Trend Analysis of Some Meteorological Data in Antalya

The effects of climate change in the world are observed to have significant effects on different environmental variables. Therefore, changes in climate parameters should be examined and analyzed. These changes can be determined by parametric and non-parametric tests. In this study, monthly average precipitation, temperature, humidity and evaporation data between 1965- 2017 for the meteorological station of Antalya city were used. Linear Regression, Mann-Kendall, Sen and Sen’s T test methods were used for trend analysis. It is aimed to determine annual and monthly trends in the data. According to the results of the Mann-Kendall and Sen test, there was a tendency to decrease in annual humidity, increase in temperature data and decrease in precipitation data. But, trend has not been observed in annual evaporation data. In the monthly evaporation evaluoations showed a decreasing tendency only in January. Monthly humidity showed a tendency to decrease in February, March, April, October, November and December. In the monthly temperature evaluations, an increase tendency was determined in all months except January. In monthly precipitation evaluations, a decreasing tendency was determined in February and December. According to the results of the Sen’s T test, there was a tendency to decrease in monthly humidity and evaporation, increase in temperature data.