Author, as appears in the article.: Perez, Ramon; Martinez-Torrents, Albert; Martinez, Manuel; Grau, Sergi; Vinardell, Laura; Tomas, Ricard; Martinez-Llado, Xavier; Jubany, Irene
Department: Enginyeria Mecànica
URV's Author/s: Martínez del Álamo, Manuel
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
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.
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
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: manuel.martinezd@urv.cat
Record's date: 2025-02-18
Paper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/1424-8220/22/15/5578?type=check_update&version=1
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Paper original source: Sensors. 22 (15): 5578-
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
Article's DOI: 10.3390/s22155578
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications