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    Spectral Clustering and Multicriteria Decision for Design of District Metered Areas

    Source: Journal of Water Resources Planning and Management:;2018:;Volume ( 144 ):;issue: 005
    Author:
    Liu Jun;Han Rui
    DOI: 10.1061/(ASCE)WR.1943-5452.0000916
    Publisher: American Society of Civil Engineers
    Abstract: The design of district metered areas (DMAs) has many factors to be considered to reduce the adverse effect of the closure of valves. A three-step methodology for DMA design is proposed based on spectral clustering algorithm and graph theory. The first step is to calculate the nontrivial eigenvectors based on a weighted graph of the water distribution network. The second step is optimal nodes clustering as DMAs by spectral clustering. The third step is to determine the location of meters and valves by a proposed heuristic method. The multicriteria decision method is then used to determine the best DMAs solution. A simple example network is used to demonstrate the method, and a real-world network, the Wolf-Cordera Ranch, is applied to test the feasibility and effectiveness of the proposed method for DMA design in actual systems. Results show that the proposed method can identify different DMA solutions effectively, and better DMA design can be obtained considering different performance criteria.
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      Spectral Clustering and Multicriteria Decision for Design of District Metered Areas

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    contributor authorLiu Jun;Han Rui
    date accessioned2019-02-26T07:53:57Z
    date available2019-02-26T07:53:57Z
    date issued2018
    identifier other%28ASCE%29WR.1943-5452.0000916.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250142
    description abstractThe design of district metered areas (DMAs) has many factors to be considered to reduce the adverse effect of the closure of valves. A three-step methodology for DMA design is proposed based on spectral clustering algorithm and graph theory. The first step is to calculate the nontrivial eigenvectors based on a weighted graph of the water distribution network. The second step is optimal nodes clustering as DMAs by spectral clustering. The third step is to determine the location of meters and valves by a proposed heuristic method. The multicriteria decision method is then used to determine the best DMAs solution. A simple example network is used to demonstrate the method, and a real-world network, the Wolf-Cordera Ranch, is applied to test the feasibility and effectiveness of the proposed method for DMA design in actual systems. Results show that the proposed method can identify different DMA solutions effectively, and better DMA design can be obtained considering different performance criteria.
    publisherAmerican Society of Civil Engineers
    titleSpectral Clustering and Multicriteria Decision for Design of District Metered Areas
    typeJournal Paper
    journal volume144
    journal issue5
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000916
    page4018013
    treeJournal of Water Resources Planning and Management:;2018:;Volume ( 144 ):;issue: 005
    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