Application of Markov chain model in determining drought proneness

Authors

  • N. N. KHAMBETE Agricultural Meteorology Division, Meteorological Office, Pune
  • B. C. BISWAS Agricultural Meteorology Division, Meteorological Office, Pune

DOI:

https://doi.org/10.54302/mausam.v35i3.2225

Abstract

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.

Downloads

Published

01-07-1984

How to Cite

[1]
N. N. KHAMBETE and B. C. BISWAS, “Application of Markov chain model in determining drought proneness”, MAUSAM, vol. 35, no. 3, pp. 407–410, Jul. 1984.

Issue

Vol. 35 No. 3 (1984): MAUSAM

Section

Research Papers

License

Copyright (c) 2021 MAUSAM

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

All articles published by MAUSAM are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.

Anyone is free:

  • To Share - to copy, distribute and transmit the work
  • To Remix - to adapt the work.

Under the following conditions:

  • Share - copy and redistribute the material in any medium or format
  • Adapt - remix, transform, and build upon the material for any purpose, even
    commercially.