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Parameterization of a hydrologic model with geophysical data to simulate observed subsurface return flow paths
Vadose Zone Journal ( IF 2.8 ) Pub Date : 2020-04-12 , DOI: 10.1002/vzj2.20024
Niels Claes 1 , Ginger B. Paige 1 , Dario Grana 2 , Andrew D. Parsekian 2, 3
Affiliation  

A portion of water not consumed by crops during flood irrigation can flow back across the surface or through the subsurface to adjacent surface water bodies and streams as return flow. Few studies have directly addressed subsurface processes governing return flow and the importance of structural complexity on hydrologic process representation. It is challenging to measure and model these subsurface flow paths using traditional hydrologic observations. In this study, we assess the impact of subsurface structural complexity on vadose zone flow representation in a two‐dimensional transport model by varying structural complexity derived from background geophysical data. We assessed four model structures each with three soil types of homogeneous hydrologic properties, two of which were evaluated with and without an anisotropy factor. Wetting front arrival times, derived from time‐lapse electrical resistivity measurements during flood irrigation field experiments, were used to evaluate the different representations of soil profile structures. These data indicated both vertical and lateral preferential flow in the subsurface during flood irrigation. Inclusion of anisotropy in the saturated hydraulic conductivity field improved the ability to model subsurface hydrologic behavior when flow processes shifted from uniform to heterogeneous flow, as occurs with lateral subsurface return flow under flood irrigation driven by a large pressure gradient. This reduced the need for detailed spatial discretization to represent these observed subsurface flow processes. The resulting simple three‐layer model structure was better able to model both the vertical and lateral flow processes than a more complex geospatial structure, suggesting that overinterpretation of smoothed inverted profiles could lead to misrepresentation of the subsurface structure.

中文翻译:

利用地球物理数据对水文模型进行参数化,以模拟观测到的地下回流路径

洪水灌溉期间未被农作物消耗的一部分水可以流过地表或通过地下流回相邻的地表水体,并以回流的形式流过。很少有研究直接涉及控制回流的地下过程以及结构复杂性对水文过程表示的重要性。使用传统的水文观测来测量和模拟这些地下流动路径具有挑战性。在这项研究中,我们通过改变从背景地球物理数据得出的结构复杂性,评估了地下结构复杂性对二维运输模型中渗流带流动表示的影响。我们评估了四种模型结构,每种模型结构均具有三种具有均一水文性质的土壤类型,其中两种具有或不具有各向异性因子。从洪水灌溉野外实验期间的时延电阻率测量得出的润湿前到达时间用于评估土壤剖面结构的不同表示形式。这些数据表明在洪水灌溉期间地下的垂直和横向优先流量。当流动过程从均匀流动转变为非均质流动时,在饱和的水力传导率场中包含各向异性可提高对地下水文行为进行建模的能力,例如在大压力梯度驱动下的地下地下回流中发生的情况。这减少了对详细的空间离散化来表示这些观测到的地下流动过程的需求。
更新日期:2020-04-12
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