水处理厂模型（WTP模型）是一种预测工具，用于模拟处理厂内的化学反应，重点是消毒和消毒副产物（DBP）。开发该工具是为了支持美国环境保护局第1阶段和第2阶段消毒剂/消毒副产品规则（D/DBPR）的监管开发工作。本文介绍了使用大型地表水处理设施根据信息收集规则（ICR）收集的全尺度水质和处理数据，对WTP模型中包含的几个关键算法进行校准和验证分析的结果。这项工作代表了使用全尺寸数据校准DBP模型并描述其局限性的重大努力。校准工作导致了对几种算法的改进，以更好地匹配观测数据的中心趋势。此外，虽然分析表明WTP模型是预测植物种群水质参数分布的有用工具，但它作为一个站点的准确性- 没有现场特定校准的特定预测模型是有限的。包括表格、数字。

The Water Treatment Plant Model (WTP Model) is a predictive tool for simulating chemistry within a treatment plant, with a focus on disinfection and disinfection byproducts (DBPs). This tool has been developed to support both USEPA's Stage 1 and Stage 2 Disinfectants/Disinfection Byproducts Rule (D/DBPR) regulatory development efforts. This paper presents the results of a calibration and validation analysis of several key algorithms contained in the WTP Model using full-scale water quality and treatment data collected under the Information Collection Rule (ICR) by large surface water treatment utilities. This work represents a significant effort undertaken to use full-scale data to calibrate a DBP model and to characterize its limitations. The calibration effort resulted in improvements to the several algorithms to better match the central tendency of observed data. Furthermore, while the analysis indicates that the WTP Model is a useful tool in predicting distributions of water quality parameters from a population of plants, its accuracy as a site-specific predictive model without site-specific calibration is limited. Includes tables, figures.