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降雨期间利用浊度监测实时控制下水道污染物排放的潜力。

Potential of turbidity monitoring for real time control of pollutant discharge in sewers during rainfall events.

作者信息

Lacour C, Joannis C, Gromaire M-C, Chebbo G

机构信息

Université Paris-Est, Cereve, UMR-MA-102, AgroParisTech, Champs-sur-Marne Cedex 2 77455, France.

出版信息

Water Sci Technol. 2009;59(8):1471-8. doi: 10.2166/wst.2009.169.

Abstract

Turbidity sensors can be used to continuously monitor the evolution of pollutant mass discharge. For two sites within the Paris combined sewer system, continuous turbidity, conductivity and flow data were recorded at one-minute time intervals over a one-year period. This paper is intended to highlight the variability in turbidity dynamics during wet weather. For each storm event, turbidity response aspects were analysed through different classifications. The correlation between classification and common parameters, such as the antecedent dry weather period, total event volume per impervious hectare and both the mean and maximum hydraulic flow for each event, was also studied. Moreover, the dynamics of flow and turbidity signals were compared at the event scale. No simple relation between turbidity responses, hydraulic flow dynamics and the chosen parameters was derived from this effort. Knowledge of turbidity dynamics could therefore potentially improve wet weather management, especially when using pollution-based real-time control (P-RTC) since turbidity contains information not included in hydraulic flow dynamics and not readily predictable from such dynamics.

摘要

浊度传感器可用于持续监测污染物排放总量的变化情况。在巴黎合流制排水系统中的两个地点,在一年的时间里以一分钟的时间间隔记录了连续的浊度、电导率和流量数据。本文旨在突出潮湿天气期间浊度动态变化的差异。对于每一次暴雨事件,通过不同的分类方式分析了浊度响应方面。还研究了分类与常见参数之间的相关性,如前期干旱天气时长、每公顷不透水面积的总事件量以及每次事件的平均和最大水力流量。此外,还在事件尺度上比较了流量和浊度信号的动态变化。通过这项研究,未得出浊度响应、水力流动动力学与所选参数之间的简单关系。因此,了解浊度动态变化可能会改善潮湿天气的管理,特别是在使用基于污染的实时控制(P-RTC)时,因为浊度包含了水力流动动力学中未包含的信息,且难以从这种动力学中轻易预测。

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