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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2021, Volume : 9, Issue : 1
First page : (378) Last page : (388)
Article doi: : http://dx.doi.org/10.18782/2582-2845.8555

Rainy Days Analysis by Using Statistical Methods for Valsad District of South Gujarat

Neeraj Kumar^1*, B.M. Mote², Alok Srivastava³ and A.L. Chalodia^4
1*Department of Agronomy, College of Agriculture,
³Department of Statistics College of Agriculture,
Navsari Agricultural University, Bharuch, 392 012, Gujarat, India
²Directorate of Research Office, Navsari Agricultural University, Navsari, 396 450, Gujarat, India
⁴Main Sorghum Research Station, Navsari Agricultural University, Surat, 390007, Gujarat, India
*Corresponding Author E-mail: neeraj34012@gmail.com
Received: 12.01.2021 | Revised: 18.02.2021 | Accepted: 24.02.2021 

 ABSTRACT

Monsoon season rainfall data of Valsad reveals that the normal distribution at 10, 20 and 30 % probability levels for the month of June, July, August and September shows the possibility of increasing rainy days occurrence. The valsad districts during post monsoon season rainfall of months of October and November reveals increasing tendency. The binomial distribution fit only those standard weeks in which rainfall is not equally distributed.  The frequency distribution is workout for monsoon (22 to 39 standard weeks) and post monsoon (40 to 47 standard weeks) seasons. However, Valsad district, standard week 22 to 39 of monsoon season and in post monsoon season 41, 42, 43 and 46 standard weeks shows significant result. On the basis of these finding the result reveals that during monsoon season favorable condition for agriculture crops was observed at Valsad districts.

Keywords: Rainy day analysis, Discrete probability, Gaussian distributions, Trend analysis.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Kumar, N., Mote, B. M., Srivastava, A., & Chalodia, A. L. (2021). Rainy Days Analysis by Using Statistical Methods for Valsad District of South Gujarat, Ind. J. Pure App. Biosci. 9(1), 378-388. doi: http://dx.doi.org/10.18782/2582-2845.8555