Literature DB >> 17658688

Modeling daily variation of trihalomethane compounds in drinking water system, Houston, Texas.

Embarka Chaib1, Demetrios Moschandreas.   

Abstract

Total trihalomethanes (TTHM) concentrations vary widely and periodically between 70 and 130 ppb. Data from the National Environmental Services Laboratory, Houston, Texas indicate that pH and free residual chlorine contribute minimally to the wide variability of TTHM levels. Temperature variation in drinking fluctuates from 11 to 27 degrees C. The objective of this research is to formulate a model that delineates more clearly the daily variations of the most prevalent volatile trihalomethane by-products: chloroform (CHCl3), bromodichloromethane (CHBr2Cl), and bromoform (CHBr3) levels from drinking water. This model simulates the daily fluctuation of THM at a single location and at any time during the day as a function of the water temperature and the average concentration of TTHM, which can be estimated. The hypothesis of this study is that observed daily fluctuations of TTHM, CHCl3, CHCl2Br, CHClBr2, and CHBr3 are periodic. This hypothesis is tested using autocorrelation functions and it is shown that for the series of pH the correlation coefficient is maximal at zero lags, rapidly decreases to zero, and increases again between 4- and 6-h period. Such pattern suggests random fluctuation unrelated to time. However, the series of free residual chlorine, temperature, TTHM, CHCl3, CHCl2Br, CHClBr2, and CHBr3 suggest a different pattern. The correlation coefficient increases when the time-shift approaches 24 h. These repetitions in fluctuation of content over a 24-h period are statistically significant. The model formulated in this study provides insights in TTHM variation and is a necessary tool to reduce the error when estimating potential risk from exposure to trihalomethane compounds in drinking water system. In general, calculation of potential risk by using a value measured early morning or late afternoon concentrations were found minimal lead to an underestimation of the population risk.

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Year:  2007        PMID: 17658688     DOI: 10.1016/j.jhazmat.2007.06.049

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  3 in total

1.  Predictive model for chloroform during disinfection of water for consumption, city of Montevideo.

Authors:  Mariana Gomez Camponovo; Gustavo Seoane Muniz; Stephen J Rothenberg; Eleuterio Umpiérrez Vazquez; Marcel Achkar Borras
Journal:  Environ Monit Assess       Date:  2014-07-01       Impact factor: 2.513

2.  Evaluation of the Webler-Brown model for estimating tetrachloroethylene exposure from vinyl-lined asbestos-cement pipes.

Authors:  Lisa A Spence; Ann Aschengrau; Lisa E Gallagher; Thomas F Webster; Timothy C Heeren; David M Ozonoff
Journal:  Environ Health       Date:  2008-06-02       Impact factor: 5.984

3.  Predictors of blood trihalomethane concentrations in NHANES 1999-2006.

Authors:  Anne M Riederer; Radhika Dhingra; Benjamin C Blount; Kyle Steenland
Journal:  Environ Health Perspect       Date:  2014-03-19       Impact factor: 9.031

  3 in total

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