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Joint hydrogeophysical inversion: state estimation for seawater intrusion models in 3D

机译:联合水文地球物理反演:3D海水入侵模型的状态估计

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Seawater intrusion (SWI) is a complex process, where 3D modeling is often necessary in order to monitor and manage the affected aquifers. Here, we present a synthetic study to test a joint hydrogeophysical inversion approach aimed at solving the inverse problem of estimating initial and current saltwater distribution. First, we use a 3D groundwater model for variable density flow based on discretized flow and solute mass balance equations. In addition to the groundwater model, a 3D geophysical model was developed for direct current resistivity imaging and inversion. The objective function of the coupled problem consists of data misfit and regularization terms as well as a coupling term that relates groundwater and geophysical states. We present a novel approach to solve the inverse problem using an alternating direction method of multipliers (ADMM) to minimize this coupled objective function. ADMM enables to treat the groundwater and geophysical part separately and thus use the existing software with minor changes. To further reduce the computational cost, the sensitivities are derived analytically for the discretized system of equations, which allows us to efficiently compute the gradients in the minimization procedure. The method was tested on different synthetic scenarios with groundwater and geophysical data represented by solute mass fraction data and direct current resistivity data. With the ADMM approach, we were able to obtain better estimates for the solute distribution compared to just considering each data separately, solving the problem with a simple coupled approach or by a direct substitution of the coupling constraint.
机译:海水入侵(SWI)是一个复杂的过程,通常需要3D建模才能监视和管理受影响的含水层。在这里,我们提出了一项综合研究,以测试一种联合水文地球物理反演方法,旨在解决估算初始和当前盐水分布的反问题。首先,我们使用基于离散流量和溶质平衡方程的3D地下水模型进行变密度流量。除了地下水模型外,还开发了3D地球物理模型用于直流电阻率成像和反演。耦合问题的目标函数由数据失配和正则项以及与地下水和地球物理状态相关的耦合项组成。我们提出了一种新颖的方法来解决这个问题,它使用乘法器的交替方向方法(ADMM)来最小化此耦合目标函数。 ADMM可以分别处理地下水和地球物理部分,因此只需稍作更改即可使用现有软件。为了进一步降低计算成本,对离散化的方程组进行了敏感性分析,这使我们能够在最小化过程中高效地计算梯度。在溶质质量分数数据和直流电阻率数据表示的地下水和地球物理数据的不同合成场景下对该方法进行了测试。与仅考虑每个数据相比,使用ADMM方法,我们能够获得更好的溶质分布估计值,使用简单的耦合方法或直接替换耦合约束条件即可解决问题。

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