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Analyzing Hazard Potential of Typhoon Damage by Applying Grey Analytic Hierarchy Process

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  • Szu-Ping Cheng
  • Ru-Yih Wang

Abstract

This study develops a model using the grey analytic hierarchy process to analyze hazard potential of typhoon damage. The main component of the model is the grey analytic hierarchy process involving the analytic hierarchy process and grey relational analysis. First, the model is employed to determine the hazard potential indices. Each region in the project area is then divided into various classes using the two breaking points method to classify appropriately the hazard potential indices. The map of classified hazard potential in the project area can enable decision makers to establish a strategy for preventing flood disaster. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Szu-Ping Cheng & Ru-Yih Wang, 2004. "Analyzing Hazard Potential of Typhoon Damage by Applying Grey Analytic Hierarchy Process," 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. 33(1), pages 77-103, September.
  • Handle: RePEc:spr:nathaz:v:33:y:2004:i:1:p:77-103
    DOI: 10.1023/B:NHAZ.0000035019.39096.b5
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    Citations

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    Cited by:

    1. Omid Rahmati & Ali Haghizadeh & Stefanos Stefanidis, 2016. "Assessing the Accuracy of GIS-Based Analytical Hierarchy Process for Watershed Prioritization; Gorganrood River Basin, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1131-1150, February.
    2. Wei-ping Lou & Hai-yan Chen & Xin-fa Qiu & Qi-yi Tang & Feng Zheng, 2012. "Assessment of economic losses from tropical cyclone disasters based on PCA-BP," 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(3), pages 819-829, February.
    3. Chang-Chi Cheng & Nien-Sheng Hsu & Chih-Chiang Wei, 2008. "Decision-tree analysis on optimal release of reservoir storage under typhoon warnings," 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. 44(1), pages 65-84, January.
    4. Ruibin Zhang & Xin Qian & Wenting Zhu & Hailong Gao & Wei Hu & Jinhua Wang, 2014. "Simulation and Evaluation of Pollution Load Reduction Scenarios for Water Environmental Management: A Case Study of Inflow River of Taihu Lake, China," IJERPH, MDPI, vol. 11(9), pages 1-19, September.
    5. Brodny, Jarosław & Tutak, Magdalena, 2023. "Assessing the level of digital maturity in the Three Seas Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    6. Chi-Feng Chen & Chung-Ming Liu, 2014. "The definition of urban stormwater tolerance threshold and its conceptual estimation: an example from Taiwan," 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. 73(2), pages 173-190, September.
    7. Yi-Ru Chen & Chao-Hsien Yeh & Bofu Yu, 2011. "Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan," 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. 59(3), pages 1261-1276, December.

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