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污水条件对城市内涝的影响:基于全水动力模型现场观测和蒙特卡罗模拟的不确定性分析。

Impact of sewer condition on urban flooding: an uncertainty analysis based on field observations and Monte Carlo simulations on full hydrodynamic models.

机构信息

Gemeente Utrecht, Utrecht, The Netherlands.

出版信息

Water Sci Technol. 2012;65(12):2219-27. doi: 10.2166/wst.2012.134.

Abstract

In-sewer defects are directly responsible for affecting the performance of sewer systems. Notwithstanding the impact of the condition of the assets on serviceability, sewer performance is usually assessed assuming the absence of in-sewer defects. This leads to an overestimation of serviceability. This paper presents the results of a study in two research catchments on the impact of in-sewer defects on urban pluvial flooding at network level. Impacts are assessed using Monte Carlo simulations with a full hydrodynamic model of the sewer system. The studied defects include root intrusion, surface damage, attached and settled deposits, and sedimentation. These defects are based on field observations and translated to two model parameters (roughness and sedimentation). The calculation results demonstrate that the return period of flooding, number of flooded locations and flooded volumes are substantially affected by in-sewer defects. Irrespective of the type of sewer system, the impact of sedimentation is much larger than the impact of roughness. Further research will focus on comparing calculated and measured behaviour in one of the research catchments.

摘要

管道内缺陷直接影响排水系统的性能。尽管资产状况对可用性有影响,但通常在假设不存在管道内缺陷的情况下评估排水性能。这导致了对可用性的高估。本文介绍了在两个研究流域中进行的一项研究的结果,该研究旨在评估管道内缺陷对城市雨洪在管网层面的影响。使用完整的排水系统水动力模型进行蒙特卡罗模拟来评估影响。研究中的缺陷包括根系入侵、表面损坏、附着和沉降沉积物以及淤积。这些缺陷基于现场观测,并转化为两个模型参数(粗糙度和淤积)。计算结果表明,洪水的重现期、淹没地点的数量和淹没体积都受到管道内缺陷的显著影响。无论排水系统类型如何,淤积的影响都比粗糙度的影响大得多。进一步的研究将集中在比较其中一个研究流域中的计算和测量行为。

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