Impacts of Climate Change on the Statistical Trends of Monthly and Annual Flood Discharges in the Kashafrood River Basin Iran

The planet's climate has lost its balance in recent decades, so the issue of climate change has attracted much attention In the study of climate change, long-term statistics can show changes to a large extent. The purpose of this study was to investigate the statistical trend of monthly and annual series, flood discharge of Kashafrood river basin . Therefore, the statistical data of the last 65 years related to the monthly and annual series of the station were examined. Mann-Kendall test was used to check whether it was random or non-random, for the trend, type and time of change, which was observed in 5 months of the year increasing trend and in 7 months of sudden jump. Linear regression method was used for correlation of dependent and independent variables, which in most months, moderate or weak correlation was observed. Mann-Whitney and Kruskal-Wallis tests were used to evaluate the significance of jump points, which were significant in most months except November and June.