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Stochastic Modeling of Chemical Oxygen Demand Transformations in Gravity Sewers

机译:重力下水道化学需氧量转化的随机模型

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Wastewater quality characteristics in terms of biomass, its substrates, and the corresponding kinetic and stoichiometric parameters were determined based on 109 wastewater samples originating from five different campaigns in four different sewer networks. Quality parameters were determined by model calibration of measured wastewater oxygen uptake rates applying a model that describes the aerobic breakdown of wastewater organic matter. Thereafter, the distributions of the parameters were analyzed. Two of the five datasets were obtained at the upstream end of a five-km-long, intercepting gravity sewer. For each of these upstream wastewater samples, downstream samples were collected with a delay corresponding to the residence time. The upstream distributions of the wastewater composition were used as boundary conditions for a Monte Carlo simulation. The calculated downstream distributions were compared to the measured downstream distributions and good agreement was observed. Water Environ. Res., 77, 331 (2005).
机译:根据来自四个不同下水道网络中五个不同活动的109个废水样品,确定了以生物量,其底物以及相应的动力学和化学计量参数为依据的废水质量特征。通过使用描述废水有机物需氧分解的模型,通过对测量的废水氧气吸收率进行模型校准来确定质量参数。此后,分析参数的分布。这五个数据集中的两个是在一个五公里长的拦截重力污水的上游端获得的。对于这些上游废水样品中的每一个,都以与停留时间相对应的延迟时间收集下游样品。废水成分的上游分布被用作蒙特卡罗模拟的边界条件。将计算出的下游分布与测得的下游分布进行比较,观察到良好的一致性。水环境。 Res.77,331(2005)。

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