Literature DB >> 25765169

A variable reaction rate model for chlorine decay in drinking water due to the reaction with dissolved organic matter.

Pei Hua1, Ekaterina Vasyukova1, Wolfgang Uhl2.   

Abstract

A second order kinetic model for simulating chlorine decay in bulk water due to the reaction with dissolved organic matter (DOM) was developed. It takes into account the decreasing reactivity of dissolved organic matter using a variable reaction rate coefficient (VRRC) which decreases with an increasing conversion. The concentration of reducing species is surrogated by the maximum chlorine demand. Temperature dependency, respectively, is described by the Arrhenius-relationship. The accuracy and adequacy of the proposed model to describe chlorine decay in bulk water were evaluated and shown for very different waters and different conditions such as water mixing or rechlorination by applying statistical tests. It is thus very well suited for application in water quality modeling for distribution systems.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chlorine decay model; Drinking water; Rechlorination; Variable reaction rate coefficient; Water mixing

Mesh:

Substances:

Year:  2015        PMID: 25765169     DOI: 10.1016/j.watres.2015.01.037

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


  4 in total

1.  Runoff simulation of two typical urban green land types with the Stormwater Management Model (SWMM): sensitivity analysis and calibration of runoff parameters.

Authors:  Zuxin Xu; Lijun Xiong; Huaizheng Li; Jin Xu; Xin Cai; Keli Chen; Jun Wu
Journal:  Environ Monit Assess       Date:  2019-05-04       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

3.  Measuring performance of low impact development practices for the surface runoff management.

Authors:  Wenyu Yang; Kurt Brüggemann; Kiwanuka David Seguya; Ehtesham Ahmed; Thomas Kaeseberg; Heng Dai; Pei Hua; Jin Zhang; Peter Krebs
Journal:  Environ Sci Ecotechnol       Date:  2020-01-13

4.  A comparative analysis of artificial neural networks and wavelet hybrid approaches to long-term toxic heavy metal prediction.

Authors:  Peifeng Li; Pei Hua; Dongwei Gui; Jie Niu; Peng Pei; Jin Zhang; Peter Krebs
Journal:  Sci Rep       Date:  2020-08-10       Impact factor: 4.379

  4 in total

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