Solute Migration Mechanisms and Decay Modeling in Dead‐End Pipes of Water Distribution Networks

Abstract Dead‐end pipes in water distribution networks are prone to water quality deterioration due to prolonged stagnation, and fluctuating hydraulic conditions can remobilize accumulated contaminants into the main pipe, threatening downstream water quality. However, the mechanisms and concentration dynamics of pollutant migration in such pipes remain insufficiently understood. This study elucidated solute migration mechanisms and developed an exponential solute decay model for dead‐end pipes through the integration of full‐scale experiments and computational fluid dynamics (CFD) simulations. Velocity and concentration distributions across multiple cross‐sections were analyzed, and the mass exchange coefficient was expressed as a function of geometric and hydraulic parameters. Results show that shear forces at the junction between the main and dead‐end pipes induce a persistent clockwise vortex on the vertical cross‐section, continuously transporting solutes into the main pipe. The interior of dead‐end pipes is not fully stagnant but contains weak recirculating flow, with the longitudinal velocity profile exhibiting a distinct three‐stage pattern. Although forward velocities in the dead‐end pipe are less than 10% of those in the main pipe, advective transport still plays a major role in mass transfer within the velocity disturbance region and the exponential decay region of the dead‐end pipe. The proposed decay model accurately captures temporal solute concentration variations, with a relative error below 0.6%. This model provides a robust basis for water quality assessment at dead‐end junctions and offers practical guidance for predicting water quality responses to sudden pollutant intrusions.

Authors

Institutions

Publication Details

Journal
Water Resources Research
Published
2026-04-01
DOI
https://doi.org/10.1029/2025wr042160
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Solute Migration Mechanisms and Decay Modeling in Dead‐End Pipes of Water Distribution Networks

Huizhe Cao, Jianxun Chen, Shiyuan Hu, Shihua Qi et al.
Water Resources Research
Water Systems and Optimization
article

Solute Migration Mechanisms and Decay Modeling in Dead‐End Pipes of Water Distribution Networks

Huizhe Cao, Jianxun Chen, Shiyuan Hu, Shihua Qi, Jingyang Yu, Wenyan Wu, Yongfeng Huang, Yuanzhe Li, Jinliang Gao, Wei Wang, Wei Zheng
article en

Abstract

Abstract Dead‐end pipes in water distribution networks are prone to water quality deterioration due to prolonged stagnation, and fluctuating hydraulic conditions can remobilize accumulated contaminants into the main pipe, threatening downstream water quality. However, the mechanisms and concentration dynamics of pollutant migration in such pipes remain insufficiently understood. This study elucidated solute migration mechanisms and developed an exponential solute decay model for dead‐end pipes through the integration of full‐scale experiments and computational fluid dynamics (CFD) simulations. Velocity and concentration distributions across multiple cross‐sections were analyzed, and the mass exchange coefficient was expressed as a function of geometric and hydraulic parameters. Results show that shear forces at the junction between the main and dead‐end pipes induce a persistent clockwise vortex on the vertical cross‐section, continuously transporting solutes into the main pipe. The interior of dead‐end pipes is not fully stagnant but contains weak recirculating flow, with the longitudinal velocity profile exhibiting a distinct three‐stage pattern. Although forward velocities in the dead‐end pipe are less than 10% of those in the main pipe, advective transport still plays a major role in mass transfer within the velocity disturbance region and the exponential decay region of the dead‐end pipe. The proposed decay model accurately captures temporal solute concentration variations, with a relative error below 0.6%. This model provides a robust basis for water quality assessment at dead‐end junctions and offers practical guidance for predicting water quality responses to sudden pollutant intrusions.

Water Resources ResearchVol. 62(4)
Birmingham City University (GB), Harbin Institute of Technology (CN), Shaoguan University (CN), Meizhou City People's Hospital (CN), Guangzhou Panyu Polytechnic (CN), Guangdong Polytechnic Normal University (CN), Heilongjiang Institute of Technology (CN), Taiyuan University of Science and Technology (CN), Taiyuan University of Technology (CN)
Clean water and sanitation
Openalex Percentile: Top 36%
Water Systems and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.