Using regression models to evaluate the formation

Authors: Huachang Hong Qianyun Song Asit Mazumder Qian Luo Jianrong Chen Hongjun Lin Haiying Yu Liguo Shen Yan Liang

Publish Date: 2016/01/23

Volume: 38, Issue: 6, Pages: 1303-1312

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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 TTHMs 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 watersThis 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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