Study On Numerical Model And Statistical Model Of Disinfection By-Products Trihalomethanes In Water Supply Network In J City

Chlorine disinfection is the most widely used disinfection method.The problem of disinfection byproducts caused by chlorine disinfection has attracted more and more attention.This subject takes J city water supply pipe network as the research object,with the goal of ensuring the safety of drinking water quality,researches the formation of trihalomethanes and haloacetonitrile,the influencing factors and the changing rules in the water supply pipe network.Based on the monitoring of water quality indicators in the water supply network to obtain a large amount of data,two different algorithms were used to establish the prediction models for trihalomethanes and haloacetonitrile as a by-product of the water supply network,so that small towns have limited monitoring capabilities and technical means.Next,the content of disinfection byproducts in the pipeline network can be predicted.First,a static laboratory study was conducted to obtain the clean water from the clean water plant as the test water after adding the disinfectant water to the laboratory,and analyze the residual chlorine,TOC,pH,temperature,ammonia nitrogen,reaction time and other factors through the static main body water test.The impact of trihalomethanes and haloacetonitrile formation laid a theoretical foundation for the establishment of a predictive model for disinfectant by-products of water distribution networks.Secondly,the water quality of the actual water supply network was dynamically monitored and the water intake inspection system was conducted for 24 hours a week in the J water supply network.Combined with the status quo of the water supply network of J city,six sampling points on the water intake path were sampledand tested,and the correlation between various water quality indexes and disinfection byproducts was analyzed,and the basic water quality data for modeling was obtained.Using water age as a special water quality index,we studied the changing rule of water age in water supply pipe network and its correlation with disinfection by-products.We found that the correlation between water age and disinfection byproducts at the same time in the same node of water supply pipe network.The sex is obviously superior to the correlation between water age and disinfection byproducts at different nodes in the same period.Finally,based on the correlation between water quality indicators and disinfection byproducts,a multivariate linear regression model and BP neural network model were used to establish a trihalomethane and haloacetonitrile prediction model based on the J city water supply network.The measured data was used to test the prediction model established by the two methods.After comparison,the multiple linear regression model has better prediction effect.After the model is optimized,it can be used in the practical application of trihalomethane and haloacetonitrile in the water supply pipe network.