Reasonable regulation of irrigation and drainage is an important way to decrease water resource waste and water pollution, and to ensure the sustainable utilization of water resources. In this study, appropriate irrigation and drainage methods are proposed by optimizing agricultural water and soil resources based on the current status of water resource utilization in irrigation district in Northwest China, and as much as possible to reduce the amount of irrigation and drainage while ensuring the necessary for salt leaching. A two-layer model was considered to maximize economic benefits and relative production through a nonlinear algorithm to optimize the crop acreage, irrigation quota and the amount of irrigation water at each crop growth stage. A support vector machine regression model for predicting drainage was constructed, including drainage and irrigation, precipitation, evaporation and groundwater depth. Additionally, the amount of drainage water was compared before and after the optimization of irrigation. The amount of irrigation water demand in a wet year (2014), normal year (2008) and dry year (2013) decreased by 23.85 million m 3 , 12.85 million m 3 and 17.50 million m 3 , respectively, after optimization of the crop planting structure and irrigation scheduling. Furthermore, the net economic benefit increased by 3.76 billion yuan, 1.14 billion yuan and 2.34 billion yuan, as compared with the actual output value. The amount of drainage water decreased by 8.60%, 8.93% and 5.21% compared to that with no optimization in a wet year (2014), normal year (2008) and dry year (2013), respectively. This method can scientifically allocate the amount of irrigation and drainage, feasibly improve economic benefits and prevent soil salinization, thus providing guidance for efficient water resource utilization and ecological protection in arid areas.

中文翻译：

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景甸灌区农业水土资源优化配置对排灌的影响

合理调节排灌是减少水资源浪费和水污染，保证水资源可持续利用的重要途径。本研究根据西北灌区水资源利用现状，通过优化农业水土资源，提出适宜的排灌方式，在保证灌溉用水的同时，尽可能减少排灌量。盐浸出所必需的。通过非线性算法优化作物种植面积、灌溉定额和每个作物生长阶段的灌溉水量，考虑采用两层模型来最大化经济效益和相对产量。构建了预测排水的支持向量机回归模型，包括排灌、降水、蒸发和地下水深度。此外，还比较了灌溉优化前后的排水量。优化作物种植后，丰水年（2014年）、常年（2008年）和旱年（2013年）灌溉需水量分别减少2385万立方米、1285万立方米和1750万立方米结构和灌溉调度。此外，净经济效益比实际产值分别增加37.6亿元、11.4亿元和23.4亿元。与未优化相比，丰水年（2014年）、常年（2008年）和枯水年（2013年）排水量分别减少8.60%、8.93%和5.21%。