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Quick and Approximate Estimation of Earthquake Loss Based on Macroscopic Index of Exposure and Population Distribution

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  • Qi-Fu Chen
  • Yong Chen
  • Jie Liu
  • Ling Chen

Abstract

In the traditional method of earthquake loss estimation, all exposed facilities are classified according to their structural type and/or occupancy. Inventory data is collected and the total loss is estimated as the aggregate of all facility losses from each facility class separately. For many regions of the world, however, the vast amount of data required for this method is difficult or impossible to obtain. The traditional method is also unable to estimate quickly the loss from an unexpected catastrophic earthquake. It is difficult to give the necessary risk information to help the government with rescue and relief after the earthquake disaster. In this paper, we propose a quick and approximate estimation method of earthquake loss based on a macroscopic index of exposure and population distribution from GIS. This method was applied to analyze several earthquake scenarios with World Bank and CIESIN data. The preliminary analysis and comparison results show that our method is effective and reasonable for quick assessment of earthquake risk. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • Qi-Fu Chen & Yong Chen & Jie Liu & Ling Chen, 1997. "Quick and Approximate Estimation of Earthquake Loss Based on Macroscopic Index of Exposure and Population Distribution," 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. 15(2), pages 215-229, May.
    • Handle: RePEc:spr:nathaz:v:15:y:1997:i:2:p:215-229
    DOI: 10.1023/A:1007983209672
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    Citations

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    Cited by:

    1. A. Kijko & S. Retief & G. Graham, 2003. "Seismic Hazard and Risk Assessment for Tulbagh, South Africa: Part II – Assessment of Seismic Risk," 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. 30(1), pages 25-41, September.
    2. Seda Kundak, 2004. "Economic loss estimation for earthquake hazard in Istanbul," ERSA conference papers ersa04p196, European Regional Science Association.
    3. Lizhe Jia & Hui Li & Zhongdong Duan, 2012. "Convex model for gross domestic product-based dynamic earthquake loss assessment method," 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. 60(2), pages 589-604, January.
    4. Max Wyss & Azm Al-Homoud, 2004. "Scenarios of Seismic Risk in the United Arab Emirates, an Approximate Estimate," 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. 32(3), pages 375-393, July.
    5. Giovanni Marin & Marco Modica, 2016. "Mapping the exposure to natural disaster losses for Italian municipalities," SEEDS Working Papers 0916, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Oct 2016.
    6. Chen Yong & Chen Ling & Federico Güendel & Ota Kulhánek & Li Juan, 2002. "Seismic Hazard and Loss Estimation for Central America," 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. 25(2), pages 161-175, February.

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