the causative factors of subsidence over old workings and its relation with

rainfall with reference to Jharia and Raniganj Coalfields, India during the year 2007. The impact of subsidence has

also been dealt in this paper.

Author Keywords Coal mine; Jharia and raniganj coalfields; Mine workings; Rainfall; Subsidence

Index Keywords rain; article, coal mining, geographic and geological phenomena, human, India, sediment; Coal Mining, Geologic

Sediments, Geological Phenomena, Humans, India, Rain

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Anon., Central Institute of Mining and Fuel Research, Dhanbad


Prakash A.; Central Institute of Mining and Fuel Research, CSER, Barwa Road, Dhanbad - 826 001, Jharkhand,

India; email: [email protected]

ISSN: 0367827X

PubMed ID: 21114112

Abbreviated Source Title: J. Environ. Sci. Eng.


Source: Scopus

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