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U.S. Department of the InteriorU.S. Geological Survey
Indiana Silver Jackets Real-time Inundation Mapping Pilot ProjectScott Morlock
USGS Indiana Water Science Center
October, 2009
Silver Jackets Vision
A dynamic flood mapping application, based on real-time and forecast hydrologic data,
for EVERY flood-prone community
Inundation Mapping Pilot Project
IN Silver Jackets Pilot Project
11-miles, White River, Indianapolis
Tied to USGS streamgage & NWS flood forecast point
The Partnership
Funding: City of Indianapolis Indianapolis Museum of Art IN DHS USGS The Polis Center In-kind: NWS IDNR IU Grid Lab All Silver Jackets Partners
The ProjectComponents:
1.Static flood maps library
2.HAZUS detailed analysis
3.Real-time dynamic application
Approach
Develop GIS static map library Perform Level 2 Hazus analysis Build dynamic application based on static
map effort Partners use & test dynamic application Implement static maps publically through
NWS AHPS
Progress
Static map library delivered to partners
Polis completed HAZUS analysis & report
Dynamic RT application rolled out in June
Working with NWS on AHPS delivery
Gathered DEMs, channel geometry, high-water mark, streamgage historic data.
Built calibrated hydraulic model – USGS FastMech Made multiple model runs for increasing
streamflow/stage Produced a map GIS grid for each stage at a preset
interval – e.g. every foot
Static Library Mapping Process
FastMech – What and Why
WHAT USGS 2-D hydraulic model GIS front end (MDSWIMS)
WHY Speed Stability “Auto-adjusting” Outputs flood grids
Static map library
Maps in increments of 1 foot from bankfull to >21 feet
Delivered to partners through GIS server GIS raster files PDF files
Working with NWS on AHPS delivery QA/QC & metadata
HAZUS Analysis
Polis Center HAZUS MR-3 Level 2
Analysis – 15 min. Imported flood grid Imported inventory –
IMAGIS # structures,
structure damage, structure count by category
SOA – Service Oriented Architecture
Allows different applications to exchange data with one another.
Products/services based on interoperability of independent & distributed applications.
Some points RT application is state-of-the-art – and
experimental! IN approach
Get RT infrastructure built and tested Build static map libraries served through AHPS Implement static models in RT application later
A platform to build on – more complexity, trib inputs, breach modeling
Highly expandable, ideally suited for partnering – everyone can have a part
Potential partner components
NWS – flood forecasting, tech guidance, QA/QC USGS – streamgaging, channel surveying, H&H FEMA – HAZUS-MH, RiskMap USACE – hydraulic modelling, reservoir ops Private sector – new hydraulic models State and local partners – flood response plans Universities – research, social science
Issues
Sensitivity DEM data Models Channel data
Maintenance Channel changes Levees, etc
Hazard communication & public awareness
Prof. Venkatesh Merwade, Purdue University
Prof. Venkatesh Merwade, Purdue University
Demo
http://newweb.erh.noaa.gov/ahps2/inundation/inundation.php?wfo=cle&gage=fdyo1
http://134.68.246.114/FloodLossEstimatorWS/FILA/FILAUI.html
http://134.68.246.114/RavenswoodUI/default.aspx
More info: Scott Morlock – smorlock@usgs.gov Bill Guertal – wguertal@usgs.gov
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