YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Hydrologic Engineering
    • 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

    Estimating Selected Parameters for the XAJ Model under Multicollinearity among Watershed Characteristics

    Source: Journal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 001
    Author:
    Bao Weimin
    ,
    Li Qian
    DOI: 10.1061/(ASCE)HE.1943-5584.0000415
    Publisher: American Society of Civil Engineers
    Abstract: Because the problem of prediction in ungauged basins (PUB) has become a central theme of hydrological research, there is a clear need to have an effective and efficient method that can help to transfer information from gauged basins to ungauged ones. Previous research relating the parameters of a hydrologic model to physical drainage basin characteristics has had limited success. Conventional regression procedures do not take into account multicollinearity among the basin characteristics, which have a great effect on the stability of regression equations. This study presents an unbiased ridge regression estimate (URR) that can provide robust regression equations in the presence of multicollinearity. The proposed method is applied to estimate parameters of the Xinanjiang model in 20 watersheds located in southeastern China. Compared with conventional estimations, such as ordinary least squares estimate and ordinary ridge regression estimate, the URR was reduced by 78% for root mean square error, 47% for variance, and 13.1% for Akaike’s Information Criterion. The coefficient of determination
    • Download: (775.8Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Estimating Selected Parameters for the XAJ Model under Multicollinearity among Watershed Characteristics

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/63294
    Collections
    • Journal of Hydrologic Engineering

    Show full item record

    contributor authorBao Weimin
    contributor authorLi Qian
    date accessioned2017-05-08T21:49:05Z
    date available2017-05-08T21:49:05Z
    date copyrightJanuary 2012
    date issued2012
    identifier other%28asce%29he%2E1943-5584%2E0000436.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63294
    description abstractBecause the problem of prediction in ungauged basins (PUB) has become a central theme of hydrological research, there is a clear need to have an effective and efficient method that can help to transfer information from gauged basins to ungauged ones. Previous research relating the parameters of a hydrologic model to physical drainage basin characteristics has had limited success. Conventional regression procedures do not take into account multicollinearity among the basin characteristics, which have a great effect on the stability of regression equations. This study presents an unbiased ridge regression estimate (URR) that can provide robust regression equations in the presence of multicollinearity. The proposed method is applied to estimate parameters of the Xinanjiang model in 20 watersheds located in southeastern China. Compared with conventional estimations, such as ordinary least squares estimate and ordinary ridge regression estimate, the URR was reduced by 78% for root mean square error, 47% for variance, and 13.1% for Akaike’s Information Criterion. The coefficient of determination
    publisherAmerican Society of Civil Engineers
    titleEstimating Selected Parameters for the XAJ Model under Multicollinearity among Watershed Characteristics
    typeJournal Paper
    journal volume17
    journal issue1
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0000415
    treeJournal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 001
    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