Modeling and Optimization of Water Quality in Distribution Systems
Summary
Water quality in drinking water distribution systems is governed by a complex interplay of hydraulic transport, chemical reactions and biological processes. Mathematical and computational models simulate flow patterns, residence times and contaminant transport to predict spatial and temporal variations in disinfectant residuals, by-product formation and pathogen concentrations. Such models typically couple hydraulic simulation engines with water quality modules that describe chlorine decay kinetics, wall reactions and multispecies interactions. Advances in optimisation techniques, including genetic algorithms, particle swarm optimisation and other meta-heuristics, enable the identification of optimal dosing schedules, booster station locations and network design parameters to maintain regulatory standards while minimising chemical usage and public health risks. Recent work has extended single-species decay models to incorporate pathogen transport dynamics and microbial regrowth, integrated uncertainty quantification frameworks and real-time monitoring data assimilation. These developments provide utilities with tools for risk-based decision making, adaptive management under demand uncertainty and resilience assessment against contamination events. Global urbanisation, ageing infrastructure and stricter disinfection by-product regulations continue to drive research towards more accurate, efficient and scalable modelling and optimisation solutions that support safe and sustainable water supply operations.
Research from Nature Portfolio
No recent Nature Portfolio content available.
Modeling and Optimization of Water Quality in Distribution Systems publication trend
The graph below shows the total number of articles in modeling and optimization of water quality in distribution systems across all publications each year (not limited to Nature Index journals).
Technical terms
Hydraulic modelling: Computational simulation of flow, pressure and water age in distribution networks.
Chlorine decay kinetics: Mathematical description of the rate at which disinfectant residuals diminish due to bulk and wall reactions.
Advection-dispersion-reaction model: Framework combining advective transport, molecular dispersion and chemical or biological reactions.
Quantitative Microbial Risk Assessment (QMRA): Methodology for estimating infection risks based on exposure concentrations and dose-response relationships.
Meta-heuristic optimisation: Algorithmic approach (for example genetic algorithm or particle swarm optimisation) to identify near-optimal solutions in complex decision spaces.
EPANET: Widely used open-source software for hydraulic and water quality simulation in drinking water networks.
References
- Modeling the health impact of wastewater contamination events in drinking water networks. Journal of Cleaner Production (2024).
- Residual chlorine modelling in drinking water distribution system of Bishoftu Town, Ethiopia. Results in Engineering (2025).
- Integration of Hydraulic and Water Quality Modelling in Distribution Networks: EPANET-PMX. Water Resources Management (2017).
- Modelling chlorine wall decay in a full-scale water supply system. Urban Water Journal (2020).
- Modeling Bacterial Regrowth and Trihalomethane Formation in Water Distribution Systems. Water (2021).
- Investigating the Impacts of Water Conservation on Water Quality in Distribution Networks Using an Advection-Dispersion Transport Model. Water (2020).
- Optimal design and management of chlorination in drinking water networks: a multi-objective approach using Genetic Algorithms and the Pareto optimality concept. Applied Water Science (2017).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.