World Congres on Disaster Management New Delhi

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This is a presentation on Disaster Inventory, presented during the World Congress on Disaster Management in New Delhi

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World Congres on Disaster Management New Delhi

  1. 1. Generation of Historical Vulnerability Indices using a DesInventar Database Sujit Mohanty Manager-Disaster Information Systems World Congress on Disaster Management New Delhi
  2. 2. Introduction <ul><li>Concept </li></ul><ul><li>The InDisData project </li></ul><ul><li>Methodology and Tool - DesInventar </li></ul><ul><li>The Orissa Experience </li></ul><ul><li>Qualitative results </li></ul>
  3. 3. in·dex (în¹dèks´) noun <ul><li>plural in·dex·es or in·di·ces (-dî-sêz´) </li></ul><ul><ul><li>a. Something that serves to guide, point out, or </li></ul></ul><ul><ul><li>otherwise facilitate reference… </li></ul></ul><ul><li>b. A number derived from a formula, used </li></ul><ul><li>to characterize a set of data… </li></ul><ul><ul><li>Excerpted from The American Heritage« Dictionary of the English Language, Third Edition ® 1996 by Houghton Mifflin Company .. </li></ul></ul>
  4. 4. Historical Vulnerability <ul><li>Patterns : repeated periodic occurrence of losses </li></ul><ul><li>Trends : increasing magnitude of losses </li></ul><ul><li>Impact : high losses being caused by low magnitude events </li></ul>Will be defined and calculated based on:
  5. 5. The InDisData Project <ul><li>A database of disasters to understand trends and patterns. </li></ul><ul><li>A systematic geo-referenced inventory of small, medium and large-scale disasters for past 30 years. </li></ul><ul><li>To rationalize decision making for disaster preparedness, as well as providing an objective base for vulnerability assessment and priority setting. </li></ul><ul><li>To support planning & policy decisions for disaster preparedness and mitigation. </li></ul>
  6. 6. Orissa Pilot Process <ul><li>Data collected for 30 districts and 314 blocks from newspapers over a period of 32 years. </li></ul><ul><li>Data collected from media is compared with Government records. </li></ul><ul><li>Institutionalization with Government for sustainability. </li></ul><ul><li>Interpretation and analysis of the data shows new dimensions of risk & vulnerabilities of the State. </li></ul><ul><li>Orissa ‘Vulnerability Analysis Report’ is being prepared in association with ‘Center for Development Studies’. </li></ul>
  7. 7. DesInventar <ul><li>A methodology </li></ul><ul><li>A tool </li></ul><ul><li>The previous experience in Latin America </li></ul><ul><li>http://www.desinventar.org </li></ul>
  8. 8. DesInventar <ul><li>Methodology </li></ul><ul><li>Disaggregation of the effects </li></ul><ul><li>Geo-referenced data </li></ul><ul><li>Inclusion of Small and Medium Disasters </li></ul>
  9. 9. DesInventar The Software Tools Stand-alone and Web-enabled version
  10. 10. Preliminary Findings <ul><li>Epidemics and cyclones are the greatest causes of deaths </li></ul><ul><li>Epidemics are highly associated with floods, but also occur as independent incidents. </li></ul><ul><li>Fire is the greatest cause of household destruction, comparable to Cyclone. </li></ul><ul><li>Floods affect people more than any other type of disaster. </li></ul>
  11. 11. Impact on Life Number of people killed in disasters in Orisa Epidemics (19,963 ) Cyclone (20,449)
  12. 12. Impact on Property Number of Houses Destroyed in Disasters Orissa Fire (436,212) Cyclone (376,285) Floods (135485)
  13. 13. Impact on Livelihood Number of people affected Flood ( 31’395,654) Cyclone(11’633,140) Drought(3’408,999) Rains (3’776,359)
  14. 14. Patterns: floods Total number of Victims and Affected by Floods in Orissa
  15. 15. Pattern: Epidemics People Killed by Epidemics in Orissa
  16. 16. Spatial Distribution of Disasters
  17. 17. Relation Floods-Epidemics Number of reports of floods and people killed by epidemics, 11 years, with apparently non-flood related epidemics.
  18. 18. Spatial Distribution of Floods and Epidemics
  19. 19. Relation Floods-Epidemics Number of reports in floods and people killed by epidemics, 11 years, in 5 less-flood prone districts. Districts of Koraput, Kandhamal, Kalahand, Rayadada and Gajapat
  20. 20. Trend: Epidemics Ascending trend of the effects of epidemics in Orissa.
  21. 21. Trend: Fire effects on Housing
  22. 22. Pattern: Fire Seasonal Seasonal Variation in Fire Pattern
  23. 23. Way forward: <ul><li>Definition of a methodology to generate a numeric index based on trends, patterns and impact </li></ul><ul><li>Calculation of these indices for Orissa </li></ul><ul><li>Comparison of these indices against other vulnerability index </li></ul><ul><li>Fine tuning of the whole process </li></ul><ul><li>Use of the indices in Risk Assessment </li></ul>
  24. 24. InDisData is supported by: Ministry of Home Affairs National Institute of Disaster Management NIDM United Nations Development Programme UNDP The Network for Social Studies on Disaster Prevention in Latin America
  25. 25. THANK YOU

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