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Developing a Spatial Hazard Index Methodology Using ModelBuilder

Developing a Spatial Hazard Index Methodology Using ModelBuilder. Joe Ludwig Geography 596A January 6, 2009 Advisor: Dr. Todd Bacastow. Photo Source: NOAA. Overview. Background Objectives Methodology Limitations Timeline Progress Anticipated Results. Background.

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Developing a Spatial Hazard Index Methodology Using ModelBuilder

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  1. Developing a Spatial Hazard Index Methodology Using ModelBuilder Joe Ludwig Geography 596A January 6, 2009 Advisor: Dr. Todd Bacastow Photo Source: NOAA

  2. Overview • Background • Objectives • Methodology • Limitations • Timeline • Progress • Anticipated Results

  3. Background US Transportation Command (TRANSCOM)‏ Critical Infrastructure Protection (CIP)‏

  4. Background

  5. Background

  6. Background Aggregation to Political Boundaries Pattern Analysis VS

  7. Background Geographic Information Science & Technology (GIS&T) Body of Knowledge

  8. Objectives

  9. Methodology PROCESS OUTPUTS Data Preparation Geodatabase Spatial Analysis Hazard Raster Surfaces Reclassification Reclassified Surfaces Weighting Composite Hazards Index Weighting Matrix Temporal Analysis Monthly Hazard Surfaces Monthly Composite Hazards Index Hazard Impact Analysis Hazard Maps

  10. Data Preparation

  11. Data Sources • National Oceanic and Atmospheric Administration (NOAA)‏ • Tornadoes, large hail, severe wind,extreme heat, freezing precipitation, snowfall data • US Geologic Survey (USGS) • Seismic and landslide hazard areas • Federal Emergency Management Agency (FEMA)‏ • Flooding • Geospatial Multi-Agency Coordination (GeoMAC) group • Wildfires Source: USACE Source: NOAA NHC Source: GeoMAC Source: USGS

  12. Data Sources • National Transportation Atlas Database (NTAD)‏ • Airports, major highways, railroads • Socioeconomic Data and Applications Center (SEDAC)‏ • Population density • Illinois Emergency Management Agency (IEMA)‏ • Emergency management areas and offices

  13. Spatial Analysis

  14. Reclassification

  15. Weighting

  16. Weighting

  17. Composite Index [flood]*0.1875 + [tornado]*0.1875 + [hail]*0.125 + [wind]*0.125 + [winter_wx]*0.125 + [drought]*0.125 + [landslide]*0.0625 + [earthquake]*0.0625

  18. Geoprocessing Model

  19. Temporal Analysis JAN FEB MAR APR MAY JUN NOV DEC JUL AUG SEP OCT

  20. Hazard Impact Analysis Emergency Management Areas Key Infrastructures Populations

  21. Potential Limitations • Data • Availability • Resolution • Scope of hazards • Natural, technological, man-made Source: CNN

  22. Timeline Submit Abstract for ESRI Federal User Conf. Prepare Project Abstract Hazards Research Literature Review Data Collection & Preparation Project Proposal Presentation Prepare Proposal Paper & Presentation Spatial Analysis & Methodology Model Development Apply Model to Illinois Conference Presentation ESRI Federal User Conf. Prepare Final Presentation GEOG 596B Course End Date Prepare Final Paper Oct 08 Nov 08 Dec 08 Jan 09 Feb 09 Mar 09 Apr 09

  23. Progress Literature review Data preparation Spatial analysis Model development Apply model to Illinois Final Presentation In Progress In Progress Starting FEB

  24. Summary • Composite and monthly hazard index • Geoprocessing model • Hazard impact map products • Key infrastructure • Population exposure • Emergency management areas

  25. Questions jhl167@psu.edu www.personal.psu.edu/jhl167

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