Technical Papers
Jul 6, 2021

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

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Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 9

Abstract

A Lagrangian method to simulate the advection, dispersion, and reaction of a single chemical, biological, or physical constituent within drinking water pipe networks is presented. This Lagrangian approach removes the need for fixed computational grids typically required in Eulerian and Eulerian-Lagrangian methods and allows for nonuniform computational segments. This makes the method fully compatible with the advection-reaction water quality engine currently used in EPANET. An operator splitting approach is used, in which the advection-reaction process is modeled before the dispersion process for each water quality step. The dispersion equation is discretized using a segment-centered finite-difference scheme, and flux continuity boundary conditions are applied at network junctions. A staged approach is implemented to solve the dispersion equation for interconnected pipe networks. First, a linear relationship between the boundary and internal concentrations is established for every pipe. Second, a symmetric and positive definite linear system of equations is constructed to calculate the concentrations at network junctions. Last, pipe internal concentrations are updated based on the junction concentrations. The solution generates exact results when the analytical solutions are available and leads to more accurate water quality simulations than advection-reaction-only water quality models, especially in the areas where dispersion dominates advection.

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Data Availability Statement

Data associated with this work are available from https://catalog.data.gov/dataset/epa-sciencehub. Please contact the corresponding author for any additional model or data needs.

Acknowledgments

Disclaimer

The US Environmental Protection Agency (EPA) through its Office of Research and Development funded the research described herein. It has been subjected to the Agency’s review and has been approved for publication. Note that approval does not signify that the contents necessarily reflect the views of the Agency. Any mention of trade names, products, or services does not imply an endorsement by the US Government or EPA. The EPA does not endorse any commercial products, services, or enterprises. The contractors’ role did not include establishing Agency policy.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 147Issue 9September 2021

History

Received: Jun 9, 2020
Accepted: Mar 15, 2021
Published online: Jul 6, 2021
Published in print: Sep 1, 2021
Discussion open until: Dec 6, 2021

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Authors

Affiliations

Environmental Engineer, Water Infrastructure Div., Center for Environmental Solutions and Emergency Response, US Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268 (corresponding author). Email: [email protected]
Hyoungmin Woo [email protected]
Engineer, Water Quality and Treatment Div., Greater Cincinnati Water Works, 5651 Kellogg Ave., Cincinnati, OH 45230. Email: [email protected]
Environmental Engineer, Water Infrastructure Div., Center for Environmental Solutions and Emergency Response, US Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268. ORCID: https://orcid.org/0000-0002-2935-4422. Email: [email protected]
Regan Murray [email protected]
Division Director, Water Infrastructure Div., Center for Environmental Solutions and Emergency Response, US Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268. Email: [email protected]

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Cited by

  • Comprehensive Framework for Controlling Nonlinear Multispecies Water Quality Dynamics, Journal of Water Resources Planning and Management, 10.1061/JWRMD5.WRENG-6179, 150, 2, (2024).
  • Assessing Uncertainties in Mechanistic Modeling of Quality Fluctuations in Drinking Water Distribution Systems, Journal of Environmental Engineering, 10.1061/JOEEDU.EEENG-7400, 150, 1, (2024).
  • Robust Booster Disinfection Scheduling Using Incomplete Mixing Water Quality Model (EPANET-IMX), World Environmental and Water Resources Congress 2024, 10.1061/9780784485477.122, (1367-1379), (2024).
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  • Water Quality in Premise Plumbing Systems, Premise Plumbing Modeling, 10.1061/9780784485101.ch4, (53-85), (2023).
  • Inferring the Stochasticity Associated with Modeling the Biological Stability of Drinking Water within Distribution Networks, World Environmental and Water Resources Congress 2023, 10.1061/9780784484852.086, (918-940), (2023).
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  • Examining the Longitudinal Dispersion of Solutes Inside Water Distribution Systems, Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0001562, 148, 6, (2022).
  • Closure to “Framework for Modeling Lead in Premise Plumbing Systems Using EPANET” by Jonathan B. Burkhardt, Hyoungmin Woo, James Mason, Feng Shang, Simoni Triantafyllidou, Michael R. Schock, Darren Lytle, and Regan Murray, Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0001522, 148, 2, (2022).
  • Control-theoretic modeling of multi-species water quality dynamics in drinking water networks: Survey, methods, and test cases, Annual Reviews in Control, 10.1016/j.arcontrol.2022.08.003, (2022).

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