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High Resolution Flash Flood Potential Index for Customers and Partners. Jim Brewster WFO Binghamton, NY. Moneypenny Creek Flash Flood – May 2004. Background. Flooding is WFO Binghamton’s #1 High Impact Hazard Central NY and Northeast PA have highly variable geography, land cover and use.

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High Resolution Flash Flood Potential Index for Customers and Partners


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high resolution flash flood potential index for customers and partners
High Resolution Flash Flood Potential IndexforCustomers and Partners

Jim Brewster

WFO Binghamton, NY

Moneypenny Creek Flash Flood – May 2004

background
Background
  • Flooding is WFO Binghamton’s #1 High Impact Hazard
  • Central NY and Northeast PA have highly variable geography, land cover and use.
    • Steep, rocky terrain along with flatter sandy plains
    • Areas of urbanization
    • Wide range of forest cover
    • Similar soil types
  • Experienced forecasters realized that some areas are more prone to flash flooding than others.
  • But, Where and to what extent?
flash flood potential index ffpi
Flash Flood Potential Index (FFPI)
  • Developed by hydrologist Greg Smith, CBRFC (2003).
  • Geographical features play a key role in flash flooding
  • Developed as background information to be incorporated into production of better gridded Flash Flood Guidance
  • Using the FFPI, the roles of land, vegetation and urbanization in flash flooding are visualized
  • “Guesswork” to the flash flood problem is reduced
methodology for creating ffpi
Methodology for creating FFPI
  • Collected available geographic data sets
  • Used GIS technology to resample, project and index the data into to a common value
  • Mathematically develop a new geographic index grid…the FFPI
the data
The Data
  • Four geographic data sets :
    • Slope derived from the USGS DEM (Digital Elevation Model)
    • MLRC Land Use/Land Cover Grid
    • AVHRR Forest Density Grid
    • STATSGO Soil Type Classification
methodology review
Methodology Review
  • Weight average the geographic layers.
    • FFPI = (1.5*Slope + LC + Soils + Forest)/N
  • Local adjustment to calculation
      • Reviewed against historical events
      • Flash flooding occurs in our forested areas.
      • Is that element really much of an influence here?
  • FFPI = (1.5*Slope + LC + Soils + 0.5*Forest)/N
  • Raw grid is then averaged to individual basins.
slide7
90 Meter Resolution
  • Warm colors = High Potential
  • Cool colors = Low Potential
ffpi mapped to ffmp basins
FFPI mapped to FFMP Basins
  • Fit our historical events
  • New realizations, especially the low FF potential areas.
  • Differentiates the “best of the worst” basins in an area generally known for high flash flood potential.
ffpi versatility
FFPI Versatility
  • Exportable to other platforms
  • KML/KMZ
  • GeoTiff
    • Google Earth
  • ESRI shape file
high resolution in action
High Resolution in Action

November 16, 2006

Flash Flooding & Mud slides

90 m high resolution
90 m - High Resolution

Glen Brook Fatalities

Use of high resolution FFPI in a GIS environment can benefit emergency managers, planning boards, town highway

departments, and other local officials and groups.

summary
Summary
  • The FFPI was developed in Binghamton due to the important need to have a static geophysical reference grid which better illustrates how local earth system features contribute to flash flooding.
  • The FFPI is best used in flood operations when mapped to our AWIPS FFMP basins for comparison with other flash flood tools and techniques.
  • Through GIS technology, the index can be exported to many formats for use by other government agencies, customers and partners for planning and mitigation.
    • Please send requests for GIS FFPI layers to james.brewster@noaa.gov