Abstract

Due to the changing climate and other factors, such as land-use changes, urbanization, industrialization, deforestation, and developmental activities, the bearing influence is observed in the hydrologic cycle and in the frequency and magnitude of hydrological extremes. For sustainable development, it is essential to investigate the trend of extreme event occurrences. In this study, the trend of the annual and seasonal daily rainfall in various categories for time series 1965 to 2016 has been examined in the Sabarmati River Basin in India through the nonparametric Mann-Kendall test with Sen’s slope estimator. The spatiotemporal trend distributions of annual and seasonal daily rainfall in various categories have been represented in ArcGis. The annual daily rainfall has shown a positive trend in the heavy to very heavy category. In the months of July and September, the positive trend in daily rainfall in the heavy to very heavy category indicates the tendency of extreme rainfall event occurrences.