Global Risk And Vulnerability Index Trends per Year (GRAVITY) Phase II: Development, analysis and results

This study presents the results from the second phase of the project Global Risk and Vulnerability Index Trend per Year (GRAVITY) developed by UNEP/GRID-Geneva for the UNDP/BPRD. At the end of the first phase - the feasibility study - which consisted on the identification of global data sets and indicators for explaining casualties from natural hazards, twelve recommendations were made. They mostly consisted on the creation of geographical links (georeferencing) of the impacts from past events as recorded in the database from the Centre for Research on Epidemiology of Disasters (CRED). By deriving the extent, magnitude of the event, the exposed population could be extracted and a percentage of victims computed.

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Bibliographic Details
Main Author: United Nations Environment Programme
Format: Reports and Books biblioteca
Language:English
Published: United Nations Environment Programme (UNEP) 2002
Subjects:disaster, disaster contingency plan, disaster control service, disaster preparedness, disaster prevention, human-made disaster, natural disaster, natural hazard, risk analysis, risk assessment, risk exposure, risk management, risk reduction, risk-benefit analysis, environmental risk, data analysis, data on the state of the environment, environmental change, environmental contingency planning, environmental damage, Climate Change,
Online Access:https://wedocs.unep.org/20.500.11822/8818
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Summary:This study presents the results from the second phase of the project Global Risk and Vulnerability Index Trend per Year (GRAVITY) developed by UNEP/GRID-Geneva for the UNDP/BPRD. At the end of the first phase - the feasibility study - which consisted on the identification of global data sets and indicators for explaining casualties from natural hazards, twelve recommendations were made. They mostly consisted on the creation of geographical links (georeferencing) of the impacts from past events as recorded in the database from the Centre for Research on Epidemiology of Disasters (CRED). By deriving the extent, magnitude of the event, the exposed population could be extracted and a percentage of victims computed.