ArticleRisk analysis : an official publication of the Society for Risk Analysis2025
Water outage predictions for natural hazards using synthetic water distribution systems.
Article in Risk analysis : an official publication of the Society for Risk Analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
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Who cites it
3 citing papers in PubMed.
- AccES: A Framework for Predicting Building-Level Loss of Accessibility to Essential Services Post-Disasters Based on Publicly Available Information.Risk analysis : an official publication of the Society for Risk Analysis · 2026Article
- Leveraging artificial intelligence to enable sustainable urban development through the creation of smart and environmentally friendly carbon-free cities.Scientific reports · 2025Article
- Water outage predictions for natural hazards using synthetic water distribution systems.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Hazards can impact water systems, leading to water outages that result in economic, environmental, and societal losses. Modeling a system's behavior helps develop short-term restoration strategies and long-term resilience planning. However, data on the topology and operational characteristics of real water systems are often unavailable outside of the utility operating the system, limiting the ability of others depending on the system to understand its vulnerability and resilience. We address this limitation by developing an algorithm that generates a synthetic water distribution system using only publicly available data. Our approach provides hydraulic information at the building level to support infrastructure resilience assessments. We validated our model by comparing the network topologic and hydraulic properties with data from the real water system of Ann Arbor, Michigan. Our synthetic model results indicate that 95% of the simulated building-level pressures were within
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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.