目前的氯消毒工艺设计方法涉及C×T的应用 （浓度×时间）概念或综合消毒设计框架（IDDF）（贝拉米） 等人，1998年）。本研究提出了一种新的氯消毒设计方法 计算流体动力学（CFD）。CFD模型用于预测流动结构、质量 在连续流反应器中运输、氯衰变和微生物失活，以及 相关管道。过去氯消毒的CFD模型只预测了氯 接触器流量结构和停留时间分布（Crozes等人，1999；Wang&Falconer， 1998; Hannoun&Boulos，1997年；Stambolieva等人，1993年）。这里描述的模型包括 氯衰变（游离和结合）和微生物失活的实验推导术语 （大肠杆菌、MS2噬菌体和鼠贾第虫）基于Haas等人（1995）的工作。 CFD预测在很大范围内与实验数据一致 微生物灭活率。包括26个参考文献、表格和图表。

Current approaches for chlorine disinfection process design involve application of a C × T (concentration × time) concept or the integrated disinfection design framework (IDDF) (Bellamy et al, 1998). This study presents a new design approach for chlorine disinfection that uses computational fluid dynamics (CFD). CFD models were developed to predict flow structure, mass transport, chlorine decay, and microbial inactivation in a continuous-flow reactor and associated piping. Past CFD models for chlorine disinfection have only predicted chlorine contactor flow structure and residence time distribution (Crozes et al, 1999; Wang & Falconer, 1998; Hannoun & Boulos, 1997; Stambolieva et al, 1993). The model described here incorporates experimentally derived terms for chlorine decay (free and combined) and microbial inactivation ( Escherichia coli, MS2 bacteriophage, and Giardia muris) based on the work of Haas et al (1995). CFD predictions were in good agreement with the experimental data set over a wide range of microbial inactivation rates. Includes 26 references, tables, figures.