Literature DB >> 25602662

Predicting trihalomethanes in the new york city water supply.

Rajith Mukundan, Richard Van Dreason.   

Abstract

Chlorine, a commonly used disinfectant in most water supply systems, can combine with organic carbon to form disinfectant byproducts, including carcinogenic trihalomethanes. We used water quality data from 24 monitoring sites within the New York City water supply distribution system, measured between January 2009 and April 2012, to develop an empirical model for predicting total trihalomethane (TTHM) levels. Terms in the model included the following water quality parameters: total organic carbon, pH, water age (reaction time), and water temperature. Reasonable estimates of TTHM levels were achieved with overall of about 0.75, and predicted values on average were within 6 μg L of measured values. A sensitivity analysis indicated that total organic carbon and water age are the most important factors for TTHM formation, followed by water temperature; pH was the least important factor within the boundary conditions of observed water quality. Although never out of compliance in 2011, the TTHM levels in the water supply increased after tropical storms Irene and Lee, with 45% of the samples exceeding the 80 μg L maximum contaminant level in October and November. This increase was explained by changes in water quality parameters, particularly by the increase in total organic carbon concentration during this period. This study demonstrates the use of an empirical model to understand TTHM formative factors and their relative importance in a drinking water supply. This has implications for simulating management scenarios and real-time estimation of TTHMs in water supply systems under changing environmental conditions.
Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Entities:  

Year:  2014        PMID: 25602662     DOI: 10.2134/jeq2013.07.0305

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  3 in total

1.  Modelling the regional variability of the probability of high trihalomethane occurrence in municipal drinking water.

Authors:  Geneviève Cool; Alexandre Lebel; Rehan Sadiq; Manuel J Rodriguez
Journal:  Environ Monit Assess       Date:  2015-11-12       Impact factor: 2.513

2.  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

3.  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

  3 in total

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