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Analysis of flash flood disaster characteristics in China from 2011 to 2015

Author

Listed:
  • Bingshun He

    (Research Center on Flood and Drought Disaster Reduction of the MWR
    China Institute of Water Resources and Hydropower Research)

  • Xianlong Huang

    (Ministry of Water Resources of the People’s Republic of China)

  • Meihong Ma

    (Beijing Normal University
    Tsinghua University)

  • Qingrui Chang

    (Research Center on Flood and Drought Disaster Reduction of the MWR
    China Institute of Water Resources and Hydropower Research)

  • Yong Tu

    (Research Center on Flood and Drought Disaster Reduction of the MWR
    China Institute of Water Resources and Hydropower Research)

  • Qing Li

    (Research Center on Flood and Drought Disaster Reduction of the MWR
    China Institute of Water Resources and Hydropower Research)

  • Ke Zhang

    (Hohai University)

  • Yang Hong

    (Tsinghua University)

Abstract

Flash floods are one of the most disastrous natural hazards and cause serious loss of life and economic damage every year. Flooding frequently affects many regions in China, including periodically catastrophic events. An extensive compilation of the available data has been conducted across various hydroclimatological regions to analyze the spatiotemporal characteristics of flash floods in China. This inventory includes over 782 documented events and is the first step toward establishing an atlas of extreme flash flood occurrences in China. This paper first presents the data compilation strategy, details of the database contents, and the typical examples of first-hand analysis results. The subsequent analysis indicates that the most extreme flash floods originate mainly from small catchments over complex terrains and results in dominantly small- and medium-sized flooding events in terms of scales; however, these events, abrupt and seasonally recurrent in nature, account for a large proportion of the overall flooding-related disasters, especially disproportionately affecting elderly and youth populations. Finally, this study also recommends several immediate measures could be implemented to mitigate high impacts of deadly flash floods, although it still requires long-term significant efforts to protect human life and property in a country like China.

Suggested Citation

  • Bingshun He & Xianlong Huang & Meihong Ma & Qingrui Chang & Yong Tu & Qing Li & Ke Zhang & Yang Hong, 2018. "Analysis of flash flood disaster characteristics in China from 2011 to 2015," 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(1), pages 407-420, January.
    • Handle: RePEc:spr:nathaz:v:90:y:2018:i:1:d:10.1007_s11069-017-3052-7
    DOI: 10.1007/s11069-017-3052-7
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    References listed on IDEAS

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    1. Lijuan Miao & Feng Zhu & Zhanli Sun & John C. Moore & Xuefeng Cui, 2016. "China’s Land-Use Changes during the Past 300 Years: A Historical Perspective," IJERPH, MDPI, vol. 13(9), pages 1-16, August.
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    Cited by:

    1. Christian L. E. Franzke & Herminia Torelló i Sentelles, 2020. "Risk of extreme high fatalities due to weather and climate hazards and its connection to large-scale climate variability," Climatic Change, Springer, vol. 162(2), pages 507-525, September.
    2. Zaw Myo Khaing & Ke Zhang & Hisaya Sawano & Badri Bhakra Shrestha & Takahiro Sayama & Kazuhiro Nakamura, 2019. "Flood hazard mapping and assessment in data-scarce Nyaungdon area, Myanmar," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-18, November.
    3. Liying Sun & Bingjuan Ma & Liang Pei & Xiaohang Zhang & John L. Zhou, 2021. "The relationship of human activities and rainfall-induced landslide and debris flow hazards in Central 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. 107(1), pages 147-169, May.
    4. Christoph Clar & Lukas Löschner & Ralf Nordbeck & Tatjana Fischer & Thomas Thaler, 2021. "Population dynamics and natural hazard risk management: conceptual and practical linkages for the case of Austrian policy making," 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. 105(2), pages 1765-1796, January.
    5. Ximeng Xu & Qiuhong Tang, 2021. "Meteorological disaster frequency at prefecture-level city scale and induced losses in mainland China during 2011–2019," 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. 109(1), pages 827-844, October.
    6. Xinyu Wan & Qingyan Yang & Peng Jiang & Ping’an Zhong, 2019. "A Hybrid Model for Real-Time Probabilistic Flood Forecasting Using Elman Neural Network with Heterogeneity of Error Distributions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 4027-4050, September.
    7. Raidan Maqtan & Faridah Othman & Wan Zurina Wan Jaafar & Mohsen Sherif & Ahmed El-Shafie, 2022. "A scoping review of flash floods in Malaysia: current status and the way forward," 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. 114(3), pages 2387-2416, December.
    8. Chaowei Xu & Hao Fu & Jiashuai Yang & Lingyue Wang, 2022. "Assessment of the Relationship between Land Use and Flood Risk Based on a Coupled Hydrological–Hydraulic Model: A Case Study of Zhaojue River Basin in Southwestern China," Land, MDPI, vol. 11(8), pages 1-24, July.
    9. Xiaoli Li & Zhiqiang Li & Jiansi Yang & Yaohui Liu & Bo Fu & Wenhua Qi & Xiwei Fan, 2018. "Spatiotemporal characteristics of earthquake disaster losses in China from 1993 to 2016," 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. 94(2), pages 843-865, November.
    10. Mehrnoosh Taherizadeh & Arman Niknam & Thong Nguyen-Huy & Gábor Mezősi & Reza Sarli, 2023. "Flash flood-risk areas zoning using integration of decision-making trial and evaluation laboratory, GIS-based analytic network process and satellite-derived information," 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. 118(3), pages 2309-2335, September.
    11. Dipsikha Devi & Anupal Baruah & Arup Kumar Sarma, 2022. "Characterization of dam-impacted flood hydrograph and its degree of severity as a potential 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. 112(3), pages 1989-2011, July.
    12. Chi Zhang & Xuezhi Gu & Lei Ye & Qian Xin & Xiaoyang Li & Hairong Zhang, 2023. "Climate Informed Non-stationary Modeling of Extreme Precipitation in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3319-3341, July.
    13. Sumit Das & Gianvito Scaringi, 2021. "River flooding in a changing climate: rainfall-discharge trends, controlling factors, and susceptibility mapping for the Mahi catchment, Western India," 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. 109(3), pages 2439-2459, December.

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