三卤甲烷（THMs）和卤乙酸（HAAs）是两类脱感染副产物（DBPs），它们与不良的生殖健康结果有关，包括自然流产、出生缺陷和低出生体重。DBPs对健康影响的流行病学研究在很大程度上依赖于评估目标人群对这些污染物的暴露，尤其是在饮用水中。本研究的目的是评估使用商用配电系统建模预测离消费者水龙头最近的模型节点处DBP水平的有效性。如果成功，这种方法可以更好地理解配电系统内时间和空间上的DBP水平。包括10个参考文献、表格和图表。

Trihalomethanes (THMs) and haloacetic acids (HAAs) are two classes ofdisinfection byproducts (DBPs) that have been implicated in adverse reproductive health outcomes, including spontaneous abortion, birth defects, and low birth weights. Epidemiological research into the health effects of DBPs relies heavily on assessing the exposure of target populations to these contaminants, particularly in drinking water. The goal of this study was to assess the effectiveness of using commercially-available distribution system modeling to predict DBP levels at the model node nearest to the consumer's tap. If successful, this approach could provide a better understanding of DBP levels over both time and space within a distribution system. Includes 10 references, tables, figures.