Natural Disaster Hotspots: A Global Risk Analysis
Earthquakes, floods, drought, and other natural hazards cause tens of thousands of deaths, hundreds of thousands of injuries, and billions of dollars in economic losses each year around the world. Many billions of dollars in humanitarian assistance...
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okr-10986-73762021-04-23T14:02:30Z Natural Disaster Hotspots: A Global Risk Analysis Dilley, Maxx Chen, Robert S. Deichmann, Uwe Lerner-Lam, Arthur L. Arnold, Margaret Agwe, Jonathan Buys, Piet Kjevstad, Oddvar Lyon, Bradfield Yetman, Gregory CENTRAL AMERICA COVERAGE DAMS DISASTER DISASTER MANAGEMENT DISASTER PREPAREDNESS DISASTER PREVENTION DISASTER REDUCTION DISASTER RELIEF DISASTER RISK DISASTER RISK REDUCTION DISASTER-PRONE COUNTRIES EARTHQUAKE EARTHQUAKES ECONOMIC RISK FALLING FLOOD FLOOD PROTECTION FLOODING FLOODS INJURIES INVENTORY LAND USE MACROECONOMIC STABILITY MITIGATION MORTALITY NATURAL DISASTER NATURAL DISASTERS NATURAL HAZARDS PREDICTION PRODUCTIVITY RATES RESERVOIRS RESOURCE ALLOCATION RISK ANALYSIS RISK ASSESSMENT RISK ASSESSMENTS RISK EVALUATION RISK MANAGEMENT SOUTH AMERICA STORM STORMS SUBSIDIARY TOOLS TRANSPORT TRINIDAD AND TOBAGO TSUNAMI URBAN DEVELOPMENT VOLCANO Earthquakes, floods, drought, and other natural hazards cause tens of thousands of deaths, hundreds of thousands of injuries, and billions of dollars in economic losses each year around the world. Many billions of dollars in humanitarian assistance, emergency loans, and development aid are expended annually. Yet efforts to reduce the risks of natural hazards remain largely uncoordinated across different hazard types and do not necessarily focus on areas at highest risk of disaster. Natural Disaster Hotspots presents a global view of major natural disaster risk hotspots - areas at relatively high risk of loss from one or more natural hazards. It summarizes the results of an interdisciplinary analysis of the location and characteristics of hotspots for six natural hazards - earthquakes, volcanoes, landslides, floods, drought, and cyclones. Data on these hazards are combined with state-of-the-art data on the sub-national distribution of population and economic output and past disaster losses to identify areas at relatively high risk from one or more hazards. 2012-06-07T14:12:21Z 2012-06-07T14:12:21Z 2005 http://documents.worldbank.org/curated/en/2005/04/6433734/natural-disaster-hotspots-global-risk-analysis 978-0-8213-5930-3 http://hdl.handle.net/10986/7376 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Washington, DC: World Bank Publications & Research :: Publication Publications & Research :: Publication |
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World Bank |
language |
English en_US |
topic |
CENTRAL AMERICA COVERAGE DAMS DISASTER DISASTER MANAGEMENT DISASTER PREPAREDNESS DISASTER PREVENTION DISASTER REDUCTION DISASTER RELIEF DISASTER RISK DISASTER RISK REDUCTION DISASTER-PRONE COUNTRIES EARTHQUAKE EARTHQUAKES ECONOMIC RISK FALLING FLOOD FLOOD PROTECTION FLOODING FLOODS INJURIES INVENTORY LAND USE MACROECONOMIC STABILITY MITIGATION MORTALITY NATURAL DISASTER NATURAL DISASTERS NATURAL HAZARDS PREDICTION PRODUCTIVITY RATES RESERVOIRS RESOURCE ALLOCATION RISK ANALYSIS RISK ASSESSMENT RISK ASSESSMENTS RISK EVALUATION RISK MANAGEMENT SOUTH AMERICA STORM STORMS SUBSIDIARY TOOLS TRANSPORT TRINIDAD AND TOBAGO TSUNAMI URBAN DEVELOPMENT VOLCANO |
spellingShingle |
CENTRAL AMERICA COVERAGE DAMS DISASTER DISASTER MANAGEMENT DISASTER PREPAREDNESS DISASTER PREVENTION DISASTER REDUCTION DISASTER RELIEF DISASTER RISK DISASTER RISK REDUCTION DISASTER-PRONE COUNTRIES EARTHQUAKE EARTHQUAKES ECONOMIC RISK FALLING FLOOD FLOOD PROTECTION FLOODING FLOODS INJURIES INVENTORY LAND USE MACROECONOMIC STABILITY MITIGATION MORTALITY NATURAL DISASTER NATURAL DISASTERS NATURAL HAZARDS PREDICTION PRODUCTIVITY RATES RESERVOIRS RESOURCE ALLOCATION RISK ANALYSIS RISK ASSESSMENT RISK ASSESSMENTS RISK EVALUATION RISK MANAGEMENT SOUTH AMERICA STORM STORMS SUBSIDIARY TOOLS TRANSPORT TRINIDAD AND TOBAGO TSUNAMI URBAN DEVELOPMENT VOLCANO Dilley, Maxx Chen, Robert S. Deichmann, Uwe Lerner-Lam, Arthur L. Arnold, Margaret Natural Disaster Hotspots: A Global Risk Analysis |
description |
Earthquakes, floods, drought, and other
natural hazards cause tens of thousands of deaths, hundreds
of thousands of injuries, and billions of dollars in
economic losses each year around the world. Many billions of
dollars in humanitarian assistance, emergency loans, and
development aid are expended annually. Yet efforts to reduce
the risks of natural hazards remain largely uncoordinated
across different hazard types and do not necessarily focus
on areas at highest risk of disaster. Natural Disaster
Hotspots presents a global view of major natural disaster
risk hotspots - areas at relatively high risk of loss from
one or more natural hazards. It summarizes the results of an
interdisciplinary analysis of the location and
characteristics of hotspots for six natural hazards -
earthquakes, volcanoes, landslides, floods, drought, and
cyclones. Data on these hazards are combined with
state-of-the-art data on the sub-national distribution of
population and economic output and past disaster losses to
identify areas at relatively high risk from one or more hazards. |
author2 |
Agwe, Jonathan |
author_facet |
Agwe, Jonathan Dilley, Maxx Chen, Robert S. Deichmann, Uwe Lerner-Lam, Arthur L. Arnold, Margaret |
format |
Publications & Research :: Publication |
author |
Dilley, Maxx Chen, Robert S. Deichmann, Uwe Lerner-Lam, Arthur L. Arnold, Margaret |
author_sort |
Dilley, Maxx |
title |
Natural Disaster Hotspots: A Global Risk Analysis |
title_short |
Natural Disaster Hotspots: A Global Risk Analysis |
title_full |
Natural Disaster Hotspots: A Global Risk Analysis |
title_fullStr |
Natural Disaster Hotspots: A Global Risk Analysis |
title_full_unstemmed |
Natural Disaster Hotspots: A Global Risk Analysis |
title_sort |
natural disaster hotspots: a global risk analysis |
publisher |
Washington, DC: World Bank |
publishDate |
2012 |
url |
http://documents.worldbank.org/curated/en/2005/04/6433734/natural-disaster-hotspots-global-risk-analysis http://hdl.handle.net/10986/7376 |
_version_ |
1764399641800998912 |