URV's Author/s: | Martínez del Álamo, Manuel |
Author, as appears in the article.: | Perez, Ramon; Martinez-Torrents, Albert; Martinez, Manuel; Grau, Sergi; Vinardell, Laura; Tomas, Ricard; Martinez-Llado, Xavier; Jubany, Irene |
Author's mail: | manuel.martinezd@urv.cat |
Author identifier: | 0000-0003-3910-5224 |
Journal publication year: | 2022 |
Publication Type: | Journal Publications |
APA: | Perez, Ramon; Martinez-Torrents, Albert; Martinez, Manuel; Grau, Sergi; Vinardell, Laura; Tomas, Ricard; Martinez-Llado, Xavier; Jubany, Irene (2022). Chlorine Concentration Modelling and Supervision in Water Distribution Systems. Sensors, 22(15), 5578-. DOI: 10.3390/s22155578 |
Paper original source: | Sensors. 22 (15): 5578- |
Abstract: | 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. |
Article's DOI: | 10.3390/s22155578 |
Link to the original source: | https://www.mdpi.com/1424-8220/22/15/5578?type=check_update&version=1 |
Paper version: | info:eu-repo/semantics/publishedVersion |
licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
Department: | Enginyeria Mecànica |
Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
Thematic Areas: | Zootecnia / recursos pesqueiros Química Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Linguística e literatura Letras / linguística Interdisciplinar Instruments & instrumentation Instrumentation Information systems Geografía Geociências Farmacia Engineering, electrical & electronic Engenharias iv Engenharias iii Engenharias ii Engenharias i Electrochemistry Electrical and electronic engineering Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, analytical Biotecnología Biodiversidade Biochemistry Atomic and molecular physics, and optics Astronomia / física Arquitetura, urbanismo e design Analytical chemistry |
Keywords: | Water purification Water pollutants, chemical Water distribution networks Supervision Modelling Drinking-water Drinking water Disinfection Disinfectants Decay model Chlorine water distribution networks supervision modelling decay model |
Entity: | Universitat Rovira i Virgili |
Record's date: | 2025-02-18 |
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. |
Title: | Chlorine Concentration Modelling and Supervision in Water Distribution Systems |
Type: | Journal Publications |
Contributor: | Universitat Rovira i Virgili |
Subject: | Analytical Chemistry,Atomic and Molecular Physics, and Optics,Biochemistry,Chemistry, Analytical,Electrical and Electronic Engineering,Electrochemistry,Engineering, Electrical & Electronic,Information Systems,Instrumentation,Instruments & Instrumentation,Medicine (Miscellaneous) Water purification Water pollutants, chemical Water distribution networks Supervision Modelling Drinking-water Drinking water Disinfection Disinfectants Decay model Chlorine water distribution networks supervision modelling decay model Zootecnia / recursos pesqueiros Química Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Linguística e literatura Letras / linguística Interdisciplinar Instruments & instrumentation Instrumentation Information systems Geografía Geociências Farmacia Engineering, electrical & electronic Engenharias iv Engenharias iii Engenharias ii Engenharias i Electrochemistry Electrical and electronic engineering Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, analytical Biotecnología Biodiversidade Biochemistry Atomic and molecular physics, and optics Astronomia / física Arquitetura, urbanismo e design Analytical chemistry |
Date: | 2022 |
Creator: | Perez, Ramon Martinez-Torrents, Albert Martinez, Manuel Grau, Sergi Vinardell, Laura Tomas, Ricard Martinez-Llado, Xavier Jubany, Irene |
Rights: | info:eu-repo/semantics/openAccess |
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