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Estimation of earthquake casualties using high-resolution remote sensing: a case study of Dujiangyan city in the May 2008 Wenchuan earthquake

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Listed:
  • Tienan Feng
  • Zhonghua Hong
  • Hengjing Wu
  • Qiushi Fu
  • Chaoxin Wang
  • Chenghua Jiang
  • Xiaohua Tong

Abstract

From a disaster relief perspective, an immediate and efficient rescue operation after an earthquake can greatly increase the number of survivors. An effective rescue operation depends on two key elements: localisation of the affected areas and estimation of the number of casualties in these areas. Many more studies have been conducted on the localisation of affected areas than on casualty estimation. Consequently, this study develops a model for rapidly estimating the number of casualties using satellite remote sensing (SRS). The model is based on the attributes of damaged buildings, as these buildings cause the greatest harm to inhabitants and they can be detected by SRS. The model uses the damage index (DI) of buildings computed by a numerical damage model derived from SRS images to assess the extent of damage. The DI is then combined with the building’s materials and structure index, which is calculated using information from the local geographic information system, to compute the joint casualty index (JCI). Finally, the number of casualties is estimated by the product of the JCI multiplied by the number of people inside the damaged buildings at the time of the earthquake. The model is then applied to three towns in Dujiangyan City, as these were the areas that most severely affected by the Wenchuan earthquake. Preliminary results showed that there was little difference between the actual and estimated number of casualties. It is recommended that more casualty data should be included in the model to improve the accuracy of estimation. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Tienan Feng & Zhonghua Hong & Hengjing Wu & Qiushi Fu & Chaoxin Wang & Chenghua Jiang & Xiaohua Tong, 2013. "Estimation of earthquake casualties using high-resolution remote sensing: a case study of Dujiangyan city in the May 2008 Wenchuan earthquake," 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. 69(3), pages 1577-1595, December.
    • Handle: RePEc:spr:nathaz:v:69:y:2013:i:3:p:1577-1595
    DOI: 10.1007/s11069-013-0764-1
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    References listed on IDEAS

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    1. Arman Nedjati & Bela Vizvari & Gokhan Izbirak, 2016. "Post-earthquake response by small UAV helicopters," 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. 80(3), pages 1669-1688, February.
    2. Hamid Reza Ranjbar & Alireza A. Ardalan & Hamid Dehghani & Mohammad Reza Saradjian, 2018. "Using high-resolution satellite imagery to provide a relief priority map after earthquake," 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. 90(3), pages 1087-1113, February.
    3. Muhammet Gul & Ali Fuat Guneri, 2016. "An artificial neural network-based earthquake casualty estimation model for Istanbul city," 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. 84(3), pages 2163-2178, December.
    4. Jian Zhao & Fan Ding & Zhe Wang & Jinghuan Ren & Jing Zhao & Yeping Wang & Xuefeng Tang & Yong Wang & Jianyi Yao & Qun Li, 2018. "A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery," IJERPH, MDPI, vol. 15(6), pages 1-18, May.
    5. Arman Nedjati & Bela Vizvari & Gokhan Izbirak, 2016. "Post-earthquake response by small UAV helicopters," 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. 80(3), pages 1669-1688, February.

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