Volume 24, Issue 74 (12-2024)                   jgs 2024, 24(74): 134-153 | Back to browse issues page


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Alizadeh T, Rezaei Banafsheh M, Rostamzadeh H, Goodarzi G, Maleki H, Alizadeh H. Detection and simulation of Kermanshah dust storm using HYSPLIT and WRF-chem models. jgs 2024; 24 (74) :134-153
URL: http://jgs.khu.ac.ir/article-1-3858-en.html
1- PhD student in meteorology
2- Professor of Meteorology , mrbanafsheh@yahoo.com
3- Assistant Professor of Meteorology
4- Associate Professor of Health and Environmental Engineering
5- Master of Environmental Engineering
6- Master student of Meteorology
Abstract:   (1926 Views)
The aim of this study was to identify the epicenter and co-occurrence factors of dust storm wave from 1 to 3 November 2017 in Kermanshah. To investigate the synoptic conditions of the causes of this phenomenon, from the European Central Center (ESMWF) mid-term weather forecast data set with a resolution of 0.125 degrees of arc including, geopotential height, omega, sea level pressure, orbital and meridional components, humidity. The Lagrangian method of HYSPLIT model was used to orient the source of dust particles. in this study, dust storm WRF-chem was simulated using a paired numerical weather forecasting model. Finally, through the processing of MODIS satellite images, its scope was determined. Examination of HYSPLIT tracking maps shows that two general paths for dust transfer to the area can be identified. 1- The northwest-southeast route, which passes through dust cores formed in the deserts of Iraq and Syria, transports dust to the western half of Iran. 2- Southwest to west of Iran and Kermanshah, which is the main source of dust on November 2 and 3, The source of the particles is Kuwait, northern Saudi Arabia and part of Iraq. The spatial distribution of the dust interpreted by the MODIS sensor images is consistent with the spatial distribution of the dust concentration simulated by the WRF-chem model.
Full-Text [PDF 2120 kb]   (46 Downloads)    
Type of Study: Applicable | Subject: climatology
Received: 2020/07/10 | Accepted: 2020/11/30

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