comparison of regression tree, artificial neural network and hargrives-samani in estimation of reference evapotranspiration in semi region

نویسندگان

میترا بخشوده

کارشناس ارشد گروه مهندسی آبیاری و زهکشی پردیس ابوریحان دانشگاه تهران علی رحیمی خوب

استاد گروه مهندسی آبیاری و زهکشی پردیس ابوریحان دانشگاه تهران

چکیده

the purpose of this study was to evaluate three models of artificial neural networks (ann), regression trees (m5) and hargrives-samani (hg) in estimation of reference evapotranspiration. for this purpose was used climate information of sistan va baloochestan, kerman, yazd and khorasan jonoobi from 1998 to 2008. in addition to effect of wind (u) on evapotranspiration (et0), estimation of et0 was done based on wind change in tree groups including u

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