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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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Original Research Articles

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 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(10): 1325-1337
DOI: https://doi.org/10.20546/ijcmas.2019.810.155


Use of Different Probability Distribution in Rainfall Analysis for RRS, Pundiari, Cooch Behar
Rakesh Kumar Meena, Sharda Dubey* and S. Basak
U.B.K.V. North Bengal, Pundibari, Cooch Behar, India
*Corresponding author
Abstract:

The daily rainfall data of 21 years were collected from the IMD approved Meteorological Observatory situated at Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar, India. The data were then processed to identify the maximum rainfall received on any one day (24 hrs duration), in any week (7 days), in a month (4 weeks), in a monsoon season (4 months) and in a year (365 days period). The data showed that the annual daily maximum rainfall received at any time ranged between 134.5 (minimum) to 694.6 mm (Maximum) indicating a very large range of fluctuation during the period of study. The rainfall data were analysed to identify the best fit probability distribution for each period of study and the trend has been presented in this study. Three statistical goodness of fit test were carried out in order to select the best fit probability distribution on the basis of lowest rank with minimum value of test statistic. Five probability distribution was identified using maximum overall score based on sum of individual point score obtained from three selected goodness of fit test. The weibull and gamma distribution were best fitted distribution in the terai region. For entire period of study, gamma distribution was best fitted distribution in this region. Gamma distribution was observed in most of the weekly period as best fit probability distribution. The best fit probability distribution of monthly data was found to be different for each month. The scientific results clearly established that the analytical procedure devised and tested in this study may be suitably applied for the identification of the best fit probability distribution of weather parameters.


Keywords: Peak rainfall, Probability distributions, Goodness-of-fit tests
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How to cite this article:

Rakesh Kumar Meena, Sharda Dubey and Basak, S. 2019. Use of Different Probability Distribution in Rainfall Analysis for RRS, Pundiari, Cooch Behar.Int.J.Curr.Microbiol.App.Sci. 8(10): 1325-1337. doi: https://doi.org/10.20546/ijcmas.2019.810.155