National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Rainfall plays an important role in agricultural production system. Studying the rainfall distribution through the statistical models is also essential in agricultural field. In this paper, an attempt has been made to show the pattern of rainfall in TNAU1 Station Coimbatore through the Statistical distributions. In the study, the different statistical distributions are fitted for seasonal rainfall data and the best fit is determined. The historical rainfall data were collected for 34 years (1982 -2015) from the Meteorological Observatory AC & RI Coimbatore. The statistical distributions like Normal, Log-normal, Weibull, Gamma, Logistic, Exponential and Generalized Extreme value (GEV) are used for three different seasons such as Kharif, Rabi and summer. For Parameter estimation the Method of Maximum Likelihood are used here. The Comparisons of best distributions by goodness of fit-tests such as Kolmogorov–Smirnov, Anderson Darling test and Chi square test are also made in this paper. The trend test such as Mann Kendall trend test and Sen’s slope estimation were performed for studying the rainfall pattern. The Maximum rainfall occurred in the Rabi season with 9.028 (mm) and minimum rainfall in the summer with 0.371 (mm).
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