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Drought disaster risk management based on optimal allocation of water resources

Author

Listed:
  • Xiao Liu

    (China Agricultural University)

  • Ping Guo

    (China Agricultural University)

  • Qian Tan

    (China Agricultural University)

  • Fan Zhang

    (China Agricultural University)

  • Yan Huang

    (Heilongjiang Province Hydraulic Research Institute)

  • Youzhi Wang

    (China Agricultural University)

Abstract

Drought risk management has gradually emerged as an important discipline and the traditional negative drought management changes to active drought management. Drought risk assessment and control are the core of drought risk management. In this study, based on precipitation anomaly (Pa) and soil moisture content anomaly index, the stochastic drought index model was established to calculate the drought distribution under different probability. Considering risk of disaster (H), vulnerability of the environment (S), exposure of the disaster bearing body (V), and disaster prevention and mitigation capability (C), a water resource optimization allocation model based on drought disaster risk assessment model was established to minimize the regional drought disaster risk. The developed models were used in Heilongjiang Province, China, and the results showed that: (1) the drought indexes based on the stochastic method can reflect the regional drought under different probabilities, providing managers with comprehensive drought information to manage the disaster; (2) the optimal allocation of water resources can reduce the risk of drought disaster in drought-prone months and drought-prone areas; and (3) studying drought risk assessment and regulation considering grain yield can be used to effectively understand and alleviate drought effects in the study area, reduce farmers' economic losses and ensure local food security. Graphic abstract

Suggested Citation

  • Xiao Liu & Ping Guo & Qian Tan & Fan Zhang & Yan Huang & Youzhi Wang, 2021. "Drought disaster risk management based on optimal allocation of water resources," 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. 108(1), pages 285-308, August.
    • Handle: RePEc:spr:nathaz:v:108:y:2021:i:1:d:10.1007_s11069-021-04680-2
    DOI: 10.1007/s11069-021-04680-2
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    References listed on IDEAS

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    1. Ying Li & Wei Gu & Weijia Cui & Zhiyun Chang & Yingjun Xu, 2015. "Exploration of copula function use in crop meteorological drought risk analysis: a case study of winter wheat in Beijing, 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. 77(2), pages 1289-1303, June.
    2. Nicholas Magnan & Travis J. Lybbert & Rachid Mrabet & Aziz Fadlaoui, 2011. "The Quasi-Option Value of Delayed Input Use under Catastrophic Drought Risk: The Case of No-Till in Morocco," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 498-504.
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    Cited by:

    1. Yu, Haichao & Li, Sien & Ding, Jie & Yang, Tianyi & Wang, Yuexin, 2023. "Water use efficiency and its drivers of two typical cash crops in an arid area of Northwest China," Agricultural Water Management, Elsevier, vol. 287(C).

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