Document Type : Original Article
Authors
1
Department of Geography,Yazd University
2
دانشگاه
3
yazd univercity
4
Associate professor of Geography Department, Yazd University, Yazd, Iran
Abstract
Introduction:
In recent years, in addition to the common weather and climate disasters in the world, a new phenomenon called dust storms has also been proposed. The prediction of dust storms both in terms of time and space can be effective in reducing its destructive consequences. The purpose of this research is to identify productive synoptic patterns. Dust is in Yazd province and north of Kerman province.
Materials and methods: Therefore, the two sets of data include the daily data (code 06) of dust from the synoptic stations of these regions during the statistical years of 1987 to 2021 and the variables of air temperature, geopotential height, sea level pressure, orbital wind, meridional wind, specific humidity and omega as data. The above atmosphere was used. In order to check the synergism of the patterns that cause dust in the years in question, the rough circulation patterns of the geopotential height of 500 hectopascals were drawn in the dusty days of the studied provinces. After determining the days of dust by using cluster analysis and integration by Ward method, two main patterns were extracted and drawn on geopeninsular height unevenness events of 500 hectopascals.
Results and discussion: In order to draw better conclusions about the conditions and factors that cause the phenomenon of dust in Yazd province and north of Kerman province, maps of average sea level pressure, specific humidity at 700, 1000 and 850 hectopascals, omega (vertical air velocity in the atmosphere) at 1000 and 400 hectopascal levels, Tavai (convergence, divergence of wind) at the level of 500 hectopascals and the drawing of the jet (wind river) at the level of 300 hectopascals during the rule of each of the patterns were drawn and examined.
Conclusion: The results of this research showed that there is the most significant relationship between the synoptic patterns of the Middle East region and the dust events in the studied provinces by winter and spring circulation patterns at the level of 500 hectopascals.
Introduction:
In recent years, in addition to the common weather and climate disasters in the world, a new phenomenon called dust storms has also been proposed. The prediction of dust storms both in terms of time and space can be effective in reducing its destructive consequences. The purpose of this research is to identify productive synoptic patterns. Dust is in Yazd province and north of Kerman province.
Materials and methods: Therefore, the two sets of data include the daily data (code 06) of dust from the synoptic stations of these regions during the statistical years of 1987 to 2021 and the variables of air temperature, geopotential height, sea level pressure, orbital wind, meridional wind, specific humidity and omega as data. The above atmosphere was used. In order to check the synergism of the patterns that cause dust in the years in question, the rough circulation patterns of the geopotential height of 500 hectopascals were drawn in the dusty days of the studied provinces. After determining the days of dust by using cluster analysis and integration by Ward method, two main patterns were extracted and drawn on geopeninsular height unevenness events of 500 hectopascals.
Results and discussion: In order to draw better conclusions about the conditions and factors that cause the phenomenon of dust in Yazd province and north of Kerman province, maps of average sea level pressure, specific humidity at 700, 1000 and 850 hectopascals, omega (vertical air velocity in the atmosphere) at 1000 and 400 hectopascal levels, Tavai (convergence, divergence of wind) at the level of 500 hectopascals and the drawing of the jet (wind river) at the level of 300 hectopascals during the rule of each of the patterns were drawn and examined.
Conclusion: The results of this research showed that there is the most significant relationship between the synoptic patterns of the Middle East region and the dust events in the studied provinces by winter and spring circulation patterns at the level of 500 hectopascals.
Introduction:
In recent years, in addition to the common weather and climate disasters in the world, a new phenomenon called dust storms has also been proposed. The prediction of dust storms both in terms of time and space can be effective in reducing its destructive consequences. The purpose of this research is to identify productive synoptic patterns. Dust is in Yazd province and north of Kerman province.
Materials and methods: Therefore, the two sets of data include the daily data (code 06) of dust from the synoptic stations of these regions during the statistical years of 1987 to 2021 and the variables of air temperature, geopotential height, sea level pressure, orbital wind, meridional wind, specific humidity and omega as data. The above atmosphere was used. In order to check the synergism of the patterns that cause dust in the years in question, the rough circulation patterns of the geopotential height of 500 hectopascals were drawn in the dusty days of the studied provinces. After determining the days of dust by using cluster analysis and integration by Ward method, two main patterns were extracted and drawn on geopeninsular height unevenness events of 500 hectopascals.
Results and discussion: In order to draw better conclusions about the conditions and factors that cause the phenomenon of dust in Yazd province and north of Kerman province, maps of average sea level pressure, specific humidity at 700, 1000 and 850 hectopascals, omega (vertical air velocity in the atmosphere) at 1000 and 400 hectopascal levels, Tavai (convergence, divergence of wind) at the level of 500 hectopascals and the drawing of the jet (wind river) at the level of 300 hectopascals during the rule of each of the patterns were drawn and examined.
Conclusion: The results of this research showed that there is the most significant relationship between the synoptic patterns of the Middle East region and the dust events in the studied provinces by winter and spring circulation patterns at the level of 500 hectopascals.
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