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AssessingOptionstoReducetheImpactofFloodingonaPrairieLandscape-
R.M.ofWilton,SK.CaseStudy
ER INS IMPSONPLANNING AND DEVELOPMENT MANAGERR .M . OFWI LTONNO. 472
DAR IANB ROWN& GORDONSPAR KSATANA MANAGEMENTINC .
MARCH 21 , 2016
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Outline•IntroductiontoLIRA
•RMofWilton– FloodExperienceandLessonsLearned
•Overviewoffloodmodelingandcost-benefitapproach
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IntroductiontoLIRA• LIRA:Land&InfrastructureResiliencyAssessment
• Initiated~10yearsago◦ InvolvedAgCanada,hydrologists,climatescientists, GISspecialists, land-use
planners,economists, andlocalstake-holders amongothers.
◦ Developed software
◦ WDPM(WetlandsDEMPondingModel)
◦ LIRASoftware(costbenefitsoftware)
•Nowmorecost-effective!
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LIRA Premise:
Is it possible to proactively “adapt” the local landscape to reduce flood related damage?
Photo Credit: AWSA
PhotoCredit:AAFC
Will the benefits (reduced damage costs) outweigh the costs of implementation?
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Systematic, Rational, & Transparent
2.SimulateERE
WeatherForecasts
3.DamageandDamageCostAssessment
1.MaptheLandscape
4.IdentifyandDevelopAdaptationOptions
5.ReachInformedDecisions
Runoff RiskMaps-WDPM Damage Costs5
Slide byAAFC
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EssentialTrade-offforanyAdaptationOption:
Iftheexpecteddamagecostssavings(benefit)outweightheLCCs(cost)
oftheAdaptationOption,thenthereismeritinlookingintothe
AdaptationOptioninmoredetail.
Expected
DamageCost
Savings
Expected
LifeCycleCosts
(LCCs)
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History of flood related damage
Data collection
Local adaptation option scenarios
Are “flood maps” produced by WDPM A realistic representation?
Key Throughout Process: Local Knowledge
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Slide byAAFC
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LIRAProjects•CompletedProjects:
◦ RMofCorman Park,SK
◦ Assiniboine RiverWatershed, SK
◦ Redberry LakeWatershed, SK
◦ (Radisson &Borden – Actual flood/validation)
◦ Nappan,NovaScotia
•Currentproject:◦ RMofWilton
WDPM
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AssetManagementgivesInformedAssetInvestmentDecisions
• Effectivelybalancingcosts,risks,opportunitiesandperformance
Performance(ServiceLevels)
RisksandopportunitiesCosts
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RMofWiltonFLOOD EXPERIENCEAND LESSONS LEARNED
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Lloydminster
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Overviewofmodelingandcost-benefitapproach
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RMofWilton:“LIRALight”• TheLIRAprocesswasdevelopedthroughsignificanteffortinacollaborativeinitiative.
•Nowworkingtowards“LIRALight”byleveragingexistingmethods,
tools,andlessonslearnedinpastprojects.
•Usingthesameconceptsandprinciples,getthroughalessintensive
projectwithlessresources
•Currentproject:◦ Phase1– Floodmaps(WDPM)
◦ Phase2– Cost-benefit analysis
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Floodmaps- WDPM● Model Inputs
● LiDARDEMdata(collected in2014)
● Culverts
● Manually‘burned’ intoLiDARdata
● BasedoffGISdataprovidedbytheRM
● ModelOutputs
● Waterdistribution overfullinputarea
● 5mx5mgridsize(gridcellarea=25m2)
● Waterdepth ineachgridcell
● (incrementaltoexistingwaterrepresentedininputdata)
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RR3281
RR3280
RR3274
RR3273
RR3272
RR3271
RR3270
RR3265
RR3264
RR3263
RR3262
TWP490
TWP492
TWP494
HWY303
HWY17
Legend
Elevation(m):
590
607
624
641
658
RMofWilton
Basin1
Roads
RR3275
Elevationdata
fromLiDAR
Marshall
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RR3281
RR3280
RR3274
RR3273
RR3272
RR3271
RR3270
RR3265
RR3264
RR3263
RR3262
RR3261
TWP490
TWP492
TWP494
HWY303
HWY17
Legend
Depth
(m):
Volume
(m3):
0.00 0.00
0.10 2.50
0.20 5.00
0.30 7.50
0.40 10.00
0.50 12.50
0.60 15.00
0.70 17.50
RMofWilton
Basin1
Roads
RR3275
30mm ERE
Marshall
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RR3281
RR3280
RR3274
RR3273
RR3272
RR3271
RR3270
RR3265
RR3264
RR3263
RR3262
RR3261
TWP490
TWP492
TWP494
HWY303
HWY17
RR3275
Legend
Depth
(m):
Volume
(m3):
0.00 0.00
0.10 2.50
0.20 5.00
0.30 7.50
0.40 10.00
0.50 12.50
0.60 15.00
0.70 17.50
RMofWilton
Basin1
Roads
60mm ERE
Marshall
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RR3281
RR3280
RR3274
RR3273
RR3272
RR3271
RR3270
RR3265
RR3264
RR3263
RR3262
RR3261
TWP490
TWP492
TWP494
HWY303
HWY17
RR3275
Legend
Depth
(m):
Volume
(m3):
0.00 0.00
0.10 2.50
0.20 5.00
0.30 7.50
0.40 10.00
0.50 12.50
0.60 15.00
0.70 17.50
RMofWilton
Basin1
Roads
75mm ERE
Marshall
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100mmvsStakeholderEstimatedFloodingAreas• Greencirclesshowareasofgeneralagreement
• Stakeholder Estimated FloodingAreas basedoffof:
• Figure5-2fromtheDrainageMasterPlanfortheRMofWilton,byUrbanSystems
100mmFloodMapfromWDPMStakeholder Estimated FloodingAreas
1
2 3
4
5
6
7 8
12 3
4
5
6
7
8
9 9
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*Must beinSlideshow mode toview animation (press Shift+F5)WWW.RMWILTON.CA
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RMofWilton:Cost-Benefit•Consideringatrenchdesignedtoalleviateflooding◦ Leveragingnaturaldrainagechannels intheRM
• Employinga‘hotspot’technique
◦ FirstdeterminewhateffectstheAdaptationOptionhasonwaterdistribution
◦ Thenfocusonpartsofthe landscapewheretheAdaptationOptionhasmost
significanteffects (moreorlesswater)
◦ Determinewhatexists inthe‘hotspots’andfocuscost-benefit analysis onthe
receptors inthese areas
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30mmFlood map
produced usingWDPM
with 5mLiDAR
(trench shown)
RMofWilton:ApproximateTrenchLocation
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Challenges– DataAvailability•Producingqualityfloodmapsrequires:
◦ LiDARdata
◦ CollaborativepurchasingofLiDARmaybereducecost
◦Drones?
◦Culverts&Bridges
◦Needlocation(notpickedupbyLiDAR)
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Challenges– Funding(PublicSafetyCanada)
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Summary• LIRAisbeingseenasausefultool fordecisionmakersaffectedbyflooding.
• Fourcasestudies havebeensuccessfully completed.
◦ Anothercasestudycurrentlyunderway.
• LIRAisessentially acomparativeprocess:
◦ ExpectedDamageCostSavings(benefits)vsExpectedLCCofAdaptation (costs)
• Extensive workdoneto-datenowbeing leveragedtohavecosteffectiveapplications forcommunities.
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Questions??DarianBrown
ATANAManagementInc.
Saskatoon,SK
Phone:306-242-8554
www.atanamanagement.ca
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