The Study of Synoptic Patterns Dominating on the Very Intensive Temperature Inversion in Tabriz
In this research we have studied Tabriz temperature inversion using radio-sound information, Skew-t maps and synoptic maps during the 2004-2008 period in daily and monthly scales. After reviewing the information and data at first days with weak, medium, and intense and very intense temperature inver...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
University of Tabriz
2014-08-01
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| Series: | نشریه جغرافیا و برنامهریزی |
| Subjects: | |
| Online Access: | https://geoplanning.tabrizu.ac.ir/article_1801_50cd6822bbe5cba30330387e7b9a2879.pdf |
| Summary: | In this research we have studied Tabriz temperature inversion using radio-sound information, Skew-t maps and synoptic maps during the 2004-2008 period in daily and monthly scales. After reviewing the information and data at first days with weak, medium, and intense and very intense temperature inversion conditions were specified. Thereafter, the synoptic pattern of very intense and weak samples relating to three earlier days and two days after the peak of temperature inversion were analyzed using ground surface synoptic maps of 850 and 700 hp. The results indicate that there is a strong correlation between the occurrence of high pressure systems and the intense and very intense temperature inversion. In such a way that the intensity of temperature inversion has a straight relationship with synoptic pattern conditions especially the entrance of high pressure systems in the area. When the high pressure system in a stable condition is coming to the area in few-days scale, the intensity of temperature inversion is maximized. After the entrance of the low pressure cells, the temperature inversion is eliminated. Findings of this research have shown that with analyzing the synoptic systems that lead to the occurrence of temperature inversion and through the recognition of the patterns dominating over it, one can predict extreme temperature inversion. In addition, we can distinguish the patterns leading to the air pollution |
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| ISSN: | 2008-8078 2717-3534 |