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基于软件的合流制污水溢流传感器。

A software-based sensor for combined sewer overflows.

机构信息

Unit of Environmental Engineering, Institute for Infrastructure, University of Innsbruck, Technikerstrasse 13, A 6020 Innsbruck, Austria.

出版信息

Water Sci Technol. 2012;66(7):1475-82. doi: 10.2166/wst.2012.331.

Abstract

A new methodology for online estimation of excess flow from combined sewer overflow (CSO) structures based on simulation models is presented. If sufficient flow and water level data from the sewer system is available, no rainfall data are needed to run the model. An inverse rainfall-runoff model was developed to simulate net rainfall based on flow and water level data. Excess flow at all CSO structures in a catchment can then be simulated with a rainfall-runoff model. The method is applied to a case study and results show that the inverse rainfall-runoff model can be used instead of missing rain gauges. Online operation is ensured by software providing an interface to the SCADA-system of the operator and controlling the model. A water quality model could be included to simulate also pollutant concentrations in the excess flow.

摘要

提出了一种基于模拟模型的用于在线估算合流制污水溢流(CSO)结构超量流量的新方法。如果有足够的下水道系统流量和水位数据,则无需降雨数据即可运行该模型。开发了一个逆降雨-径流模型,根据流量和水位数据模拟净降雨量。然后,可以使用降雨-径流模型模拟流域中所有 CSO 结构的超量流量。该方法应用于案例研究,结果表明,逆降雨-径流模型可用于替代缺失的雨量计。通过提供与操作员的 SCADA 系统接口并控制模型的软件,确保在线操作。可以包括水质模型以模拟超量流量中的污染物浓度。

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