7680

7152

كارشناسي ارشد

آبياري و زهكشي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي

1391

نه،148ص.: مصور،جدول

ص.ع.به فارسي و انگليسي

سيد اسلاميان، فرهاد موسوي

آزاده احمدي، حسين سقائيان نژاد

10/2/92

جهانگير عابدي كوپائي، علي يوسفي

مهندسي كشاورزي

ID7152

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

Investigating indices and variations of drought in Iran using ocean oscillation indices Elnaz Mokhtari Date of Submission January 2013 Department of Water Engineering College of Agriculture Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisors Saeid Eslamian Saeid@cc iut ac ir Farhad Mousavi Mousavi@cc iut ac ir Abstract Drought has been perpetually noteworthy for researchers due to its significant consequences Study of Drought trend and its relation with the other atmospheric phenomena and consequently drought prediction using indices play a key role in water resources planning and management This research has been studied the relationship between ocean oscillation indices NAO and SOI and such drought indices as RDI and SPI in Iran In this regard based on whether the data series follows normal distribution or not correlation between these indices has been tested using non parametric test Pearson and Spearman Results indicate RDI and NAO in Babolsar Bandarabbas Birjand and Khoramabad are correlated In addition the hypothesis of existing correlation relationship between RDI and SOI of Bam Bandarabbas Birjand Orumiye Shahroud Mashhad Sabzevar Shahrekord and Tehran is significant SPI and NAO in Babolsar and Rasht are correlated Veracity of hypothesis of correlation relationship between SPI and SOI in Shahroud Mashhad Sabzevar Shahrekord and Tehran were confirmed Generally stations located the north of the country show the highest correlation coefficient due to various plausible reasons such as neighborhood to Caspian Sea and consequently effect of ocean oscillation on precipitation pattern and drought In contrast at southern part of the country except Bandarabbas despite of their closeness to Persian Gulf show no correlation between the indices This can verify this hypothesis that drought pattern in this region may be correlated with other ocean oscillation indices All in All none of the correlation coefficient between the indices was considerable The highest one observed in Tehran Station and it was equal to 0 154 between RDI and SOI Thereupon developing a model to predict drought using these indices is not suggested Keywords Ocean Oscillation Index Drought Index SOI NAO SPI RDI

سيد اسلاميان، فرهاد موسوي

آزاده احمدي، حسين سقائيان نژاد

جهانگير عابدي كوپائي، علي يوسفي