Articles producció científica> Enginyeria Mecànica

Chlorine Concentration Modelling and Supervision in Water Distribution Systems

  • Datos identificativos

    Identificador: imarina:9280453
    Autores:
    Pérez RMartínez-Torrents AMartínez MGrau SVinardell LTomàs RMartínez-Lladó XJubany I
    Resumen:
    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.
  • Otros:

    Autor según el artículo: Pérez R; Martínez-Torrents A; Martínez M; Grau S; Vinardell L; Tomàs R; Martínez-Lladó X; Jubany I
    Departamento: Enginyeria Mecànica
    Autor/es de la URV: Martínez del Álamo, Manuel
    Palabras clave: Water distribution networks Supervision Modelling Drinking-water Decay model Chlorine water distribution networks supervision modelling decay model
    Resumen: 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.
    Áreas temáticas: 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
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: manuel.martinezd@urv.cat
    Identificador del autor: 0000-0003-3910-5224
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/1424-8220/22/15/5578?type=check_update&version=1
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Sensors. 22 (15):
    Referencia de l'ítem segons les normes APA: Pérez R; Martínez-Torrents A; Martínez M; Grau S; Vinardell L; Tomàs R; Martínez-Lladó X; Jubany I (2022). Chlorine Concentration Modelling and Supervision in Water Distribution Systems. Sensors, 22(15), -. DOI: 10.3390/s22155578
    DOI del artículo: 10.3390/s22155578
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2022
    Tipo de publicación: Journal Publications
  • Palabras clave:

    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 distribution networks
    Supervision
    Modelling
    Drinking-water
    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
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