Research Article | OPEN ACCESS
Statistical Analysis of Fluctuations in Kermanshah
1Dariush Yarahmadi, 1Parsa Gholami, 2Saeid Olfati and 3Khadijeh Moradi
1Department of Geography Science, Lorstan University, Iran
2Department of Climatology, Yazd University, Iran
3Department of Geomorphology, Esfahan University, Iran
Research Journal of Environmental and Earth Sciences 2013 10:631-637
Received: August 02, 2013 | Accepted: August 21, 2013 | Published: October 20, 2013
Abstract
Fluctuations maximum temperature of Kermanshah province of Iran and world nowadays one of the most important discussions in the scientific circle is the discussion about climatic changes’ increase in the average temperature of the globe and its consequence that more or less has been paid attention to in our country as well. In this research the attempt was to pay attention to the survey of increase data in the maximum temperature of Kermanshah. Thus the annual absolute maximums of date in the specific station during a 50-year period (1961- 2010) have been used. The correlation method (logarithmic’ poly nominal) and Mann- Kendall statistical test have been used for testing the meaningfulness of fluctuation direction of series temperature and its diagram has been drawn by using the MATLAB software. The results show that the temperatures of two decades of 1970 and 1980 have been lower and three decades of 1990 and 2000 have been higher than the long-term average and the decade of 1980 has been the coldest of the decades. The general result of this research shows that there are seasonal fluctuations in maximum temperature of Kermanshah which are not meaningful. The model of halt winter has been recognized as the best model for predicating the temperature of maximum extreme of Kermanshah which the diagram in a Minitab was drawn and the results of this predication shows that there is an abnormal increase in the temperature of 2014 and 2019.
Keywords:
Decade, halt-winters, kermanshah, mann-kendal, maximum temperature,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
|
ISSN (Online): 2041-0492
ISSN (Print): 2041-0484 |
|
Information |
|
|
|
Sales & Services |
|
|
|