Analysis of rainfall variability using precipitation concentration index (PCI): A case study of Dapoli station

Precipitation is an essential climatic variable, because changes in intensity and amount affect the occurrence of hydrological hazards such as floods and drought. So far managing the rainfall variability analysis play a vital role using Precipitation Concentration Index (PCI) which accurately predicts rainfall patterns, floods, and droughts across regions. The purpose of this study is to assess the concentration and variability of rainfall over time using the Precipitation Concentration Index (PCI), which is based on monthly rainfall data of a 34-year period (1990-2023). The PCI was computed at the annual, seasonal, and decadal levels using annual and seasonal equations. According to the statistics, the yearly PCI index for all 34 years exceeded 20. So, strong irregularity of precipitation distribution found 100%. In last 34 years, nearly 20 years (58.73%) had uniform precipitation distribution, followed by 14 years (41.17%) that moderate precipitation distribution. PCI can thus be used as a warning system for flooding and erosion.