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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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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 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
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 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(2): 2972-2980
DOI: https://doi.org/10.20546/ijcmas.2020.902.339


Exploring Different Probability Distributions for Rainfall Data of Kodagu - An Assisting Approach for Food Security
R. Shreyas1*, D. Punith1, L. Bhagirathi2, Anantha Krishnaand G. M. Devagiri4
1UAHS (Shivamogga), College of Forestry,Ponnampet, Karnataka-571216, India
2Department of Basic Sciences, College of Forestry, Ponnampet, Karnataka-571216, India
3Department of Computer Science, College of Forestry, Ponnampet, Karnataka-571216, India
4Department of Natural Resource Management, College of Forestry, Ponnampet, Karnataka-571216, India
*Corresponding author
Abstract:

Rainfall intensity, duration and its distribution play a major role in the growth of agriculture and other related sectors and the overall development of a country. The present study is carried out to know the best fitting probability distribution for rainfall data in three different taluks of Kodagu District. The time series data of average monthly and annual rainfall over a period of 61 years (1958-2018) was collected from KSNDMC, Bangalore. Around 26 different probability distributions were used to evaluate the best fit for annual and seasonal rainfall data. Kolmogorov-Smirnov, Anderson Darling and Chi-squared tests were used for the goodness of fit test. The best fitting distribution was identified by maximum score which is a sum of ranks given by three selected goodness of fit test for the distributions which is again based on fitting distance. Among various distributions attempted- Log Logistic (3P), Dagum, Gamma (3P), Inverse Gaussian, Generalized Gamma, Pearson Type 5 (3P) and Pearson 6 were found to be the best fit for annual and seasonal rainfall for different taluks of Kodagu district.


Keywords: Rainfall, probability distributions, fitting, goodness-of-fit
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How to cite this article:

Shreyas. R, D. Punith, L. Bhagirathi, Anantha Krishna and Devagiri. G. M. 2020. Exploring Different Probability Distributions for Rainfall Data of Kodagu - An Assisting Approach for Food Security.Int.J.Curr.Microbiol.App.Sci. 9(2): 2972-2980. doi: https://doi.org/10.20546/ijcmas.2020.902.339