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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.