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 |
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| Authors: | Huachang Hong Qianyun Song Asit Mazumder Qian Luo Jianrong Chen Hongjun Lin Haiying Yu Liguo Shen Yan Liang |
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| Institution: | 1.College of Geography and Environmental Sciences,Zhejiang Normal University,Jinhua,People’s Republic of China;2.Laboratory for Food Safety and Environmental Technology, Institute of Biomedicine and Biotechnology,Shenzhen Institutes of Advanced Technology,Shenzhen,People’s Republic of China;3.Department of Biology,University of Victoria,Victoria,Canada;4.Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,ürümqi,People’s Republic of China |
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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 (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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