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Hazard Assessment of Debris Flows in the Reservoir Region of Wudongde Hydropower Station in China

Author

Listed:
  • Cencen Niu

    (College of Construction Engineering, Jilin University, Ximinzhu Street 938, Changchun 130000, China)

  • Qing Wang

    (College of Construction Engineering, Jilin University, Ximinzhu Street 938, Changchun 130000, China)

  • Jianping Chen

    (College of Construction Engineering, Jilin University, Ximinzhu Street 938, Changchun 130000, China)

  • Wen Zhang

    (College of Construction Engineering, Jilin University, Ximinzhu Street 938, Changchun 130000, China)

  • Liming Xu

    (The Third Railway Survey and Design Institute Group Corporation, Tianjin 300143, China)

  • Ke Wang

    (Jilin Institute of Geological Environment Monitoring, Changchun 130000, China)

Abstract

The outbreak of debris flows in a reservoir region can affect the stability of hydropower stations and threaten the lives of the people living downstream of dams. Therefore, determining the hazard degree of debris flows in a reservoir region is of great importance. SPOT5 remote sensing images and digital elevation models are introduced to determine the characteristics of debris-flow catchments. The information is acquired through comprehensive manual investigation and satellite image interpretation. Ten factors that influence debris flow are extracted for the hazard assessment. The weight of these factors is determined using the analytic hierarchy process method. As a multi-criterion decision analysis method, fuzzy synthetic evaluation is applied for hazard assessment.

Suggested Citation

  • Cencen Niu & Qing Wang & Jianping Chen & Wen Zhang & Liming Xu & Ke Wang, 2015. "Hazard Assessment of Debris Flows in the Reservoir Region of Wudongde Hydropower Station in China," Sustainability, MDPI, vol. 7(11), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:11:p:15099-15118:d:58823
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    References listed on IDEAS

    as
    1. Wen Zhang & Jian-ping Chen & Qing Wang & Yuke An & Xin Qian & Liangjun Xiang & Longxiang He, 2013. "Susceptibility analysis of large-scale debris flows based on combination weighting and extension methods," 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. 66(2), pages 1073-1100, March.
    2. Wen Zhang & Hui-Zhong Li & Jian-ping Chen & Chen Zhang & Li-ming Xu & Wei-feng Sang, 2011. "Comprehensive hazard assessment and protection of debris flows along Jinsha River close to the Wudongde dam site in China," 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. 58(1), pages 459-477, July.
    3. Guangxu Liu & Erfu Dai & Quansheng Ge & Wenxiang Wu & Xinchuang Xu, 2013. "A similarity-based quantitative model for assessing regional debris-flow hazard," 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(1), pages 295-310, October.
    4. Tung-Chiung Chang, 2007. "Risk degree of debris flow applying neural networks," 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. 42(1), pages 209-224, July.
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    Cited by:

    1. Li, Huanhuan & Xu, Beibei & Arzaghi, Ehsan & Abbassi, Rouzbeh & Chen, Diyi & Aggidis, George A. & Zhang, Jingjing & Patelli, Edoardo, 2020. "Transient safety assessment and risk mitigation of a hydroelectric generation system," Energy, Elsevier, vol. 196(C).
    2. Chen Cao & Peihua Xu & Jianping Chen & Lianjing Zheng & Cencen Niu, 2016. "Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner, Inner Mongolia, China," IJERPH, MDPI, vol. 14(1), pages 1-19, December.
    3. Peizhen Li & Tangzhenhao Li & Zheng Lu & Jin Li, 2017. "Study on Dynamic Response of Novel Masonry Structures Impacted by Debris Flow," Sustainability, MDPI, vol. 9(7), pages 1-22, June.
    4. Guangliang Feng & Guoqing Xia & Bingrui Chen & Yaxun Xiao & Ruichen Zhou, 2019. "A Method for Rockburst Prediction in the Deep Tunnels of Hydropower Stations Based on the Monitored Microseismicity and an Optimized Probabilistic Neural Network Model," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    5. Ciro Apollonio & Gabriella Balacco & Antonio Novelli & Eufemia Tarantino & Alberto Ferruccio Piccinni, 2016. "Land Use Change Impact on Flooding Areas: The Case Study of Cervaro Basin (Italy)," Sustainability, MDPI, vol. 8(10), pages 1-18, October.

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