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Research Article Open access CC BY 4.0

Rainfall Probability Analysis for Crop Planning of Unakoti and West Tripura District of Tripura, India

Somnath Ganchaudhuri, Kushal Sarmah, Lagnajeet Roy, Jyotishman Goswami

International Journal of Environment and Climate Change · pp. 2520–2529 · Published 15 Sep 2022

10.9734/ijecc/2022/v12i1131245

Abstract

Rainfall is one of the most important climatic variables that determine the spatial and temporal patterns of climate variability of a region, which provides useful information for the planning of agricultural production. For the purpose of crop planning, rainfall data of two districts of Tripura viz., Unakoti and West Tripura for aperiod of 20 years (2001-2020) were collected and used to analyze probability of weekly rainfall. The incomplete Gamma distribution probability analysis using the method suggested by Victor (2000) was used to find and analyze weekly rainfall probability for the studied districts. The investigation revealed that total annual rainfall of Unakoti at 90%, 75% and 50% probability is predicted to be 1640 mm, 1686 mm and 1722 mm respectively. The total annual rainfall of the West Tripura at 90%, 75% and 50% probability is likely to be 1631 mm, 1847 mm and 2108.4 mm respectively. Crops found suitable for kharif season are blackgram, greengram, aman rice. The crops which can be grown in rabi season include cole crops, tomato, chilli, potato, pea, toria etc. Based on the study, crops suited to summer season include short duration greengram, aush rice, sesame, jute in all land situations.

Rainfall probability gamma distribution crop planning cropping pattern

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