本研究的目标是开发一个模型，用于预测康涅狄格州中南部地区水资源管理局（RWA）分配系统中的游离氯、三卤甲烷（THMs）和卤乙酸（HAAs）浓度。其目的是开发一个模型，在不进行特定条件校准的情况下，捕捉氯剂量、温度和pH值的影响；能够处理不同来源的水与不同天然有机物（NOM）特性或应用氯剂量的混合；这可以很容易地进行修改，以模拟其他副产品，包括反应性物种。开发了给水系统中THMs、HAAs和氯的模型，并进行了现场测试。该模型利用氯/NOM反应动力学的半机械表示。 在这种方法下，跟踪多种物质的浓度，局部反应速率基于反应物的浓度（氯和NOM位置）。在康涅狄格州纽黑文配水系统对模型进行现场测试时，发现模型预测与氯残留、THMs和HAAs的现场测量结果吻合良好。该模型考虑了在无衬里铁管中与腐蚀产物反应产生的氯需求。模型中没有其他管道反应组件，这表明管道壁反应可能对纽黑文系统不重要。对于不同的反应物浓度和不同的反应物浓度，尤其是不同的反应物浓度和反应物浓度的显式建模方法。

The goal of this research was to develop a model for predicting free chlorine, Trihalomethanes (THMs), and Haloacetic Acids (HAAs) concentrations in the South Central Connecticut Regional Water Authority (RWA) distribution system. The objective was to develop a model that captures the effects of chlorine dose, temperature and pH without condition-specific calibration; that can handle mixing of waters from different sources with different natural organic matter (NOM) characteristics or applied chlorine doses; and that could be easily modified to model additional byproducts including reactive species. A model for THMs, HAAs and chlorine in water distribution systems was developed and field-tested. The model utilizes a semi-mechanistic representation of chlorine/NOM reaction kinetics. Under this approach, multiple substance concentrations are tracked and local reaction rates are based on the concentrations of the reactants (chlorine and NOM sites). Good agreement between model predictions and field measurements of chlorine residuals, THMs, and HAAs was observed when the model was field-tested in the New Haven, Connecticut, distribution system. The model accounts for chlorine demand due to reactions with corrosion products in unlined iron pipes. There is no other pipe reaction component in the model, suggesting that pipe wall reactions may not be important for the New Haven system. Explicit representation of reactant concentrations, temperature and pH in the kinetic model make this approach especially well suited for "what if" modeling, modeling of reactive byproducts, and modeling systems with multiple sources of different NOM quality or different chlorine doses.