i eee 2012 iowa flood
TRANSCRIPT
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GIS, Imagery and Modeling to Manage 2008 Iowa FloodsMary Ann Stewart, P.E.
Mary Ann Stewart Engineering
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Based on GITA ROI methodology Funded by FGDC 50 States Initiative
Complex year-long project began July 07
Business case focused on bringing 99counties to a common GIS standard
Result was a multi-agency business case
Analysis led to creation of a State agency to
provide GIS support Use of methodology $1.43M in funding to
date
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Quantifying benefits presented challenges Culture ofad hocresponse
Response is priceless: We Cant Quantify It
Emergencies are unique rather than repeatable
Multi-agency response a complex web ofactivities
Standards for documentation vary by agency
Emergency response teams may disperse aftercompletion of their individual tasks
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Report on the initial multi-agency analysisdue June 30, 2008
May 25 - Parkersburg tornado, flashflooding throughout Iowa
June 8 - Iowa River over 22 flood stageJune 10 - Coralville Reservoir tops
emergency spillwayJune 14 Numerous levee breaches beginJune 16 DNR project lead locked out of
State offices in Iowa City due to flooding
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University of IowaBuildings
Fine Arts campusreplacement =
$404.9M (2012 est.)Total campus flooddamage > $1B
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Iowa DNR project lead recommendedadditional flood/tornado response project
Funding provided by Rolla, MO USGS office
for International Charter Imagery program Analysis included use of all geospatial
technology, including Charter Imagery andother imagery products
Flood benefits updated during 2011economic development ROI analysis
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Interviews with 69 individuals at 36 organizations
conducted fall 2008 spring 2009 County organizations: GIS, sheriff, emergency
management, assessor, auditor, community
development, engineering, public works, publichealth, planning and zoning State organizations: universities, DNR, Homeland
Security, State Floodplain Manager, Dept. ofAgriculture, Dept. of Transportation,
Federal organizations: Corps of Engineers, FEMA,National Weather Service, USGS Also spoke with local business owners, utilities,
response contractors
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Staff time saved during emergency response
Increased FEMA assistance to citizens
Citizen time saved
Avoided cost of land-based surveying, using LiDAR Vehicle miles saved
Additional Federal damage reimbursements provided
Materials saved (primarily sandbags)
Building damage avoided
Ability to bill private entities for unneeded prevention Cost avoidance of unnecessary relocation activity
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Faster information flow faster economic activity recovery Better and faster information presidential disaster declaration
Better communication with helping agencies citizens assistedbetter and faster
Better road closure information to the public time saved and
safety increased Maps and data used as communication tool for briefings
Use by EOC as situation awareness tool
Maps provide time lapse record of the stages of the flood, usefulfor hazard mitigation planning for the next flood
Better resource allocation during response
Modeling aided decision to drain basin naturally rather thanpaying to bring in big pumps
Debris removal facilitated
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Coralville ReservoirSpillway
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Unique confluence of staff skills enableduse of FEMA loss estimation tool
Shane Hubbard at University of IowaGeography Dept. had HAZUS background
Dave Wilson, Johnson Co. EmergencyManagement Director, sought his help
Rick Havel of Johnson Co. GIS suppliedcounty-specific data for building inventory
HAZUS results could provide daily forecastof water levels along Iowa River
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Planning began June 9th with first HAZUS-MH run
in the Emergency Operations Center simulatingpeak discharges from 1993 hundred-year flood
Incorporated National Weather Service and Corpsof Engineers forecasts of discharge values forIowa River
Johnson County agencies used HAZUS output and2007 DFIRMS, plus imagery taken at flood crest
Staff now realize HAZUS runs were first stepstoward flexible flood inundation mapping
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Correct placement of sandbags saved twocritical county buildings that flooded in1993
Critical building houses commissioners,auditors, assessors
Uncertainty around modeling couldntguarantee that sandbagging wasnt needed
Decision made to sandbag with flood waterultimately lapping at sandbags
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Correct placement of sandbags held back3-4 feet of water from sheriffs buildings
HAZUS modeling forecasted no need toevacuate building
Building housed EOC and provided stagingsite for National Guard response
Jail housed 100 prisoners without goodoptions in event of evacuation
Evacuation by prisoner transport van wouldcost 10 trips X 4 staff X 2 hours + transportcosts
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Prepositioned staff in teams of 8 come in a fewdays before the flood crest From HAZUS output, provided with a list of 600
names, addresses, phone numbers Helped prioritize work effort -- went to damaged
homes in first wave of activity saving 12 hours X 6days X 8 staff = 576 hours Knew if location was commercial, residential,
agricultural Reaching affected population sooner means
citizens can apply for assistance sooner FEMA contact noted that this had never been
provided to him working previous disasters
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50 day window to apply for individual assistance afterPresidential Declaration
Citizens applying sooner FEMA customer benefitsramped up sooner
Reaching affected population sooner increase in total
applications Johnson County had 1600 registrations two months
after flood for estimated 1500-3000 buildings damaged
Typically 10% to 50% of affected citizens file
Average housing assistance payout in Iowa was $5200
Benefits could range from 50% to 90% x 1600registrations X $5200 = $4.16M to $7.49M inassistance
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25% of $667M actualbuilding damages =$166,750,000
Corps provided reservoirrelease rates each morningEngineering support firmran model dailyOutput used to determine
sandbag placement
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Save UI buildings $166,750,000 95.38%
Increased FEMA assistance to citizens $4,160,000 2.38%
FEMA reimbursable utility projects $3,300,000 1.89%
Productivity benefits $275,207 0.16%
All other benefits $25,122 0.01% Save UI bldgs
Increased FEMAassistance tocitizens
FEMA reimbursable
utility projects
Productivity benefits
All other benefits
95.38%
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Scaling factor developed to show statewide riskfrom flooded buildings
0.13743 =
Annual Probability of 100-Year Flood *(Statewide Total Direct Economic BuildingLoss / Johnson County Total EconomicBuilding Loss)
Building Loss metrics from statewide HAZUSruns for 100 year flood in $2008
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Mary Ann Stewart, P.E.Mary Ann Stewart Engineering LLC
(785) 865-5251
mailto:[email protected]:[email protected]