Literature DB >> 33627937

Framework for Modeling Lead in Premise Plumbing Systems Using EPANET.

Jonathan B Burkhardt1, Hyoungmin Woo2, James Mason3, Feng Shang1, Simoni Triantafyllidou1, Michael R Schock4, Darren Lytle1, Regan Murray5.   

Abstract

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.

Entities:  

Year:  2020        PMID: 33627937      PMCID: PMC7898126          DOI: 10.1061/(asce)wr.1943-5452.0001304

Source DB:  PubMed          Journal:  J Water Resour Plan Manag        ISSN: 0733-9496            Impact factor:   3.054


  2 in total

1.  Lagrangian Method to Model Advection-Dispersion-Reaction Transport in Drinking Water Pipe Networks.

Authors:  Feng Shang; Hyoungmin Woo; Jonathan B Burkhardt; Regan Murray
Journal:  J Water Resour Plan Manag       Date:  2021-09       Impact factor: 3.457

2.  The impact of sampling approach and daily water usage on lead levels measured at the tap.

Authors:  Darren A Lytle; Casey Formal; Kelly Cahalan; Christy Muhlen; Simoni Triantafyllidou
Journal:  Water Res       Date:  2021-03-19       Impact factor: 13.400

  2 in total

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