The tenth IMSC, Beijing, China, 2007 - International Meetings on ...

more effective for prediction of barely yield. It is also found that the multivariate regression are
better than the univariate regression models.
Finally, all the obtained regression models were ranked based on statistical indexes(R,
RMSE and MBE). This study showed that the multivariate regression model including wind
speed, sunshine, temperature summation more than 10, precipitation and Nguyen index is the
best model for prediction yield production in Miane. Average wind speed and Nguyen index
were recognized to be the most effective parameters for yield production in the model.
<strong>The</strong> Evaluation of Climatic Factors that Effect Climate in Azarbayjan by Method of Principal
Component Analysis
Speaker: Majid Rezaei Banafsheh
Majid Rezaei Banafsheh
University of Tabriz
mrbanafsheh@yahoo.com
Zahedi, Majid
University of Tabriz
Jahanbakhsh, Saeid
University of Tabriz
Naderi, Zolikha
University of Piamnoor Meshkinshahr
<strong>The</strong> region studied here includes: Ardedil, east and west Azarbayjan provinces located in
the north west of Iran. In this research nineteen synoptic Stations with relative distribution have
been chosen. <strong>The</strong> data gathered Monthly during 1971 to 2005.
<strong>The</strong>se research is done by using principal component analysis (PCA) method an also
varieties such as wind speed, seasonal precipitation, relative humidity at 3, 9, 15 synoptic time
and average daily temperature and the highest, lowest daily average temperature and also the
average of dew point, and the maximum precipitation in the north west of Iran has been
discussed, in order to determine the effective varieties and principal component analysis (PCA)
on the climate of Azarbayjan. <strong>The</strong> effects of every chosen variety based on the importance and
choosing the places of every station show same factors. <strong>The</strong> conclusion of this research
includes the analysis of main factors in every stations and areas. In data analysis, drawing
diagrams and maps several software such as: ArcView, Minitab, SPSS, Arc info and Excel,
have been used.
Key words: precipitation, temperature, dew point, Relative humidity, Principal Component
Analysis, North West Azarbayjan.
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