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The impact of irrigation water supply rate on agricultural drought disaster risk: a case about maize based on EPIC in Baicheng City, China

Author

Listed:
  • Zhongyi Sun
  • JiQuan Zhang
  • DengHua Yan
  • Lan Wu
  • Enliang Guo

Abstract

This study presents a methodology for risk analysis, assessment, and combination of drought disasters under the different irrigational levels in Baicheng City, which is supported by run theory, copula functions, crop growth model, and technique of natural disaster risk assessment from the viewpoints of climatology, geography, hydrology, agricultural science, disaster science, environmental science, and so on. Along with the global warming, the occurrences of water-related disasters become more frequent and more serious. It is necessary to determine the laws of the relationship between irrigational ability and the loss caused by drought. Drought events were identified by using run theory; the drought frequency was calculated by using copula function; the loss of every drought event was simulated by using EPIC model; and the relationship curves under the different irrigational supply conditions between the drought frequency and the yield reduction rate of the drought event were fitted to assess the impact of irrigational supply rate on the loss caused by drought. The results show that in the range of crop water demand, the loss caused by drought decreases as the result of the increase in irrigational supply rate; however, their variations are not proportional. The loss caused by the certain frequency drought event under the certain irrigational supply condition could be calculated by the curve of drought disaster risk assessment constructed by this study. The results obtained from this study are specifically intended to support local and national governmental agencies on agricultural disaster management. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Zhongyi Sun & JiQuan Zhang & DengHua Yan & Lan Wu & Enliang Guo, 2015. "The impact of irrigation water supply rate on agricultural drought disaster risk: a case about maize based on EPIC in Baicheng City, 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. 78(1), pages 23-40, August.
    • Handle: RePEc:spr:nathaz:v:78:y:2015:i:1:p:23-40
    DOI: 10.1007/s11069-015-1695-9
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    Citations

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    Cited by:

    1. Xiaobing Yu & Xianrui Yu & Yiqun Lu, 2018. "Evaluation of an Agricultural Meteorological Disaster Based on Multiple Criterion Decision Making and Evolutionary Algorithm," IJERPH, MDPI, vol. 15(4), pages 1-17, March.
    2. Qiao, Jianmin & Cao, Qian & Liu, Yupeng & Wu, Quanyuan, 2018. "Scale dependence and parameter sensitivity of the EPIC model in the agro-pastoral transitional zone of north China," Ecological Modelling, Elsevier, vol. 390(C), pages 51-61.
    3. Manman Zhang & Dang Luo & Yongqiang Su, 2022. "Drought monitoring and agricultural drought loss risk assessment based on multisource information fusion," 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. 111(1), pages 775-801, March.
    4. Zikang Xing & Miaomiao Ma & Yongqiang Wei & Xuejun Zhang & Zhongbo Yu & Peng Yi, 2020. "A new agricultural drought index considering the irrigation water demand and water supply availability," 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. 104(3), pages 2409-2429, December.

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