Literature DB >> 21782207

Evaluation of suitable chlorine bulk-decay models for water distribution systems.

Ian Fisher1, George Kastl, Arumugam Sathasivan.   

Abstract

Maintaining the chlorine residual is a major disinfection goal for many water distribution systems. A suitable general chlorine bulk-decay model is required for simulation of chlorine profiles in networks to assist disinfection planning/management efficiently. The first-order model is unsuitable due to inaccuracy and inability to represent rechlorination. Three potentially suitable, simple, reactant models were compared. The single-reactant model was found to be unsuitable, as it was inaccurate when restricted to using a single set of invariant parameters. The two-reactant model was more suitable than the variable-rate-coefficient model, although both models were accurate under the same restriction. The two-reactant model was then calibrated against datasets consisting of multiple decay tests for five distinctly different waters. It accurately predicted data reserved for validation over the chlorine concentration range of 0-6 mg/L, using a single set of invariant parameters, and is therefore the simplest, generally suitable model for simulating chlorine profiles in distribution system networks.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21782207     DOI: 10.1016/j.watres.2011.06.032

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  2 in total

1.  Optimizing booster chlorination in water distribution networks: a water quality index approach.

Authors:  Nilufar Islam; Rehan Sadiq; Manuel J Rodriguez
Journal:  Environ Monit Assess       Date:  2013-03-27       Impact factor: 2.513

2.  Chlorine Concentration Modelling and Supervision in Water Distribution Systems.

Authors:  Ramon Pérez; Albert Martínez-Torrents; Manuel Martínez; Sergi Grau; Laura Vinardell; Ricard Tomàs; Xavier Martínez-Lladó; Irene Jubany
Journal:  Sensors (Basel)       Date:  2022-07-26       Impact factor: 3.847

  2 in total

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