Modelling formation of disinfection by-products in water distribution: Optimisation using a multi-objective evolutionary algorithm

Handle URI:
http://hdl.handle.net/10754/562171
Title:
Modelling formation of disinfection by-products in water distribution: Optimisation using a multi-objective evolutionary algorithm
Authors:
Radhakrishnan, Mohanasundar; Pathirana, Assela; Ghebremichael, Kebreab A.; Amy, Gary L.
Abstract:
Concerns have been raised regarding disinfection by-products (DBPs) formed as a result of the reaction of halogen-based disinfectants with DBP precursors. In order to appreciate the chemical and biological tradeoffs, it is imperative to understand the formation trends of DBPs and their spread in the distribution network. However, the water at a point in a complex distribution system is a mixture from various sources, whose proportions are complex to estimate and requires advanced hydraulic analysis. To understand the risks of DBPs and to develop mitigation strategies, it is important to understand the distribution of DBPs in a water network, which requires modelling. The goal of this research was to integrate a steady-state water network model with a particle backtracking algorithm and chlorination as well as DBPs models in order to assess the tradeoffs between biological and chemical risks in the distribution network. A multi-objective optimisation algorithm was used to identify the optimal proportion of water from various sources, dosages of alum, and dosages of chlorine in the treatment plant and in booster locations to control the formation of chlorination DBPs and to achieve a balance between microbial and chemical risks. © IWA Publishing 2012.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division
Publisher:
IWA Publishing
Journal:
Journal of Water Supply: Research and Technology—AQUA
Issue Date:
May-2012
DOI:
10.2166/aqua.2012.179
Type:
Article
ISSN:
00037214
Appears in Collections:
Articles; Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorRadhakrishnan, Mohanasundaren
dc.contributor.authorPathirana, Asselaen
dc.contributor.authorGhebremichael, Kebreab A.en
dc.contributor.authorAmy, Gary L.en
dc.date.accessioned2015-08-03T09:46:26Zen
dc.date.available2015-08-03T09:46:26Zen
dc.date.issued2012-05en
dc.identifier.issn00037214en
dc.identifier.doi10.2166/aqua.2012.179en
dc.identifier.urihttp://hdl.handle.net/10754/562171en
dc.description.abstractConcerns have been raised regarding disinfection by-products (DBPs) formed as a result of the reaction of halogen-based disinfectants with DBP precursors. In order to appreciate the chemical and biological tradeoffs, it is imperative to understand the formation trends of DBPs and their spread in the distribution network. However, the water at a point in a complex distribution system is a mixture from various sources, whose proportions are complex to estimate and requires advanced hydraulic analysis. To understand the risks of DBPs and to develop mitigation strategies, it is important to understand the distribution of DBPs in a water network, which requires modelling. The goal of this research was to integrate a steady-state water network model with a particle backtracking algorithm and chlorination as well as DBPs models in order to assess the tradeoffs between biological and chemical risks in the distribution network. A multi-objective optimisation algorithm was used to identify the optimal proportion of water from various sources, dosages of alum, and dosages of chlorine in the treatment plant and in booster locations to control the formation of chlorination DBPs and to achieve a balance between microbial and chemical risks. © IWA Publishing 2012.en
dc.publisherIWA Publishingen
dc.subjectBiological risken
dc.subjectChemical risken
dc.subjectDisinfection by-productsen
dc.subjectGenetic algorithmen
dc.subjectMultiple objective optimisationen
dc.subjectParticle back tracking algorithmen
dc.titleModelling formation of disinfection by-products in water distribution: Optimisation using a multi-objective evolutionary algorithmen
dc.typeArticleen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.identifier.journalJournal of Water Supply: Research and Technology—AQUAen
dc.contributor.institutionDepartment of Urban Water Supply and Sanitation, UNESCO-IHE Institute for Water Education, Delft, Netherlandsen
dc.contributor.institutionDepartment of Water Science and Engineering, UNESCO-IHE Institute for Water Education, Delft, Netherlandsen
dc.contributor.institutionPatel School of Global Sustainability, University of South Florida, United Statesen
kaust.authorAmy, Gary L.en
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