Climatic Regionalization of the South and South-west of Iran bay use of Multivariate Statistical Methods with Regional Planning Approach
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Abstract:

In this research, climate regionalization of the south and south-west of Iran has been identified on the basis of multivariate statistical methods. For this purpose, we used 15 climatic variables in 30 meteorological stations. By performing interpolation of variables, a matrix was created in configuration R2669*15 that rows and columns, respectively, are included of space and variables. Factor analysis revealed that 3 factors such as precipitation, temperature and humidity are affected the climate of case study area. Precipitation data explains the maximum variance in diffraction pattern and weight along the Zagros Mountains. More than 30 percent of the data variance is explained by temperature and the highest weight is located in the low- height areas of the south-western slopes of Zagros Mountains. Finally, humidity explains10 percent of total variance and expands in the coastal areas. Finally, the cluster analysis method identified three distinct climatic zones. The climatic zones are included: 1. Hot and humid region (the Persian Gulf shores and the Khozestan province), 2.Hot and arid region (the south-east parts of study area) and 3.Cold and high rainfall region (the highlands of Zagros Mountains). In order to evaluate the results, discrimination analysis and difference tests are used. The results showed that more than 97 percent of group members have lain in the correct location.

Language:
Persian
Published:
Journal ofof Regional Planning, Volume:4 Issue: 15, 2014
Pages:
119 to 132
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