Open AccessApplication of Markov chain model in determining drought proneness
Author(s) -
N. N. Khambete,
Basudeb Biswas
Publication year - 1984
Publication title -
mausam
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.243
H-Index - 12
ISSN - 0252-9416
DOI - 10.54302/mausam.v35i3.2225
Subject(s) - markov chain , agriculture , monsoon , environmental science , index (typography) , dry land , mathematics , climatology , statistics , physical geography , geography , meteorology , agronomy , computer science , geology , biology , archaeology , world wide web
Rainfall distribution especially run of wet and dry spells will have dominating effect on the crop yield. Two state Markov chain model of order one has been used to evaluate sequences of dry and wet weeks during southwest monsoon period over dry farming tract of Maharashtra.
An index based on parameters of this model has been developed to bring out the degree of drought proneness. Following this index dry farming tract of Maharashtra has been delineated into five zones of different degree of drought proneness.