YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Methods for Preserving Duration–Intensity Correlation on Synthetically Generated Water-Demand Pulses

    Source: Journal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 002
    Author:
    Enrico Creaco
    ,
    Stefano Alvisi
    ,
    Raziyeh Farmani
    ,
    Lydia Vamvakeridou-Lyroudia
    ,
    Marco Franchini
    ,
    Zoran Kapelan
    ,
    Dragan Savic
    DOI: 10.1061/(ASCE)WR.1943-5452.0000613
    Publisher: American Society of Civil Engineers
    Abstract: This paper proposes the application of three different methods for preserving the correlation between duration and intensity of synthetically generated water-demand pulses. The first two methods, that is, the Iman and Conover method and the Gaussian copula, respectively, are derived from known statistical approaches, although they had never been applied to the context of demand-pulse generation. The third is a novel methodology developed in this work and is a variation in the Gaussian copula approach. Poisson models fitted with the methods are applied to reproduce the measured pulses in one household, with parameters being obtained with the method of moments. Comparisons are made with another method previously proposed in the scientific literature, showing that the three methods have similar effectiveness and are applicable under more general conditions.
    • Download: (1.029Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Methods for Preserving Duration–Intensity Correlation on Synthetically Generated Water-Demand Pulses

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/81607
    Collections
    • Journal of Water Resources Planning and Management

    Show full item record

    contributor authorEnrico Creaco
    contributor authorStefano Alvisi
    contributor authorRaziyeh Farmani
    contributor authorLydia Vamvakeridou-Lyroudia
    contributor authorMarco Franchini
    contributor authorZoran Kapelan
    contributor authorDragan Savic
    date accessioned2017-05-08T22:30:01Z
    date available2017-05-08T22:30:01Z
    date copyrightFebruary 2016
    date issued2016
    identifier other46993649.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81607
    description abstractThis paper proposes the application of three different methods for preserving the correlation between duration and intensity of synthetically generated water-demand pulses. The first two methods, that is, the Iman and Conover method and the Gaussian copula, respectively, are derived from known statistical approaches, although they had never been applied to the context of demand-pulse generation. The third is a novel methodology developed in this work and is a variation in the Gaussian copula approach. Poisson models fitted with the methods are applied to reproduce the measured pulses in one household, with parameters being obtained with the method of moments. Comparisons are made with another method previously proposed in the scientific literature, showing that the three methods have similar effectiveness and are applicable under more general conditions.
    publisherAmerican Society of Civil Engineers
    titleMethods for Preserving Duration–Intensity Correlation on Synthetically Generated Water-Demand Pulses
    typeJournal Paper
    journal volume142
    journal issue2
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000613
    treeJournal of Water Resources Planning and Management:;2016:;Volume ( 142 ):;issue: 002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian