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    GIS-Based Decision Support System for Improved Operations and Efficiency Conservation in Large-Scale Irrigation Systems

    Source: Journal of Irrigation and Drainage Engineering:;2012:;Volume ( 138 ):;issue: 010
    Author:
    Enrique Triana
    ,
    John W. Labadie
    DOI: 10.1061/(ASCE)IR.1943-4774.0000481
    Publisher: American Society of Civil Engineers
    Abstract: The long-term sustainability of irrigated agriculture is contingent on application of cost-effective water conservation measures and improved management in the face of intense competition for limited freshwater resources from municipal, industrial, and environmental/ecological interests. A geographic information system (GIS)–based decision support system (GeoDSS) is presented for maximizing water savings from efficiency improvements and conservation measures through integrated management of large-scale irrigation systems. The GeoDSS incorporates the GeoMODSIM network flow optimization model as implemented within ArcGIS Desktop (ESRI, Inc.) and is applied to the large-scale, complex Imperial Irrigation District (IID) water delivery system in California in support of the IID/San Diego County Water Authority (SDCWA) Water Transfer Agreement. IID GeoDSS automatically constructs a GeoMODSIM flow network within an ESRI geodatabase composed of feature classes for IID canals, drains, reservoirs, farm gates, interceptors, and pumpback locations. Following calibration of the baseline network, GeoMODSIM simulations predict substantial water savings from mixtures of strategies of varying cost for improved water management and increased delivery system efficiency and on-farm water conservation, without the need for fallowing or retirement of IID irrigated lands.
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      GIS-Based Decision Support System for Improved Operations and Efficiency Conservation in Large-Scale Irrigation Systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/65388
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    contributor authorEnrique Triana
    contributor authorJohn W. Labadie
    date accessioned2017-05-08T21:53:14Z
    date available2017-05-08T21:53:14Z
    date copyrightOctober 2012
    date issued2012
    identifier other%28asce%29ir%2E1943-4774%2E0000508.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/65388
    description abstractThe long-term sustainability of irrigated agriculture is contingent on application of cost-effective water conservation measures and improved management in the face of intense competition for limited freshwater resources from municipal, industrial, and environmental/ecological interests. A geographic information system (GIS)–based decision support system (GeoDSS) is presented for maximizing water savings from efficiency improvements and conservation measures through integrated management of large-scale irrigation systems. The GeoDSS incorporates the GeoMODSIM network flow optimization model as implemented within ArcGIS Desktop (ESRI, Inc.) and is applied to the large-scale, complex Imperial Irrigation District (IID) water delivery system in California in support of the IID/San Diego County Water Authority (SDCWA) Water Transfer Agreement. IID GeoDSS automatically constructs a GeoMODSIM flow network within an ESRI geodatabase composed of feature classes for IID canals, drains, reservoirs, farm gates, interceptors, and pumpback locations. Following calibration of the baseline network, GeoMODSIM simulations predict substantial water savings from mixtures of strategies of varying cost for improved water management and increased delivery system efficiency and on-farm water conservation, without the need for fallowing or retirement of IID irrigated lands.
    publisherAmerican Society of Civil Engineers
    titleGIS-Based Decision Support System for Improved Operations and Efficiency Conservation in Large-Scale Irrigation Systems
    typeJournal Paper
    journal volume138
    journal issue10
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/(ASCE)IR.1943-4774.0000481
    treeJournal of Irrigation and Drainage Engineering:;2012:;Volume ( 138 ):;issue: 010
    contenttypeFulltext
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