HYSPLIT algorithm in dust source Identifying and modeling

Abstract

Dust storms are one of the most important natural disasters and can strike due to different reasons, the phenomenon of dust is one of the most important sources of pollution in the world. This paper was used to identify dust hotspots in southwestern of Iran using Modis satellite images with appropriate temporal and spatial resolution. Modis images of MOD021KM were taken on dates corresponding to dust days and a true color combination and index (BTD) were used to identify dust. After dust detection, the main source and modeling of dust was performed by HYSPLIT algorithm at three heights and 48-hour return path. By tracking and identifying the source of dust storms, investigation of vegetation changes was carried out as this research was being done and the correlation between dust index and vegetation was also investigated. The results demonstrated that the dust source originates from neighboring countries such as Iraq, Syria, Jordan and Libya, and the increase in the occurrence of dust storms has had negative impacts on vegetation changes and plant loss.