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National EnvironmentalResearch Institute
The Impact of Climate Change on Future Land-The Impact of Climate Change on Future Land-use in a Coastal Zone Planning Context use in a Coastal Zone Planning Context
30. June – 3. July 200830. June – 3. July 2008Perugia, ItalyPerugia, Italy
Henning Sten HansenHenning Sten Hansen
OverviewOverview• BackgroundBackground
• The climate change challengeThe climate change challenge
• Land-use modellingLand-use modelling
• Examples from Northern JutlandExamples from Northern Jutland
• Conclusion and further researchConclusion and further research
BackgroundBackground• Climate change has been put on the political agenda Climate change has been put on the political agenda
during the last 10 years and special attention is given to during the last 10 years and special attention is given to the impact of climate change in the coastal zonethe impact of climate change in the coastal zone
• Several EU financed projects like Norcoast and Forum Several EU financed projects like Norcoast and Forum Skagerrak emphasised the need for land-use simulation Skagerrak emphasised the need for land-use simulation to compare scenarios for various development to compare scenarios for various development perspectives and nevertheless the effects of global perspectives and nevertheless the effects of global warmingwarming
• The current research is a an extension of the work The current research is a an extension of the work carried out in Forum Skagerrakcarried out in Forum Skagerrak
Emissions scenarios - SRESEmissions scenarios - SRESCO2 emissions (Gt) CO2 concentration (ppm)
Scenario A1: Rapid economic growth, reduction in regional difference in income, population passing its peak in the middle of this century Rapid introduction of effective technologiesFI: Intensive use of fossil energy sourcesT : Focus on non-fossil energy sourcesB : Using as well fossil as non-fossil energy sourcesScenario A2: Continuous uneven economic development and unbroken population growth
Scenario B1: Rapid economic growth and but re- organisation the to service- and information society, introduction of resource effective technologies, the global population culminates about 2050, focus on sustainable developmentScenario B2: Moderate economic growth, continuous moderate growth on world population, slow technological development, focus on local strategies towards a sustainable society
Global warming and sea level riseGlobal warming and sea level rise
Temperature change ( 0C)
*
Sea level rise (m)
*
SRES - Special Report on Emissions Scenarios
*
Sea level rise in the Baltic SeaSea level rise in the Baltic Sea
Best case scenarioslr = 9 cm
Worst case scenarioslr = 90 cm
Climate change and spatial planningClimate change and spatial planning
Source: Danish Television NEWSSource: Danish Television NEWS
Potential flooding year 2100Potential flooding year 2100
LUCIA - LUCIA - LLand-and-UUse se CChange hange IImpact mpact AAnalysisnalysis
GIS based land-useProjection model
Input
Current land-useCurrent land-useZones and plansZones and plansSocio-economic dataSocio-economic data
Output
Scenarios :Scenarios :Future Future Land-useLand-use
IndicatorsIndicators
SustainabilitySustainability? ? ?? ? ?RespondRespond
LUCIA User InterfaceLUCIA User Interface
Project management Scenario management
Log file
Multi-level structureMulti-level structure• The model is structured The model is structured
hierarchically taking hierarchically taking multiple levels into accountmultiple levels into account
• Population and economic Population and economic development change the development change the demand for different the demand for different the active land-use types at the active land-use types at the regional levels whereas the regional levels whereas the precise location of change precise location of change is determined by local is determined by local conditionsconditions
Nationalpressures
Regional level
Local level
Conceptual land-use modelConceptual land-use model
Suitability Accessibility
Proximity Attractivity
Micro level driving forces
Socio-economic changes Macro level driving forces
Land-use (t + 1)
Land-use (t)
Zones
Zones
Zone
sZones
Driving forces for land-use changesDriving forces for land-use changes
• Demography (population development, Demography (population development, migration)migration)
• Economic developmentEconomic development• Technological development (information Technological development (information
society)society)• Spatial planning (environmental legislation, Spatial planning (environmental legislation,
energy policy)energy policy)• Environmental impacts (emissions, climate Environmental impacts (emissions, climate
changes)changes)• Values of the society (quality of life, concern Values of the society (quality of life, concern
about the environment)about the environment)
The model in mathematical termsThe model in mathematical terms
• Like in other models we calculate transition potentials Like in other models we calculate transition potentials for each cell from a set of suitability, accessibility, for each cell from a set of suitability, accessibility, proximity, attractivity and zoning status proximity, attractivity and zoning status
• The state for which a cell has the highest potential will The state for which a cell has the highest potential will be allocated to that cellbe allocated to that cell
PPLL(t+1) = C(t+1) = CLL11(t) * C(t) * CLL
22 * … C * … CLLnn * * ∑∑ ( w ( wLL
ii * F * FLLii ) )
where where P = Transition potentialP = Transition potentialC = Constraints (0 C = Constraints (0 oror 1) 1)F = Factors (values between 0.0 and 1.0)F = Factors (values between 0.0 and 1.0)w = individual weight factor between 0 and 1w = individual weight factor between 0 and 1L = land-use typeL = land-use type
Land-use 1990Land-use 1990
CORINE 1990
Building and Housing Register
ProtectedNature areas
SuitabilitySuitability• Suitability is based onSuitability is based on
– Existing land-useExisting land-use– Soil typeSoil type– TerrainTerrain
– More can be added !More can be added !
Suitability for residential
AccessibilityAccessibility
K
tyxK
αDA
1
1,,
LowLowHighHigh
Roads
AttractivityAttractivity• Price of land could be a Price of land could be a
possible indicator for the possible indicator for the attractiveness of a attractiveness of a specific locationspecific location
• The price of land for each The price of land for each Danish parcel is available Danish parcel is available from the Danish Property from the Danish Property RegisterRegister
Spatial planning zonesSpatial planning zones
Protected areas
Urban zones
Summer cottage zones
Active, passive and static classes Active, passive and static classes
Land-use scenariosLand-use scenarios• We have carried out two scenarios for land-use We have carried out two scenarios for land-use
development in Northern Jutlanddevelopment in Northern Jutland• The demand for traditional urban land-uses as housing, The demand for traditional urban land-uses as housing,
industry and service is based on ‘official’ population industry and service is based on ‘official’ population projections until 2030 and equal for the two scenariosprojections until 2030 and equal for the two scenarios
• Summer cottage development are different for the two Summer cottage development are different for the two scenariosscenarios
• The baseline scenario follows the level for summer The baseline scenario follows the level for summer cottage development 1990 – 2000cottage development 1990 – 2000
• The alternative scenario takes outset in the figues in the The alternative scenario takes outset in the figues in the baseline but with an 2% yearly increase in the period baseline but with an 2% yearly increase in the period 2005 – 2015 and then kept at this level2005 – 2015 and then kept at this level
Effect of sea level rise and storm surgeEffect of sea level rise and storm surge
• The cross-hatched polygonsThe cross-hatched polygonsrepresent sea level riserepresent sea level rise
• The hatched polygons representThe hatched polygons representcombined effect of sea level and combined effect of sea level and storm surgestorm surge
Future impacts of expected sea level riseFuture impacts of expected sea level rise
ConclusionConclusion
• The current research demonstrates how a land-The current research demonstrates how a land-use simulation model can be used to assess use simulation model can be used to assess the impacts of climate change on future urban the impacts of climate change on future urban development in the coastal zone – not at least development in the coastal zone – not at least the expansion of summer cottagesthe expansion of summer cottages
• The use of spatial scenarios facilitates The use of spatial scenarios facilitates discussions among professional planners and discussions among professional planners and defines a useful foundation for discussion of defines a useful foundation for discussion of spatial planning regulations with policy makers spatial planning regulations with policy makers as well as the general publicas well as the general public
Further researchFurther research
• The current simulations are based on business The current simulations are based on business as usual regarding urban developmentas usual regarding urban development
• Forthcoming research tries to make a stronger Forthcoming research tries to make a stronger integration of climate change scenarios and integration of climate change scenarios and land-use scenariosland-use scenarios
THANK YOU FOR YOUR ATTENTION !THANK YOU FOR YOUR ATTENTION !
E-Mail : E-Mail : [email protected]@land.aau.dk [email protected]@dmu.dk