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Discrete Dynamics in Nature and Society
Volume 5 (2000), Issue 1, Pages 1-7
http://dx.doi.org/10.1155/S1026022600000339

A rainfall simulation model for agricultural development in Bangladesh

Department of Statistics, Rajshahi University, Rajshahi 6205, Bangladesh

Received 25 May 1999

Copyright © 2000 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A rainfall simulation model based on a first-order Markov chain has been developed to simulate the annual variation in rainfall amount that is observed in Bangladesh. The model has been tested in the Barind Tract of Bangladesh. Few significant differences were found between the actual and simulated seasonal, annual and average monthly. The distribution of number of success is asymptotic normal distribution. When actual and simulated daily rainfall data were used to drive a crop simulation model, there was no significant difference of rice yield response. The results suggest that the rainfall simulation model perform adequately for many applications.