(Water Resource Management), School of Natural Resource Management, College of post Graduate Studies, (Central Agricultural University), Umiam, Barapani-793103, Meghalaya. E-mail: lalaiswariprasadray@yahoo.co.in
Online published on 27 June, 2012.
Annual daily rainfall data for 28 years (1983–2010) of Barapani, Meghalaya has been collected and frequency analysis of maximum daily rainfall has been attempted. The annual maximum daily rainfall data has been fitted to five different probability distribution functions i.e. Normal, Log-normal, Pearson Type-III, Log Pearson Type-III and Gumbel Type-I extreme. The probable rainfall value for different return periods has been estimated. These estimated values have been compared with the values obtained by Weibull’s Method. The analysis indicates that, the Gumbel distribution gives the closet fit to the observed data. Therefore this distribution may be used to predict maximum rainfall, which will be a great importance for economic planning and design of small and medium hydraulic structures.
Frequency analysis, Maximum daily rainfall, Rainfall and rainfall analysis
