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Four-dimensional electrical conductivity monitoring of stage-driven river water intrusion: Accounting for water table effects using a transient mesh boundary and conditional inversion constraints

机译:阶段性河水入侵的三维电导率监测:使用瞬态网格边界和条件反演约束来考虑地下水位效应

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摘要

This paper describes and demonstrates two methods of providing a priori information to the surface-based time-lapse three-dimensional electrical resistivity tomography (ERT) problem for monitoring stage-driven or tide-driven surface water intrusion into aquifers. First, a mesh boundary is implemented that conforms to the known location of the water table through time, thereby enabling the inversion to place a sharp bulk conductivity contrast at that boundary without penalty. Second, a nonlinear inequality constraint is used to allow only positive or negative transient changes in EC to occur within the saturated zone, dependent on the relative contrast in fluid electrical conductivity between surface water and groundwater. A 3-D field experiment demonstrates that time-lapse imaging results using traditional smoothness constraints are unable to delineate river water intrusion. The water table and inequality constraints provide the inversion with the additional information necessary to resolve the spatial extent of river water intrusion through time.
机译:本文描述并演示了两种方法,可为基于表面的时移三维电阻率层析成像(ERT)问题提供先验信息,以监测阶段驱动或潮汐驱动的地表水侵入含水层。首先,实现网格边界,该网格边界随时间推移符合地下水位的已知位置,从而使反演能够在该边界处形成明显的体积电导率对比度而不会造成损失。其次,根据地表水和地下水之间的流体电导率的相对差异,非线性不等式约束用于仅在饱和区内发生EC的正或负瞬态变化。 3-D野外实验表明,使用传统平滑度约束条件的延时成像结果无法勾勒出河水入侵的轮廓。地下水位和不等式约束为反演提供了解决随时间推移河水入侵的空间范围所必需的附加信息。

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  • 来源
    《Water resources research》 |2015年第8期|6177-6196|共20页
  • 作者单位

    Pacific NW Natl Lab, Energy & Environm Directorate, Richland, WA 99352 USA;

    Subsurface Insights LLC, Hanover, NH USA;

    Pacific NW Natl Lab, Energy & Environm Directorate, Richland, WA 99352 USA;

    Sandia Natl Labs, Appl Syst Anal & Res, Albuquerque, NM USA;

    Pacific NW Natl Lab, Energy & Environm Directorate, Richland, WA 99352 USA;

    Pacific NW Natl Lab, Fundamental & Computat Sci Directorate, Richland, WA 99352 USA;

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