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Heterogeneous hydraulic conductivity and porosity fields reconstruction through steady-state flow and transient solute transport data using the continuous adjoint state

机译:使用连续伴随状态通过稳态流动和瞬态溶质运移数据重建非均质水力传导率和孔隙率场

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A parameter estimation methodology has been developed on the basis of model inversion using a Quasi-Newton method and adaptive parameterization. The continuous adjoint state equations for both flow and transport in porous media are employed as the tool calculating the gradient components of the objective function with respect to parameters. Solving the continuous form of the adjoint equations can be implemented independently of the code used to solve the forward problem, which renders the technique non-intrusive.The developed methodology is applied to the identification of hydraulic conductivity and porosity fields conditioned by piezometric head data associated with steady-state flow and transient solute concentrations. Synthetic numerical experiments have been undertaken for test cases of increasing complexity, from an almost uniform flow sweeping the modeled domain with a prescribed uniform continuous injection of solute at the inflow boundary, to spatially highly variable flow conditions obtained through source/sink terms within the flow domain and a local stepwise solute injection. The results of inversions are analyzed using criteria based on the comparisons between estimated concentration and reference concentration values as well as comparisons between estimated hydraulic conductivity (and porosity for one test case) and reference hydraulic conductivity fields.The results show that employing a continuous adjoint state technique computed independently of the direct problem is an efficient option for parameter estimation relying jointly upon flow and transport data. In the reported numerical examples that are characterized by the identifiability of the flow problem on the basis of hydraulic head observations, concentration data from solute transport scenarios bring few added value to sought solutions of hydraulic conductivities. The spatial structure of the conductivity fields is slightly improved compared with the reference, but the overall system in terms of head distribution, identification of main flow paths, and solute transit times, only inherits cosmetics.
机译:已经基于使用准牛顿法和自适应参数化的模型反演开发了参数估计方法。多孔介质中流动和传输的连续伴随状态方程用作计算目标函数相对于参数的梯度分量的工具。可以独立于求解正向问题的代码来实现求解伴随方程式的连续形式,从而使该技术变得非侵入式。所开发的方法应用于识别由测压水头数据关联的水力传导率和孔隙度场具有稳态流量和瞬时溶质浓度。对于复杂性不断增加的测试案例,已经进行了综合数值实验,从几乎均匀的流量在流入边界处用规定的均匀连续注入溶质扫掠模型域,再到通过流量中的源/汇项获得的空间高度可变的流量条件域和局部逐步溶质注入。根据估计浓度与参考浓度值之间的比较以及估计的水力传导率(和一个测试案例的孔隙率)与参考水力传导率场之间的比较,使用标准来分析反演结果。结果表明,采用连续伴随状态独立于直接问题而计算出的技术是一种共同依赖于流量和传输数据的有效参数估计方法。在所报告的数值示例中,根据液压头的观测结果可识别流量问题,溶质运移情况下的浓度数据几乎没有为水力传导率解决方案带来附加值。与参考相比,电导率场的空间结构略有改善,但是整个系统在水头分布,主要流路识别和溶质迁移时间方面仅继承了化妆品。

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