Abstract
Multi-hazard risk assessment aims at assessing the total risk of various types of hazards happened in an area in a certain period of time. In this study, the Total Risk Index (TRI) and Multi-hazard Risk Index (MhRI) are adopted for assessing the multiple risks of 11 hazards—earthquake, volcano, landside, flood, storm surge, sand-dust storm, tropical cyclone, drought, heat wave, cold wave, and wildfire—for population and property at grid level (0.5°×0.5°) comparable-geographic and national levels. The TRI and MhRI values of all 197 countries of the world are calculated at county and per unit area, respectively. By TRI, the top 1 % countries with the highest expected annual mortality and affected population risk level are India and China at country unit, Bangladesh and Gaza Strip at per unit area; The top 1 % countries with the highest expected annual loss and affected property risk level are United States and Japan at country unit, Netherlands and Japan at per unit area. By MhRI, the top 1 % countries with the highest expected annual affected population risk level are China and India at country unit, Bangladesh and Singapore at per unit area; the top 1 % countries with the highest expected annual affected property risk level are United States and Japan at country unit, Japan and South Korea at per unit area.
Mapping Editors: Jing’ai Wang (Key Laboratory of Regional Geography, Beijing Normal University, Beijing 100875, China), Fang Lian (School of Geography, Beijing Normal University, Beijing 100875, China) and Chunqin Zhang (School of Geography, Beijing Normal University, Beijing 100875, China).
Language Editors: Wei Xu (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China) and Kai Liu (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China).
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Dilley, M., U. Deichmann, and R.S. Chen. 2005. Natural disaster hotspots: A global risk analysis. Washington, DC: World Bank Publications.
Emergency Events Database (EM-DAT). 2014. Natural disaster database. http://www.emdat.be/. Accessed in July 2013.
Shi, P.J. 2009. Theory and practice on disaster system research—The fifth discussion. Journal of Natural Disasters 18(5): 1–9. (in Chinese).
Shi, P.J. 2011. Atlas of natural disaster risk of China. Beijing: Science Press.
United Nations Development Programme (UNDP), Bureau for Crisis Prevention and Recovery. 2004. Reducing disaster risk: A challenge for development. New York: UNDP, Bureau for Crisis Prevention and Recovery.
United Nations University Institute for Environment and Human Security (UNU-EHS). 2013. World Risk Report (2013).
Zheng G.C. 2009. Significant historical epic for disaster prevention and reduction in sixty-year of China. Changsha: Hunan People’s Publishing House. (in Chinese).
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© 2015 Springer-Verlag Berlin Heidelberg and Beijing Normal University Press
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Shi, P. et al. (2015). Mapping Multi-hazard Risk of the World. In: Shi, P., Kasperson, R. (eds) World Atlas of Natural Disaster Risk. IHDP/Future Earth-Integrated Risk Governance Project Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45430-5_16
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DOI: https://doi.org/10.1007/978-3-662-45430-5_16
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