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农业是国民经济的基础,我国90%以上的农田都采用地面灌溉方式,并且灌溉效率很低,对灌溉技术进行改进有很大的节水潜力。对地面灌溉技术进行改善,首先需要确定土壤的入渗参数与田面的糙率系数,这两个系数决定了灌溉效率。基于国内外研究基础,引入Kostiakov公式对地面灌溉参数进行优化识别。重点利用多元回归分析法对灌溉技术的要素进行参数识别优化和多目标优化,希望为今后地面灌溉设计提供理论帮助。
Agriculture is the foundation of the national economy. Over 90% of China’s farmland uses surface irrigation and the irrigation efficiency is very low. There is great potential for water saving in improving irrigation technology. To improve the surface irrigation technology, we first need to determine the soil infiltration parameters and surface roughness coefficient, the two factors determine the irrigation efficiency. Based on the research foundation at home and abroad, the Kostiakov formula is introduced to optimize the surface irrigation parameters. The multiple regression analysis method is used to carry out parameter optimization and multi-objective optimization of irrigation technology elements, hoping to provide theoretical help for the design of groundwater irrigation in the future.