Hydraulic and Water Quality Reliability and Resiliency for Water Distribution Systems Under Random Demandsby Mao Fang, Univ of Cincinnati, Cincinnati, United States,
James G. Uber, Univ of Cincinnati, Cincinnati, United States,
Abstract: This paper develops a preliminary method to evaluate the reliability and resiliency of water distribution systems under random spatial and temporal demand patterns, including random fire demands. The method uses hydraulic and water quality network models with Monte Carlo simulation techniques to estimate the random spatial and temporal hydraulic and water quality performance.
Subject Headings: Water supply systems | Water quality | Hydraulics | Hydraulic models | Water demand | Hydrologic models | System reliability | Hydraulic networks | Simulation models | Europe | Monaco | Monte Carlo
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