مژگان علایی نژاد - ۱Department of Environmental Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
غلامرضا گودرزی - Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
رضا جلیل زاده - Department of Environmental Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
امیر حسین دوامی - Department of Environmental Management-HSE, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
الهام مبارک حسن - Department of Environment, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

Background & Aims: Atmospheric phenomena can directly influence the occurrence of dust events. The western and southwestern parts of Iran are considered dust hotspots. This study aimed to examine and determine the origin of dust particles in Ilam province and its relationship with climatic components in the period ۲۰۱۲-۲۰۱۸. Materials and Methods: In this descriptive-applied study, satellite images were obtained from the data transmitted from the Landsat TM satellite. In addition, HYSPLIT model was used to search for dust sources at an altitude of ۱۵۰۰ m or less (dust occurrence altitude class). Using SPSS ۱۸ and OriginPro ۲۰۱۸, time series of data and linear regression equations were analyzed to determine the relationship between particulate matter and climate indicators. Results: The results for the origin of particulate matter in Ilam province indicated that out of a total of ۱۶۵ daily dust events that occurred in this province from ۲۰۱۲ to ۲۰۱۷, ۶۹ (daily) dust events (۴۲%) originated from Iraq, ۳۶ (۲۲%) from Syria, ۲۹ (۱۷%) from Saudi Arabia, ۱۶ (۱۰%) from the Persian Gulf, and ۱۵ (۹%) from Jordan. The results of multiple regression analysis based on the influence coefficient of the absolute value of the standardized coefficients indicated that temperature with an influence coefficient of ۰.۳۷۰ was identified as a significant factor related to the particulate matter. In the correlation analysis, the variables of temperature, humidity, dew point, and cloudiness showed a significant correlation with particulate matter at the level of ۰.۰۳. Conclusion: Considering the relationships between dust phenomena and climatic factors, they can be used to predict dust phenomenon.

Particulate matter, Dust, Climate change, Remote sensing technology