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GIS for the Impact of Natural Calamities in Property Insurance

GIS for the Impact of Natural Calamities in Property Insurance. Authors. Doug Dempster, Vice-President & Director, Product Development, First American Harvard Design and Mapping, Cambridge, MA, United States of America. Prabhudoss Robert Samuel, Snr. Software Engineer, [FAFDS]

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GIS for the Impact of Natural Calamities in Property Insurance

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  1. GIS for the Impact of Natural Calamities in Property Insurance Authors Doug Dempster, Vice-President & Director, Product Development, First American Harvard Design and Mapping, Cambridge, MA, United States of America. Prabhudoss Robert Samuel, Snr. Software Engineer, [FAFDS] First Indian, Bangalore, India. Perumal Chinnusamy, Project Manager, [FAFDS] First Indian, Bangalore, India.

  2. Properties and risks due to Disasters • 75% of housing stock is susceptible to natural hazards • 10 million homes are at risk from flooding • 25 million homes are at risk from wind hazards • 2 million homes are at risk from coastal storm surges • 50 million homes are in counties with significant earthquake risk

  3. Natural Calamities - Loss in Property Insurance Industry Underwriting • Identify and calculate the risk of loss from a Property. • Disasters pose a threat to the Property. • Underwriter should look at the history of the property with respect to Disasters. • Inappropriate assurance will directly affect the insurance company. • Use a GIS with Historical data to evaluate the level of threat to a property better. Fraudulent Claims • Claims made for a property which was not affected by disasters. • $30 billion a year [http://www.iii.org/media/hottopics/insurance/fraud/] • Claims Processor could use a GIS to authenticate the claim.

  4. Hurricanes Flood Tornado Wildfires Precipitation Earthquakes Disasters that affect a Property

  5. Disaster Data – Updated at Regular Intervals Hurricane Data • http://www.nhc.noaa.gov/ - National Hurricane Center Website – USA • Text format Precipitation Data • http://www.srh.noaa.gov/rfcshare/p_download_new/download.php • NetCDF files and point shape files Hail, Wind and Tornado Data • http://www.spc.nssl.noaa.gov • CSV files. Wild fire data • http://rmgsc.cr.usgs.gov/outgoing/geomac/ • Wild fire information in shape files. River Flood outlook Data • ftp://ftp.hpc.ncep.noaa.gov/shapefiles/fop • The River Flood outlook information in an XML format

  6. The Overall Picture A. We can create (or) customize GIS Data out of these Datasources B. Prepare Historical information of disaster in Spatial format C. Use them in our analysis

  7. Technologies / Tools Used • Java • Geotools • Spring Framework • Eclipse IDE • Internet Explorer • MapWindow GIS

  8. Conversion of NHC data • http://www.nhc.noaa.gov/ - National Hurricane Center Website – USA • Single file / Text format. • Current state and the forecast • Bulletin issued for 4 times a day - 6 hourly once • 0300 Hrs, 0900 Hrs, 1500 Hrs, 2100 Hrs UTC • Sample is Hurricane IVO, that hit Mexico – September 2007 – Pacific Coast.

  9. Hurricane Bulletin – Header Information HURRICANE IVO FORECAST/ADVISORY NUMBER 12 NWS TPC/NATIONAL HURRICANE CENTER MIAMI FL EP122007 0900 UTC FRI SEP 21 2007 • Name of Hurricane • Bulletin Number • Time of Issue • Date of Issue Will be used as Attributes

  10. Location of the Storm HURRICANE CENTER LOCATED NEAR 19.0N 113.5W AT 21/0900Z • GIS Data of Point type • 19.0 Latitude • -113.5 Longitude

  11. Current wind area of the Storm 64 KT....... 15NE 15SE 0SW 0NW. 50 KT....... 60NE 30SE 10SW 25NW. 34 KT....... 75NE 65SE 30SW 60NW. • GIS Data of polygon type

  12. Forecast path of the Storm FORECAST VALID 21/1800Z 19.9N 113.5W FORECAST VALID 22/0600Z 20.8N 113.2W FORECAST VALID 22/1800Z 21.5N 112.9W FORECAST VALID 23/0600Z 22.3N 112.5W FORECAST VALID 24/0600Z 24.0N 112.0W • GIS Data of Line type

  13. Forecast wind area of the Storm • GIS Data of Polygon type

  14. Overlaying on the Property Spatial Data

  15. Overlaying on the Property Spatial Data Hurricane IVO – Forecast Wind Area Path

  16. Overlaying on the Property Spatial Data Hurricane IVO – Forecast Wind Area Path

  17. Decision Making • What would be risk to this property due to hurricanes? • What is the history of this property with respect to hurricanes? • Does it fall under the zone of hurricanes? • If yes what is / was the frequency? • Has the property been hit by a hurricane ever? • Was the location of the hurricane near enough to cause damage? • How much can be the sum assured?

  18. Potential Applications Areas • Predict Losses • Anticipate Claims Volume after a disaster • Inform client that their property is within a potential hazard zone. • Provide information prior to inspection • Potentially eliminate need for site inspection

  19. Data Delivery Modes Processed Data Stream • All hazards data automatically delivered to client application in Oracle Spatial format. Portfolio Monitoring • Our websites host client’s portfolio and overlays data as directed by client (real time, hourly, daily) Ad Hoc Reports • Client sends single or batches of address-based ad hoc requests through our web site, or through partner web sites • Reports delivered in real time via web interface – can be printed to PDF

  20. Data Source for Hurricane and Precipitation

  21. Data Source for Storm Prediction and Storm Surge

  22. Thank You All Questions

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