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

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    Type
    Article
    Authors
    Radhakrishnan, Mohanasundar
    Pathirana, Assela
    Ghebremichael, Kebreab A.
    Amy, Gary L.
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Environmental Science and Engineering Program
    Water Desalination and Reuse Research Center (WDRC)
    Date
    2012-05
    Permanent link to this record
    http://hdl.handle.net/10754/562171
    
    Metadata
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    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.
    Citation
    Radhakrishnan, M., Pathirana, A., Ghebremichael, K., & Amy, G. (2012). Modelling formation of disinfection by-products in water distribution: optimisation using a multi-objective evolutionary algorithm. Journal of Water Supply: Research and Technology-Aqua, 61(3), 176–188. doi:10.2166/aqua.2012.179
    Publisher
    IWA Publishing
    Journal
    Journal of Water Supply: Research and Technology-Aqua
    DOI
    10.2166/aqua.2012.179
    ae974a485f413a2113503eed53cd6c53
    10.2166/aqua.2012.179
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Environmental Science and Engineering Program; Water Desalination and Reuse Research Center (WDRC)

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