sustainable development and disaster risk...

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SUSTAINABLE DEVELOPMENT AND DISASTER RISK REDUCTION:AN INSIGHT INTO GEOSPATIAL ROLES IN MALAYSIA

Khamarrul Azahari Razak1,2, PhD

1 UTM Razak Faculty of Technology and Informatics 2 Disaster Preparedness and Prevention Center Malaysia-Japan International Institute of TechnologyUniversiti Teknologi Malaysia (UTM) Kuala Lumpur

[email protected] I 019 3649495

National Geospatial Information Symposium (NGIS) 2018Geospatial in Environmental Sustainability I 10-11 July 2018 @ Putrajaya

BEFORE

AFTER

20

15

Sab

ah E

arth

qu

ake

1. SDG vs DRR

2. Roles of Geospatial

3. Multi-Hazard and Risk Assessment

4. Mainstreaming DRR into Development Planning in Malaysia

5. Concluding remarks

CONTENTS

@ [email protected]

Khamarrul Azahari Razak, PhD 1,2

1 Senior Lecturer, Research Manager, UTM RAZAK School of Engineering and Advanced Technology2 Research Member, Disaster Preparedness and Prevention CenterMalaysia-Japan International Institute of TechnologyUniversiti Teknologi Malaysia (UTM) Kuala Lumpur

Ph.D (Geosciences, Landslides, Remote Sensing)Faculty of Geosciences, Utrecht University, Utrechtwith cooperation of ITC-University of Twente, United Nation University UNU-DRM Center for Spatial and Risk Management, The Netherlands

National Involvement: Technical expert in the National Project (Slope Hazard and Risk Mapping) (2014-2015) appointed by Minerals and Geoscience Department Malaysia, Ministry of Natural Resources and Environment Malaysia; Consultants in Revision of National Slope Master Plan 2009-2023 Public Work Department; National Guidelines for Disaster Resilient Cities by PLANMalaysia; Resilience of Critical Infrastructure by CREAM CIDB

Membership: European Geosciences Union; Asia Oceania Geoscience Society; IEEE Geoscience and Remote Sensing Society; Asia-Pacific Network on Climate Science and Technology; Asia-Pacific Network for Global Change Research; Royal Institution of Surveyors Malaysia, Institution of Geospatial and Remote Sensing Malaysia, Malaysia Nature Society; Member of the Academy of Sciences Malaysia Disaster Risk Reduction Alliance Committee (DRR Alliance); Society for Engineering Geology and Rock Mechanics Malaysia (SEGRM)

Awards: Top 11 Young World Geomorphologists, awarded by the International Association of Geomorphology in Paris 2013 & Merdeka Awards Receipient Grant (Petronas, Shell, Exxon) 2016; Global Young Academy (GYA)

2016-2020Multi-hazard & Disaster Risk (Kyoto University, Japan); Earthquake and Cascading Geohazard (Taiwan), Co-seismic landslides (National Center of Excellence in Geology, Pakistan); Disaster Informatics (National Information Society Agency, Korea); Geospatial Business Continuity Planning (JICA); Risk Cities Initiative (RiskCities-i) TU Berlin, HFT Stuggart, UFZ Helmholtz Germany; Disaster Resilient (IRIDeS, Tohoku University, Japan)

MULTI GEO-HAZARD RESEARCH THEME

2015 - 2020

International Research Grants@ UTM-MJIIT & Japanese University Consortium

High Impact Joint Publications @ ISI publications & Policy Papers

Contract Research & Consultation@ Research application- & Problem solving-oriented

Professional Training & Workshop@ Integrated Disaster Risk Management

Post-Graduate Teaching & Supervision@ Master of Disaster Risk Management @ MJIIT I ASEAN & JAPAN

Advancing disaster risk reduction in a changing environment

@ [email protected]

Multi-Geohazard and Disaster Risk Laboratory (Geohazard Lab) @ Universiti Teknologi Malaysia (UTM) Kuala Lumpur

@ [email protected]

https://globalyoungacademy.net

The Global Young Academy (GYA) aims tobecome the voice of young scientists aroundthe world. To realise our vision, we develop,connect, and mobilise new talent from sixcontinents. We empower young researchersto lead international, interdisciplinary, andinter-generational dialogue with the goal tomake global decision making evidence-basedand inclusive.

GYA counts 171 alumni in addition to its 200members; together representing 77 countries.

Acknowledgement & Contribution !!!


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As core development strategies, 10 of the 17 SDGs with 25 targets are identified relatedto disaster risk reduction (DRR). Given extreme climate and rapid urbanization, it iscrucial for us to better cope the disaster capacity, assessing our increased exposure tonatural hazards and advancing our understanding disaster by science and technology.

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https://www.preventionweb.net/drr-framework/sendai-framework-monitor/common-indicators

Integrated monitoring of the global targets of the Sendai Framework and the Sustainable Development Goals


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A set of significantdevelopment challenges can be mapped, analyzed, and modelled within a geographic context.

The 2030 Agenda specificallydemands the need for highquality, timely, reliable and disaggregated data, including earth observation, geospatial information and Big Earth Data analytics.


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The global indicator framework wasdeveloped by the Inter-Agency andexpert Group on SDG Indicators (IAEG-SDGs) and adopted by the UnitedNations Statistical Commission inMarch 2017 and by the United NationsGeneral Assembly in July 2017. Thisset of indicators is intended for thereview of progress at the global level.

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Geospatial data & information has been mapped to target, goals, and indicators of SDGs


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GEO

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and

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https://www.earthobservations.org/documents/publications/201703_geo_eo_for_2030_agenda.pdf


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A modern and advanced geospatial technology has great potential to help in providing accurate up-to-date topographic data, land-use-land-cover changes, anthropogenic activities, and elements-at-risk.

Advancement of satellite data (positioning, earth observation, and communication) coupling with GIS-oriented modelling and Big Data analytics-based sophisticated algorithms on machine and deep-learning techniques made the processing, analysis, and assessment

performed in real-time with high accuracy and efficiency.


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https://www.unisdr.org/we/inform/disaster-statistics

“Access to information is critical to successful disaster risk management. You cannot MANAGE what you cannot MEASURE”

@ [email protected]


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Assessing environmental and

socioeconomic impact, as a result of

development in an objective and

quantitative way is very challenging,

even with spatial and temporal

characterization remained elusive in

changing environment

The urbanization rate in Malaysia is predicted up to 85% in 2040 with a

population reaching about 46 million. There is an urgent need to monitor our

current and future development to be more sustainable and resilient.


“The more governments, UN agencies, organizations, business and civil society understand

risk and vulnerability, the better equipped they will be to mitigate disasters when they strike and

save more lives” – Ban Ki-moon, ex-United Nations Secretary-General


“Development drivers are stronger driver of the increase of risk than hazards themselves. In

order to limit economic losses in the future, we need to improve urban planning and make

economic growth resilient” – Jerry Velasquez, ex-UNISDR’s Chief of Advocacy and Outreach

In which

P(T│HS) = the temporal probability of a certain hazard scenario (HS);

P(S│HS) = the spatial probability that a particular pixel in the susceptible

areas is affected given a certain hazard scenario;

A(ER│HS) = the quantification of the amount of exposed elements at risk,

given a certain hazard scenario (e.g. expressed as the number or

economic values); and

V(ER│HS) = the vulnerability of elements at risk given the hazard intensity

under the specific hazard scenario

QUANTITATIVE HAZARD RISK ASSESSMENT

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Van

Wes

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(20

15

)

STA

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OLD

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INV

OLV

EMEN

T


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A: Input dataB: Susceptibility assessmentC: Hazard assessmentD: Exposure analysisE: Vulnerability assessmentF: Risk assessmentG: Quantitative risk

•Economic risk•Direct•Indirect

•Population risk•Societal risk•Individual risk

H: Qualitative riskI: Risk reduction measures

Co

rom

inas

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@ [email protected]

@ [email protected]

1

2

43

5 6

7

8

10

9

1. Airborne LIDAR; 2. Terrestrial LIDAR, 3. GPS Survey, 4. Mobile GIS Field Mapping, 5. Data Processing, 6. LIDAR-Landslide Processing,

7. Landslide Inventory Mapping, 8. Landslide susceptibility Analysis, 9. Landslide Hazard Assessment, 10. Landslide Risk Assessment

National Initiative - Landslide Hazard and Risk Mapping Project - 2014-2016

Raz

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(20

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)


SEM

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AN

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http://www.alliedmarketresearch.com/lidar-market

Global LiDAR Market (2013 – 2020)

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STUDY AREA @ KUNDASANG, SABAH

7 April 2015

20 July 2015


Video Profile/VIDEO ACTIVITIES BUMITOUCH 2014.avi


New capability of modern

LiDAR system for recording

full-waveform spatial data

Hö

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Razak et al (2014)

High density airborne LIDAR is a powerful tool for

mapping, monitoring & modelling of the disaster

prone area

Topographic Laser Scanning System (LiDAR) is the most advanced geospatial technology in the last millennium

Courtesy of BUMITOUCHplmc


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“…Notable here is the amount of timber in the river – to me this suggests that there must have been quite extensive landslides in the forested areas on the lower slopes of the mountain. I have not seen detailed reports or images of these landslides.”


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Vu

lnera

ble

Cit

ies in

Pen

insu

lar

Mala

ysia

Sou

rce:

Nat

ion

al P

hys

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Pla

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Fed

eral

Dep

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ent

of

Tow

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Co

un

ty P

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sula

r M

alay

sia

@ [email protected]

Mainstreaming Disaster Risk Reduction (DRR) into Development Plan/ControlNational Physical Plan (National), State Structural Plan (State), District

Development Plan (District), Special Development Plan (Specific Areas)


UTM RAZAK School of Engineering and Advanced Technology

Disaster Preparedness and Prevention Center, MJIIT

Universiti Teknologi Malaysia (UTM) Kuala Lumpur

R = f (D,A,T)

An Integrated Research Framework“Disaster Resilience Model”

Where R: Resilience; D: Damage = f (H,E,V); A: Human Activities; T: Time

where D = f (H,E,V)

R = f (H,E,V,A,T)Prevention Recovery

Mapping potential debris flow torrents

Analyzing regional susceptibility zones for debris flow

Inventory of possible affected zones/community & Elements-at-risk

Assessing debris flow hazard & risk

Disaster Info. (database development

Updating & dissemination)

Warning

Evacuation

Disaster analysis

Rainfall based model

Early warningsystem

Rainfall >Threshold

When?

(Monitoring & Prediction)

Engineering Landuse restriction

Residential Relocation Evacuation**

Where (spatial)?

Where (temporal) & What (risk level)?

What & How (vulnerability)?

Framework for Sediment Disaster Management

@ [email protected]


ISL 2004

Elements

at risk

data

collectio

n.

Summary

ELEMENTS AT RISK

FOR MULTI-HAZARD

AND DISASTER

RISK

Van

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Sustainable and Resilience for Critical Infrastructure Construction in Malaysia

National Disaster Management Agency


2016 EBC-K Project to Facilitate ICT Application in the Asia-Pacific

ICT & Disaster Resilient @ Malaysia 2017-2018EBCK - Extra Budgetary Contribution from the Republic of Korea

Project to Facilitate ICT Applications in the Asia Pacific

Community-based Disaster Informatics for Building Resilient Cities

http://kl.utm.my/ebck-ict-disaster

The Selangor Government’s

mission statement is to become a smart state

by 2025.

The blueprint outlines twelve key dimensions

of what Selangor considers as a priority

to turn itself into a smart state with the key aim of improving

citizen’s quality of life.

34

12 Key Dimensions Of Selangor Smart State

An Integrated research ICT-Disaster Resilient (EBC-Korea) Project significantly supports the Selangor Smart 2025 initiative




http://kl.utm.my/ebck-ict-disaster/

Met

amo

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ite

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re

METAMODEL-BASED GEOSPATIAL MULTI DISASTER PROTOTYPE SYSTEM (MGeoMR)

http://kl.utm.my/ebck-ict-disaster

Disaster Simulation Day 2018Full-scale I Command Post Exercise (CPX-Idaman)

27 February 2018 @ Serendah, Selangor

Jointly organized by:-

UTM RAZAK School of Engineering and Advanced Technology

Universiti Teknologi Malaysia (UTM) Kuala Lumpur

Disaster Management Unit, State Secretary Office of Selangor

Selangor State Disaster Management Committee

Hulu Selangor District Disaster Management Committee

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ICT & Disaster Resilient I EBCK Project I UTM Kuala Lumpur - Asia Pacific Telecommunity (APT) & National Information Society Agency (NIA), Republic of Korea I 2017-2018



http://kl.utm.my/ebck-ict-disaster/

Landslide Disaster Simulation Drill @ Serendah, Selangor

http://kl.utm.my/ebck-ict-disaster/cpx-idaman/

http://kl.utm.my/ebck-ict-disaster/cpx-idaman/

PUBLIC

HELP

MUTUAL

HELP

SELF

HELP


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Submitted to Federal Ministry of Education and Research (BMBF) Germany “Sustainable Development of Urban Regions”

41


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Submitted to Federal Ministry of Education and Research (BMBF) Germany “Sustainable Development of Urban Regions”

Three main components:

1) Technical assessment (hazard and risk)

2) Decision making (use cases)

3) Data management

New Approach : Multi-Hazard & Disaster Risk Management

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RiskChanges: Spatial Decision Support System for the analysis of

changing multi-hazard risk, based on possible future scenarios and

risk reduction alternatives

to analyse the effect of risk

reduction planning alternatives on reducing the risk now and in the future, and support decision

makers in selecting the best alternatives.

Users:

Civil protection organizations.

Organizations with the mandate to design structural risk

reduction measures

Planning organizations

Complexity of disaster – multisectoral & disciplinary group - special need & interest Action oriented program – scientific-based decision support – transdisciplinary approach

Sendai Framework for Disaster Risk Reduction 2015-2030: Progress & Challenges

@ [email protected]


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Geospatial communities have been significantly contributing to the sustainabledevelopment. A paradigm shift into transdisciplinary approach for addressing complexityof future disaster and climate risk. An insight into roles and contribution of geospatialtowards making our cities more resilient and developing sustainable society in the future.

Global policy instruments, e.g. SDGs and SFDRR interlinkages made DRR as a cross-cutting issue in the SDGs. DRR, as an integral part of social and economic development,is a critical factor if development is to be sustainable for the near future.

It is imperative to establish persistent policy, institutional and methodologicalframework with the support of geospatial intelligence data for a comprehensivedisaster risk analysis, assessment and reduction.

CONCLUSION

Khamarrul Azahari Razak, PhDUTM RAZAK School of Engineering and Advanced Technology

Universiti Teknologi Malaysia

54100 Jalan Sultan Yahya Petra

Kuala Lumpur

Tel: +6019-3649495

Email: [email protected]; [email protected]

Web: http://www.razakschool.utm.my/khamarrul

Visiting address:-

Room no. 32, Level 6,

Malaysia-Japan International Institute of Technology (MJIIT)

Universiti Teknologi Malaysia

Jalan Sultan Yahya Petra, Kuala Lumpur

THANK YOU FOR YOUR ATTENTION

Disaster Preparedness and Prevention CenterMalaysia-Japan International Institute of TechnologyUniversiti Teknologi Malaysia (UTM) Kuala Lumpur

Geospatial Intelligence Research InitiativeCascading GeoHazards Research Initiative

UTM RAZAK School of Engineering and Advanced TechnologyUniversiti Teknologi Malaysia (UTM) Kuala Lumpur

54100 Jalan Sultan Yahya Petra, Kuala Lumpur

http://mail.kl.utm.my/desknow/mail.do?Action=Compose&[email protected]&Rnd=13d005c1c1c&Vs=19403CE

mailto:[email protected]

http://www.razakschool.utm.my/khamarrul

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