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含溴消毒副产物生成高敏感性水源的预测模型:对水处理的启示

Predictive models for water sources with high susceptibility for bromine-containing disinfection by-product formation: implications for water treatment.

作者信息

Watson Kalinda, Farré Maria José, Birt James, McGree James, Knight Nicole

机构信息

Smart Water Research Centre and School of Environment, Griffith University, Southport, Gold Coast, Australia.

出版信息

Environ Sci Pollut Res Int. 2015 Feb;22(3):1963-78. doi: 10.1007/s11356-014-3408-4. Epub 2014 Aug 28.

Abstract

This study examines a matrix of synthetic water samples designed to include conditions that favour brominated disinfection by-product (Br-DBP) formation, in order to provide predictive models suitable for high Br-DBP forming waters such as salinity-impacted waters. Br-DBPs are known to be more toxic than their chlorinated analogues, in general, and their formation may be favoured by routine water treatment practices such as coagulation/flocculation under specific conditions; therefore, circumstances surrounding their formation must be understood. The chosen factors were bromide concentration, mineral alkalinity, bromide to dissolved organic carbon (Br/DOC) ratio and Suwannee River natural organic matter concentration. The relationships between these parameters and DBP formation were evaluated by response surface modelling of data generated using a face-centred central composite experimental design. Predictive models for ten brominated and/or chlorinated DBPs are presented, as well as models for total trihalomethanes (tTHMs) and total dihaloacetonitriles (tDHANs), and bromide substitution factors for the THMs and DHANs classes. The relationships described revealed that increasing alkalinity and increasing Br/DOC ratio were associated with increasing bromination of THMs and DHANs, suggesting that DOC lowering treatment methods that do not also remove bromide such as enhanced coagulation may create optimal conditions for Br-DBP formation in waters in which bromide is present.

摘要

本研究检测了一系列合成水样,这些水样的设计涵盖了有利于溴化消毒副产物(Br-DBP)形成的条件,目的是提供适用于高Br-DBP生成水体(如受盐度影响的水体)的预测模型。一般而言,已知Br-DBP比其氯化类似物毒性更强,并且在特定条件下,诸如混凝/絮凝等常规水处理操作可能有利于其形成;因此,必须了解其形成的相关情况。所选因素包括溴化物浓度、矿化碱度、溴化物与溶解有机碳的比例(Br/DOC)以及苏万尼河天然有机物浓度。通过使用面心中心复合实验设计生成的数据进行响应面建模,评估了这些参数与消毒副产物形成之间的关系。给出了十种溴化和/或氯化消毒副产物的预测模型,以及总三卤甲烷(tTHMs)和总二卤乙腈(tDHANs)的模型,还有三卤甲烷和二卤乙腈类的溴取代因子。所描述的关系表明,碱度增加和Br/DOC比例增加与三卤甲烷和二卤乙腈的溴化增加有关,这表明诸如强化混凝等不能同时去除溴化物的降低溶解性有机碳的处理方法,可能会为存在溴化物的水体中Br-DBP的形成创造最佳条件。

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