Probability analysis for the estimation of one day annual maximum rainfall from the period 2001-2020 of Meerut city (India)

The rainfall data of 20 years (2001-2020) were collected from India Meteorological department, Pune. In this study, the rainfall data were analyzed for the prediction of one -day annual maximum rainfall of Meerut City by various probability distributions namely Gumbel, Ven Te Chow, Log- Pearson type-III and Log Normal had been used to determine the best probability curve using Integral Square Error (ISE). This study revealed that the Gumbel distribution was the best fit probability distribution for one -day annual maximum rainfall and Log-Pearson type-III was the second best fit for the prediction of one- day annual maximum rainfall. The result of this study would be useful for design soil and water conservation structures, irrigation, drainage system and their managements and agriculture development.