The present study employed a non-parametric test to assess changes in the time series of data. The MK test, developed by \citet{Mann_1945} and \citet{Boyer_1998}, has been extensively employed in studies detecting trends in hydrological variables due to its suitability for non-normally distributed and missing data \cite{Hirsch_1984}. The MK test null hypothesis (Hâ‚€) states, there is no monotonic trend in a sample series of data (Xi, i=1, 2..., n). Conversely, the alternate hypothesis (H1) suggests the presence of a trend. The initial step in the Mann-Kendall test for a time series involves calculating the statistic S using the following formula: