Aim: The goal of this research is to identify synoptic patterns, determine dust generator concentrations, and determine the path and origin of dust to reduce damage in Yazd Province and northern Kerman Province.
Material & Method: In this study, MODIS satellite data and daily dust data (code 06) from synoptic stations in these regions during the statistical years 1987 to 2021, and the variables of air temperature, geopotential height, sea level pressure, orbital wind, meridional wind, specific humidity, and omega were used as upper atmosphere data and damage statistics for the last ten years (2014-2017).
Finding: Analysis of the results showed that the highest dust concentration is in northern Kerman, Ravar, northeastern Ardakan, and northeastern Mehriz. There is also a significant relationship between the synoptic patterns of the Middle East region and dust events in the studied provinces through winter and spring circulation patterns at the level of 500 hectopascals.
Conclusion: The occurrence of dust in Yazd and Kerman provinces is strongly dependent on large-scale atmospheric patterns in the Middle East region, and the occurrence of storms is directly related to storm concentration and increased damage.
Innovation: Understanding these connections can help to better predict these phenomena and, consequently, to more effectively manage their effects. It also helps us to understand where dust in Yazd and Kerman originates and how it moves, and which areas are most at risk. By increasing road safety and developing advanced and intelligent warning systems and identifying hotspots, we can significantly reduce the number of accidents, injuries, fatalities, and economic losses caused by dust storms.