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    Recovering the Release History of a Pollutant Intrusion into a Water Supply System through a Geostatistical Approach

    Source: Journal of Water Resources Planning and Management:;2013:;Volume ( 139 ):;issue: 004
    Author:
    Ilaria Butera
    ,
    Fulvio Boano
    ,
    Roberto Revelli
    ,
    Luca Ridolfi
    DOI: 10.1061/(ASCE)WR.1943-5452.0000267
    Publisher: American Society of Civil Engineers
    Abstract: This work addresses the issue of recovering the release history of a pollutant injection in water distribution systems through the application of geostatistical tools. Geostatistical tools are applied to the inverse problem of recovering the release history of a pollutant injected into a water distribution pipeline network in this paper. This application assesses the uncertainty in the concentration measurements and the release function by considering them as random variables characterized by their statistical moments. Performance of the geostatistical application to steady and unsteady flow conditions hinges on numerical modelling of the hydraulic behavior of the water distribution system and evaluation of a transfer function that characterizes the probability of contaminant migration at control points in the network. A sensitivity analysis is carried out and it proves that the methodology is stable with respect to measurement errors and uncertainty in the network description (roughness coefficients and water demands). The analysis of error terms, the relative error of the released contaminant mass and the root-mean square error of the recovered release function, demonstrates that the geostatistical methodology is able to characterize the release history of a contaminant in a water distribution pipeline system.
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      Recovering the Release History of a Pollutant Intrusion into a Water Supply System through a Geostatistical Approach

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    http://yetl.yabesh.ir/yetl1/handle/yetl/70132
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    contributor authorIlaria Butera
    contributor authorFulvio Boano
    contributor authorRoberto Revelli
    contributor authorLuca Ridolfi
    date accessioned2017-05-08T22:03:31Z
    date available2017-05-08T22:03:31Z
    date copyrightJuly 2013
    date issued2013
    identifier other%28asce%29wr%2E1943-5452%2E0000319.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/70132
    description abstractThis work addresses the issue of recovering the release history of a pollutant injection in water distribution systems through the application of geostatistical tools. Geostatistical tools are applied to the inverse problem of recovering the release history of a pollutant injected into a water distribution pipeline network in this paper. This application assesses the uncertainty in the concentration measurements and the release function by considering them as random variables characterized by their statistical moments. Performance of the geostatistical application to steady and unsteady flow conditions hinges on numerical modelling of the hydraulic behavior of the water distribution system and evaluation of a transfer function that characterizes the probability of contaminant migration at control points in the network. A sensitivity analysis is carried out and it proves that the methodology is stable with respect to measurement errors and uncertainty in the network description (roughness coefficients and water demands). The analysis of error terms, the relative error of the released contaminant mass and the root-mean square error of the recovered release function, demonstrates that the geostatistical methodology is able to characterize the release history of a contaminant in a water distribution pipeline system.
    publisherAmerican Society of Civil Engineers
    titleRecovering the Release History of a Pollutant Intrusion into a Water Supply System through a Geostatistical Approach
    typeJournal Paper
    journal volume139
    journal issue4
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000267
    treeJournal of Water Resources Planning and Management:;2013:;Volume ( 139 ):;issue: 004
    contenttypeFulltext
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