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Investigating the Trend of Temperature Changes in Isfahan Station, Iran Using the Sequential Mann-Kendall Method | ||
| Water Harvesting Research | ||
| دوره 5، شماره 2 - شماره پیاپی 8، شهریور 2022، صفحه 217-228 اصل مقاله (1.55 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22077/jwhr.2023.6429.1086 | ||
| نویسندگان | ||
| Zabihollah Khani Temeliyeh* 1؛ Sakineh Khani Temeliyeh2؛ Hassan Khani Temeliyeh3؛ Rasoul Mirabbasi4 | ||
| 1Expert in Civil Engineering and Watershed Management of Natural Resources of Khuzestan Province | ||
| 2The Head of the Faculty Recruitment Center of Hazrat Masoumeh University | ||
| 3M.Sc. Student of Atmospheric Physics, University of Tehran | ||
| 4Associate Professor, Department of Water Engineering, Shahrekord University | ||
| چکیده | ||
| During recent decades, global climate change has been one of the most important research topics in the study of the earth, and its consequences have been reported in many types of research. The aim of this research is to investigate the trend of monthly, seasonal and annual temperature changes in Isfahan province, Iran using the non-parametric Mann-Kendall test. In this research, to investigate the trend of temperature changes in Isfahan, the mean monthly, seasonal, and annual temperature data during a 67 years period (1951-2017) has been used. Then, the occurrence time and direction of trend of all studied temperature series were specified using sequential Mann-Kendall test. The statistical analysis of the results showed that all three parameters are distributed symmetrically and follow the normal distribution. The results showed that the mean monthly temperature time series had non-significant trend at level of 5%. The average seasonal trend of temperature using the sequential Mann -Kendall test indicates non-significant trend in the winter and an increasing trend in other seasons, but this trend is nonsignificant at level of 5%. The results revealed an increasing trend in the annual temperature series, which was significant at level of 5%. | ||
| کلیدواژهها | ||
| Climate Changes؛ Non-Parametric test؛ Temperature؛ Time Series | ||
| مراجع | ||
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