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    Identification of Monitoring Stations in Water Distribution System

    Source: Journal of Environmental Engineering:;1997:;Volume ( 123 ):;issue: 008
    Author:
    Arun Kumar
    ,
    M. L. Kansal
    ,
    Geeta Arora
    DOI: 10.1061/(ASCE)0733-9372(1997)123:8(746)
    Publisher: American Society of Civil Engineers
    Abstract: The location of water quality monitoring stations in a water distribution system should be such that the network is represented with the minimum number of monitoring stations. The present guidelines do not describe how the sampling locations are to be optimally identified. The concept of “pathways” helps in reducing the number of monitoring stations and shows that the best set of stations is that which maximizes the demand coverage of the network. The optimal locations are then identified using integer programming. However, dimensionality of the integer programming increases manifold with the increase in network size and for multiple demand patterns. In this study, modifications in this procedure are suggested to reduce the computational efforts and to make the procedure simpler. The present study identifies the location of monitoring stations from the hydraulics of flow and eliminates the use of cumbersome integer programming. The algorithm is illustrated with the help of two examples.
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      Identification of Monitoring Stations in Water Distribution System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/48298
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    • Journal of Environmental Engineering

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    contributor authorArun Kumar
    contributor authorM. L. Kansal
    contributor authorGeeta Arora
    date accessioned2017-05-08T21:21:29Z
    date available2017-05-08T21:21:29Z
    date copyrightAugust 1997
    date issued1997
    identifier other%28asce%290733-9372%281997%29123%3A8%28746%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/48298
    description abstractThe location of water quality monitoring stations in a water distribution system should be such that the network is represented with the minimum number of monitoring stations. The present guidelines do not describe how the sampling locations are to be optimally identified. The concept of “pathways” helps in reducing the number of monitoring stations and shows that the best set of stations is that which maximizes the demand coverage of the network. The optimal locations are then identified using integer programming. However, dimensionality of the integer programming increases manifold with the increase in network size and for multiple demand patterns. In this study, modifications in this procedure are suggested to reduce the computational efforts and to make the procedure simpler. The present study identifies the location of monitoring stations from the hydraulics of flow and eliminates the use of cumbersome integer programming. The algorithm is illustrated with the help of two examples.
    publisherAmerican Society of Civil Engineers
    titleIdentification of Monitoring Stations in Water Distribution System
    typeJournal Paper
    journal volume123
    journal issue8
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)0733-9372(1997)123:8(746)
    treeJournal of Environmental Engineering:;1997:;Volume ( 123 ):;issue: 008
    contenttypeFulltext
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