2012
DOI: 10.5897/ijps11.873
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Modeling flow regime transition in intermittent water supply networks using the interface tracking method

Abstract: For several ailing water distribution networks in the world, during conditions of excessive withdrawals or insufficient water production, pressures fall to very low or even negligible values and consequently, no water can be supplied. Usually, most pipes have water which either fills or nearly fills their cross sectional areas but the pressure to push it out is absent. With conditions changing from pressurized to no pressure (free surface flow), existing water supply models are unable to simulate either free s… Show more

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Cited by 5 publications
(2 citation statements)
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References 15 publications
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“…In the same context, different research works were devoted to developing powerful tools to simulate water systems with normal, low, or no pressure. The used models comprise demand-driven models, head-driven models, and models of mixed flow in pipelines [5,123]. Mohan and Abhijith [124] proposed an improved pressure-dependent analysis integrating partial-flow characteristics to simulate the hydraulic behavior of IWSSs.…”
Section: Modelling Design and Optimization Techniquesmentioning
confidence: 99%
“…In the same context, different research works were devoted to developing powerful tools to simulate water systems with normal, low, or no pressure. The used models comprise demand-driven models, head-driven models, and models of mixed flow in pipelines [5,123]. Mohan and Abhijith [124] proposed an improved pressure-dependent analysis integrating partial-flow characteristics to simulate the hydraulic behavior of IWSSs.…”
Section: Modelling Design and Optimization Techniquesmentioning
confidence: 99%
“…Intermittent systems experience more repetitive fluctuations in pipe pressures than continuous systems [48,60]. Furthermore, entrapped air bubbles may get overpressured following their infiltration to the pipes during the supply halt periods [24,61].…”
Section: Network Deteriorationmentioning
confidence: 99%