Data/hora: 11/06/2024 15:28:22

Provedor de dados: 	111	
País: 	China	
Título: 	Dry and wet spell probability analysis by Markov chain model for  Kohima     ( Nagaland), India	
Autores: 	DABRAL, PARMENDRA PRASAD.	
Data: 	2019-12-16	
Ano: 	2019	
Palavras-chave: 	Land and water Management Engg. Dry and wet spell probability; Markov chain model; Kohima (Nagaland).	
Resumo: 	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 per cent. There is 22.22 to 50 per cent probability that two consecutive dry weeks would occur from week numbers 1 to 13, 15, 41 and 43 to 52.  The probability of occurrence of three consecutive dry weeks was found very low varying from 0 to 16.67 per cent in most of the weeks.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.cigrjournal.org/index.php/Ejounral/article/view/5469	
Editor: 	International Commission of Agricultural and Biosystems Engineering	
Relação: 	http://www.cigrjournal.org/index.php/Ejounral/article/view/5469/3165	
Formato: 	application/pdf	
Fonte: 	Agricultural Engineering International: CIGR Journal; Vol 21, No 4 (2019): CIGR Journal; 43-47

1682-1130	
Fonte: 	Copyright (c) 2019 Agricultural Engineering International: CIGR Journal