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Chlorine Concentration Modelling and Supervision in Water Distribution Systems
The quality of the drinking water distributed through the networks has become the main concern of most operators. This work focuses on one of the most important variables of the drinking water distribution networks (WDN) that use disinfection, chlorine. This powerful disinfectant must be dosed caref...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331035/ https://www.ncbi.nlm.nih.gov/pubmed/35898083 http://dx.doi.org/10.3390/s22155578 |
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author | Pérez, Ramon Martínez-Torrents, Albert Martínez, Manuel Grau, Sergi Vinardell, Laura Tomàs, Ricard Martínez-Lladó, Xavier Jubany, Irene |
author_facet | Pérez, Ramon Martínez-Torrents, Albert Martínez, Manuel Grau, Sergi Vinardell, Laura Tomàs, Ricard Martínez-Lladó, Xavier Jubany, Irene |
author_sort | Pérez, Ramon |
collection | PubMed |
description | The quality of the drinking water distributed through the networks has become the main concern of most operators. This work focuses on one of the most important variables of the drinking water distribution networks (WDN) that use disinfection, chlorine. This powerful disinfectant must be dosed carefully in order to reduce disinfection byproducts (DBPs). The literature demonstrates researchers’ interest in modelling chlorine decay and using several different approaches. Nevertheless, the full-scale application of these models is far from being a reality in the supervision of water distribution networks. This paper combines the use of validated chlorine prediction models with an intensive study of a large amount of data and its influence on the model’s parameters. These parameters are estimated and validated using data coming from the Supervisory Control and Data Acquisition (SCADA) software, a full-scale water distribution system, and using off-line analytics. The result is a powerful methodology for calibrating a chlorine decay model on-line which coherently evolves over time along with the significant variables that influence it. |
format | Online Article Text |
id | pubmed-9331035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93310352022-07-29 Chlorine Concentration Modelling and Supervision in Water Distribution Systems Pérez, Ramon Martínez-Torrents, Albert Martínez, Manuel Grau, Sergi Vinardell, Laura Tomàs, Ricard Martínez-Lladó, Xavier Jubany, Irene Sensors (Basel) Article The quality of the drinking water distributed through the networks has become the main concern of most operators. This work focuses on one of the most important variables of the drinking water distribution networks (WDN) that use disinfection, chlorine. This powerful disinfectant must be dosed carefully in order to reduce disinfection byproducts (DBPs). The literature demonstrates researchers’ interest in modelling chlorine decay and using several different approaches. Nevertheless, the full-scale application of these models is far from being a reality in the supervision of water distribution networks. This paper combines the use of validated chlorine prediction models with an intensive study of a large amount of data and its influence on the model’s parameters. These parameters are estimated and validated using data coming from the Supervisory Control and Data Acquisition (SCADA) software, a full-scale water distribution system, and using off-line analytics. The result is a powerful methodology for calibrating a chlorine decay model on-line which coherently evolves over time along with the significant variables that influence it. MDPI 2022-07-26 /pmc/articles/PMC9331035/ /pubmed/35898083 http://dx.doi.org/10.3390/s22155578 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pérez, Ramon Martínez-Torrents, Albert Martínez, Manuel Grau, Sergi Vinardell, Laura Tomàs, Ricard Martínez-Lladó, Xavier Jubany, Irene Chlorine Concentration Modelling and Supervision in Water Distribution Systems |
title | Chlorine Concentration Modelling and Supervision in Water Distribution Systems |
title_full | Chlorine Concentration Modelling and Supervision in Water Distribution Systems |
title_fullStr | Chlorine Concentration Modelling and Supervision in Water Distribution Systems |
title_full_unstemmed | Chlorine Concentration Modelling and Supervision in Water Distribution Systems |
title_short | Chlorine Concentration Modelling and Supervision in Water Distribution Systems |
title_sort | chlorine concentration modelling and supervision in water distribution systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331035/ https://www.ncbi.nlm.nih.gov/pubmed/35898083 http://dx.doi.org/10.3390/s22155578 |
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