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Generation of Historical Vulnerability Indices using a DesInventar Database Sujit Mohanty Manager-Disaster Information Systems World Congress on Disaster Management New Delhi
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]
in·dex   (în¹dèks´)  noun ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Historical Vulnerability ,[object Object],[object Object],[object Object],Will be defined and calculated based on:
The InDisData Project ,[object Object],[object Object],[object Object],[object Object]
Orissa Pilot Process ,[object Object],[object Object],[object Object],[object Object],[object Object]
DesInventar ,[object Object],[object Object],[object Object],[object Object]
DesInventar ,[object Object],[object Object],[object Object],[object Object]
DesInventar The Software Tools Stand-alone and Web-enabled version
Preliminary Findings ,[object Object],[object Object],[object Object],[object Object]
Impact on Life Number of people killed in disasters in Orisa Epidemics (19,963 ) Cyclone (20,449)
Impact on Property Number of Houses Destroyed in Disasters Orissa Fire (436,212) Cyclone (376,285) Floods (135485)
Impact on Livelihood Number of people affected Flood ( 31’395,654) Cyclone(11’633,140) Drought(3’408,999) Rains (3’776,359)
Patterns: floods Total number of Victims and Affected by Floods in Orissa
Pattern: Epidemics People Killed by Epidemics in Orissa
Spatial Distribution of Disasters
Relation Floods-Epidemics Number of reports of floods and people killed by epidemics, 11 years, with apparently non-flood related epidemics.
Spatial Distribution of Floods and Epidemics
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
Trend: Epidemics Ascending trend of the effects of epidemics in Orissa.
Trend: Fire effects on Housing
Pattern: Fire Seasonal Seasonal Variation in Fire Pattern
Way forward: ,[object Object],[object Object],[object Object],[object Object],[object Object]
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
THANK YOU

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