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A robust and accurate surrogate method for monitoring the frequency and duration of combined sewer overflows
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, op...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5846818/ https://www.ncbi.nlm.nih.gov/pubmed/29527633 http://dx.doi.org/10.1007/s10661-018-6589-3 |
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author | Hofer, Thomas Montserrat, Albert Gruber, Guenter Gamerith, Valentin Corominas, Lluis Muschalla, Dirk |
author_facet | Hofer, Thomas Montserrat, Albert Gruber, Guenter Gamerith, Valentin Corominas, Lluis Muschalla, Dirk |
author_sort | Hofer, Thomas |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-018-6589-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5846818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-58468182018-03-20 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 Environ Monit Assess Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-018-6589-3) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-03-11 2018 /pmc/articles/PMC5846818/ /pubmed/29527633 http://dx.doi.org/10.1007/s10661-018-6589-3 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Hofer, Thomas Montserrat, Albert Gruber, Guenter Gamerith, Valentin Corominas, Lluis Muschalla, Dirk A robust and accurate surrogate method for monitoring the frequency and duration of combined sewer overflows |
title | A robust and accurate surrogate method for monitoring the frequency and duration of combined sewer overflows |
title_full | A robust and accurate surrogate method for monitoring the frequency and duration of combined sewer overflows |
title_fullStr | A robust and accurate surrogate method for monitoring the frequency and duration of combined sewer overflows |
title_full_unstemmed | A robust and accurate surrogate method for monitoring the frequency and duration of combined sewer overflows |
title_short | A robust and accurate surrogate method for monitoring the frequency and duration of combined sewer overflows |
title_sort | robust and accurate surrogate method for monitoring the frequency and duration of combined sewer overflows |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5846818/ https://www.ncbi.nlm.nih.gov/pubmed/29527633 http://dx.doi.org/10.1007/s10661-018-6589-3 |
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