Babaei Ali Akbar, Atari Leila, Ahmadi Mehdi, Ahmadiangali Kambiz, Zamanzadeh Mirzaman, Alavi Nadali
Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran E-mail:
Department of Environmental Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
J Water Health. 2015 Sep;13(3):859-69. doi: 10.2166/wh.2015.211.
Trihalomethanes (THMs) were the first disinfection by-products discovered in drinking water and are classified as probable carcinogens. This study measures and models THMs formation at two drinking water distribution systems (WDS1 and WDS2) in Ahvaz City, Iran. The investigation was based on field-scale investigations and an intensive 36-week sampling program, from January to September 2011. The results showed total THM concentrations in the range 17.4-174.8 μg/L and 18.9-99.5 μg/L in WDS1 and WDS2, respectively. Except in a few cases, the THM concentrations in WDS1 and WDS2 were lower than the maximum contaminant level values. Using two-tailed Pearson correlation test, the water temperature, dissolved organic carbon, UV254, bromide ion (Br-), free residual chlorine, and chlorine dose were identified as the significant parameters for THMs formation in WDS2. Water temperature was the only significant parameter for THMs formation in WDS1. Based on the correlation results, a predictive model for THMs formation was developed using a multiple regression approach. A multiple linear regression model showed the best fit according to the coefficients of determination (R2) obtained for WDS1 (R2=0.47) and WDS2 (R2=0.54). Further correlation studies and analysis focusing on THMs formation are necessary to assess THMs concentration using the predictive models.
三卤甲烷(THMs)是在饮用水中发现的首批消毒副产物,被归类为可能的致癌物。本研究对伊朗阿瓦士市两个饮用水分配系统(WDS1和WDS2)中三卤甲烷的形成进行了测量和建模。该调查基于实地规模的调查以及2011年1月至9月为期36周的密集采样计划。结果显示,WDS1和WDS2中三卤甲烷的总浓度分别在17.4 - 174.8μg/L和18.9 - 99.5μg/L范围内。除少数情况外,WDS1和WDS2中的三卤甲烷浓度低于最大污染物水平值。使用双尾Pearson相关性检验,确定水温、溶解有机碳、UV254、溴离子(Br-)、自由余氯和氯剂量是WDS2中三卤甲烷形成的显著参数。水温是WDS1中三卤甲烷形成的唯一显著参数。基于相关性结果,采用多元回归方法建立了三卤甲烷形成的预测模型。根据WDS1(R2 = 0.47)和WDS2(R2 = 0.54)获得的决定系数,多元线性回归模型显示拟合效果最佳。有必要进行进一步的相关性研究和针对三卤甲烷形成的分析,以便使用预测模型评估三卤甲烷浓度。