AbstractPollution caused by combined sewer overflows has become a global threat to the environment. Under this challenge, quality-based real-time control (RTC) is considered as an effective approach to minimize pollution through generating optimal operation strategies for the sewer infrastructure. To suit the fast computation requirement of RTC implementation, simplified quality models are required. However, due to the hydrological complexity, it is not easy to develop simplified quality models which are amenable to be used in real-time computations. Under this context, this paper contributes a preliminary analysis of influencing factors for the quality models of sewer networks in order to give supportive knowledge for both model development and application. Conceptual quality models which were proposed previously by the authors, with total suspended solids (TSS) as quality indicator, are used in this study. A clustering algorithm is used for exploratory analysis. Further analysis about the correlations between different factors and model performance is also carried out. The study and analysis are demonstrated on a real pilot based on the Louis Fargue urban catchment in Bordeaux. Conclusive results about the influencing factors, flow rate, rain intensity and pipe length, as well as their correlations with the TSS models are elaborated.

中文翻译：

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影响下水道管网暴雨水质模型的因素及法国波尔多Louis Fargue城市流域的案例研究

摘要合流下水道溢出造成的污染已成为全球环境的威胁。在此挑战下，基于质量的实时控制（RTC）被认为是通过为下水道基础设施制定最佳运营策略来最大限度地减少污染的有效方法。为了适应 RTC 实现的快速计算要求，需要简化的质量模型。然而，由于水文的复杂性，开发适合实时计算的简化质量模型并不容易。在此背景下，本文对污水管网质量模型的影响因素进行了初步分析，为模型的开发和应用提供支撑知识。本研究使用了作者之前提出的概念质量模型，以总悬浮固体（TSS）作为质量指标。聚类算法用于探索性分析。还进一步分析了不同因素与模型性能之间的相关性。这项研究和分析是在基于波尔多路易斯法尔格城市流域的真实试点中进行的。详细阐述了影响因素、流量、降雨强度和管道长度以及它们与 TSS 模型的相关性的结论性结果。