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Effects on Net Irrigation Water Requirement of Joint Distribution of Precipitation and Reference Evapotranspiration

Author

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  • Feilong Jie

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
    Institute of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Liangjun Fei

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
    Institute of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Shan Li

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
    Institute of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Kun Hao

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
    Institute of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Lihua Liu

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
    Institute of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Youliang Peng

    (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
    Institute of Water Resources and Hydroelectric Engineering, Xi’an University of Technology, Xi’an 710048, China)

Abstract

To establish the uncertain influence that the joint distribution of precipitation and reference evapotranspiration has on net irrigation water requirement, a Copula function–Monte Carlo method (CFMC) was proposed to calculate the probability of irrigation water requirement. Taking the Jingdian Irrigation District in Northwest China as an example, the distribution laws of precipitation and reference evapotranspiration were studied. Furthermore, five typical years under different crop planting structure conditions were selected, and the variation characteristics of net irrigation water requirement in each typical year under the conditions of climate uncertainty were analyzed. The results revealed the optimal distribution functions of precipitation and reference evapotranspiration to be gamma distribution and lognormal distribution. The probability density map of the joint distribution of precipitation and reference evapotranspiration has a “saddle” shape; that is, irrigation water requirement and reference evapotranspiration are usually inversely related. As the probability of the irrigation water requirement increases, the net irrigation water requirement in the irrigation area also increases. The CFMC method can determine the design value of the net irrigation water requirement under a specific probability for typical years under different crop planting structure conditions, which can provide a reference for agricultural water resource allocation in irrigation areas.

Suggested Citation

  • Feilong Jie & Liangjun Fei & Shan Li & Kun Hao & Lihua Liu & Youliang Peng, 2022. "Effects on Net Irrigation Water Requirement of Joint Distribution of Precipitation and Reference Evapotranspiration," Agriculture, MDPI, vol. 12(6), pages 1-16, June.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:6:p:801-:d:829989
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    References listed on IDEAS

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    1. Mehta, Vishal K. & Haden, Van R. & Joyce, Brian A. & Purkey, David R. & Jackson, Louise E., 2013. "Irrigation demand and supply, given projections of climate and land-use change, in Yolo County, California," Agricultural Water Management, Elsevier, vol. 117(C), pages 70-82.
    2. Kuo, Sheng-Feng & Ho, Shin-Shen & Liu, Chen-Wuing, 2006. "Estimation irrigation water requirements with derived crop coefficients for upland and paddy crops in ChiaNan Irrigation Association, Taiwan," Agricultural Water Management, Elsevier, vol. 82(3), pages 433-451, April.
    3. Saadi, Sameh & Todorovic, Mladen & Tanasijevic, Lazar & Pereira, Luis S. & Pizzigalli, Claudia & Lionello, Piero, 2015. "Climate change and Mediterranean agriculture: Impacts on winter wheat and tomato crop evapotranspiration, irrigation requirements and yield," Agricultural Water Management, Elsevier, vol. 147(C), pages 103-115.
    4. Tong, Ling & Kang, Shaozhong & Zhang, Lu, 2007. "Temporal and spatial variations of evapotranspiration for spring wheat in the Shiyang river basin in northwest China," Agricultural Water Management, Elsevier, vol. 87(3), pages 241-250, February.
    5. Jie, Feilong & Fei, Liangjun & Li, Shan & Hao, Kun & Liu, Lihua & Zhu, Hongyan, 2021. "Prediction model for irrigation return flow considering lag effect for arid areas," Agricultural Water Management, Elsevier, vol. 256(C).
    6. Asian Development Bank Institute, 2017. "Asian Water Development Outlook 2016: Description of Methodology and Data," Working Papers id:11721, eSocialSciences.
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    1. Xianli Wang & Zhigang Zhao & Feilong Jie & Jingjing Xu & Sheng Li & Kun Hao & Youliang Peng, 2024. "A Copula Function–Monte Carlo Method-Based Assessment of the Risk of Agricultural Water Demand in Xinjiang, China," Agriculture, MDPI, vol. 14(11), pages 1-23, November.

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