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[自来水中消毒副产物的产生及预测模型]

[Occurrence and Prediction Model of Disinfection By-Products in Tap Water].

作者信息

Liu Jun-Ping, Chen Jing-Ji, Song Ya-Li, Yang Yu-Long, Li Qing-Song, Ma Xiao-Yan

机构信息

College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310014, China.

School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou 310023, China.

出版信息

Huan Jing Ke Xue. 2020 Jul 8;41(7):3307-3314. doi: 10.13227/j.hjkx.202001045.

Abstract

Disinfection by-products (DBPs) are defined as important parameters that can deteriorate drinking water quality. The investigation was performed at a laboratory located on a campus in H City of the Zhejiang province. The purpose of the work was to obtain knowledge on the occurrence of DBPs in tap water and boiled water taken from the same pipe, to establish a statistical model to predict DBPs information in tap water based on physicochemical parameters, and to evaluate carcinogenic and non-carcinogenic risks caused by DBPs on a predictional level. The results showed three categories of trihalomethanes (THMs), haloacetonnitrile (HANs), and haloacetic acids (HAAs), including 10 species of disinfection by-products detected in drinking water. The detection rate of target DBPs in tap water was 100% and the concentrations varied in the ranges of 10.12-28.39, 0.98-5.19, and 2.65-7.83 μg·L, respectively. In boiled water, bromochloracetonitrile (BCAN) was not detected; the detection rates of tribromomethane(TBM), trichloroacetonitrile (TCAN), and dibromoacetonitrile (DBAN) were 46.43%, 82.14%, and 92.86%, respectively, while the detection rate for other DBPs was 100%. The concentrations of THMs, HANs, and HAAs were in the ranges of 0.60-12.58, 0.02-0.52, and 2.42-5.86 μg·L, respectively. After heating, the concentrations of THMs and HANs decreased by 84.22% and 91.45%, respectively. No obvious decrease was found for HAAs. The pH value and specific ultraviolet absorbance (SUVA) had positive correlation with DBPs, whereas residual chlorine and ammonia nitrogen had negative correlation with DBPs. Based on the correlation between the physicochemical parameters and DBPs, a multiple linear regression prediction model of THMs was established, with deviation less than 10.00%, which can be used for the prediction of THMs in tap water. Based on the EPA recommended health risk assessment model, the carcinogenic and non-carcinogenic risks of chlorine disinfection by-products through oral intake were calculated. It was found that the carcinogenic risks caused by the disinfection by-products in the tap and boiled water were (17.24-84.63)×10 and (25.49-258.82)×10, respectively, and the non-carcinogenic risks were (4.17-50.32)×10 and (6.52-107.74)×10, respectively. The carcinogenic risk caused mainly by THMs and bromodicloromethane (BDCM) contributed the highest cancer risk in tap water, while for boiled water, trichloromethane (TCM) was found to contribute the highest cancer and non-carcinogenic risk. In boiled water, the reduction of THMs was up to 94.38%, and the cancer risk was reduced by 79.00%.

摘要

消毒副产物(DBPs)被定义为会使饮用水质量恶化的重要参数。该调查在浙江省H市某校园内的一个实验室进行。这项工作的目的是了解取自同一管道的自来水和开水当中消毒副产物的出现情况,建立一个基于理化参数预测自来水中消毒副产物信息的统计模型,并在预测层面评估消毒副产物所导致的致癌和非致癌风险。结果显示了三类三卤甲烷(THMs)、卤乙腈(HANs)和卤乙酸(HAAs),包括在饮用水中检测到的10种消毒副产物。自来水中目标消毒副产物的检出率为100%,其浓度分别在10.12 - 28.39、0.98 - 5.19和2.65 - 7.83μg·L范围内。在开水中,未检测到溴氯乙腈(BCAN);三溴甲烷(TBM)、三氯乙腈(TCAN)和二溴乙腈(DBAN)的检出率分别为46.43%、82.14%和92.86%,而其他消毒副产物的检出率为100%。THMs、HANs和HAAs的浓度分别在0.60 - 12.58、0.02 - 0.52和2.42 - 5.86μg·L范围内。加热后,THMs和HANs的浓度分别下降了84.22%和91.45%。HAAs未发现明显下降。pH值和特定紫外吸光度(SUVA)与消毒副产物呈正相关,而余氯和氨氮与消毒副产物呈负相关。基于理化参数与消毒副产物之间的相关性,建立了THMs的多元线性回归预测模型,偏差小于10.00%,可用于预测自来水中的THMs。基于美国环保署推荐的健康风险评估模型,计算了氯消毒副产物经口摄入的致癌和非致癌风险。结果发现,自来水和开水中消毒副产物导致的致癌风险分别为(17.24 - 84.63)×10和(25.49 - 258.82)×10,非致癌风险分别为(4.17 - 50.32)×10和(6.52 - 107.74)×10。自来水中主要由THMs和溴二氯甲烷(BDCM)导致的致癌风险贡献了最高的癌症风险,而对于开水,发现三氯甲烷(TCM)贡献了最高的癌症和非致癌风险。在开水中,THMs的减少高达94.38%,癌症风险降低了79.00%。

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