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Encounter risk analysis of crop water requirements and effective precipitation based on the copula method in the Hilly Area of Southwest China

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  • Zhang, Yaling
  • Guo, Li
  • Liang, Chuan
  • Zhao, Lu
  • Wang, Junqin
  • Zhan, Cun
  • Jiang, Shouzheng

Abstract

The effective precipitation (Pe) and crop water requirements (ETc) can reflect the agricultural water supply and demand situations under natural precipitation conditions, and the encounter risk analysis of Pe and ETc is a prerequisite for regional water resources allocation and irrigation planning. Considering an entire growing season of rape-maize in the Hilly Area of Southwest China during 1961–2017, this study employed the popular copula functions to fit two-dimensional joint distribution of annual ETc and Pe, and analyzed the natural agriculture water shortages risk of different encounter situations. The results indicated ETc and Pe presented a negative relativity, and the Gaussian copula was found to be more suitable to estimate the joint distribution of ETc and Pe. The asynchronous encounter probability was higher two times than the synchronous encounter probability, and the pairs (rich Pe-poor ETc, poor Pe-rich ETc) had the greatest probability with value of 16.59%, indicating the natural water supply and demand usually was unmatched. The conditional probability of Pe without exceeding a certain value for different ETc states increased with increased Pe, and the conditional probability of ETc with exceeding a certain value for different Pe states decreased with increased ETc. The conditional probability of Pe without exceeding Pe 37.5%, Pe 62.5%, Pe average (ETc exceeding ETc 37.5%, ETc 62.5%, ETc average) for different ETc (Pe) states was 44.97–69.12% (the corresponding return period was 1.45–2.22 years), showing natural agriculture water shortages risk was high under general situations. However, the conditional probabilities of extremely high ETc (low Pe) with given low Pe (high ETc) were less than 3%, so extreme water shortages rarely occurred in the Sichuan Hilly Area. This study successfully applied the copula method to regional agricultural water shortages risk analysis and could provide a theoretical basis for regional water resources management and planning.

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  • Zhang, Yaling & Guo, Li & Liang, Chuan & Zhao, Lu & Wang, Junqin & Zhan, Cun & Jiang, Shouzheng, 2022. "Encounter risk analysis of crop water requirements and effective precipitation based on the copula method in the Hilly Area of Southwest China," Agricultural Water Management, Elsevier, vol. 266(C).
    • Handle: RePEc:eee:agiwat:v:266:y:2022:i:c:s0378377422001184
    DOI: 10.1016/j.agwat.2022.107571
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    1. Esmaeel Dodangeh & Vijay P. Singh & Binh Thai Pham & Jiabo Yin & Guang Yang & Amirhosein Mosavi, 2020. "Flood Frequency Analysis of Interconnected Rivers by Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(11), pages 3533-3549, September.
    2. Jinping Zhang & Yong Zhao & Weihua Xiao, 2014. "Study on Markov Joint Transition Probability and Encounter Probability of Rainfall and Reference Crop Evapotranspiration in the Irrigation District," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5543-5553, December.
    3. Ali Tabrizi & Davar Khalili & Ali Kamgar-Haghighi & Shahrokh Zand-Parsa, 2010. "Utilization of Time-Based Meteorological Droughts to Investigate Occurrence of Streamflow Droughts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4287-4306, December.
    4. Jiang, Shouzheng & Liang, Chuan & Cui, Ningbo & Zhao, Lu & Du, Taisheng & Hu, Xiaotao & Feng, Yu & Guan, Jing & Feng, Yi, 2019. "Impacts of climatic variables on reference evapotranspiration during growing season in Southwest China," Agricultural Water Management, Elsevier, vol. 216(C), pages 365-378.
    5. Harris Vangelis & Mike Spiliotis & George Tsakiris, 2011. "Drought Severity Assessment Based on Bivariate Probability Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(1), pages 357-371, January.
    6. Gong, Xinghui & Zhang, Hongbo & Ren, Chongfeng & Sun, Dongyong & Yang, Jiantao, 2020. "Optimization allocation of irrigation water resources based on crop water requirement under considering effective precipitation and uncertainty," Agricultural Water Management, Elsevier, vol. 239(C).
    7. Alcigeimes Celeste & Max Billib, 2012. "Improving Implicit Stochastic Reservoir Optimization Models with Long-Term Mean Inflow Forecast," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2443-2451, July.
    8. Pereira, L.S. & Paredes, P. & López-Urrea, R. & Hunsaker, D.J. & Mota, M. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for vegetable crops, an update of FAO56 crop water requirements approach," Agricultural Water Management, Elsevier, vol. 243(C).
    9. Jane Qiu, 2010. "China drought highlights future climate threats," Nature, Nature, vol. 465(7295), pages 142-143, May.
    10. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
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    1. Shiang-Jen Wu & Jie-Sen Mai & Yi-Hong Lin & Keh-Chia Yeh, 2022. "Modeling Probabilistic-Based Reliability Analysis for Irrigation Water Supply Due to Uncertainties in Hydrological and Irrigation Factors," Sustainability, MDPI, vol. 14(19), pages 1-25, October.
    2. Zhang, Shuo & Kang, Yan & Gao, Xuan & Chen, Peiru & Cheng, Xiao & Song, Songbai & Li, Lingjie, 2023. "Optimal reservoir operation and risk analysis of agriculture water supply considering encounter uncertainty of precipitation in irrigation area and runoff from upstream," Agricultural Water Management, Elsevier, vol. 277(C).
    3. Zhang, Fan & Cui, Ningbo & Guo, Shanshan & Yue, Qiong & Jiang, Shouzheng & Zhu, Bin & Yu, Xiuyun, 2023. "Irrigation strategy optimization in irrigation districts with seasonal agricultural drought in southwest China: A copula-based stochastic multiobjective approach," Agricultural Water Management, Elsevier, vol. 282(C).
    4. Khaledi-Alamdari, Mohammad & Majnooni-Heris, Abolfazl & Fakheri-Fard, Ahmad & Russo, Ana, 2023. "Probabilistic climate risk assessment in rainfed wheat yield: Copula approach using water requirement satisfaction index," Agricultural Water Management, Elsevier, vol. 289(C).

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