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Research Article Open access CC BY 4.0

Analysis of Rainfall Probabilities and Crop Planning for Different Districts of Chhattisgarh

Twinkle Sahu, J. L. Chaudhary, Khilesh Kumar Sahu

International Journal of Environment and Climate Change · pp. 858–862 · Published 7 Jun 2022

10.9734/ijecc/2022/v12i1030873

Abstract

Rainfall data of 17 districts in Chhattisgarh state has been used to determine the quantity of rainfall at different probability levels through incomplete gamma distribution.  Bastar has the highest total annual rainfall, with 1090.0 mm, 1247.5 mm, and 1440.0 mm, respectively, at 90 percent, 75 percent, and 50 percent likelihood levels. Sukma district has the highest total annual rainfall with 1696.6 mm and 1955.3 mm at the 25% and 10% probability levels, respectively. At 90 percent and 75 percent probability levels, Bilaspur district has the lowest total annual rainfall of 300.8 mm and 542.8 mm, respectively. Kabirdham district has the lowest total annual rainfall at 50%, 25%, and 10% likelihood levels, with 983.1 mm, 1126.4 mm, and 1267.0 mm, respectively. Sukma district has the most rainfall (1466.6 mm) while Kabirdham district has the least (996.1 mm). Crop planning strategies have been designed in several districts of C.G. based on probability analysis. Potential crops are found by examining the appropriate agro-ecosystem, and suitable recommended types for production in various places are indicated. Only the inclusion of maize and sugarcane crops in cropping systems is being criticized.

Probability rainfall incomplete gamma distribution crop planning

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