پديد آورنده :
عبدالحسيني، محمد
عنوان :
كاربرد كوپلا در تحليل فراواني چند متغيره ي جريان هاي كم و ارزيابي رگرسيون كوپلايي به منظور استفاده در تحليل متغيرهاي غير مستقل
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي
صفحه شمار :
نوزده، 232ص.: مصور، جدول، نمودار ﴿رنگي﴾
يادداشت :
ص. ع. به فارسي و انگليسي
استاد راهنما :
سعيد اسلاميان، فرهاد موسوي
استاد مشاور :
محمدرضا آشوري، سالاتوره گريمالدي
توصيفگر ها :
خشكسالي هيدرولوژيك , وابستگي
تاريخ نمايه سازي :
28/11/91
استاد داور :
منوچهر حيدرپور، سعيد سلطاني كوپايي، حسن طباطبائي
تاريخ ورود اطلاعات :
1396/02/30
كد ايرانداك :
ID482 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Application of Coupla in Multivariate Frequency Analysis of Low Flows and Assessment of Copula Based Regression for Analysis of Non Independent Variables Mohammad Abdolhosseini abdolhosseini@gau ac ir Date of Submission December 27 2012 Department of Water Engineering College of Agriculture Isfahan University of Technology Isfahan 84156 83111 Iran Dr S S Eslamian1 Supervisor saeid@cc iut ac ir Dr S F Mousavi2 Supervisor mousavi@cc iut ac ir Dr M R Ashouri3 Advisor ashouri@cc iut ac ir Dr S Grimaldi4 Advisor salvatore grimaldi@unitus it College Graduate Coordinator Dr M M Majidi Abstract Frequency analysis of low flow has specific application in planning of water supply systems and determination of minimum available flow As low flows are characterized by several non independent futures univariate frequency analysis is usually not appropriat Copulas have high capability in analysis of extreme events and modeling of dependence structures In this study using copula functions from Archimedean and meta Elliptical families the optimal procedure in copula application were presented In addition it was tried to decrease the difficulty of calculating return periods and design quantiles in a multivariate framework Some case studies involving low flow events in 5 selected hydrometry stations from Caspian Sea watershed were used to illustrate the new concepts outlined in this work The results indicated the performance of meta Elliptical copulas for representation of dependence structures of low flow variables In the second part of the study using wood volume V diameter D and total height H data collected from 1 386 beech trees in Italy copula regression were compared with four benchmark regression models for computing V given the values of D and H The copula based model with parametric marginals is definitely outperformed by its competitors whereas the copula based model with nonparametric marginals provides quite accurate point estimates but biased interval estimates of V Keywords Copula Multivariate frequency analysis Low flow Hydrological drought Copula based regression Dependence 1 Associate Professor Department of Water Engineering College of Agriculture Isfahan University of Technology Isfahan 84156 83111 Iran 2 Professor Department of Water Engineering College of Agriculture Isfahan University of Technology Isfahan 84156 83111 Iran 3 Assistant Professor Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran 4 Associate Professor Dipartimento GEMINI Universit degli studi della Tuscia Via San Camillo de Lellis Viterbo 01100 Italy
استاد راهنما :
سعيد اسلاميان، فرهاد موسوي
استاد مشاور :
محمدرضا آشوري، سالاتوره گريمالدي
استاد داور :
منوچهر حيدرپور، سعيد سلطاني كوپايي، حسن طباطبائي
