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A software-based sensor for combined sewer overflows
Unit of Environmental Engineering, Institute for Infrastructure, University of Innsbruck.ORCID iD: 0000-0003-0367-3449
Unit of Environmental Engineering, Institute for Infrastructure, University of Innsbruck.
Unit of Environmental Engineering, Institute for Infrastructure, University of Innsbruck.
Hydro-IT GmbH.
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2012 (English)In: Water Science and Technology, ISSN 0273-1223, E-ISSN 1996-9732, Vol. 66, no 7, 1475-1482 p.Article in journal (Refereed) Published
Abstract [en]

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 SCADAsystem of the operator and controlling the model. A water quality model could be included to simulate also pollutant concentrations in the excess flow

Place, publisher, year, edition, pages
2012. Vol. 66, no 7, 1475-1482 p.
National Category
Water Engineering
Research subject
Urban Water Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-63165DOI: 10.2166/wst.2012.331PubMedID: 22864433ScopusID: 2-s2.0-84867635752OAI: oai:DiVA.org:ltu-63165DiVA: diva2:1091416
Available from: 2017-04-26 Created: 2017-04-26 Last updated: 2017-04-26Bibliographically approved

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