Estimating Regional Trends of Temperature in Bangladesh

Mst. Noorunnahar; Md. Arafat Rahman

doi:doi:10.11648/j.ijema.20130105.12

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Estimating Regional Trends of Temperature in Bangladesh

Mst. Noorunnahar, Md. Arafat Rahman

Published in International Journal of Environmental Monitoring and Analysis (Volume 1, Issue 5)

Received: 22 July 2013 Published: 10 September 2013

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Abstract

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.

Published in	International Journal of Environmental Monitoring and Analysis (Volume 1, Issue 5)
DOI	10.11648/j.ijema.20130105.12
Page(s)	175-181
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

Temperature, Mann-Kendall, Sen's T, Trend Analysis, Serial Correlation

References

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APA Style

Mst. Noorunnahar, Md. Arafat Rahman. (2013). Estimating Regional Trends of Temperature in Bangladesh. International Journal of Environmental Monitoring and Analysis, 1(5), 175-181. https://doi.org/10.11648/j.ijema.20130105.12

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ACS Style

Mst. Noorunnahar; Md. Arafat Rahman. Estimating Regional Trends of Temperature in Bangladesh. Int. J. Environ. Monit. Anal. 2013, 1(5), 175-181. doi: 10.11648/j.ijema.20130105.12

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AMA Style

Mst. Noorunnahar, Md. Arafat Rahman. Estimating Regional Trends of Temperature in Bangladesh. Int J Environ Monit Anal. 2013;1(5):175-181. doi: 10.11648/j.ijema.20130105.12

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@article{10.11648/j.ijema.20130105.12,
  author = {Mst. Noorunnahar and Md. Arafat Rahman},
  title = {Estimating Regional Trends of Temperature in Bangladesh},
  journal = {International Journal of Environmental Monitoring and Analysis},
  volume = {1},
  number = {5},
  pages = {175-181},
  doi = {10.11648/j.ijema.20130105.12},
  url = {https://doi.org/10.11648/j.ijema.20130105.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20130105.12},
  abstract = {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.},
 year = {2013}
}

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TY  - JOUR
T1  - Estimating Regional Trends of Temperature in Bangladesh
AU  - Mst. Noorunnahar
AU  - Md. Arafat Rahman
Y1  - 2013/09/10
PY  - 2013
N1  - https://doi.org/10.11648/j.ijema.20130105.12
DO  - 10.11648/j.ijema.20130105.12
T2  - International Journal of Environmental Monitoring and Analysis
JF  - International Journal of Environmental Monitoring and Analysis
JO  - International Journal of Environmental Monitoring and Analysis
SP  - 175
EP  - 181
PB  - Science Publishing Group
SN  - 2328-7667
UR  - https://doi.org/10.11648/j.ijema.20130105.12
AB  - 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.
VL  - 1
IS  - 5
ER  -

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Author Information

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

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APA Style

Mst. Noorunnahar, Md. Arafat Rahman. (2013). Estimating Regional Trends of Temperature in Bangladesh. International Journal of Environmental Monitoring and Analysis, 1(5), 175-181. https://doi.org/10.11648/j.ijema.20130105.12

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ACS Style

Mst. Noorunnahar; Md. Arafat Rahman. Estimating Regional Trends of Temperature in Bangladesh. Int. J. Environ. Monit. Anal. 2013, 1(5), 175-181. doi: 10.11648/j.ijema.20130105.12

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AMA Style

Mst. Noorunnahar, Md. Arafat Rahman. Estimating Regional Trends of Temperature in Bangladesh. Int J Environ Monit Anal. 2013;1(5):175-181. doi: 10.11648/j.ijema.20130105.12

Copy | Download

@article{10.11648/j.ijema.20130105.12,
  author = {Mst. Noorunnahar and Md. Arafat Rahman},
  title = {Estimating Regional Trends of Temperature in Bangladesh},
  journal = {International Journal of Environmental Monitoring and Analysis},
  volume = {1},
  number = {5},
  pages = {175-181},
  doi = {10.11648/j.ijema.20130105.12},
  url = {https://doi.org/10.11648/j.ijema.20130105.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20130105.12},
  abstract = {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.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Estimating Regional Trends of Temperature in Bangladesh
AU  - Mst. Noorunnahar
AU  - Md. Arafat Rahman
Y1  - 2013/09/10
PY  - 2013
N1  - https://doi.org/10.11648/j.ijema.20130105.12
DO  - 10.11648/j.ijema.20130105.12
T2  - International Journal of Environmental Monitoring and Analysis
JF  - International Journal of Environmental Monitoring and Analysis
JO  - International Journal of Environmental Monitoring and Analysis
SP  - 175
EP  - 181
PB  - Science Publishing Group
SN  - 2328-7667
UR  - https://doi.org/10.11648/j.ijema.20130105.12
AB  - 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.
VL  - 1
IS  - 5
ER  -

Copy | Download