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Vol. 11, Special Issue 11 (2022)

Assessment of rainfall probabilities for crop planning in Balod district of Chhattisgarh

Author(s):
Shweta Kujur, JL Chaudhary and Deepika Unjan
Abstract:
In the present study, assessment of rainfall probabilities was carried out on weekly basis of 30 years daily rainfall data for the period 1989-2019. The observed values were computed by using Markov chain model. The initial probability of occurrence of wet weeks was higher during SMWs 28th to 35th. The range of probability of wet week varied from 61.3% to 71.0%. The conditional probability of occurrence of wet week preceded by wet weeks was higher during SMWs 27th to 36th. The range of probability of wet week varied from 50.0% to 79.0%. The probability of occurrence of two and three consecutive wet weeks was higher during SMWs 28th to 33rd. The range of probability of wet week varied from 22.0% to 33.1%. Results showed that the 24th to 26th SMW should be used for field preparation and kharif crop sowing. Dryland crop planting in the rabi season may be finished between the 40th and 42nd SMW as the further weeks have a less probability of receiving enough rainfall.
Pages: 1787-1789  |  154 Views  61 Downloads
How to cite this article:
Shweta Kujur, JL Chaudhary and Deepika Unjan. Assessment of rainfall probabilities for crop planning in Balod district of Chhattisgarh. The Pharma Innovation Journal. 2022; 11(11S): 1787-1789.

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