文献类型： 外文期刊
作者： Zheng, Zipiao 1 ; Wei, Xin 1 ; Wang, Liang 1 ; Guo, Rensong 1 ; Xu, Haijiang 1 ;
作者机构： 1.Xinjiang Acad Agr Sci, Inst Econ Crops, Urumqi 830091, Peoples R China
关键词： efficiency evaluation; information statistics sequence; irrigation water; super efficiency DEA; Xinjiang cotton field
期刊名称：WATER SUPPLY （ 影响因子：1.7； 五年影响因子：1.7 ）
ISSN： 1606-9749
年卷期： 2023 年 23 卷 3 期
页码：
收录情况： SCI
摘要： Current irrigation water use efficiency assessment methods can not accurately predict irrigation water use, leading to greater errors in water use efficiency assessment. Therefore, a new method based on data envelopment analysis (DEA) model is proposed to evaluate the irrigation water use efficiency of cotton fields in Xinjiang. The super efficiency DEA model is established by introducing the super efficiency DEA method and adjusting the predicted amount and actual amount of irrigation water use. Genetic algorithm is used to improve the super-efficiency DEA model. The indexes obtained include the indexes reflecting water resources conditions, water use situation and economic aspects, and the statistical sequence model of cotton field irrigation water information is established. Given the demand and actual usage of irrigation water for cotton fields, the numerical relationship between the demand and usage was defined by integrating the two indices as the index data set. The experimental results show that the proposed method can accurately predict the water consumption of cotton field irrigation, and the efficiency of irrigation water consumption can reach 90%.
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