The joint distribution of reference crop evapotranspiration and irrigation water in the irrigation district

被引:1
|
作者
Zhang, Jinping [1 ]
Lin, Xiaomin [1 ]
Zhao, Yong [2 ]
机构
[1] Zhengzhou Univ, Inst Water Resources & Environm, Zhengzhou 450001, Henan, Peoples R China
[2] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
来源
基金
国家重点研发计划;
关键词
copula function; irrigation water; joint distribution; reference crop evapotranspiration; water shortage risk; PROBABILITY-DISTRIBUTION; EXTREME RAINFALL; CLIMATE-CHANGE; STORM-SURGE; COPULA; DEPENDENCE; DROUGHTS; INDEX;
D O I
10.2166/ws.2017.127
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
For the irrigation district, irrigation water is the manual water supply for the farmland while reference crop evapotranspiration (ET0) reflects water demand. Thus, the joint distribution of irrigation water and ET0 can reveal water shortage risk under the condition of the manual water supply. In order to understand their relationships and overcome the drawbacks of different marginal distributions of hydrological variables, Archimedean copulas are introduced. Based on the data series of ET0 and irrigation water in the Luhun irrigation district of China, the univariate marginal distributions of ET0 and irrigation water are first selected. Then, with the Gumbel-Hougaard copula in the Archimedean copulas, the joint distribution of ET0 and irrigation water is proposed. The results show that the best-fitting marginal distributions of ET0 and irrigation water are generalized extreme values and normal distributions, respectively, but for their joint distribution, the Gumbel-Hougaard copula is the best-fitting one. The water shortage risks with different encounter situations of ET0 and irrigation water are better revealed using the proposed copula-based joint distribution.
引用
收藏
页码:567 / 576
页数:10
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