Identification and zoning of dust phenomena using satellite remote sensing

Abstract

Background and Objective: Dust phenomena occur frequently in arid and semi-arid regions. Iran is always exposed to dust storms due to its geographical location. The paper aimed to highlight and map the dust phenomena using meteorological meteorological parameters and satellite images and the number of dust days of 20 synoptic stations in the period 2010 to 2017.Materials and Methods: In this study, Madis sensor images were used in accordance with the date of dusty days at the station. Visual interpretation methods with color combination and TDI and BTD dust indices were applied to highlight dust phenomenon. After highlighting the dust, dust zoning was done by interpolation methods. Then the correlation between the data with horizontal visibility less than 1000 m and meteorological parameters was evaluated and analyzed using regression method. The highest and lowest correlation coefficients (R ^ 2) of BTD and TDI dust indices with meteorological parameters, respectively.Results: The results of climatic data analysis showed that the highest storms were recorded in Ahvaz, Omidieh, Aghajari, Abadan, Behbahan, Hendijan, Bandar Mahshahr stations in 2012 (2012). The highest impact of walnut dust was in the southern meteorological stations of Khuzestan province near Iraq and Saudi Arabia. Therefore, foreign dusts are considered to have entered the southwestern and western parts of Iran from neighboring countries.