Using Markov Analysis to Study the Impact of Temperature in Bangladesh

  • Janardan Mahanta University of Chittagong
  • Soumen Kishor Nath University of Chittagong
  • Md. Haronur Rashid University of Chittagong
Keywords: Temperature, Markov Chain, Bangladesh

Abstract

In this paper has been studied the temperature trend in Bangladesh. Long-term changes of surface air temperature over Bangladesh have been studied using the available historical data collected by the Bangladesh meteorological Department (BMD). Daily temperature data is collected from BMD in Dhaka and Chittagong. Then month have been divided according to season and their descriptive statistics are computed. Maximum average temperature in pre-monsoon season and minimum average temperature in winter season have been shown in the paper. This study also reveals that temperature has increased over the time. Markov chain analysis has been applied for these data so as to find the stationary probability. After 26 and 13 days stationary probabilities in Dhaka and Chittagong stations respectively have observed.

Downloads

Download data is not yet available.

Author Biographies

Janardan Mahanta, University of Chittagong

Assistant Professor, Department of Statistics, University of Chittagong, Chittagong, BANGLADESH

Soumen Kishor Nath, University of Chittagong

Assistant Professor, Institute of Education and Research, University of Chittagong, Chittagong, BANGLADESH

Md. Haronur Rashid, University of Chittagong

Research Student, Department of Statistics, University of Chittagong, Chittagong, BANGLADESH

References

Anderson, T. W., & Goodman, L. A. (1957). Statistical inference about Markov chains. The Annals Mathematical Statistics , 89-110.

Chan, J. C. (2006). Comments on "Changes in tropical cyclone number, duration and intensity in a warming environment. Science , 311, 1713.

Feller, W. (1957). An Introduction to Probability Theory and Its Applications, vol.1, 2d ed., John Wiley & Sons, Inc., New York.

Medhi, J. (1984). Stochastic Process. New age international publishers.

Peterson, T. C., X.Zhang, M. B., & Aguirre, J. L. (2008). Changes in North American extremes derived from daily weather data. J. Geophys. Res , 113.

Rosenberg, S., Vedlitz, A., Cowman, D., & Zahran, S. (2010). Climate change: a profile of U.S. climate scientists perspective. Clim Chang , 101 (3-4), 663-668.

Sahney, S., Benton, M. J., & Ferry, P. (n.d.). "Link between global taxonomic diversity, ecological diversity and the expansion of vertebrates on land". Biology Letters .

Stern, N. (2007). The economics of climate change: The Stern review. Cambridge University Press, Cambridge.

Whittle, P. (1955). Some distribution and moment formulae for the Markov chain. Journal of Royal Statistical Society , 235-242.

-- 0 --

Published
2018-07-10