Mapping Global Mortality and Affected Population Risks for Multiple Natural Hazards

Peijun Shi , Xu Yang , Wei Xu , Jing’ai Wang

International Journal of Disaster Risk Science ›› 2016, Vol. 7 ›› Issue (1) : 54 -62.

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International Journal of Disaster Risk Science ›› 2016, Vol. 7 ›› Issue (1) : 54 -62. DOI: 10.1007/s13753-016-0079-4
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Mapping Global Mortality and Affected Population Risks for Multiple Natural Hazards

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Abstract

Substantial reduction in both mortality from and the number of people affected by natural hazards by 2030 are two principal targets that can be measured to assess global progress toward meeting the goals of the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR). Based on existing research of expected annual multi-hazard intensity (M h) of 11 hazards at the 0.5° × 0.5° grid scale in the World Atlas of Natural Disaster Risk, including earthquake, volcanic eruption, landslide, flood, storm surge, tropical cyclone, sand and dust storm, drought, heat wave, cold wave, and wildfire, a vulnerability model involving M h and GDP per capita was developed to estimate the mortality level and scale of affected populations in 2005–2015 and 2020–2030. Global mortality and affected population risks were then mapped at the 0.5° × 0.5° grid scale and the mortality and affected population rates were ranked at the national scale. The results show that most countries can achieve the target of reducing the mortality and affected population rates. Countries with increasing rates such as Bangladesh and Madagascar, where the coping capacity for natural hazard risks cannot keep pace with the increase of M h and the growth of exposure, should be the “hotspots” of concern in global disaster risk reduction. The method proposed to quantitatively calculate the mortality and affected population risks can provide scientific and technical support for assessing global and national/regional progress in achieving the outcome and goal of the SFDRR.

Keywords

Affected population / Global scale / Multi-hazards / Mortality / Sendai framework

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Peijun Shi, Xu Yang, Wei Xu, Jing’ai Wang. Mapping Global Mortality and Affected Population Risks for Multiple Natural Hazards. International Journal of Disaster Risk Science, 2016, 7(1): 54-62 DOI:10.1007/s13753-016-0079-4

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References

[1]

Cutter SL. Hazards, vulnerability and environmental justice, 2006, London: Earthscan

[2]

Cutter SL, Christina F. Temporal and spatial changes in social vulnerability to natural hazards. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2008, 105(7): 2301-2306

[3]

Dilley M, Deichmann U, Chen RS. Natural disaster hotspots: A global risk analysis, 2005, Washington, DC: World Bank

[4]

EM-DAT (Emergency Events Database). 2015. Natural disaster database. http://www.emdat.be/. Accessed 23 Jan 2015.

[5]

Esty DC, Levy M, Srebotnjak T, de Sherbinin A. Environmental sustainability index: Benchmarking national environmental stewardship, 2005, New Haven: Yale Center for Environmental Law & Policy

[6]

IIASA (International Institute for Applied Systems Analysis). 2005. Greenhouse gas initiative (GGI) program. http://www.iiasa.ac.at. Accessed 20 Apr 2015.

[7]

IPCC (Intergovernmental Panel on Climate Change) IPCC special report on managing the risks of extreme events and disasters to advance climate change adaptation (SREX), 2012, Cambridge: Cambridge University Press

[8]

JRC (European Commission Joint Research Centre). 2014. Index for risk managementINFORM. Luxembourg: The European Union.

[9]

Shi P. Theory and practice on disaster system research—The fifth discussion. Journal of Natural Disasters, 2009, 18(5): 1-9 (in Chinese)

[10]

Shi P, Karsperson R. World atlas of natural disaster risk, 2015, Heidelberg: Springer

[11]

UNDP (United Nations Development Programme) Reducing disaster risk: A challenge for development, 2004, New York: UNDP

[12]

UNISDR (United Nations International Strategy for Disaster Reduction) Living with risk: A global review of disaster reduction initiatives, 2004, New York: United Nations

[13]

UNISDR (United Nations International Strategy for Disaster Reduction). 2005. Hyogo framework for action 20052015: Building the resilience of nations and communities to disasters. A/CONF.206/6. Geneva: UNISDR.

[14]

UNISDR (United Nations International Strategy for Disaster Reduction). 2015. Sendai framework for disaster risk reduction 20152030. A/CONF.224/CRP.1. Geneva: UNISDR. http://www.unisdr.org/files/43291_sendaiframeworkfordrren.pdf. Accessed 26 Jan 2016.

[15]

UNU-EHS (United Nations University Institute for Environment and Human Security). 2013. World risk report 2013. http://www.worldriskreport.org/fileadmin/WRB/PDFs_und_Tabellen/WorldRiskReport_2013_online_01.pdf. Accessed 10 Jun 2014.

[16]

World Bank. 2015. World Bank open data. http://data.worldbank.org. Accessed 20 Apr 2015.

[17]

Zheng GC. Significant historical epic for disaster prevention and reduction in sixty-year of China, 2009, Changsha: Hunan People’s Publishing House (in Chinese)

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