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首页> 外文期刊>Journal of industrial and engineering chemistry >Groundwater contaminant boundary input flux estimation in a two-dimensional aquifer
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Groundwater contaminant boundary input flux estimation in a two-dimensional aquifer

机译：二维含水层中地下水污染物边界输入通量估算

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摘要

The present study considers the estimation of groundwater input contaminant flux and its transient distribution in a hypothetical two-dimensional aquifer. The paper proposes Kalman filter with recursive least square algorithm (RLSA) technique for the inverse estimation problem. Numerical simulation results reveal that the proposed estimator has outstanding estimation performance both for smooth and abruptly varying input flux. The study further takes into account the dependence of the RLSA technique on the process noise. Selected input scenarios are examined to count for the effect of measurement sensor arrangement and RLSA shows more improved results when sensors number is increased and they are placed closer to the supposed input location.
机译：本研究考虑了假设的二维含水层中地下水输入污染物通量及其瞬态分布的估计。针对逆估计问题，提出了一种具有递归最小二乘算法的卡尔曼滤波器。数值模拟结果表明，所提出的估计器对于平滑和突变的输入通量均具有出色的估计性能。该研究进一步考虑了RLSA技术对过程噪声的依赖性。检查选定的输入方案以计算测量传感器布置的效果，并且当传感器数量增加并且将其放置在更接近假定的输入位置时，RLSA将显示更好的结果。

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