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Climate-Related Hazards: A Method for Global Assessment of Urban and Rural Population Exposure to Cyclones, Droughts, and Floods

Author

Listed:
  • Elizabeth Christenson

    (The Water Institute, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27516, USA)

  • Mark Elliott

    (Department of Civil, Construction and Environmental Engineering, University of Alabama, Tuscaloosa, AL 35406, USA)

  • Ovik Banerjee

    (The Water Institute, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27516, USA)

  • Laura Hamrick

    (The Water Institute, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27516, USA)

  • Jamie Bartram

    (The Water Institute, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27516, USA)

Abstract

Global climate change (GCC) has led to increased focus on the occurrence of, and preparation for, climate-related extremes and hazards. Population exposure, the relative likelihood that a person in a given location was exposed to a given hazard event(s) in a given period of time, was the outcome for this analysis. Our objectives were to develop a method for estimating the population exposure at the country level to the climate-related hazards cyclone, drought, and flood; develop a method that readily allows the addition of better datasets to an automated model; differentiate population exposure of urban and rural populations; and calculate and present the results of exposure scores and ranking of countries based on the country-wide, urban, and rural population exposures to cyclone, drought, and flood. Gridded global datasets on cyclone, drought and flood occurrence as well as population density were combined and analysis was carried out using ArcGIS. Results presented include global maps of ranked country-level population exposure to cyclone, drought, flood and multiple hazards. Analyses by geography and human development index (HDI) are also included. The results and analyses of this exposure assessment have implications for country-level adaptation. It can also be used to help prioritize aid decisions and allocation of adaptation resources between countries and within a country. This model is designed to allow flexibility in applying cyclone, drought and flood exposure to a range of outcomes and adaptation measures.

Suggested Citation

  • Elizabeth Christenson & Mark Elliott & Ovik Banerjee & Laura Hamrick & Jamie Bartram, 2014. "Climate-Related Hazards: A Method for Global Assessment of Urban and Rural Population Exposure to Cyclones, Droughts, and Floods," IJERPH, MDPI, vol. 11(2), pages 1-24, February.
  • Handle: RePEc:gam:jijerp:v:11:y:2014:i:2:p:2169-2192:d:33169
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    References listed on IDEAS

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    1. Andrew Tatem & Catherine Linard, 2011. "Population mapping of poor countries," Nature, Nature, vol. 474(7349), pages 36-36, June.
    2. Silvia Mosquera-Machado & Maxx Dilley, 2009. "A comparison of selected global disaster risk assessment results," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 48(3), pages 439-456, March.
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    4. repec:wbk:wbpubs:7376 is not listed on IDEAS
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    Cited by:

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