Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM...

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

WWW.ATANAMANAGEMENT.CA

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

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

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

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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

darian.brown@atanamanagement.ca

Phone:306-242-8554

www.atanamanagement.ca

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