Abstract
The purpose of this study was to develop the multiple regression models to evaluate the formation of trihalomethanes (THMs) and haloacetonitriles (HANs) during chlorination of source water with low specific ultraviolet absorbance (SUVA) in Yangtze River Delta, China. The results showed that the regression models of THMs exhibited good accuracy and precision, and 86–97 % of the calculated values fell within ±25 % of the measured values. While the HANs models showed relatively weak evaluation ability, as only 75–83 % of the calculated values were within ±25 % of the measured values. The organic matter [dissolved organic carbon (DOC) or UV absorbance at 254 nm] and bromide exerted the most important influence on the formation of HANs. While for THMs, besides the organic matter and bromide, reaction time was also a key factor. Comparing the models for total THMs (T-THMs) in this study with others revealed that the regression models from the low SUVA waters may have low DOC coefficients, but high bromide coefficients as compared with those from the high SUVA waters.
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Acknowledgments
This study was financially supported by National Natural Science Foundation of China (No. 21107099, 41373141 and 21377002), Zhejiang Provincial Natural Science Foundation of China (Grant No. Y5110157), Special Foundation for provincial scientific research institutions provided by Science and Technology Department of Zhejiang Province (No. 2015F50014), Chinese Academy of Sciences President’s International Fellowship Initiative (No. 2013T1G0038), and the Foundation of Science and Technology Bureau of Jinhua (No. 2014A33208), which the authors highly appreciate.
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Hong, H., Song, Q., Mazumder, A. et al. 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. Environ Geochem Health 38, 1303–1312 (2016). https://doi.org/10.1007/s10653-016-9797-1
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DOI: https://doi.org/10.1007/s10653-016-9797-1