美国环境保护局（USEPA）发起了一项名为“水资源保护”的行动 资源适应计划（WRAP），旨在开发 可以评估全球气候变化对城市饮用水和废水的影响 基础设施本文提出了一个三步方案 评估气候变化对水处理运行和设计的影响的方法，作为本项目下进行的研究的一个例证。第一步是水源水的随机表征，第二步是 使用美国环保局水处理厂模型，第三步是应用成本 算法提供了一个可用于评估气候变化影响的指标。这个 该模型使用从大辛辛那提水厂的Richard收集的数据进行了验证 美国环保局信息收集规则（ICR）数据库的米勒水处理厂（WTP）。一 原水假设扰动对水处理过程的响应分析 质量部门确定总有机碳（TOC）、pH和溴是影响环境质量的三个最重要参数 米勒WTP的性能。米勒工厂采用美国环保局WTP模型进行模拟，以 检查这些参数对选定的调节水质参数的影响。 对现有和未来水处理厂流量和进水水质的不确定性进行了分析，以 估计违反饮用水最高污染物水平（MCL）的风险。水 使用蒙特卡罗模拟预测了2100年俄亥俄河的水质变化。这个 水处理厂模拟模型用于评估水质变化对水处理厂的影响 设计和操作。结果表明，现有Miller WTP操作可以适应 流入量和水质的大多数变化，但可能不符合《安全饮用水法案》MCL 对某些极端未来条件的要求。然而，研究发现，MCL的风险 未来条件下的违规行为可以通过加强现有水处理厂的设计和管理加以控制 操作或通过工艺改造和修改。算法被用于估计 与这些WTP调整相关的成本。包括14个参考文献、表格和图表。

The U.S. Environmental Protection Agency (USEPA) has initiated an effort called the Water Resources Adaptation Program (WRAP), which is intended to develop tools and techniques that can assess the impact of global climate change on urban drinking water and wastewater infrastructure. This paper presents a three step approach to assessing climate change impacts on water treatment operation and design as an illustration of the research conducted under this project. The first step is the stochastic characterization of source water, the second step is the use of the USEPA Water Treatment Plant model, and the third step is the application of cost algorithms to provide a metric that can be used to assess the impact of climate change. The model was validated using data collected from the Greater Cincinnati Water Works' Richard Miller water treatment plant (WTP) for the USEPA Information Collection Rule (ICR) database. An analysis of the water treatment processes in response to assumed perturbations in raw water quality identified total organic carbon (TOC), pH, and bromide as the three most important parameters affecting performance of the Miller WTP. The Miller plant was simulated using the USEPA WTP model to examine the impact of these parameters on selected regulated water quality parameters. Uncertainty in existing and future WTP flow rates and influent water quality was analyzed to estimate the risk of violating drinking water maximum contaminant levels (MCLs). Water quality changes in the Ohio River were projected for 2100 using Monte Carlo simulation. The WTP simulation model was then used to evaluate the effects of water quality changes on WTP design and operation. Results indicate that the existing Miller WTP operation can accommodate most changes in inflow and water quality but might not meet Safe Drinking Water Act MCL requirements for certain extreme future conditions. However, it was found that the risk of MCL violations under future conditions could be controlled by enhancing existing WTP design and operation or by process retrofitting and modification. Algorithms were applied to estimate the costs associated with these WTP adaptations. Includes 14 references, tables, figures.