【摘要】 以黄河河套灌区的节水灌溉工程改造为目标,通过一个试验区(沙壕渠灌域)的实际分析,在地下水动力学数值模拟基础上,用Galerkin法对节水工程实施后的地下水动态进行预测,通过更大范围(解放闸灌域)用人工神经网络BP模型的快速算法进行了检验比较认为:成果基本可靠,有一定代表性,可供河套灌区水环境评估与宏观水管理预测和决策参考。更多还原

【Abstract】 Aimed at the water-saving irrigation rehabilitation in the Hetao Irrigation District of Yellow River, the groundwater movement after the implementation of the project is forecasted with Galerkin Method through analysis of the data in an experimental area (Shahao Canal irrigation area) on the basis of groundwater dynamics numeric simulation. Compared with the rapid calculation method by BP model of Artificial Neural Network in a larger area (Jiefang Sluice irrigation Sub-district), the result of the forecast is proved to be reliable and representative. So the result can provide reference for the water environment evaluation and macro water management in the Hetao Irrigation District.更多还原