Statistical research on rainfall and river discharge patterns over time from a hydrological perspective

Abstract

Climate signals are the indicators of climate change evidence in a particular region or area, which can be witnessed through an erratic rainfall pattern showing less variability than usual which simultaneously affects the hydrological cycle of water systems in major. The behaviour of any weather pattern can be visualized by statistical analysis in combination with trend patterns. This study was made to draw the rainfall and river discharge variability of the Thamirabarani River, Tamilnadu, India through statistical analogy. The trend analysis was carried out by non-parametric Mann-Kendall, Spearman’s Rho and Linear Regression Test for ten Rain Gauge stations and one Stream Gauge station from 1980 to 2018 (39 years). The results were interpreted for annual and seasonal patterns where seasonal includes South-west monsoon, North-east monsoon, Winter and Summer periods respectively. This statistical analysis of weather parameters is a preliminary investigation for further research, through hydrological simulations, predictions and scenarios a better management and planning of water resources can be achieved in the Thamirabarani River basin, Tamilnadu, India.