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Inverse estimation of finite-duration source release mass in river pollution accidents based on adjoint equation method

机译：基于伴随方程法的河流污染事故中有限持续时间源释放块的逆估计

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摘要

Obtaining the pollutant release mass at a timely manner is crucial in emergency response for river pollution accidents. However, compared to the instantaneous source, release mass estimation of finite-duration source has been rarely studied. In addition, few studies involve the influence of partial observation data and observation data with different levels of noise on inversion results. Based on the adjoint equation method (AEM), this study developed a new release mass estimation model to make up the above deficiencies. In this model, one-dimensional physical transport advection-dispersion equation was used as governing equation to describe pollutant transport and the finite-duration sources and instantaneous sources were both considered. Two synthetic experiments and two field experiments were used to evaluate this model. In synthetic experiments, detailed analysis of the influence of observation errors and incomplete concentration data due to equipment failure was conducted. Results indicate that the effect of observation errors on the inverse estimation results was within the relative error of 12%; the incomplete concentration data could also be used to obtain inverse estimation results. The two field experiments gave confidence to the application of this model in release mass estimation in actual pollution accidents with a relative error within 10%. These findings will assist in the decision-making for dealing with actual river pollution accidents.
机译：以及时获得污染物释放质量是河流污染事故的应急响应至关重要。然而，与瞬时源相比，很少研究有限持续时间源的释放质量估计。此外，很少有研究涉及局部观察数据和观察数据对反演结果不同噪声的影响。基于伴随方程方法（AEM），本研究开发了一种新的释放质量估计模型，以弥补上述缺陷。在该模型中，使用一维物理传输平流分散方程作为描述污染物运输的控制方程，并且考虑有限持续时间和瞬时来源。使用两个合成实验和两个现场实验来评估该模型。在合成实验中，进行了对观察误差的影响和由于设备故障引起的观察误差和不完全数据的影响的详细分析。结果表明，观察误差对逆估计结果的影响是在12％的相对误差范围内;不完整的浓度数据也可用于获得逆估计结果。两个现场实验对实际污染事故中的释放群估计进行了信心，在10％以内的相对误差中的实际污染事故中的应用。这些调查结果将有助于处理处理实际河流污染事故的决策。

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