水中亚硝胺类消毒副产物的污染现状、形成与控制

综述了水中亚硝胺类消毒副产物的来源、浓度水平及限定标准,以及亚硝胺类物质(NAs)的生成机制、分析检测技术、控制与去除方法。指出,随着人们对饮用水安全消毒的重视和污水消毒的推广,应增加大范围水中NAs污染水平的调查工作,以及对复杂污水体系中NAs生成前体物的研究,优化和改进消毒工艺,减少NAs的生成,针对复杂水样建立准确可靠的NAs检测方法。     

饮用水消毒副产物--卤乙酸的检测

卤乙酸是饮用水氯化消毒中一类主要的消毒副产物,由于存在的广泛性和潜在的健康危害,许多国家和卫生组织相继将其列为饮用水常规监测项目,而我国至今还没有相关规定;为了更好地控制饮用水中卤乙酸的形成,世界各国科研人员先后研究和开发出了性能逐趋完善的多种分析检测方法;本文在国内外文献调研的基础上,对卤乙酸的各种分析检测方法进行了简要的介绍,并指明了今后的发展方向.     

饮用水消毒技术的研究进展

论述了国内外采用的饮用水消毒控制技术及动向,指出电场处理方法是目前饮用水消毒极有前任和有效的技术。     

水中消毒副产物的监测方法研究进展

含氯、含氧等杀菌类消毒剂在饮用水生产、废水排放、再生水利用等环节应用广泛,会与水中的前驱物通过取代、氧化还原、水解、加成等反应形成种类繁多的消毒副产物(DBPs).DBPs的靶标监测基于已知DBPs的特性如挥发性、半挥发性、不挥发性等,采取相应的前处理和仪器分析方法;非靶标鉴别可对大量未知的DBPs进行筛查.综述了三卤...     

饮用水消毒副产物基因毒性与致癌性研究进展

简述了饮用水消毒副产物（DBPs）的基因毒性与致癌性的研究进展。从Ames试验、SOS/umu试验、彗星试验、微核试验及一些新颖的致突变试验结果对DBPs基因的毒性，以及从毒理学实验、流行病学研究和致癌风险评估3个方面对DBPs的致癌性进行了分析和总结，以期为今后饮用水DBPs毒性效应及其致毒机理研究提供参考，进而促进饮用水质量管理与立法的发展。     

饮用水的安全性影响因素及相关处理措施

介绍了饮用水源地水质和饮用水消毒的方法，从饮用水的来源、输送方面解释生活饮用水受污染的原因，并简单介绍了新型饮用水．提出饮用水的安全消毒处理措施．     

改良顶空气相色谱法测定生活饮用水中三氯甲烷

根据《生活饮用水标准检验方法消毒副产物指标》（GB/T 5750.10—2006）中规定的顶空气相色谱仪结合电子捕获器（ECD）检测生活饮用水中三氯甲烷的方法，通过改变平衡温度，添加抗坏血酸和氯化钠等顶空条件对该方法进行改良。结果表明，三氯甲烷标准曲线的相关系数（r）=0.999 94，线性关系良好，相对标准偏差（RSD）=1.3%，检出限为0.1 μg/L，平均加标回收率为95.3%。该方法符合国家标准要求，且比国标法更加准确、快速，适用于生活饮用水中三氯甲烷的大批量测定。     

二氧化氯在饮用水消毒中的特点及应用

该文综合论述了二氧化氯作为一种新型消毒剂在饮用水处理中应用的前景，最大优点是可有效地控制“三致”物质如三卤甲烷的形成，但过量投加要在水中产生对人体有害的亚氯酸根等副产物；文章对如何降低有害的副产物，确保饮用水质作了介绍。     

克拉玛依市自来水中三卤甲烷的测定与评价

源水氯化消毒目前仍是广泛而经济的消毒方法。消毒过程可产生三氯甲烷、一溴二氯甲烷和二溴一氯甲烷等挥发性卤代烃类污染物，这些物质对人体具有潜在危害。对此，本文采用静态顶空气相色谱法对克拉玛依市居民自来水中的三卤甲烷进行了定性定量检测和评价，经质谱定性自来水中存在三氯甲烷、一溴二氯甲烷和二溴一氯甲烷。对28个水样的检测结果表明，克拉玛依市自来水中的三氯甲烷、一溴二氯甲烷和二溴一氯甲烷均符合国家生活饮用水标准。     

质谱及其联用技术在水中消毒副产物识别和分析中的应用

水中消毒副产物（DBPs）是在水消毒过程中消毒剂与水中溶解性有机物以及无机离子发生反应而产生，其对水环境生态安全和人体健康有不利影响。简述了DBPs的生成、种类、毒性和分析方法等，重点综述了气相色谱-质谱联用（GC-MS）、液相色谱-质谱联用（LC-MS）、离子色谱-质谱联用（IC-MS）以及超高分辨率质谱（UPMS）等质谱（MS）及其联用技术在水中DBPs识别和分析中的应用，分析了不同MS技术的特点和应用实例，提出了MS技术在DBPs研究领域的发展方向与挑战。     

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

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).     

Contact Tank Design Impact on Process Performance

In this study three-dimensional numerical models were refined to predict reactive processes in disinfection contact tanks (CTs). The methodology departs from the traditional performance assessment of contact tanks via hydraulic efficiency indicators, as it simulates directly transport and decay of the disinfectant, inactivation of pathogens and accumulation of by-products. The method is applied to study the effects of inlet and compartment design on contact tank performance, with special emphasis on turbulent mixing and minimisation of internal recirculation and short-circuiting. In contrast to the conventional approach of maximising the length-to-width ratio, the proposed design changes are aimed at addressing and mitigating adverse hydrodynamic structures, which have historically led to poor hydraulic efficiency in many existing contact tanks. The results suggest that water treatment facilities can benefit from in-depth analyses of the flow and kinetic processes through computational fluid dynamics, resulting in up to 38 % more efficient pathogen inactivation and 14 % less disinfection by-product formation.     

Modeling the Formation of Chlorination By-Products During Enhanced Coagulation

Because of increasing need to balance health risks for pathogen control and disinfection by-products (DBP) formation in drinking water supplies, water utilities are forced to closely examine and optimize their disinfection practices. This research was designed to investigate the effects of independent variables of dissolved organic carbon (DOC), ferric chloride dosage, chlorine dose, and reaction time on trihalomethanes (THMs) formation in Terkos Lake Water (TLW) of Istanbul City. A statistically-based empirical model was developed for predicting THM formation during enhanced coagulation. The R ² and F value of model were 0.762 and 460, respectively. The model was found to be statistically significant for all four variables, and model predictions appear to be most accurate for this study. A multiple linear model exhibited the best fit of data. It was observed that THM formation depended primarily on DOC removal. Model calibration, testing and validation were accomplished by using independent data set.     

Assessing regulatory violations of disinfection by-products in water distribution networks using a non-compliance potential index

Inactivating pathogens is essential to eradicate waterborne diseases. However, disinfection forms undesirable disinfection by-products (DBPs) in the presence of natural organic matter. Many regulations and guidelines exist to limit DBP exposure for eliminating possible health impacts such as bladder cancer, reproductive effects, and child development effects. In this paper, an index named non-compliance potential (NCP) index is proposed to evaluate regulatory violations by DBPs. The index can serve to evaluate water quality in distribution networks using the Bayesian Belief Network (BBN). BBN is a graphical model to represent contributing variables and their probabilistic relationships. Total trihalomethanes (TTHM), haloacetic acids (HAA5), and free residual chlorine (FRC) are selected as the variables to predict the NCP index. A methodology has been proposed to implement the index using either monitored data, empirical model results (e.g., multiple linear regression), and disinfectant kinetics through EPANET simulations. The index’s usefulness is demonstrated through two case studies on municipal distribution systems using both full-scale monitoring and modeled data. The proposed approach can be implemented for data-sparse conditions, making it especially useful for smaller municipal drinking water systems.     

Degradation of chlortoluron in water disinfection processes: a kinetic study

The kinetics of the reaction between chlortoluron, a phenylurea herbicide [N'-(2-hydroxy-4-methyl-5-chlorophenyl)-N,N-dimethylurea], and hypochlorite, the active species in water disinfection processes involving chlorine, were investigated by HPLC-UV and HPLC-electrospray ionisation mass spectrometry (HPLC-ESI-MS). In particular, the concentrations of the main chlortoluron by-products were monitored as a function of time by HPLC-ESI-MS and a kinetic model was developed to fit the relevant curves. The results showed that chlortoluron degradation starts with two parallel pathways, namely, chlorination and hydroxylation of the aromatic ring, which are then followed by consecutive chlorination reactions, and after almost 2 weeks by ring opening and partial mineralisation, as confirmed by head-space solid-phase microextraction gas chromatography-MS (SPME-GC-MS) and total organic carbon (TOC) measurements. Kinetic constants for the first reactions of the overall process, under pseudo-first-order conditions (hypochlorite excess), were estimated by a fitting procedure.     

Trihalomethane formation potential in treated water supplies in urban metro city

Trihalomethane (THM) formation potential (TFP) is very useful test to assess the level of the formation of trihalomethanes in worst case scenario. Organics in water have the potential to generate harmful disinfection by-products (DBPs) such as THMs, as a result of their reaction with disinfectant chlorine used in drinking water. DBPs are increasingly recognized as cancerous agents. TFP of postchlorinated treated water were investigated at six water treatment plants (WTPs) in Delhi City (India). The present paper presents the current trends of TFP so that prevention and control measures can be initiated by the regulating agencies responsible for drinking water supply. Liquid–liquid extraction method, followed by qualitative and quantitative estimation by gas chromatograph equipped with electron capture detector, had been used for the determination of THMs in water samples collected at the outlet just before supplying to the consumers during 2000–2007. The TFP values from 2004 onward of all WTPs did not exceed the WHO guideline value of ≤1.     

Fusing probability density function into Dempster–Shafer theory of evidence for the evaluation of water treatment plant

The evaluation of the status of a municipal drinking water treatment plant (WTP) is important. The evaluation depends on several factors, including, human health risks from disinfection by-products (R), disinfection performance (D), and cost (C) of water production and distribution. The Dempster–Shafer theory (DST) of evidence can combine the individual status with respect to R, D, and C to generate a new indicator, from which the overall status of a WTP can be evaluated. In the DST, the ranges of different factors affecting the overall status are divided into several segments. The basic probability assignments (BPA) for each segment of these factors are provided by multiple experts, which are then combined to obtain the overall status. In assigning the BPA, the experts use their individual judgments, which can impart subjective biases in the overall evaluation. In this research, an approach has been introduced to avoid the assignment of subjective BPA. The factors contributing to the overall status were characterized using the probability density functions (PDF). The cumulative probabilities for different segments of these factors were determined from the cumulative density function, which were then assigned as the BPA for these factors. A case study is presented to demonstrate the application of PDF in DST to evaluate a WTP, leading to the selection of the required level of upgradation for the WTP.