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Should we trust build-up/wash-off water quality models at the scale of urban catchments?

机译:我们是否应该相信城市集水区规模的集结/冲洗水质量模型?

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摘要

Models of runoff water quality at the scale of an urban catchment usually rely on build-up/wash-off formulations obtained through small-scale experiments. Often, the physical interpretation of the model parameters, valid at the small-scale, is transposed to large-scale applications. Testing different levels of spatial variability, the, parameter distributions of a water quality model are obtained in this paper through a Monte Carlo Markov Chain algorithm and analyzed. The simulated variable is the total suspended solid concentration at the outlet of a periurban catchment in the Paris region (2.3 km(2)), for which high-frequency turbidity measurements are available. This application suggests that build-up/wash-off models applied at the catchment-scale do not maintain their physical meaning, but should be considered as "black-box" models. (C) 2016 Elsevier Ltd. All rights reserved.
机译:城市集水区规模的径流水质模型通常依赖于通过小规模实验获得的集结/冲刷公式。通常,将在小规模有效的模型参数的物理解释转换为大规模应用程序。通过测试不同水平的空间变异性,本文通过蒙特卡洛马尔可夫链算法获得了水质模型的参数分布并进行了分析。模拟变量是巴黎地区(2.3 km(2))的一个城市集水区出口处的总悬浮固体浓度,可以使用该频率进行高频浊度测量。该申请表明,在流域尺度上应用的集结/冲刷模型不能保持其物理意义,但应被视为“黑匣子”模型。 (C)2016 Elsevier Ltd.保留所有权利。

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