Literature DB >> 15159150

Disinfectant decay and disinfection by-products formation model development: chlorination and ozonation by-products.

Jinsik Sohn1, Gary Amy, Jaeweon Cho, Yonghun Lee, Yeomin Yoon.   

Abstract

Comprehensive disinfectant decay and disinfection by-product formation (D/DBP) models in chlorination and ozonation were developed to apply to various types of raw and treated waters. Comparison of several types of models, such as empirical power function models and empirical kinetic models, was provided in order to choose more robust and accurate models for the D/DBP simulations. An empirical power function model based on dissolved organic carbon and other parameters (Empirically based models for predicting chlorination and ozonation by-products: haloacetic acids, chloral hydrate, and bromate, EPA Report CX 819579, 1998) showed a strong correlation between measured and predicted trihalomethane (THM) and haloacetic acid (HAA) formation for raw waters. Internal evaluation of kinetic-based models showed good predictions for chlorine decay and THM/HAA formation, but no significant improvements were observed compared to the empirical power function model simulations. In addition, several empirical models for predicting ozone decay and bromate (ozonation disinfection by-product) formation were also evaluated and/or developed. Several attempts to develop kinetic-based and alternative models were made: (i) a two-stage model (two separate decay models) was adapted to ozone decay and (ii) an ozone demand model was developed for bromate formation. Generally, internal evaluation of kinetic-based models for ozone decay showed significant improvements, but no significant improvements for the simulation of bromate formation were observed compared to the empirical power function model simulations. Additional efforts were performed to reduce the gaps between specific models and their actual application. For instance, temperature effects and configuration of ozone contactors were considered in actual application.

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Year:  2004        PMID: 15159150     DOI: 10.1016/j.watres.2004.03.009

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


  11 in total

1.  Factorial analysis of the trihalomethane formation in the reaction of colloidal, hydrophobic, and transphilic fractions of DOM with free chlorine.

Authors:  Stefan Platikanov; Roma Tauler; Pedro M S M Rodrigues; Maria Cristina G Antunes; Dilson Pereira; Joaquim C G Esteves da Silva
Journal:  Environ Sci Pollut Res Int       Date:  2010-04-25       Impact factor: 4.223

2.  Monitoring the trihalomethanes present in water after treatment with chlorine under laboratory condition.

Authors:  A P S Paim; J B Souza; M A T Adorno; E M Moraes
Journal:  Environ Monit Assess       Date:  2007-02       Impact factor: 2.513

3.  Inactivation of Pseudomonas putida by pulsed electric field treatment: a study on the correlation of treatment parameters and inactivation efficiency in the short-pulse range.

Authors:  Wolfgang Frey; Christian Gusbeth; Thomas Schwartz
Journal:  J Membr Biol       Date:  2013-05-10       Impact factor: 1.843

4.  A two-stage predictive model to simultaneous control of trihalomethanes in water treatment plants and distribution systems: adaptability to treatment processes.

Authors:  Antonio Domínguez-Tello; Ana Arias-Borrego; Tamara García-Barrera; José Luis Gómez-Ariza
Journal:  Environ Sci Pollut Res Int       Date:  2017-08-15       Impact factor: 4.223

5.  Multiple linear regression model for bromate formation based on the survey data of source waters from geographically different regions across China.

Authors:  Jianwei Yu; Juan Liu; Wei An; Yongjing Wang; Junzhi Zhang; Wei Wei; Ming Su; Min Yang
Journal:  Environ Sci Pollut Res Int       Date:  2014-08-19       Impact factor: 4.223

6.  Predictive model for disinfection by-product in Alexandria drinking water, northern west of Egypt.

Authors:  Ali M Abdullah; Salah El-dien Hussona
Journal:  Environ Sci Pollut Res Int       Date:  2013-07-14       Impact factor: 4.223

7.  Using regression models to evaluate the formation of trihalomethanes and haloacetonitriles via chlorination of source water with low SUVA values in the Yangtze River Delta region, China.

Authors:  Huachang Hong; Qianyun Song; Asit Mazumder; Qian Luo; Jianrong Chen; Hongjun Lin; Haiying Yu; Liguo Shen; Yan Liang
Journal:  Environ Geochem Health       Date:  2016-01-23       Impact factor: 4.609

8.  Reactions of α,β-Unsaturated Carbonyls with Free Chlorine, Free Bromine, and Combined Chlorine.

Authors:  Emily L Marron; Jean Van Buren; Amy A Cuthbertson; Emily Darby; Urs von Gunten; David L Sedlak
Journal:  Environ Sci Technol       Date:  2021-02-10       Impact factor: 11.357

9.  Predictive water virology using regularized regression analyses for projecting virus inactivation efficiency in ozone disinfection.

Authors:  Syun-Suke Kadoya; Osamu Nishimura; Hiroyuki Kato; Daisuke Sano
Journal:  Water Res X       Date:  2021-02-12

10.  Design issues in small-area studies of environment and health.

Authors:  Paul Elliott; David A Savitz
Journal:  Environ Health Perspect       Date:  2008-08       Impact factor: 9.031

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