ArticleJournal of water resources planning and management2020
Review of Modeling Methodologies for Managing Water Distribution Security.
Article in Journal of water resources planning and management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Rapid response and impact assessment of water quality incidents in urban water distribution systems using forensic techniques.Scientific reports · 2026Article
- Design of Monitoring Systems for Contaminant Detection in Water Networks Under Pipe Break-Induced Events.Sensors (Basel, Switzerland) · 2025Article
- K-Nearest Neighbors for Anomaly Detection and Predictive Maintenance in Water Pumping Systems.Sensors (Basel, Switzerland) · 2025Article
- Investigation of innovative designs of high-velocity channels for damping kinetic energy of flows.Water science and technology : a journal of the International Association on Water Pollution Research · 2024Article
- Management and health risk assessment of chemical contamination events in water distribution systems using PSO.Environmental monitoring and assessment · 2022Article
- Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic.Sustainable cities and society · 2022Article
- Machine Learning and Simulation-Optimization Coupling for Water Distribution Network Contamination Source Detection.Sensors (Basel, Switzerland) · 2021Article
- Using Complex Network Analysis for Optimization of Water Distribution Networks.Water resources research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Water distribution systems are vulnerable to hazards that threaten water delivery, water quality, and physical and cybernetic infrastructure. Water utilities and managers are responsible for assessing and preparing for these hazards, and researchers have developed a range of computational frameworks to explore and identify strategies for what-if scenarios. This manuscript conducts a review of the literature to report on the state of the art in modeling methodologies that have been developed to support the security of water distribution systems. First, the major activities outlined in the emergency management framework are reviewed; the activities include risk assessment, mitigation, emergency preparedness, response, and recovery. Simulation approaches and prototype software tools are reviewed that have been developed by government agencies and researchers for assessing and mitigating four threat modes, including contamination events, physical destruction, interconnected infrastructure cascading failures, and cybernetic attacks. Modeling tools are mapped to emergency management activities, and an analysis of the research is conducted to group studies based on methodologies that are used and developed to support emergency management activities. Recommendations are made for research needs that will contribute to the enhancement of the security of water distribution systems.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.