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Groundwater Recharge Rate and Zone Structure Estimation Using PSOLVER Algorithm

机译：利用PSOLVER算法估算地下水补给率和区域结构。

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摘要

The quantification of groundwater recharge is an important but challenging task in groundwater flow modeling because recharge varies spatially and temporally. The goal of this study is to present an innovative methodology to estimate groundwater recharge rates and zone structures for regional groundwater flow models. Here, the unknown recharge field is partitioned into a number of zones using Voronoi Tessellation (VT). The identified zone structure with the recharge rates is associated through a simulation-optimization model that couples MODFLOW-2000 and the hybrid PSOLVER optimization algorithm. Applicability of this procedure is tested on a previously developed groundwater flow model of the Tahtali Watershed. Successive zone structure solutions are obtained in an additive manner and penalty functions are used in the procedure to obtain realistic and plausible solutions. One of these functions constrains the optimization by forcing the sum of recharge rates for the grid cells that coincide with the Tahtah Watershed area to be equal to the areal recharge rate determined in the previous modeling by a separate precipitation-runoff model. As a result, a six-zone structure is selected as the best zone structure that represents the areal recharge distribution. Comparison to results of a previous model for the same study area reveals that the proposed procedure significantly improves model performance with respect to calibration statistics. The proposed identification procedure can be thought of as an effective way to determine the recharge zone structure for groundwater flow models, in particular for situations where tangible information about groundwater recharge distribution does not exist.
机译：在地下水流模型中，地下水补给的量化是一项重要但具有挑战性的任务，因为补给在空间和时间上都会变化。这项研究的目的是提出一种创新的方法来估算区域地下水流模型的地下水补给率和区域结构。在这里，未知补给字段使用Voronoi Tessellation（VT）划分为多个区域。通过结合MODFLOW-2000和混合PSOLVER优化算法的模拟优化模型，可以将识别出的区域结构与补给率关联起来。此程序的适用性在先前开发的Tahtali流域的地下水流模型上进行了测试。以加法的方式获得连续的区域结构解，并且在该过程中使用惩罚函数来获得真实可行的解。这些功能之一通过强制与Tahtah流域面积一致的网格单元的补给率之和等于先前建模中由单独的降雨径流模型确定的面积补给率来约束优化。结果，选择了六区域结构作为代表区域补给分布的最佳区域结构。与相同研究区域中先前模型的结果进行比较后发现，相对于校准统计数据，所提出的程序可显着提高模型性能。所提出的识别程序可以被认为是确定地下水流模型补给区结构的有效方法，特别是对于不存在有关地下水补给分布的切实信息的情况。

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  • 来源
    《Ground water》 |2014年第3期|434-447|共14页
  • 作者

    M. Tamer Ayvaz; Alper Elci;

  • 作者单位

    Department of Civil Engineering, Pamukkale University, 20070 Denizli, Turkey;

    Department of Environmental Engineering, Dokuz Eyluel University, 35160 Buca-lzmir, Turkey;

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