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A Parameter Estimation Technique for a Groundwater Flow Model

机译:地下水流模型的参数估计技术

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In this paper, the problem of ill-posedness of solution in identifying multiple groundwater flow parameters from hydraulic head data and other ancillary data was assessed. The solution approach to the parameter identification problem is sought by applying the Least Squares, the Adjoint, the Conjugate Gradient Method and a proposed Parameter Transformation Method. Numerical test for a 1D and 2D flow models governed by PDEs were used to assess the accuracy and stability of the proposed method. The proposed method gave an appreciable solution estimates with minimal error-norm compared with the o ptimisation techniques explored in the study as a measure to the PTM The results revealed that when the adapted methods and the PTM were simulated numerically on a 1D and 2D test problems, the PTM gave a more stable solution estimates with a residual norm-error value of 2.23500 for the 1D test problem compared with that of the Adjoint method which prove to be the comparing solution with a norm-error value of 2.66500. For the 2D test case, the results also revealed that the PTM was stable with a residual norm-error value of 10.98310 compared with that of the Conjugate Gradient method with value of 86.562. Thus in conclusion, the study revealed that the PTM is capable of yielding realistic solution estimates compared with the studied optimisation methods.
机译:在本文中,评估了识别来自液压头数据和其他辅助数据的多个地下水流量参数的解决方案不良的问题。通过应用最小二乘,伴随,共轭梯度方法和所提出的参数变换方法,寻求参数识别问题的解决方案方法。用于PDE控制的1D和2D流模型的数值测试用于评估所提出的方法的准确性和稳定性。该方法的估计是具有最小误差范围的明显解决方案估计与研究中探讨的o pTimisation技术相比,作为PTM的量度,结果表明,当在1D和2D测试问题上数量模拟适应方法和PTM时,PTM为1D测试问题提供了更稳定的解决方案估计,对于1D测试问题,与伴随方法的兼容方法的追溯方法的剩余标准误差值为2.23500,该求解方法是具有2.66500的常规误差值的比较解决方案。对于2D测试案例,结果还显示PTM与10.98310的残余标准值稳定,与具有86.562的值的共轭梯度法相比。因此,该研究表明,与所研究的优化方法相比,PTM能够产生现实解决方案估计。

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