Bo Chen, Fanya Shi, Tingting Lin, Peijun Shi, Jing Zheng. Intensive Versus Extensive Events? Insights from Cumulative Flood-Induced Mortality Over the Globe, 1976–2016[J]. International Journal of Disaster Risk Science, 2020, 11(4): 441-451. doi: 10.1007/s13753-020-00288-5
Citation: Bo Chen, Fanya Shi, Tingting Lin, Peijun Shi, Jing Zheng. Intensive Versus Extensive Events? Insights from Cumulative Flood-Induced Mortality Over the Globe, 1976–2016[J]. International Journal of Disaster Risk Science, 2020, 11(4): 441-451. doi: 10.1007/s13753-020-00288-5

Intensive Versus Extensive Events? Insights from Cumulative Flood-Induced Mortality Over the Globe, 1976–2016

doi: 10.1007/s13753-020-00288-5
Funds:

The first author acknowledges the partial financial support provided by the projects of the National Key Research and Development Program (Grant No. 2016YFA0602404 and 2017YFA0604903) and National Science Foundation of China (Grant No. 41501020). The corresponding author acknowledges the partial financial support provided by the Science and Technology Planning Project of Guangdong Province, China (Grant No. 2017B020244002 and 2019A070716007). We thank our editors and the anonymous reviewers for their valuable suggestions that greatly helped us to improve the quality of this work.

  • Available Online: 2021-04-26
  • More attention has been paid to the cost of intensive but sporadic floods than the cost of extensive but frequent events. To examine the impacts of intensive versus extensive events, we investigated the loss structure of global flood-induced mortality by using the cumulative loss ratio, marginal benefit chart, and cumulative loss plot. Drawing on the flood-induced mortality data for four decades (1976–2016) from the international disaster database EM-DAT, we defined the levels of flood loss according to the frequency of flood-induced deaths, and calculated the cumulative mortality and the marginal benefits of flood loss prevention practices at different levels. Our analysis showed that for the world's leading 30 countries with large flood-induced mortality and different levels of development: (1) 70% of them have the cumulative deaths from extensive floods exceeding half of those caused by intensive floods in the study's four data decades; and (2) 80% of them tend to gain less marginal benefit with increasing levels of flood prevention, with their marginal benefits peaking at loss prevention levels of 2-year or 5-year flood-induced mortality. These results indicate that, in the long run, the cumulative deaths of extensive floods are comparable to that of intensive events, and prevention of loss from extensive events can be an efficient way to reduce the total loss. For flood risk management under conditions of climate change, extensive loss events deserve more consideration.
  • loading
  • Barro, R.J. 2015. Environmental protection, rare disasters and discount rates. Economica 82(325): 1–23.
    Bell, H.M., and G.A. Tobin. 2007. Efficient and effective? The 100-year flood in the communication and perception of flood risk. Environmental Hazards 7(4): 302–311.
    Bezak, N., M. Brilly, and M. Šraj. 2013. Comparison between the peaks-over-threshold method and the annual maximum method for flood frequency analysis. Hydrological Sciences Journal 59(5): 959–977.
    Burgos, A.G., B.D. Hamlington, P.R. Thompson, and R.D. Ray. 2018. Future nuisance flooding in Norfolk, VA, from astronomical tides and annual to decadal internal climate variability. Geophysical Research Letters 45(22): 12,432–12,439.
    Cheng, X.T. 2006. Recent progress in flood management in China. Irrigation and Drainage 55(S1): S75–S82.
    Chow, V.T., D.R. Maidment, and L.W. Mays. 1988. Applied hydrology. McGraw-Hill Series in Water Resources and Environmental Engineering. International Edition. New York: McGraw-Hill.
    Doocy, S., A. Daniels, S. Murray, and T.D. Kirsch. 2013. The human impact of floods: A historical review of events 1980-2009 and systematic literature review. PLOS Currents Disasters. https://doi.org/10.1371/currents.dis.f4deb457904936b07c09daa98ee8171a.
    FEMA (Federal Emergency Management Agency). 2015. NFIP flood insurance manual. https://www.fema.gov/flood-insurance-manual. Accessed 10 Apr 2020.
    General Accounting Office. 2004. Actions to address repetitive loss properties. Testimony of William O. Jenkins, Jr., Director, Homeland Security & Justice Issues. Washington, DC: Subcommittee on Economics Policy, Committee on Banking, Housing, and Urban Affairs, U.S. Senate.
    Haigh, I.D., O. Ozsoy, M.P. Wadey, R.J. Nicholls, S.L. Gallop, T. Wahl, and J.M. Brown. 2017. An improved database of coastal flooding in the United Kingdom from 1915 to 2016. Scientific Data 4: Article 170100.
    Hallegatte, S., C. Green, R.J. Nicholls, and J. Corfee-Morlot. 2013. Future flood losses in major coastal cities. Nature Climate Change 3(9): 802–806.
    Han, G., and R.E. Kasperson. 2011. Dilemmas and pathways to dealing with flood problems in twenty-first century China. International Journal of Disaster Risk Science 2(3): 21–30.
    Hirabayashi, Y., R. Mahendran, S. Koirala, L. Konoshima, D. Yamazaki, S. Watanabe, H. Kim, and S. Kanae. 2013. Global flood risk under climate change. Nature Climate Change 3(9): 816–821.
    Hu, P., Q. Zhang, P. Shi, B. Chen, and J. Fang. 2018. Flood-induced mortality across the globe: Spatiotemporal pattern and influencing factors. Science of The Total Environment 643: 171–182.
    Jha, A.K., B. Robin, and L. Jessica. 2012. Cities and flooding: A guide to integrated urban flood risk management for the 21st century. Washington, DC: The World Bank.
    Jongman, B., S. Hochrainer-Stigler, L. Feyen, J.C.J.H. Aerts, R. Mechler, W.J. Wouter Botzen, L.M. Bouwer, G. Pflug, R. Rojas, and P.J. Ward. 2014. Increasing stress on disaster-risk finance due to large floods. Nature Climate Change 4(4): 264–268.
    Jonkman, S.N. 2005. Global perspectives on loss of human life caused by floods. Natural Hazards 34(2): 151–175.
    Jonkman, S.N., and J.K. Vrijling. 2008. Loss of life due to floods. Journal of Flood Risk Management 1(1): 43–56.
    Kousky, C., and E. Michel-Kerjan. 2017. Examining flood insurance claims in the United States: Six key findings. Journal of Risk and Insurance 84(3): 819–850.
    Kundzewicz, Z.W., I. Pińskwar, and G.R. Brakenridge. 2012. Large floods in Europe, 1985–2009. Hydrological Sciences Journal 58(1): 1–7.
    Kunreuther, H., and M. Pauly. 2004. Neglecting disaster: Why don’t people insure against large losses? Journal of Risk and Uncertainty 28(1): 5–21.
    Lesk, C., P. Rowhani, and N. Ramankutty. 2016. Influence of extreme weather disasters on global crop production. Nature 529(7594): 84–87.
    Lewis, T., and D. Nickerson. 1989. Self-insurance against natural disasters. Journal of Environmental Economics and Management 16(3): 209–223.
    Lim, W.H., D. Yamazaki, S. Koirala, Y. Hirabayashi, S. Kanae, S.J. Dadson, J.W. Hall, and F. Sun. 2018. Long-term changes in global socioeconomic benefits of flood defenses and residual risk based on CMIP5 climate models. Earth’s Future 6(7): 938–954.
    Makkonen, L. 2008. Bringing closure to the plotting position controversy. Communications in Statistics–Theory and Methods 37(3): 460–467.
    Marulanda, M.C., O.D. Cardona, and A.H. Barbat. 2008. The economic and social effects of small disasters: Revision of the local disaster index and the case study of Colombia. In Megacities: Resilience and social vulnerability, ed. H.-G. Bohle, and K. Warner, 110–120. Bonn: Institute for Environment and Human Security, United Nations University.
    Marulanda, M.C., O.D. Cardona, and A.H. Barbat. 2010. Revealing the socioeconomic impact of small disasters in Colombia using the DesInventar database. Disasters 34(2): 552–570.
    Moftakhari, H.R., A. AghaKouchak, B.F. Sanders, M. Allaire, and R.A. Matthew. 2018. What is nuisance flooding? Defining and monitoring an emerging challenge. Water Resources Research 54(7): 4218–4227.
    Moftakhari, H.R., A. AghaKouchak, B.F. Sanders, and R.A. Matthew. 2017. Cumulative hazard: The case of nuisance flooding. Earth’s Future 5(2): 214–223.
    Moore, S. 2018. The political economy of flood management reform in China. International Journal of Water Resources Development 34(4): 566–577.
    Morrison, A., C.J. Westbrook, and B.F. Noble. 2018. A review of the flood risk management governance and resilience literature. Journal of Flood Risk Management 11(3): 291–304.
    NWS (National Weather Service). 2019. Definitions and general terminology. National Weather Service Manual 10–950; Hydrologic services program NWSPD 10–9. Washington, DC: US Department of Commerce, National Oceanic & Atmospheric Administration, National Weather Service.
    Perry, C.A. 2000. Significant floods in the United States during the 20th century: USGS measures a century of floods. Reston, VA: US Department of the Interior, US Geological Survey.
    Schumacher, I., and E. Strobl. 2011. Economic development and losses due to natural disasters: The role of hazard exposure. Ecological Economics 72: 97–105.
    Stevens, A.J., D. Clarke, and R.J. Nicholls. 2014. Trends in reported flooding in the UK: 1884–2013. Hydrological Sciences Journal 61(1): 50–63.
    Sweet, W.V., and J. Park. 2014. From the extreme to the mean: Acceleration and tipping points of coastal inundation from sea level rise. Earth’s Future 2(12): 579–600.
    UNISDR (United Nations International Strategy for Disaster Reduction). 2015. Making development sustainable: The future of disaster risk management. Global assessment report on disaster risk reduction. Geneva: UNISDR.
    Velásquez, C.A., O.D. Cardona, M.G. Mora, L.E. Yamin, M.L. Carreño, and A.H. Barbat. 2014. Hybrid loss exceedance curve (HLEC) for disaster risk assessment. Natural Hazards 72(2): 455–479.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (67) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return