基于PEST的MODFLOW-HYDRUS耦合模型参数优化

发布时间：2018-04-17 04:36

  本文选题：MODFLOW + HYDRUS　； 参考：《中国农村水利水电》2017年07期

【摘要】：为实现饱和、非饱和带水分运动耦合模型参数的有效率定,以内蒙古河套灌区永联试验区的地下水位、土壤含水率实测数据为基础,选用MODFLOW-HYDRUS耦合模型,采用试错法与PEST优化算法相结合的方法,对水文地质参数和土壤水力参数进行优化。优化结果表明:通过PEST算法进行参数优化后,耦合模型模拟精度有所提高,决定系数提高了2%~35%,纳什系数提高了6%~11.3倍,均方根误差减小了5%~20%,标准化均方根误差减小了5%~20%。其中验证期土壤含水率的各项评价指标提高或减小的幅度均为最大,决定系数、纳什系数、均方根误差和标准化均方根误差变化幅度分别为35%、11.3倍、20%和20%。
[Abstract]:In order to achieve saturation and determine the effective rate of the coupling model parameters of unsaturated zone water movement, based on the measured data of groundwater level and soil moisture content in Hetao Irrigation area of Inner Mongolia, MODFLOW-HYDRUS coupling model was selected.The hydrogeological parameters and soil hydraulic parameters were optimized by the combination of trial and error method and PEST optimization algorithm.The optimization results show that the simulation accuracy of the coupled model is improved by using PEST algorithm, the determining coefficient is increased by 2 / 35, the Nash coefficient is increased by 6 / 11.3 times, the root mean square error is reduced by 5 / 20, and the standardized RMS error is reduced by 5 / 20.The range of increasing or decreasing of each evaluation index of soil moisture content in validation period was the largest, and the change range of determining coefficient, Nash coefficient, root mean square error and standardized root mean square error were 35% 11.3 times 20% and 20% respectively.
【作者单位】： 武汉大学水资源与水电工程科学国家重点实验室;
【基金】：国家重点研发计划课题(2016YFC0501304) 国家自然科学基金资助项目(51379151,50376031) 内蒙古自治区水利科技计划项目([2014]117-2)
【分类号】：S152.7
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本文编号：1762122