IDENTIFICATION OF RAINFALL PROBABILITY DISTRIBUTION FOR JUNAGADH

Abstract

Rainfall data of 30 years (1986-2015) was analysed to obtain its descriptive statistics i.e. the mean, standard deviation, coefficient of variation, skewness, kurtosis, maximum value, minimum value and range. Four months of monsoon (June to September) and 17 weeks of the monsoon season were selected for identifying its probability distribution for which three tests namely, Anderson test, Kolmogorov-Smirnov and chi-square tests were carried out. By using the parameters of the selected distribution, random numbers were generated and the best distribution was identified based on minimum deviation between actual and estimated values. Gamma distribution was found to be the best fit distribution for the seasonal rainfall data while for most weeks generalized extreme value distribution was found to be the best fit distribution.

Authors and Affiliations

D. K. DWIVEDI, G. R. SHARMA, D. V. PATEL

Keywords

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  • EP ID EP222854
  • DOI -
  • Views 127
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How To Cite

D. K. DWIVEDI, G. R. SHARMA, D. V. PATEL (2017). IDENTIFICATION OF RAINFALL PROBABILITY DISTRIBUTION FOR JUNAGADH. International Journal of Agricultural Science and Research (IJASR), 7(2), 521-528. https://europub.co.uk/articles/-A-222854