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Dry and wet spell probability analysis by Markov chain model for Kohima ( Nagaland), India CIGR Journal
DABRAL, PARMENDRA PRASAD.
For the purpose of crop planning and to carryout the agricultural practices it is important to know the sequence of dry and wet periods. The present study was undertaken with the objectives to forecast dry and wet spell analysis using Markov Chain Model for Kohima                 ( Nagaland).The results indicated that probability of occurrence of dry week is higher from week no. 1 to 16 and also from week numbers. 41 to 52. The range of probability of occurrence of dry week in these weeks varies from 55.56 to 100 per cent. The probability of occurrence of dry week preceded by another dry week is higher in week no.1 to 13,15 , 41, 43-52. The range of probability occurrence of dry week preceded by another dry week in these weeks is ranging from 36.36 to 50...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Land and water Management Engg. Dry and wet spell probability; Markov chain model; Kohima (Nagaland).
Ano: 2019 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/5469
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