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

Abstract

Research Article| May 01 2012 Modelling formation of disinfection by-products in water distribution: optimisation using a multi-objective evolutionary algorithm Mohanasundar Radhakrishnan; Mohanasundar Radhakrishnan 1Department of Urban Water Supply and Sanitation, UNESCO-IHE Institute for Water Education, Delft, The Netherlands E-mail: Mohanasundar@gmail.com Search for other works by this author on: This Site PubMed Google Scholar Assela Pathirana; Assela Pathirana 2Department of Water Science and Engineering, UNESCO-IHE Institute for Water Education, Delft, The Netherlands Search for other works by this author on: This Site PubMed Google Scholar Kebreab Ghebremichael; Kebreab Ghebremichael 3Patel School of Global Sustainability, University of South Florida Search for other works by this author on: This Site PubMed Google Scholar Gary Amy Gary Amy 1Department of Urban Water Supply and Sanitation, UNESCO-IHE Institute for Water Education, Delft, The Netherlands4King Abdullah University of Science and Technology, Saudi Arabia Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2012) 61 (3): 176–188. https://doi.org/10.2166/aqua.2012.179 Article history Received: November 03 2010 Accepted: March 09 2012 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation Mohanasundar Radhakrishnan, Assela Pathirana, Kebreab Ghebremichael, Gary Amy; Modelling formation of disinfection by-products in water distribution: optimisation using a multi-objective evolutionary algorithm. Journal of Water Supply: Research and Technology-Aqua 1 May 2012; 61 (3): 176–188. doi: https://doi.org/10.2166/aqua.2012.179 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex 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. biological risk, chemical risk, disinfection by-products, genetic algorithm, multiple objective optimisation, particle back tracking algorithm This content is only available as a PDF. © IWA Publishing 2012 You do not currently have access to this content.