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

    Geographic Information Systems in Urban Storm‐Water Management

    Source: Journal of Water Resources Planning and Management:;1993:;Volume ( 119 ):;issue: 002
    Author:
    Steffen P. Meyer
    ,
    Tarek H. Salem
    ,
    John W. Labadie
    DOI: 10.1061/(ASCE)0733-9496(1993)119:2(206)
    Publisher: American Society of Civil Engineers
    Abstract: Increasing use of distributed, physically based urban storm water management models requires urban water managers to acquire, maintain, and utilize the extensive, spatially referenced data bases necessary to support these efforts. Geographic information systems (GIS) are ideally suited to preparing, storing, updating, analyzing, and displaying these data in conjunction with urban storm water modeling. A physically based urban storm water runoff model is linked to a low‐cost, PC‐based raster GIS package to facilitate preparation, examination, and analysis of spatially distributed model inputs and parameters. Impacts of urban storm water management strategies are analyzed through preprocessing by GIS, calculation of discharge by the urban runoff model, and postprocessing and display of spatial output in the GIS. Three methods of encoding urban features in a raster GIS system are utilized: single value attributed data (SVAD), edge probability attributed data (EPAD), and central attributed raster line (CARL). The viability of the raster GIS/urban storm water model linkage in a microcomputing environment is demonstrated on a study area in the Greenbriar subdivision in Fort Collins, Colorado.
    • Download: (1.768Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Geographic Information Systems in Urban Storm‐Water Management

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/39204
    Collections
    • Journal of Water Resources Planning and Management

    Show full item record

    contributor authorSteffen P. Meyer
    contributor authorTarek H. Salem
    contributor authorJohn W. Labadie
    date accessioned2017-05-08T21:06:54Z
    date available2017-05-08T21:06:54Z
    date copyrightMarch 1993
    date issued1993
    identifier other%28asce%290733-9496%281993%29119%3A2%28206%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/39204
    description abstractIncreasing use of distributed, physically based urban storm water management models requires urban water managers to acquire, maintain, and utilize the extensive, spatially referenced data bases necessary to support these efforts. Geographic information systems (GIS) are ideally suited to preparing, storing, updating, analyzing, and displaying these data in conjunction with urban storm water modeling. A physically based urban storm water runoff model is linked to a low‐cost, PC‐based raster GIS package to facilitate preparation, examination, and analysis of spatially distributed model inputs and parameters. Impacts of urban storm water management strategies are analyzed through preprocessing by GIS, calculation of discharge by the urban runoff model, and postprocessing and display of spatial output in the GIS. Three methods of encoding urban features in a raster GIS system are utilized: single value attributed data (SVAD), edge probability attributed data (EPAD), and central attributed raster line (CARL). The viability of the raster GIS/urban storm water model linkage in a microcomputing environment is demonstrated on a study area in the Greenbriar subdivision in Fort Collins, Colorado.
    publisherAmerican Society of Civil Engineers
    titleGeographic Information Systems in Urban Storm‐Water Management
    typeJournal Paper
    journal volume119
    journal issue2
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)0733-9496(1993)119:2(206)
    treeJournal of Water Resources Planning and Management:;1993:;Volume ( 119 ):;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