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Bayesian analysis for erosion modelling of sediments in combined sewer systems

机译:贝叶斯分析在下水道组合系统中的沉积物侵蚀模型

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Previous research has confirmed that the sediments at the bed of combined sewer systems are the main source of particulate and organic pollution during rain events contributing to combined sewer overflows. However, existing urban stormwater models utilize inappropriate sediment transport formulas initially developed from alluvial hydrodynamics. Recently, a model has been formulated and profoundly assessed based on laboratory experiments to simulate the erosion of sediments in sewer pipes taking into account the increase in strength with depth in the weak layer of deposits. In order to objectively evaluate this model, this paper presents a Bayesian analysis of the model using field data collected in sewer pipes in Paris under known hydraulic conditions. The test has been performed using a MCMC sampling method for calibration and uncertainty assessment. Results demonstrate the capacity of the model to reproduce erosion as a direct response to the increase in bed shear stress. This is due to the model description of the erosional strength in the deposits and to the shape of the measured bed shear stress. However, large uncertainties in some of the model parameters suggest that the model could be over-parameterised and necessitates a large amount of informative data for its calibration.
机译:先前的研究已经证实,下水道组合系统河床的沉积物是降雨事件中导致下水道组合溢流的主要颗粒物和有机污染源。但是,现有的城市雨水模型利用了最初由冲积水动力产生的不适当的泥沙运移公式。最近,考虑到沉积物薄弱层的强度随深度的增加,已经建立了一个模型,并根据实验室实验对模型进行了深入评估,以模拟下水道中沉积物的侵蚀。为了客观地评估该模型,本文使用已知水力条件下巴黎下水道中收集的现场数据对模型进行了贝叶斯分析。该测试已使用MCMC采样方法进行校准和不确定性评估。结果表明,该模型具有再现侵蚀的能力,可以作为对床切应力增加的直接响应。这是由于对沉积物中侵蚀强度的模型描述以及所测床层剪切应力的形状所致。但是,某些模型参数存在较大的不确定性,表明该模型可能会被过度参数化,因此需要大量的信息数据对其进行校准。

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