عنوان مقاله English
نویسندگان English
Climate change and temperature increase are of the important environmental issues for human. The temperature changes can help to monitor the climate change in a region. The researches done in all over the world show the gradual increase of the mean temperature. The observation of 8 synoptic stations in the statistical period of 1954-2014 were used to recognize the temporal changes of temperature extremes (minimum, maximum, and average) in southern provinces of Iran including Khouzestan, Hormozgan, Boushehr, and Sistan & Balouchestan. Liner regression and also non-parametric statistical method of Man-Kendal due to the non-linearity of climatic components were used to do the research. Statistical significance of two methods is nearly same. Based on the results, minimum, maximum, and average of temperature components have had a positive trend in the common statistical period in most of the cities, namely the temperature has increased and it only had a negative trend in most of the cases in Iranshahr city. Graphical test of Man-Kendal showed that all of the changes are in a positive direction and sometimes there is a sudden change into a decreasing direction.
کلیدواژهها English