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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• 作者：Huachang Hong ; Qianyun Song ; Asit Mazumder…
• 关键词：Chlorination ; Trihalomethanes (THMs) ; Haloacetonitriles (HANs) ; Regression models ; Low specific UV absorbance (SUVA) ; Yangtze River Delta
• 刊名：Environmental Geochemistry and Health
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：38
• 期：6
• 页码：1303-1312
• 全文大小：471 KB
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Geochemistry
  Atmospheric Protection, Air Quality Control and Air Pollution
  Public Health
  
• 出版者：Springer Netherlands
• ISSN：1573-2983
• 卷排序：38

文摘

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.