International Journal of Environmental Monitoring and Analysis
Volume 1, Issue 5, October 2013, Pages: 175-181
Received: Jul. 22, 2013;
Published: Sep. 10, 2013
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Mst. Noorunnahar, Research Student, I.S.R.T., University of Dhaka, Dhaka -1000, Bangladesh
Md. Arafat Rahman, Research Student, I.S.R.T., University of Dhaka, Dhaka -1000, Bangladesh
This study aims to determine trends in the long-term monthly total data series using non-parametric methods like Mann-Kendall and Sen's T test. The change per unit time in a time series having a linear trend is estimated by applying a simple non-parametric procedure, namely Sen's estimator of slope. Serial correlation structure in the data is accounted for determining the significance level of the results of the Mann-Kendall test. The data used in this study, consists of seven divisional meteorological stations across Bangladesh. Station basis trend analysis has been performed for temperature data. For temperature data most of the stations show significant trend. There are rising rates of temperature in some months and decreasing trend in some other months obtained by these statistical tests suggesting overall significant changes in the area.
Md. Arafat Rahman,
Estimating Regional Trends of Temperature in Bangladesh, International Journal of Environmental Monitoring and Analysis.
Vol. 1, No. 5,
2013, pp. 175-181.
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