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    Daily Evapotranspiration Modeling from Limited Weather Data by Using Neuro-Fuzzy Computing Technique

    Source: Journal of Irrigation and Drainage Engineering:;2012:;Volume ( 138 ):;issue: 001
    Author:
    Fatemeh Karimaldini
    ,
    Lee Teang Shui
    ,
    Thamer Ahmed Mohamed
    ,
    Mohammadreza Abdollahi
    ,
    Najmeh Khalili
    DOI: 10.1061/(ASCE)IR.1943-4774.0000343
    Publisher: American Society of Civil Engineers
    Abstract: Evapotranspiration is an integral part of the hydrologic cycle and an important component in water resource development and management, especially in the arid and semiarid conditions such as those found in Iran in which water resources are limited. The standard Food and Agricultural Organization of the United Nations (FAO)-56 Penman-Monteith (PM) equation requires several meteorological inputs for estimating reference evapotranspiration (
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      Daily Evapotranspiration Modeling from Limited Weather Data by Using Neuro-Fuzzy Computing Technique

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/65241
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    • Journal of Irrigation and Drainage Engineering

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    contributor authorFatemeh Karimaldini
    contributor authorLee Teang Shui
    contributor authorThamer Ahmed Mohamed
    contributor authorMohammadreza Abdollahi
    contributor authorNajmeh Khalili
    date accessioned2017-05-08T21:52:58Z
    date available2017-05-08T21:52:58Z
    date copyrightJanuary 2012
    date issued2012
    identifier other%28asce%29ir%2E1943-4774%2E0000373.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/65241
    description abstractEvapotranspiration is an integral part of the hydrologic cycle and an important component in water resource development and management, especially in the arid and semiarid conditions such as those found in Iran in which water resources are limited. The standard Food and Agricultural Organization of the United Nations (FAO)-56 Penman-Monteith (PM) equation requires several meteorological inputs for estimating reference evapotranspiration (
    publisherAmerican Society of Civil Engineers
    titleDaily Evapotranspiration Modeling from Limited Weather Data by Using Neuro-Fuzzy Computing Technique
    typeJournal Paper
    journal volume138
    journal issue1
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/(ASCE)IR.1943-4774.0000343
    treeJournal of Irrigation and Drainage Engineering:;2012:;Volume ( 138 ):;issue: 001
    contenttypeFulltext
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