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Comprehensive Evaluation Model of Debris Flow Risk in Hydropower Projects

Author

Listed:
  • Huaizhi Su

    (Hohai University
    Hohai University)

  • Meng Yang

    (Hohai University
    Hohai University)

  • Yeyuan Kang

    (Hohai University)

Abstract

Debris flow risk in hydropower project is influenced by many factors such as own characteristics of debris flow, the scale and importance of hydropower project. It is a multi-index comprehensive evaluation problem for debris flow risk. According to the features on debris flow risk in hydropower project, the case-based reasoning method and fuzzy optimal recognition method are adopted to build the evaluation model for debris flow risk. Firstly, an evaluation index system of debris flow risk, which can describe the multiple influence factors on debris flow risk in hydropower project, is proposed. Based on the historical debris flow data, a typical debris flow base is established. Secondly, considering the uncertainty of debris flow in hydropower project, two evaluation models of debris flow risk, namely case-based reasoning model and fuzzy optimal recognition model, are established. Lastly, the two models are used to analyze and evaluate the debris flow risk in one actual hydropower project. The capabilities of two models are compared. It is indicated that the proposed models are suitable to be used to implement the comprehensive evaluation of debris flow risk in hydropower projects.

Suggested Citation

  • Huaizhi Su & Meng Yang & Yeyuan Kang, 2016. "Comprehensive Evaluation Model of Debris Flow Risk in Hydropower Projects," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1151-1163, February.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:3:d:10.1007_s11269-015-1217-2
    DOI: 10.1007/s11269-015-1217-2
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    References listed on IDEAS

    as
    1. Huaizhi Su & Meng Yang & Zhiping Wen, 2015. "Multi-Layer Multi-Index Comprehensive Evaluation for Dike Safety," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4683-4699, October.
    2. Ping-Feng Pai & Lan-Lin Li & Wei-Zhan Hung & Kuo-Ping Lin, 2014. "Using ADABOOST and Rough Set Theory for Predicting Debris Flow Disaster," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1143-1155, March.
    3. Chandra Sharma & Mukund Behera & Atmaram Mishra & Sudhindra Panda, 2011. "Assessing Flood Induced Land-Cover Changes Using Remote Sensing and Fuzzy Approach in Eastern Gujarat (India)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3219-3246, October.
    4. Huaizhi Su & Zhiping Wen & Zhongru Wu, 2011. "Study on an Intelligent Inference Engine in Early-Warning System of Dam Health," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1545-1563, April.
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