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A cascading flash flood guidance system: development and application in Yunnan Province, China

Author

Listed:
  • Ziyue Zeng

    (Tsinghua University)

  • Guoqiang Tang

    (Tsinghua University)

  • Di Long

    (Tsinghua University)

  • Chao Zeng

    (Tsinghua University)

  • Meihong Ma

    (Beijing Normal University)

  • Yang Hong

    (Tsinghua University
    University of Oklahoma
    Tsinghua University)

  • Hui Xu

    (China Meteorological Administration)

  • Jing Xu

    (Chinese Academy of Meteorological Sciences)

Abstract

Yunnan Province, located in Southwest China, suffers from massive flash flood hazards due to its complex mountainous hydrometeorology. However, traditional flash flood forecasting approaches can hardly provide an effective and comprehensive guide. Aiming to build a multilevel guidance system of flash flood warning for Yunnan, this study develops a Cascading Flash Flood Guidance (CFFG) system, progressively from the Flash Flood Potential Index (FFPI), the Flash Flood Hazard Index (FFHI) to the Flash Flood Risk Index (FFRI). First, land cover and vegetation cover data from MODIS products, the Harmonized World Soil Database soil map, and SRTM slope data are used in generating a composite FFPI map. In this process, an integrated approach of the analytic hierarchy process and the information entropy theory is used as a weighting method. Then, three standardized rainfall amounts (average daily amount in flood seasons, maximum 6 h and maximum 24 h amount) are added to derive FFHI. Further inclusion of GDP, population and flood prevention measures as vulnerability factors for the FFRI enabled prediction of the flash flood risk. The spatial patterns of the CFFG indices indicate that counties in east Yunnan are most susceptible to flash floods, which agrees with the distribution of observed flash flood events. Compared to other approaches, the CFFG system could be a useful prototype in mapping characteristics of China’s flash floods in a cascading manner (i.e., potential, hazard and risk) for users at different administrative levels (e.g., town, county, province and even nation).

Suggested Citation

  • Ziyue Zeng & Guoqiang Tang & Di Long & Chao Zeng & Meihong Ma & Yang Hong & Hui Xu & Jing Xu, 2016. "A cascading flash flood guidance system: development and application in Yunnan Province, 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. 84(3), pages 2071-2093, December.
    • Handle: RePEc:spr:nathaz:v:84:y:2016:i:3:d:10.1007_s11069-016-2535-2
    DOI: 10.1007/s11069-016-2535-2
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    References listed on IDEAS

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    Cited by:

    1. Junnan Xiong & Chongchong Ye & Weiming Cheng & Liang Guo & Chenghu Zhou & Xiaolei Zhang, 2019. "The Spatiotemporal Distribution of Flash Floods and Analysis of Partition Driving Forces in Yunnan Province," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
    2. Xiaozhang Hu & Lixiang Song, 2018. "Hydrodynamic modeling of flash flood in mountain watersheds based on high-performance GPU computing," 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. 91(2), pages 567-586, March.
    3. Jun Du & Zhong-jie Fan & Jian Pu, 2020. "Comparative study on flash flood hazard assessment for Nam Ou River Basin, Lao PDR," 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. 102(3), pages 1393-1417, July.
    4. Changjun Liu & Liang Guo & Lei Ye & Shunfu Zhang & Yanzeng Zhao & Tianyu Song, 2018. "A review of advances in China’s flash flood early-warning system," 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. 92(2), pages 619-634, June.

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