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Study of DBP-HAAs in Water Distribution Systems

Author: WangYang
Tutor: TianYiMei
School: Tianjin University
Course: Environmental Engineering
Keywords: Water supply network Haloacetic acids Disinfection byproducts Prediction Model
CLC: TU991.25
Type: Master's thesis
Year: 2007
Downloads: 168
Quote: 2
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Abstract


Chlorine disinfection cause water transmission and distribution network to produce disinfection byproducts cause harm to human health problems caused by more and more people 's attention. The topics to Tianjin, a campus laboratory simulation of the pipe network and water supply network for the study, in order to protect drinking water quality and human health research objectives , systems, in-depth study of the water supply network in DBPs formation of HAAs and the variation of the pipe network . First, combined with the actual situation of the pipe network to develop a pipeline of experimental program of water quality monitoring , pipe network on campus a month haloacetic acids and related indicators of water quality monitoring in the laboratory pipe network conducted a three -day secondary chlorination pipe network detection experiments and measurements using ion chromatography method for determination of haloacetic acids . Secondly, through experimental analysis to obtain a large number of haloacetic acids and other pipe network water quality data , and accordingly research laboratory pipe network water quality variation , focusing on analysis of the pipe network HAAs distribution pipe network attenuation variation of time , residual chlorine , pH, temperature , ammonia , UV254, NPOC and other factors on the impact of haloacetic acids . Third, the study of the secondary pipe network formation after chlorination HAAs variation , namely the pipe network after chlorination HAAs roughly twice the performance of fast-rising , stable , fast and slow down lower four stages. Using statistical regression method , the establishment of HAAs and nonlinear multivariate linear regression model . Built using the measured data of the two prediction models was tested by comparing the two methods predict the effect of the proposed model is roughly equal , can be applied to the actual forecast satisfactory results . Finally, we discuss the critical need for forecasting water quality indicators , which for the realization of safe drinking water distribution provides a technical support. Combined with the actual situation of the pipe network and predictions from the water , disinfectants and strengthen the pipe network water quality management three areas corresponding disinfection byproducts control measures.

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CLC: > Industrial Technology > Building Science > Municipal Engineering > Water supply project ( on the Water Works ) > Clean Water ( water treatment ) > Disinfection of drinking water,water biocontrol
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