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Assessing Options to Reduce the Impact of Flooding on a Prairie Landscape - R.M. of Wilton, SK. Case Study ERIN SIMPSON PLANNING AND DEVELOPMENT MANAGER R.M. OF WILTON NO. 472 DARIAN BROWN & GORDON SPARKS ATANA MANAGEMENT INC. MARCH 21, 2016 WWW.ATANAMANAGEMENT.CA

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Page 1: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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

Page 2: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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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Page 4: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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

Page 6: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

EssentialTrade-offforanyAdaptationOption:

Iftheexpecteddamagecostssavings(benefit)outweightheLCCs(cost)

oftheAdaptationOption,thenthereismeritinlookingintothe

AdaptationOptioninmoredetail.

Expected

DamageCost

Savings

Expected

LifeCycleCosts

(LCCs)

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Page 7: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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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

7

Slide byAAFC

Page 8: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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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Page 11: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

RMofWiltonFLOOD EXPERIENCEAND LESSONS LEARNED

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Page 12: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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Page 13: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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Page 14: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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Page 15: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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Page 16: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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Page 17: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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Page 18: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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Page 19: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

Lloydminster

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Page 20: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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Page 21: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

Overviewofmodelingandcost-benefitapproach

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WWW.RMWILTON.CA

Page 22: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

RMofWilton:“LIRALight”• TheLIRAprocesswasdevelopedthroughsignificanteffortinacollaborativeinitiative.

•Nowworkingtowards“LIRALight”byleveragingexistingmethods,

tools,andlessonslearnedinpastprojects.

•Usingthesameconceptsandprinciples,getthroughalessintensive

projectwithlessresources

•Currentproject:◦ Phase1– Floodmaps(WDPM)

◦ Phase2– Cost-benefit analysis

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Page 23: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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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Page 24: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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

WWW.RMWILTON.CA

WWW.ATANAMANAGEMENT.CA24

Page 25: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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

WWW.RMWILTON.CA

WWW.ATANAMANAGEMENT.CA25

Page 26: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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

WWW.RMWILTON.CA

WWW.ATANAMANAGEMENT.CA26

Page 27: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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

WWW.RMWILTON.CA

WWW.ATANAMANAGEMENT.CA27

Page 28: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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

WWW.RMWILTON.CA WWW.ATANAMANAGEMENT.CA 28

Page 29: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

*Must beinSlideshow mode toview animation (press Shift+F5)WWW.RMWILTON.CA

WWW.ATANAMANAGEMENT.CA29

Page 30: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

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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Page 31: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

30mmFlood map

produced usingWDPM

with 5mLiDAR

(trench shown)

RMofWilton:ApproximateTrenchLocation

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Page 32: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

Challenges– DataAvailability•Producingqualityfloodmapsrequires:

◦ LiDARdata

◦ CollaborativepurchasingofLiDARmaybereducecost

◦Drones?

◦Culverts&Bridges

◦Needlocation(notpickedupbyLiDAR)

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Page 33: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

Challenges– Funding(PublicSafetyCanada)

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Page 34: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

Summary• LIRAisbeingseenasausefultool fordecisionmakersaffectedbyflooding.

• Fourcasestudies havebeensuccessfully completed.

◦ Anothercasestudycurrentlyunderway.

• LIRAisessentially acomparativeprocess:

◦ ExpectedDamageCostSavings(benefits)vsExpectedLCCofAdaptation (costs)

• Extensive workdoneto-datenowbeing leveragedtohavecosteffectiveapplications forcommunities.

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Page 35: Assessing options to reduce the impacts of flooding ......Flood maps -WDPM Model Inputs LiDAR DEM data (collected in 2014) Culverts Manually ‘burned’ into LiDAR data Based off

Questions??DarianBrown

ATANAManagementInc.

Saskatoon,SK

[email protected]

Phone:306-242-8554

www.atanamanagement.ca

35WWW.ATANAMANAGEMENT.CA

WWW.RMWILTON.CA


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