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Formation and modeling of disinfection by-products in drinking water of six cities in China

机译:中国六个城市饮用水消毒副产物的形成与模型

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摘要

Water quality parameters including TOC, UV_(254), pH, chlorine dosage, bromide concentration and disinfection by-products were measured in water samples from 41 water treatment plants of six selected cities in China. Chloroform, bromodichloromethane, dibromochloromethane, dichloroacetic acid and trichloroacetic acid were the major disinfection by-products in the drinking water of China. Bromoform and dibromoacetic acid were also detected in many water samples. Higher concentrations of trihalomethanes and haloacetic acids were measured in summer compared to winter. The geographical variations in DBPs showed that TTHM levels were higher in Zhengzhou and Tianjin than other selected cities. And the HAA5 levels were highest in Changsha and Tianjin. The modeling procedure that predicts disinfection by-products formation was studied and developed using artificial neural networks. The performance of the artificial neural networks model was excellent (r > 0.84).
机译:在来自中国六个选定城市的41家水处理厂的水样中,测量了水质参数,包括TOC,UV_(254),pH,氯剂量,溴化物浓度和消毒副产物。氯仿,溴二氯甲烷,二溴氯甲烷,二氯乙酸和三氯乙酸是中国饮用水的主要消毒副产物。在许多水样中也检测到了溴仿和二溴乙酸。与冬季相比,夏季测得的三卤甲烷和卤代乙酸浓度更高。 DBPs的地理变化表明,郑州和天津的TTHM水平高于其他选定城市。 HAA5水平在长沙和天津最高。使用人工神经网络研究和开发了预测消毒副产物形成的建模程序。人工神经网络模型的性能非常好(r> 0.84)。

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