Burkhardt Jonathan B, Woo Hyoungmin, Mason James, Shang Feng, Triantafyllidou Simoni, Schock Michael R, Lytle Darren, Murray Regan
Environmental Engineer, Center for Environmental Solutions and Emergency Response, Water Infrastructure Div., Drinking Water Management Branch, US Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268.
Engineer, Metropolitan Sewer District of Greater Cincinnati, 1600 Gest St., Cincinnati, OH 45204; formerly, ORISE Postdoctoral Fellow, Oak Ridge Institute of Science and Education, 26 West Martin Luther King Dr., Cincinnati, OH 45268.
J Water Resour Plan Manag. 2020 Dec 1;24(12). doi: 10.1061/(asce)wr.1943-5452.0001304.
The lead contamination of drinking water in homes and buildings remains an important public health concern. In order to assess strategies to measure and reduce exposure to lead from drinking water, models are needed that incorporate the multiple factors affecting lead concentrations in premise plumbing systems (PPS). In this study, the use of EPANET, a commonly used hydraulic and water quality model for water distribution systems, was assessed for its ability to predict lead concentrations in PPS. The model was calibrated and validated against data collected from multiple experiments in the EPA's Home Plumbing Simulator that contained a lead service line and other lead sources. The EPANET's first-order saturation kinetics model was used to simulate the dissolution of lead in the lead service line. A version of EPANET was developed to include one-dimensional mass dispersion. Modeling results were compared to experimental data, and recommendations were made to improve the EPANET-based modeling framework for predicting lead concentrations in PPS.
家庭和建筑物中饮用水的铅污染仍然是一个重要的公共卫生问题。为了评估测量和减少饮用水中铅暴露的策略,需要建立包含影响建筑物内部管道系统(PPS)中铅浓度的多种因素的模型。在本研究中,评估了常用的供水管网水力和水质模型EPANET预测PPS中铅浓度的能力。该模型根据美国环境保护局家庭管道模拟器中多个实验收集的数据进行了校准和验证,这些实验包含一条铅质服务管道和其他铅源。使用EPANET的一级饱和动力学模型来模拟铅质服务管道中铅的溶解。开发了一个包含一维质量扩散的EPANET版本。将建模结果与实验数据进行比较,并提出了改进基于EPANET的预测PPS中铅浓度的建模框架的建议。