Open AccessUsing Markov Analysis to Study the Impact of Temperature in Bangladesh
Author(s) -
Janardan Mahanta,
Soumen Kishor Nath,
Md. Haronur Rashid
Publication year - 2019
Publication title -
asia pacific journal of energy and environment
Language(s) - English
Resource type - Journals
eISSN - 2312-282X
pISSN - 2312-2005
DOI - 10.18034/apjee.v6i2.267
Subject(s) - markov chain , winter season , maximum temperature , monsoon , descriptive statistics , statistics , environmental science , air temperature , geography , climatology , mathematics , meteorology , geology
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.