Scientific- Research Quarterly of Geographical Data (SEPEHR)

Scientific- Research Quarterly of Geographical Data (SEPEHR)

Check temperature time series in order to detect the change process

Document Type : Research Paper

Authors
Zohreh Maryanaji 1
Hossein Karimi Javid 2
Yusof Sheykholmoluki 2
1 Isfahan University
2 Hamedan
Abstract
In the present article, Isfahan annual temperature parameters were analyzed to determine long-term time trend and its potential changes in 1976 to 2005 time period. To do so, any of the temperature data series received from the five weather stations (Isfahan, East Isfahan, Kashan, Kabutar Abad, Khor) were investigated based on Mann-Kendall statistical tests and normal residuals cumulative curve. Based on the non-parametric Mann-Kendall method, maximum temperature in Kabutar Abad and Khor stations had increased significantly, while other stations lack a trend. Minimum annual changes also shows a relative increase in eastern stations and average temperature in East Isfahan and Kabutar abad stations have an increasing trend. Normal residuals cumulative curve which divide data into two domains has similar results. According to this method, temperature in kabutar Abad and East Isfahan stations have increased significantly. The results which indicate temperature increase in most provincial stations (especially central ones) can be applied to zoning and predicting future droughts along with planning and managing water resources in the area.
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