The effect of climate change due to global warming on hydrometeorological data: A case study in some provinces in the Tigris Sub-Basin

Hydrological and meteorological variables in the life cycle of the Earth are affected by climate change, and as time passes, the effect of climate change on these variables is increasing in a negative way. It is of great importance to determine the trends of hydrometeorological data for future forecasts, analyses, implementation and measures. In this study, with the non-parametric Mann-Kendall, Spearman's Rho test and Innovative Şen method, for the meteorological parameters of some provinces in the Tigris Sub-Basin and the flow parameters of 7 AGI's on the tributaries of the Tigris River in this sub-basin; In order to observe the changes due to global warming, it is aimed to determine the presence of trend in hydrological and meteorological parameters and to compare these methods with each other. Considering the precipitation and temperature parameters; While no trend was detected at all MGI stations with the Mann-Kendall and Spearman's Rho method, a certain trend was detected at all stations with the ITA method. For the evaporation parameter, no trend was detected with the Mann Kendall method, while a trend was detected at Batman, Diyarbakır and Mardin stations with the Spearman's Rho method, and a certain trend was detected at all stations with the Innovative Şen method. For the Relative Humidity parameter, a trend was detected only in Mardin and Siirt stations with Mann-Kendall and Spearman's Rho method, while a certain trend was detected in all stations with the Innovative Şen method. Looking at the flow parameter; While trends were detected in only two AGIs with the Mann-Kendall and Spearman's Rho method, a trend was detected in all AGIs with the Innovative Şen method. While the presence of a trend was not detected with the Mann-Kendall and Spearman's Rho method in the station data used in the thesis, it was determined that the ITA method revealed more meaningful and sensitive trend results.