Author(s): P Durga Bhavani, D Ramesh, V Srinivasa Rao and M Sunil Kumar

Abstract: Rainfall analysis is one of the important components in hydrological processes for either using it as a random chance constrained input or for taking a risk at certain level for crop planning. Present study made an attempt to understand the rainfall scenario of Kadapa district, through use of descriptive statistics, trend analysis [Mann-Kendall (or Modified Mann-Kendall) test, Sen’s-slope method] and distribution of rainfall for monthly, seasonal and annual rainfall of during the period from 1985 to 2021. It was revealed that the October (116.26 mm) which ranges 11.31 mm to 394.74 mm, while the least average was observed in January (2.36 mm), which indicated that the months of January and October were the extreme precipitation months of the district. From the Mann-Kendall and Sen’s slope estimator, it was resulted that the probability value was found to be significant with increasing trend for June (1.24), September (2.14), South-West Monsoon (5.96) and Annual (11.68) rainfall series. Based on Goodness of fit criterion, Log-logistic (3P) and Pearson 5 (4P) was identified as appropriate distribution for South-West monsoon of Kadapa district and it was found that through Log-logistic (3P) distribution, probability of getting rainfall more than 100 mm, 200 mm, 300 mm, 400 mm and 500 mm were identified as 97.6%, 86.5%, 58.2%, 27.2% and 10.6% respectively.

Pages: 111-120 | Views: 142 | Downloads: 18

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