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A robust and accurate surrogate method for monitoring the frequency and duration of combined sewer overflows.
Hofer, Thomas; Montserrat, Albert; Gruber, Guenter; Gamerith, Valentin; Corominas, Lluis; Muschalla, Dirk.
Afiliação
  • Hofer T; Institute of Urban Water Management and Landscape Water Engineering, Graz University of Technology, Stremayrgasse 10/I, 8010, Graz, Austria. thomas.hofer@tugraz.at.
  • Montserrat A; Catalan Institute for Water Research, Scientific and Technological Park of the University of Girona, H2O Building, Emili Grahit 101, 17003, Girona, Spain.
  • Gruber G; Institute of Urban Water Management and Landscape Water Engineering, Graz University of Technology, Stremayrgasse 10/I, 8010, Graz, Austria.
  • Gamerith V; Institute of Urban Water Management and Landscape Water Engineering, Graz University of Technology, Stremayrgasse 10/I, 8010, Graz, Austria.
  • Corominas L; Hydroconsult GmbH, Engineering Company for Environmental Engineering and Water Management, St. Veiter Straße 11a, 8045, Graz, Austria.
  • Muschalla D; Catalan Institute for Water Research, Scientific and Technological Park of the University of Girona, H2O Building, Emili Grahit 101, 17003, Girona, Spain.
Environ Monit Assess ; 190(4): 209, 2018 Mar 11.
Article em En | MEDLINE | ID: mdl-29527633
ABSTRACT
Discharges of untreated wastewater from combined sewer overflows (CSOs) can affect hydraulic stress and have significant environmental impacts on receiving water bodies. Common flow rate and water level sensors for monitoring of CSO events are expensive in terms of investment costs, installation, operation and maintenance. This paper presents a novel surrogate method to detect CSO events by using two low-cost temperature sensors. The novelty is the experimental setup for installation of temperature sensors in CSO structures and an algorithm developed to automatically calculate the duration of CSO events considering the response time of the system. The occurrence and duration of CSO events is computed based on the convergence of the two temperature signals. The method was tested under field conditions in a CSO structure, and the results were compared to the information gathered from a parallel installed flow sensor. The application of two temperature sensors installed inside a CSO structure was proven to be robust and accurate for the automatic detection of the occurrence and duration of CSO events. Within the 7-month test phase, 100% of the 20 CSO events could be detected without false detections. The accuracy of detecting the start and end of the CSO events was 2 min in comparison to the flow sensor.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: Europa Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: Europa Idioma: En Ano de publicação: 2018 Tipo de documento: Article