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    Equality in Unrestricted Intermittent Water Supply Networks: Conceptual Model 

    Source: Journal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 006:;page 04025010-1
    Author(s): John Gibson; David Meyer
    Publisher: American Society of Civil Engineers
    Abstract: Up to a billion people receive drinking water intermittently, sometimes for just a few hours per week. Improving water quality and reducing inequality in these supply networks can be difficult because operational details ...
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    Predicting Health Risks from Intrusion into Drinking Water Pipes over Time 

    Source: Journal of Water Resources Planning and Management:;2019:;Volume ( 145 ):;issue: 003
    Author(s): John Gibson; Bryan Karney; Yiping Guo
    Publisher: American Society of Civil Engineers
    Abstract: This exploratory study uses corrosion rates in aging metal pipes to predict the number of holes in drinking water supply systems over time. Using this estimate of the number of holes, it is possible to estimate the volume ...
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    Effects of Relaxed Minimum Pipe Diameters on Fire Flow, Cost, and Water Quality Indicators in Drinking Water Distribution Networks 

    Source: Journal of Water Resources Planning and Management:;2020:;Volume ( 146 ):;issue: 008
    Author(s): John Gibson; Bryan Karney; Yiping Guo
    Publisher: ASCE
    Abstract: The use of pipes no smaller than 150 mm (6 in.) in diameter is often recommended for fire protection in North America. This work examines the some of the costs and benefits of this restriction by looking at a ...
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    Effects of Demand, Mixing Fraction, and Rate Coefficient Uncertainty on Water Quality Models 

    Source: Journal of Water Resources Planning and Management:;2020:;Volume ( 146 ):;issue: 005
    Author(s): John Gibson; Bryan Karney; Yiping Guo
    Publisher: ASCE
    Abstract: The effects uncertainty on water quality predictions by the free water distribution modeling software created by the US Environment Protection Agency (EPANET2) are assessed using both design of experiments (DOE) and Monte ...
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