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    Modeling in the COVID-19 Pandemic: Overcoming the Water Sector’s Data Struggles to Realize the Potential of Hydraulic Models

    Source: Journal of Water Resources Planning and Management:;2022:;Volume ( 148 ):;issue: 006::page 05022003
    Author:
    Helena R. Tiedmann
    ,
    Lauryn A. Spearing
    ,
    Lina Sela
    ,
    Kerry Kinney
    ,
    Mary Jo Kirisits
    ,
    Lynn E. Katz
    ,
    Jessica Kaminsky
    ,
    Kasey M. Faust
    DOI: 10.1061/(ASCE)WR.1943-5452.0001561
    Publisher: ASCE
    Abstract: Hydraulic models can provide efficient and cost-effective ways for water utilities to evaluate changes in operating conditions (e.g., population dynamics, disasters), thereby increasing system resiliency during crises. Unfortunately, model development remains out of reach for many utilities because of high software costs, data needs, or personnel requirements. This study seeks to classify hydraulic modeling data needs, identify success factors and challenges associated with model development, and determine whether modeling a subzone of a larger water distribution network can provide useful insights during a crisis, specifically the COVID-19 pandemic. At the pandemic onset, we began developing a hydraulic model of the water distribution system of the University of Texas at Austin campus—a subsystem of the water distribution network of Austin, Texas—to understand how spatiotemporal changes in water demands impacted system performance. We found that the completed model can offer useful insight into the impacts of demand changes within the modeled subsystem (e.g., potential locations of water stagnation). However, the data collection and processing challenges encountered (e.g., siloed collection efforts, lack of standardization, lengthy processing) reflect barriers to model development and use. The amount of time required to gather and process the necessary data shows that model development cannot occur during a time-sensitive crisis, likely rendering any insight too late for use. Here, we make recommendations to address data-related challenges and support utilities in incorporating hydraulic modeling into emergency planning.
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      Modeling in the COVID-19 Pandemic: Overcoming the Water Sector’s Data Struggles to Realize the Potential of Hydraulic Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4282667
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    • Journal of Water Resources Planning and Management

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    contributor authorHelena R. Tiedmann
    contributor authorLauryn A. Spearing
    contributor authorLina Sela
    contributor authorKerry Kinney
    contributor authorMary Jo Kirisits
    contributor authorLynn E. Katz
    contributor authorJessica Kaminsky
    contributor authorKasey M. Faust
    date accessioned2022-05-07T20:37:17Z
    date available2022-05-07T20:37:17Z
    date issued2022-03-24
    identifier other(ASCE)WR.1943-5452.0001561.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4282667
    description abstractHydraulic models can provide efficient and cost-effective ways for water utilities to evaluate changes in operating conditions (e.g., population dynamics, disasters), thereby increasing system resiliency during crises. Unfortunately, model development remains out of reach for many utilities because of high software costs, data needs, or personnel requirements. This study seeks to classify hydraulic modeling data needs, identify success factors and challenges associated with model development, and determine whether modeling a subzone of a larger water distribution network can provide useful insights during a crisis, specifically the COVID-19 pandemic. At the pandemic onset, we began developing a hydraulic model of the water distribution system of the University of Texas at Austin campus—a subsystem of the water distribution network of Austin, Texas—to understand how spatiotemporal changes in water demands impacted system performance. We found that the completed model can offer useful insight into the impacts of demand changes within the modeled subsystem (e.g., potential locations of water stagnation). However, the data collection and processing challenges encountered (e.g., siloed collection efforts, lack of standardization, lengthy processing) reflect barriers to model development and use. The amount of time required to gather and process the necessary data shows that model development cannot occur during a time-sensitive crisis, likely rendering any insight too late for use. Here, we make recommendations to address data-related challenges and support utilities in incorporating hydraulic modeling into emergency planning.
    publisherASCE
    titleModeling in the COVID-19 Pandemic: Overcoming the Water Sector’s Data Struggles to Realize the Potential of Hydraulic Models
    typeJournal Paper
    journal volume148
    journal issue6
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0001561
    journal fristpage05022003
    journal lastpage05022003-16
    page16
    treeJournal of Water Resources Planning and Management:;2022:;Volume ( 148 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian