Markov chain model probability of dry, wet of rainy wet weeks during moonson period over Andhra Pradesh

Authors

  • N. PANDHARINATH

DOI:

https://doi.org/10.54302/mausam.v42i4.3274

Keywords:

Markov chain model, Dry and wet periods, Monsoon, Correlation probability

Abstract

For agricultural planning, it is important to know the sequence of dry, wet periods. For this purpose a week period may be taken as the optimum length of time. The success or failure of crops particularly under rainfed conditions is closely linked with the rainfall patterns. In this study the Markov chain model method has been applied to know the probability of having a dry or a wet week and consecutive dry or wet periods of 2 or 3 weeks during monsoon period over Andhra Pradesh.

 

 

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Published

01-10-1991

How to Cite

[1]
N. . PANDHARINATH, “Markov chain model probability of dry, wet of rainy wet weeks during moonson period over Andhra Pradesh”, MAUSAM, vol. 42, no. 4, pp. 393–400, Oct. 1991.

Issue

Vol. 42 No. 4 (1991): Mausam

Section

Shorter Contribution

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