Comparative of Statistical and Graphical Methods in Trend Analysis of Meteorological Parameters: a Case Study: Isparta Province, Turkey

Abstract

The effects of climate change are felt more and more every day, both on a global and regional scale. Evaluating the possible effects of climate change is of great importance in order to eliminate its potential negative effects. Therefore, it is very important to determine the effects of climate change on hydro-meteorological parameters. In this study, annual scale temporal changes of hydro-meteorologi cal parameters (precipitation, average relative humidity, average wind speed, average temperature and average vapor pressure) recorded in the Isparta Province meteorology station in the Antalya Basin in the period 1960-2019 were investigated. Three non-parametric methods, both graphical (Şen Innova tive Trend Analysis (Şen-ITA), Combination of Wilcoxon Test and Scatter Diagram (CWTSD)) and statistical (Mann-Kendall-MK) were used in trend analysis. The results obtained for the three methods used are consistent with each other. In the study, in which comments were made at the 0.05 significance level, significant negative trends in wind speed and significant positive trends in temperature and vapor pressure were obtained as a result of the analysis. Although there are no significant trends at the 0.05 sig nificance level in the other two parameters, there is a tendency to decrease in precipitation and increase in relative humidity in the examined period.