Trend and Variability Analysis, and Forecasting of Maximum Temperature in Bangladesh

Authors

  • JA Syeda Department of Statistics, Hajee Mohammad Danesh Science and Technology University Dinajpur

DOI:

https://doi.org/10.3329/jesnr.v5i2.14803

Keywords:

Forecasting Trend Analysis, Temperature

Abstract

An attempt is made to investigate the trend and variability for annual and seasonal (Three crop seasons) average maximum temperature (AMXT) for six divisional stations of Bangladesh: Dhaka, Rajshahi, Khulna, Barisal, Sylhet and Chittagong. The monthly AMXT (2009-2012) are forecasted applying univariate Box-Jenkins ARIMA (autoregressive integrated moving average) modeling techniques. The growth rates of annual AMXT are found positive in all the stations except Rajshahi (negative) while the rates of their coefficient of variations (CVs) are negative in all the stations except Khulna (negative). The rates of AMXT are positive during Kharif season but negative in Prekharif and Rabi seasons for Rajshahi and Khulna, positive during Kharif and Rabi season but negative in Prekharif season for Dhaka and Barisal and positive in all the three seasons for Sylhet and Chittagong. The findings support that the climate of this country is channging in terms of maximum temperature and this may have adverse effects on its agriculture.

DOI: http://dx.doi.org/10.3329/jesnr.v5i2.14803

J. Environ. Sci. & Natural Resources, 5(2): 119-128 2012

Downloads

Download data is not yet available.
Abstract
724
PDF
1165

Downloads

Published

2013-04-29

How to Cite

Syeda, J. (2013). Trend and Variability Analysis, and Forecasting of Maximum Temperature in Bangladesh. Journal of Environmental Science and Natural Resources, 5(2), 119–128. https://doi.org/10.3329/jesnr.v5i2.14803

Issue

Section

Articles