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Source and drinking water organic and total iodine and correlation with water quality parameters.

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Title: Source and drinking water organic and total iodine and correlation with water quality parameters.
Authors: Sayess, Rassil1 (AUTHOR) re232@cornell.edu, Eyring, Adam M.2 (AUTHOR), Reckhow, David A.3 (AUTHOR)
Source: Water Research. Feb2021, Vol. 190, pN.PAG-N.PAG. 1p.
Subjects: Drinking water, Water quality, Iodine, Water purification, Tobits, Disinfection by-product
Geographic Terms: Suva (Fiji)
Abstract: • The occurrence, magnitude, and seasonality of TOI and TI was established. • Measured TOI did not increase upon treatment. • DOC, SUVA, TCl 2 , and pH were all significantly correlated with TOI in treated water. • A predictive model was fit for TOI occurrence in treated water. Iodinated disinfection by-products (I-DBPs) have recently emerged as part of the pool of DBPs of public health concern. Due to limitations in measuring individual I-DBPs in a water sample, the surrogate measure of total organic iodine (TOI) is often used to account for the sum of all I-DBPs. In this study, TOI and total iodine (TI) are quantified in raw and treated waters in treatment trains at three sites in the Northeast United States. The occurrence, magnitude, and seasonality of these species was investigated within each sampling train and across the different sites. A regression model was developed to explore how TOI occurrence varies with routinely measured physical and chemical parameters in a water sample. The TOI and TI concentration at the three sites ranged from below the method detection limit to 18 µg/L and from 3 and 18.9 µg/L, respectively. There was substantial inter-monthly variability in TOI without a clear seasonal signal, and the concentration of TOI did not increase upon treatment. The results of the multivariate regression model showed that dissolved organic carbon (DOC), specific UV 254 absorbance (SUVA), combined chlorine residual (TCl 2), and pH were all significantly related to TOI concentration to varying degrees. A Tobit model was fit to show TOI predictions against observed (measured) TOI values. The model could explain approximately 46% of the variance of TOI concentrations in the treated waters. Image, graphical abstract [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:• The occurrence, magnitude, and seasonality of TOI and TI was established. • Measured TOI did not increase upon treatment. • DOC, SUVA, TCl 2 , and pH were all significantly correlated with TOI in treated water. • A predictive model was fit for TOI occurrence in treated water. Iodinated disinfection by-products (I-DBPs) have recently emerged as part of the pool of DBPs of public health concern. Due to limitations in measuring individual I-DBPs in a water sample, the surrogate measure of total organic iodine (TOI) is often used to account for the sum of all I-DBPs. In this study, TOI and total iodine (TI) are quantified in raw and treated waters in treatment trains at three sites in the Northeast United States. The occurrence, magnitude, and seasonality of these species was investigated within each sampling train and across the different sites. A regression model was developed to explore how TOI occurrence varies with routinely measured physical and chemical parameters in a water sample. The TOI and TI concentration at the three sites ranged from below the method detection limit to 18 µg/L and from 3 and 18.9 µg/L, respectively. There was substantial inter-monthly variability in TOI without a clear seasonal signal, and the concentration of TOI did not increase upon treatment. The results of the multivariate regression model showed that dissolved organic carbon (DOC), specific UV 254 absorbance (SUVA), combined chlorine residual (TCl 2), and pH were all significantly related to TOI concentration to varying degrees. A Tobit model was fit to show TOI predictions against observed (measured) TOI values. The model could explain approximately 46% of the variance of TOI concentrations in the treated waters. Image, graphical abstract [ABSTRACT FROM AUTHOR]
ISSN:00431354
DOI:10.1016/j.watres.2020.116686