Impact of climate change on hydrological extremes in Belgium prof. dr. ir. Patrick Willems...
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Transcript of Impact of climate change on hydrological extremes in Belgium prof. dr. ir. Patrick Willems...
Impact of climate change on hydrological extremes in Belgium
prof. dr. ir. Patrick WillemsK.U.Leuven – Hydraulics Division
Hydrological climate change impact research for Belgium
• Waterbouwkundig Laboratorium : impacts on high and low flows
BelSPO: CCI-HYDRclimate change scenariosfor hydrological impact analysisincl. extremes
• INBO: impact on natureincl. comparison with KNMI’06 scenarios
• VMM:− impacts on floods (non-navigable rivers 1st
category)− update urban drainage design guidelines
• MIRA-S & NARA 2009
• BelSPO: SUDEM-CLI: interfacing climatology –hydrology – ecology
• EU-FP7: Theseus: correlation with storm surge and wave scenarios Belgian Coast
Based on simulation runs by global and regional climate models & IPCC SRES greenhouse gas emission scenarios till 2100
DMI 25 km
Climate change scenarios for Belgium
GCM
RCM
31 runs (A2,B2) & 26 runs (A1B) by 10 RCMs
17 runs by ECHAM5 (A1B)
IPCC AR4: 27 runs by 21 GCMs (A2, A1B, B1)
Greenhouse gas emission scenarios
IPCC SRES, 2001 & 2007:
• Validation regional climate model runs for control period (monthly temperature, 1961-1990):
Climate change scenarios for Belgium
• Increase in monthly temperature:
winter:+1.5 to +4°C
summer:+2 to +7°C
Climate change scenarios for Belgium
GCMs 1961-1990 : RCMs 1961-1990 :
GCMs 2071-2100 : RCMs 2071-2100 :
zomers droger
winters natter
Climate change scenarios for Belgium• Change in monthly precipitation:
• Change in monthly precipitation:
winter:up to +60%
: increase in winter
summer:a.l.a. -70%
: decrease in summer (lower no. of small rain storms)
no. wet days summer:
a.l.a. -50%
Climate change scenarios for Belgium
• Change in precipitation– Intensity increase for most extreme storms
most extreme storm in 2 years
Climate change scenarios for Belgium
• Change in precipitation– Intensity increase for most extreme storms
most extreme storm in 10 years
Climate change scenarios for Belgium
Historical climate trends for Belgium
• Historical trend analysis– DJF rainfall extremes Uccle (10 min -> seasonal) 1898 –2005:
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
year [-]
-50
-40
-30
-20
-10
0
10
20
30
ano
mal
y in
ext
rem
es [
%]
w inter, 10-year w indow
w inter, 15-year w indowlong-term average
approxim ate cyclic varia tions
cyclic varia tions p lus c lim ate change
clim ate change effect
Multidecadal Multidecadal climate oscillationclimate oscillation
Global warming Global warming impactimpact
0.95
1
1.05
1.1
1.15
1.2
1.25
1.3
1.35
1960 1970 1980 1990 2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
Per
turb
atio
n f
acto
r
SHMI-MPI-A2
SHMI-MPI-B2
CNRM-DE6DMI-ECC-A2
DMI-ECC-B2CNRM-DE5
ICTP-A2HS2 / HS3 / CNRM-DC9
SHMI-HC-B2ETH / HS1
CNRM-DE7 / SHMI-HC22GKSS-A2
GKSS-sn-A2 / METNO-A2SHMI-HC-A2
ICTP-B2DMI25 / KNMI
METNO-B2
Control period(1960-1990)
Scenario period(2070-2100)
Regional climate model simulations
Historical trend 30 years blocksize
Historical trend 30 years blocksize: part c.c. increase
• Consistency check with historical trend analysis– Example: Winter (DJF), daily rainfall extremes:
High = Wet
Mean = Mild
Low = DryCurrent
Climate change scenarios for Belgium
• Regional differences– Rainfall change about 10% higher along the Belgian coast
More wet in winter:
Climate change scenarios for Belgium
High = WetMean = MildLow = Dry
• Regional differences– Rainfall change about 10% higher along the Belgian coast
Less dry in summer:
Climate change scenarios for Belgium
High = WetMean = MildLow = Dry
Statistical downscaling
Large Scale
Hydrological scale
Dynamical downscaling
Statistical downscaling
General Circulation Models
(GCMs)
Regional Climate Models
(RCMs)
150 – 300 km; seasonally – monthly
± 50 km; weekly - daily
± 25 km; daily
river catchment; hourly
Month i Month i Month i
Wet day frequencyperturbation
Wet day intensityperturbation
Combined perturbation
Time series
Time series
• Day -> hour (river), 10-min (sewer system)• Based on quantile perturbations:
– change in rain storm frequency and rain storm intensity– dependent on return period rainfall intensity, season, weather type, …
• Time horizons till 2030, 2050, …, 2100
Perturbation tool
High = Wet
Mean = Mild
Low = Dry
DailyHourly10min
Perturbation tool
• Preserves physical consistency (dependency) between seasons and variables (precipitation, temperature and ETo)
Day-Winter
0.4
0.6
0.8
1
1.2
1.4
0.8 1 1.2 1.4 1.6 1.8
Eto Perturbation [-]
Rain
fall
Pert
urb
ation [
-]
High Mean Low
Day-Summer
0.4
0.6
0.8
1
1.2
1.4
0.8 1 1.2 1.4 1.6 1.8
Eto Perturbation [-]
Rai
nfal
l Per
turb
atio
n [-
]
ETo change factor ETo change factor
Pre
cip.
cha
nge
fact
or
Pre
cip.
cha
nge
fact
or
Winter Summer
High Mean Low
Perturbation of rainfall series
• Change in rainfall IDF-relations:– Based on Uccle 10 min rainfall series 1898-2005:
1 month
1 year10 years
100 years
Return period:
Perturbation of rainfall series
• Change in rainfall IDF-relations:– Daily rainfall results, climate model runs:
1 month
1 year10 years
100 years
Return period:
Perturbation of rainfall series
• Change in rainfall IDF-relations:– 10 min downscaling results, climate model runs:
1 month
1 year10 years
Return period:
Climate change impact on urban drainage
• Change in rainfall IDF-relations:– High, mean and low climate scenarios:
10 years
1 year
1 month
100 years 50 years
2 years
2 months
Perturbation of rainfall series
• Change in rainfall IDF-relations:– Shift in return period high climate scenario:
Perturbation of “design” storms
• Change in rainfall IDF-relations:– Change in composite storms, example T = 2 years:
High
Mean
Low
Hydro-impact modelling
Rainfall, ETo
Rainfall-runoff
River hydrodynamics
Physico-chemical river water quality
NAM, PDM: conceptual
Spatially distributed:SCHEME (KMI/IRM), MIKE-SHEWetSpa (VUB)
MIKE11InfoWorks-RS + quasi 2D overstromingen
Spills
Calculation nodesnumerical scheme
Right floodplainLeft floodplain
Bridge over tributary(culvert + weir)
MAIN RIVER
TRIBUTARY
MIKE11 EcoLab
• Impact of climate scenarios on hourly runoff peaks:
Hydrological impacts
-40
-20
0
20
40
60
80
0.1 1 10 100
Terugkeerperiode (jaar)
vari
atie p
iekafa
voere
n (%
)) )
High Mean Low
rainfall-increase ETo-
increase
High Mean Low
• Impact of climate scenarios on hourly runoff peaks:
Hydrological impacts
Demer.shp-74 - -71-70 - -56-55 - -44
-43 - -34-33 - -19
(-70%) - (-50%)(-49%) - (-30%)(-29%) - (-22%)(-21%) - (-13%)(-12%) - 0
(-14%) - (-13%)(-12%)(-11%) - (-9%)(-8%) - (-3%)(-2%) - 3%
01% - 22%23 %- 24%25 %- 32%33% - 37%
Low scenario, Runoff peaks
Mean scenario, Runoff peaks
High scenario, Runoff peaks
Climate 2100, Flanders
RUNOFF PEAKS
Demer.shp-74 - -71-70 - -56-55 - -44
-43 - -34-33 - -19
(-70%) - (-50%)(-49%) - (-30%)(-29%) - (-22%)(-21%) - (-13%)(-12%) - 0
(-14%) - (-13%)(-12%)(-11%) - (-9%)(-8%) - (-3%)(-2%) - 3%
01% - 22%23 %- 24%25 %- 32%33% - 37%
Low scenario, Runoff peaks
Mean scenario, Runoff peaks
High scenario, Runoff peaks
Climate 2100, Flanders
RUNOFF PEAKS
Change in flood risks is highly uncertain Runoff peaks due to rainfall/ETo change decrease in low
scenario and increase in high scenario (up to 35%) Major influence due to sea level rise (Scheldt tidal river)
CLIMAR
• Sea level rise:
+20cm to +2m
Climate change scenarios for Belgium
about 20cm past 100 years
• Flood map current climate:
T = 100 yearCurrent climate
Impacts on floods
T = 100 yearHigh scenario
• Flood map after climate scenarios:
Impacts on floods
High = Wet
• Impact of climate scenarios on low flows extremes:
Hydrological impacts
Demer.shp-74 - -71-70 - -56-55 - -44
-43 - -34-33 - -19
Low scenario, Runoff peaks
Mean scenario, Runoff peaks
High scenario, Runoff peaks
Climate 2100, Flanders
LOW FLOW PEAKS
(-88%)(-87%) - (-68%)(-67%) - (-63%)(-62%) - (-55%)(-54%) - (-48%)
(-56%) - (-55%)(-54%) - (-52%)(-51%) - (-47%)(-46%) - (-40%)(-39%) - (-30%)
(-35%) - (-32%)(-31%) - (-24%)(-23%) - (-21%)(-20%) - (-15%)(-14%) - (-10%)
Low scenario
Mean scenario
High scenario
Demer.shp-74 - -71-70 - -56-55 - -44
-43 - -34-33 - -19
Low scenario, Runoff peaks
Mean scenario, Runoff peaks
High scenario, Runoff peaks
Climate 2100, Flanders
LOW FLOW PEAKS
(-88%)(-87%) - (-68%)(-67%) - (-63%)(-62%) - (-55%)(-54%) - (-48%)
(-56%) - (-55%)(-54%) - (-52%)(-51%) - (-47%)(-46%) - (-40%)(-39%) - (-30%)
(-35%) - (-32%)(-31%) - (-24%)(-23%) - (-21%)(-20%) - (-15%)(-14%) - (-10%)
Low scenario
Mean scenario
High scenario
Low flow risks increase significantly in all scenarios May increase problems rel. water quality, navigation, drinking
water production, irrigation, ecological state river valley, ...
Demer.shp-74 - -71-70 - -56-55 - -44
-43 - -34-33 - -19
Low scenario, Runoff peaks
Mean scenario, Runoff peaks
High scenario, Runoff peaks
Climate 2100, Flanders
LOW FLOW PEAKS
(-88%)(-87%) - (-68%)(-67%) - (-63%)(-62%) - (-55%)(-54%) - (-48%)
(-56%) - (-55%)(-54%) - (-52%)(-51%) - (-47%)(-46%) - (-40%)(-39%) - (-30%)
(-35%) - (-32%)(-31%) - (-24%)(-23%) - (-21%)(-20%) - (-15%)(-14%) - (-10%)
Low scenario
Mean scenario
High scenario
Demer.shp-74 - -71-70 - -56-55 - -44
-43 - -34-33 - -19
Low scenario, Runoff peaks
Mean scenario, Runoff peaks
High scenario, Runoff peaks
Climate 2100, Flanders
LOW FLOW PEAKS
(-88%)(-87%) - (-68%)(-67%) - (-63%)(-62%) - (-55%)(-54%) - (-48%)
(-56%) - (-55%)(-54%) - (-52%)(-51%) - (-47%)(-46%) - (-40%)(-39%) - (-30%)
(-35%) - (-32%)(-31%) - (-24%)(-23%) - (-21%)(-20%) - (-15%)(-14%) - (-10%)
Low scenario
Mean scenario
High scenario
• Drier summer climate can have severe impacts• Mean water availability in Flanders and Brussels is very
limited: 1480 m3/(person.year)– International standards: <2000 “zeer weinig”, <1000 “ernstig
watertekort”– Causes:
• High population density:– high urbanisation, pavements: increased surface runoff, decreased
infiltration– high drainage in agriculture– groundwater abstractions for drinking water supply (region of Waregem:
groundwater table levels >100m lower than natural conditions)• (in Scheldt basin): less than half of available water is due to local rainfall• strong dependency on neighbouring regions (The Netherlands: Meuse and canal
Gent-Terneuzen)
Hydrological impacts
Climate change impact on urban drainage
• Change in overflow frequencies storage + infiltration facilities:– Reservoir model:
Climate change impact on urban drainage
• Change in overflow frequencies storage + infiltration facilities:– Change in storage capacity needed:
constant through-flow [l/(s.ha)]:
Return period overflow [years]:
0.5 1 2 5 10 20
50 +35% +18% +17% +29% +24% +33%
40 +25% +16% +17% +25% +31% +27%
30 +18% +13% +12% +30% +29% +25%
25 +18% +14% +12% +31% +25% +22%
20 +16% +18% +13% +27% +26% +21%
15 +17% +20% +11% +22% +22% +13%
10 +17% +20% +19% +20% +24% +17%
5 +13% +17% +17% +18% +24% +20%
2 +13% +14% +14% +15% +30% +18%
1 +9% +10% +10% +10%
Climate scenarios for Belgium till 2100:
Impact on water systems:– Winter season:
• Rainfall increase• ETo increase• Sea level rise
– Summer season:• Rainfall decrease• ETo increase• More intense convective summer storms
Unclear impact on inland river floods
Increase in low flow / water scarcity problems
Increase in sewer floods
Climate change impact on hydrology
Increase in coastal flood risks
Climate change impact on hydrology
For specific conditions of river basins in Flanders/Belgium:• Climate scenarios up to 2100:
– Evolution towards more droughts– Impact on flood risk along inland rivers unclear (<-> coast)– Increase in short-duration rainfall extremes
• But: climate scenarios not equal to predictions !– Evolve along with our knowledge and understanding– High uncertainties; part of the uncertainties not accounted for
• Adaptation measures ?– Use climate scenarios in water management planning !– Take high uncertainties into account !
“concept of risk = probability * consequences”“no regret” measures, “climate proof” investments design a flexible strategy (adaptable measures/investments)
Actions or adaptation measures
• See river basin and subbasin management plans• New Sigmaplan
– Geactualiseerd Sigmaplan: gecontroleerde overstromingsgebieden en natuurgebieden (1650 ha in 2030) en dijkverhogingen in steden en industriegebieden
• Prediction of and warning for flood risks:• Real-time prediction and warning system• Real-time regulation of reservoirs: more efficient use of available storage capacity
by model-predictive control algorithms
• Against drier summer climate:– Maximum upstream holding of rain water in infiltration facilities,
ditches, low-lying spaces, ...– Revision of regulations (vergunningen- en heffingenbeleid) and
water-pricing system (sturend waterprijzenbeleid: variabele tarieven voor drinkwater, progressieve tarieven naargelang verbruik)
– Reduction of water consumption, water loss, reuse of water (sensibilisering rationeel watergebruik)
– “Water-audit” for new or renovated buildings– Innovation programmes for water efficient industrial production and
irrigation
Actions or adaptation measures
• Against increased temporal variability of rainfall: drier summers + increased short-duration rainfall extremes:– calls for more attention to (local) rain water management (also at
municipal level)– additional (upstream and local) rain water storage and infiltration
needs
• More small scale solutions (at large scale)• More important role to local water managers
Actions or adaptation measures
Accept increased frequencies of “water in the streets” local scale measures can significantly reduce the damage (for same flood frequency)
Actions or adaptation measures
More local upstream storage (local terrain depressions) combined effect: reduces sewer flood frequencies & rain water feeds groundwater table
Actions or adaptation measures
Better integration of water management and spatial planning / urban design
Actions or adaptation measures
Multiple functions to open spaces (e.g. parks) in the city:
FWO research project together with K.U.Leuven - ASRO
(PhD researchers Isabelle Putseys
& Christian Nolf)
Better integration of water management and ecological / nature management
Actions or adaptation measures
Role of wetlands:
SUDEM-CLI cluster project for BelSPO
(cooperation with U.Antwerp – ECOBE)
Better integration of water management and agriculture
Actions or adaptation measures
Avoid winter runoff (and erosion) and increase infiltration by “adapted” agricultural management practices:• groenbemesting• ploegrichting• bufferstroken naast rivier
• Improved cooperation between water managers and spatial planners / urban designers, managemers of green zones in the city (parks, playing gardens)
• Improved interlinking between:– Guidelines for design of urban drainage systems (code van goede
praktijk voor het ontwerp van rioleringssystemen)– “Watertoets”– Building regulations (gewestelijke stedenbouwkundige verordening;
andere stedenbouwkundige voorschriften)
Additional needs
More info
Research project CCI-HYDR on “Impact of climate change on hydrological extremes (peak and low flows)
along rivers (Scheldt and Meuse basins) and urban drainage systems in Belgium”
(for Belgian Science Policy Office):
http://www.kuleuven.be/hydr/CCI-HYDR
Impact studies: Instituut voor Natuur- en Bosonderzoek (INBO): http://http://www.inbo.be
Vlaamse Overheid: Waterbouwkundig Laboratorium: http://www.watlab.be Vlaamse Milieumaatschappij: http://www.milieurapport.be http://www.watertoets.be/publicaties