Estimating high hydraulic conductivity locations through a 3D simulation of water flow in soil a resistivity survey
Estimating high hydraulic conductivity locations through a 3D simulation of water flow in soil a resistivity survey
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通过土壤中水流的 3D 模拟和电阻率测量来估计高水力传导率位置
DOI：
10.1071/eg17054
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发表时间：
2017
影响因子：
0.9
通讯作者：
and Daisuke Shoda
中科院分区：
文献类型：
--
作者：
Keisuke Inoue;Hiroomi Nakazato;Tomijiro Kubota;Koji Furue;Hiroshi Yoshisako;Michiaki Konno;and Daisuke Shoda
在这项研究中，我们提出了一种方法来估计高导水率的位置，使用三维模拟的土壤水流和在线电阻率测量数据在地下水补给实验中获得的，我们将这种方法应用到数值和现场实验。高导水率的位置估计从现场观测和模拟的表观渗透率的组合使用以下简单的步骤。(1)假设第一层存在高导水率区，对不同位置存在高导水率区的几种可能的水流模型进行了饱和-非饱和渗流模拟。(2)将模拟的体积含水量转换为体积电阻率，通过模拟电阻率测量，将体积电阻率用于产生视电阻率数据。(3)研究了模拟表观渗透率和现场观测数据之间的差异，并通过最小化上述差异来确定最佳拟合的水力传导率模型。在数值实验中，三维反演的模拟电阻率调查提供了一个图像的优先流，虽然渗透的位置是不清楚的。将现场模型与可能的模型进行比较，现场模型中的高水力传导率位置对应于具有最小误差的可能的模型中的高水力传导率位置。在野外进行火山碎屑岩高原地下水补给实验期间，进行了在线电阻率测量。在线电阻率勘测数据的3D反演提供了优先流的图像。将现场视电阻率数据与模拟视电阻率数据进行比较，误差最小的可能模型的高导水率位置对应于补给水范围，而误差最大的可能模型的导水率位置对应于没有补给水的范围。这些结果表明，它是可能的，以估计高导水率的位置，使用三维模拟的土壤水流和电阻率调查。
In this study, we propose a method to estimate high hydraulic conductivity locations that uses 3D simulation of soil water flow and in-line resistivity survey data acquired during a groundwater recharge experiment, and we apply this method to numerical and field experiments. The high hydraulic conductivity locations are estimated from a combination of field-observed and simulated apparent resistivities using the following simple steps. (1) Assuming that high hydraulic conductivity zones exist in the first layer, simulations of saturated-unsaturated seepage are conducted for several possible water-flow models that have high hydraulic conductivity zones in different locations. (2) The simulated volumetric water contents are converted into bulk resistivities, which are used to produce apparent resistivity data through simulation of a resistivity survey. (3) The differences between the simulated apparent resistivities and the field-observed data are examined, and the best-fit hydraulic conductivity model is identified by minimising the above differences. In the numerical experiment, 3D inversion of the simulated resistivity survey provides an image of the preferential flow, although the infiltration locations are unclear. Comparing the field model with the possible models, the high hydraulic conductivity location in the field model corresponds to the high hydraulic conductivity location in the possible model with the minimum errors. In the field, an in-line resistivity survey was conducted during a groundwater recharge experiment on a pyroclastic plateau. The 3D inversion of the in-line resistivity survey data provides an image of the preferential flow. Comparing the field apparent resistivity data with the simulated apparent resistivity data, the high hydraulic conductivity location of the possible model that provides the minimum error corresponds to the recharge water range, whereas the hydraulic conductivity location of the possible model that gives the maximum errors corresponds to ranges with no recharge water. These results indicate that it is possible to estimate high hydraulic conductivity locations using 3D simulations of the soil water flow and a resistivity survey.