impact assessment – methods and...

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences Christian-Albrechts-Universität zu Kiel

Integrated Impact Assessment and Land Use OptimisationUsing the Land Use Management Support System

(LUMASS)

Integrated Impact Assessment and Land Use OptimisationUsing the Land Use Management Support System

(LUMASS)

Alexander Herzig

Impact Impact assessmentassessment –– methodsmethods and and toolstoolsImpact Assessment of Land Use Changes – International Conference, April 6th – 9th, 2008

Christian-Albrechts-Universität zu Kiel

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences

1.1. IntroductionIntroduction

2.2. SpatialSpatial DecisionDecision Support Systems (SDSS):Support Systems (SDSS):FunctionalFunctional and and structuralstructural requirementsrequirements

3.3. TheThe Land Land UseUse Management Support SystemManagement Support System(LUMASS)(LUMASS)

4.4. Impact Impact assessmentassessment and land and land useuse optimisationoptimisation

5.5. ConclusionsConclusions

ContentContent

Integrated impact assessment and land use optimisation usingthe land use management support system (LUMASS)

Christian-Albrechts-Universität zu Kiel

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences

IntroductionIntroduction

Assessment of land use impact on landscape

Evaluation of impact assessment

Optimisation of land use patterns

SustainableSustainable land land useuse planningplanning

Introduction | SDSS – functional and structural requirements | LUMASS | Impact assessment and land use optimisation | Conclusions

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences Christian-Albrechts-Universität zu Kiel

1) according to Geoffrion (1983), Densham (1993)

1)

Christian-Albrechts-Universität zu Kiel

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences

looseloosecouplingcoupling

partialpartialintegrationintegration

fullfullintegrationintegration

DB: database; DS: decision dupport; GIS: geographical information system; UI: user interface

Levels of Levels of integrationintegration of SDSS of SDSS componentscomponents

Introduction | SDSS – functional and structural requirements | LUMASS | Impact assessment and land use optimisation | Conclusions

Christian-Albrechts-Universität zu Kiel

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences

Component Category / Model Results

Relief parameters catchment area; catchment border; slope; aspect

SCS curve number direct run-off; run-off coefficient; cascadeddirect run-off;

Soil erosion by water LS-factor; K-factor; C-factor; soil erosion

Surface matter transport sediment discharge; phosphorusdischarge; discharge points

Soil water budget groundwater recharge; annual soil waterexchange; nitrate leaching

Soil compaction pressure propagation within the soil profil; parcel-related mechanical strength

Soil related parameterseffective rooting depth; kf value; availablefield capacity; field capacity; air capacity; capillary ascent; mechanical stress, …

GIS Data management and visualisation maps, tables, charts, etc.

DS Multiobjective optimisation optimum areal resource allocation

Modelling

Analysis and assessm

entoflandscape

processes

FunctionalFunctional featuresfeatures of LUMASSof LUMASS

Introduction | SDSS – functional and structural requirements | LUMASS | Impact assessment and land use optimisation | Conclusions

Christian-Albrechts-Universität zu Kiel

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences

ArcMap.exeArcMap.exe► Geodata management

► Geodata analysis

► Geodata visualisation

LUMASS.exeLUMASS.exe► Configuration of model

parameters

► Logic of process models

► Central user interface –component integration

lp_solve51.dlllp_solve51.dll► Multiobjective

optimisation

Introduction | SDSS – functional and structural requirements | LUMASS | Impact assessment and land use optimisation | Conclusions

LUMASS LUMASS implementationimplementation

Christian-Albrechts-Universität zu Kiel

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences

Introduction | SDSS – functional and structural requirements | LUMASS | Impact assessment and land use optimisation | Conclusions

Impact Impact assessmentassessment

InfluenceInfluence of of slopeslope lengthlengthand and tillagetillage ononsoilsoil erosionerosion

Christian-Albrechts-Universität zu Kiel

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences

MinimisationMinimisation of of overalloverall soilsoil erosionerosion and and sedimentsediment dischargedischarge

WW – WB – WR 0,072

Winter wheat 0,115

Maize 0,505

Pasture 0,004

Introduction | SDSS – functional and structural requirements | LUMASS | Impact assessment and land use optimisation | Conclusions

Land Land useuse optimisationoptimisation

Land use USLE C factor

Scenario WW-WB-WR Winter wheat Maize Pasture

S1 >= 40 >= 20 >= 6 >= 9

S2 >= 35 >= 15 >= 6 >= 20

WW: Winter wheat | WB: Winter barley | WR: Winter rape

Land use scenarios - area shares in percent of total

?

Maize

Maize

Christian-Albrechts-Universität zu Kiel

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences

Introduction | SDSS – functional and structural requirements | LUMASS | Impact assessment and land use optimisation | Conclusions

ConclusionsConclusions

SDSS = GIS + models + decision support

Full integration approach is required forusability in daily land use planning

LUMASS is capable of - assessing land use impact on landscapes- optimising land use patterns

LUMASS contributes to sustainable land usemanagement

Landscape Ecology and Geoinformation SciencesDepartment of Geography – Faculty of Mathematics and Natural Sciences Christian-Albrechts-Universität zu Kiel

The EndThe End

herzig@geographie.uni-kiel.de