给水管网中新型污染物PPCPs的分布特征与迁移转化研究

The occurrence of pharmaceuticals and personal care products (PPCPs) in the aquatic environment as emerging contaminants has been increasingly raising concerns because of potential effect on drinking water. In consideration of limitation of PPCPs removal in traditional water treatment processes, the research will focus on the distribution, migration and transformation of PPCPs in the water supply network. Firstly, a trace analytical method of typical PPCPs will be developed, and the distribution and variation of typical PPCPs in the water supply network will be investigated through detecting at different positions in water supply network and different time in a year; Secondly, the migration and transformation of typical PPCPs will be explored according to the influence created by particulates，residual chlorine and bacteria in the water supply network; Thirdly, the research will establish reaction kinetic model of typical PPCPs in water supply network in order to set up the concentration distribution model of the actual network in mechanism combining with the hydraulic equation of the network. The research can supply sufficient data and provide theoretical basis for the control of PPCPs in the drinking water system.

新型污染物PPCPs（Pharmaceuticals and Personal Care Products）对饮用水安全影响问题日益受到关注。针对现有净水工艺对PPCPs去除有限的现状，本课题对给水管网系统中的PPCPs在复杂管网条件下的分布与迁移转化进行研究。通过建立和完善典型PPCPs的痕量检测方法，在不同季节、不同位置检测分析目标管网中的典型PPCPs，掌握其在给水管网系统中的分布特征；研究管网中颗粒物、余氯、细菌与典型PPCPs的相互作用与反应关系；深入分析其在给水管网中的迁移转化行为，确定迁移转化规律，构建典型PPCPs的反应动力学模型；最终融合管网水力方程，建立给水管网中典型PPCPs浓度分布机理模型。本课题的研究可为饮用水系统中PPCPs的控制提供数据支持和理论依据。

国内外文献表明，新型污染物PPCPs（Pharmaceuticals and Personal Care Products）已经出现在城市给水管网中。尽管浓度痕量，但管网直接面对用户，水中PPCPs的分布与迁移转化对饮用水安全影响应该受到关注。.根据天津市水源污染状况调研及对供水系统不同位置的水质监测，在确定目标管网、典型PPCPs以及搭建实验管网的基础上，首先建立和完善了典型PPCPs的痕量检测方法，并在不同季节、不同位置检测二种管网中的典型PPCPs污染物的浓度；其次依据在实验与实际管网的大量检测数据，分析和确定了PPCPs在管网系统中的分布特征；进而设计和进行了大量的实验，研究颗粒物、余氯、细菌与典型PPCPs的相互作用，确定了反应关系；然后通过解析典型PPCPs在给水管网中的迁移转化行为，确定了其迁移转化规律；最后依据反应动力学原理构建了典型PPCPs的反应动力学模型，据此进行了二种管网中典型PPCPs浓度分布的模拟，经与实际检测值对比，拟合程度较为理想。