پديد آورنده :
بيابانكي، منيره
عنوان :
كوچك مقياس كردن نتايج حاصل از مدل هاي اقليم جهاني با استفاده از روش طيفي و كاربرد آن در تعيين عملكرد گندم ديم
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي
صفحه شمار :
چهارده،185ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي وانگليسي
استاد راهنما :
سعيد اسلاميان، جهانگير عابدي كوپايي
استاد مشاور :
مهدي قيصري،منيره فرامرزي
توصيفگر ها :
تحليل اجزاي اصلي , تحليل طيف تكين چندگانه , شاخص استاندارد بارندگي , تغييرات زماني-مكاني غرب ايران , مدل گياهي DSSAT
تاريخ نمايه سازي :
11/10/92
استاد داور :
فرهاد موسوي، سعيد سلطاني كوپايي، عليرضا سلطاني تودشكي
كد ايرانداك :
ID589 دكتري
چكيده فارسي :
به فارسي وانگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Downscaling of the Global Climate Models Data by Spectral Analysis for Using in Investigating Rainfed Wheat Yield Monireh Biabanaki biabanaki eng@gmail com July 27 2013 Department of Water EngineeringIsfahan University of Technology Isfahan 84156 83111 Iran 1th Supervisor S S Eslamian saeid@cc iut ac irJ Abedi Koupai 1 2th Supervisor koupai@cc iut ac irM Gheysari 2 Advisor gheysari@cc iut ac irM Faramarzi 3 Advisor monireh faramarzi@cc iut ac irCollege Graduate Program Coordinator J Khajeali Assistant ProfessorAbstractThis thesis presents a new multivariate statistical approach to downscale the hydroclimaticvariables associated with global climate signals from low resolution Global ClimateModels GCMs to high resolution grids that are appropriate for regional and localhydrologic analysis in west and northwestern Iran The approach uses PrincipalComponent Analysis PCA and Multichannel Singular Spectrum Analysis MSSA to evaluate significant variation modes among global climate signals and spatially distributedhydroclimatic variables within certain spatial domains downscale the GCMs projectionsof the hydroclimatic variables using these significant modes of variation and using theresults to evaluate the rainfed wheat yield in the study area by the Decision SupportSystem for Agrotechnology Transfer DSSAT model Key Words Climate Change Principal Component Analysis Multichannel SingularSpectrum Analysis Spatio Temporal Variation Iran Rainfed Wheat DSSAT modelIntroductionHaving consistent information about the likelihood of drought occurrence in semi aridregions like west and northwestern Iran is one of the aims of hydrologic assessment forreliable water and agricultural management practices One way to accomplish this aim isthrough the analysis of how local precipitation and temperature relate to global quasi Associate Professor Department of Water Engineering College of Agriculture Isfahan University of Technology 84156 83111 Isfahan Iran Professor Department of Water Engineering College of Agriculture Isfahan University of Technology 84156 83111 Isfahan Iran Assistant Professor Department of Water Engineering College of Agriculture Isfahan University of Technology 84156 83111 Isfahan Iran Assistant Professor Department of Natural Resources Isfahan University of Technology 84156 83111 Isfahan Iran
استاد راهنما :
سعيد اسلاميان، جهانگير عابدي كوپايي
استاد مشاور :
مهدي قيصري،منيره فرامرزي
استاد داور :
فرهاد موسوي، سعيد سلطاني كوپايي، عليرضا سلطاني تودشكي
