Applied Research in Geographical Sciences

Applied Research in Geographical Sciences

Detection and simulation of Kermanshah dust storm using HYSPLIT and WRF-chem models

Authors
Tooba Alizadeh 1
Majid Rezaei Banafsheh 2
Hashem Rostamzadeh 3
Gholamreza Goodarzi 4
Hedar Maleki 5
Hamzeh Alizadeh 6
1 PhD student in meteorology
2 Professor of Meteorology
3 Assistant Professor of Meteorology
4 Associate Professor of Health and Environmental Engineering
5 Master of Environmental Engineering
6 Master student of Meteorology
10.61186/jgs.24.74.8
Abstract
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.
Keywords
Dust
Synoptic system
HYSPLIT model
WRF-chem
Kermanshah city
Barkan, J.; P.Alpert, H. Kutiel, and P.Kishcha. 2005. Synoptic of dust transportation days from Africa toward Italy and central Europe. Journal of Geophysical Research,110(7): 1-14. DOI: 10.1029/2004JD005222.
Byers, H. R1974, General meteorology, MC Graw, Hill Inc. Draxler, R., Gillette, A., Kirkpatrick, S., Heller, J., 2001., "Estimating PM10 air concentration from dust storm in Iraq, Kuwait and Saudi Arabia", Journal of Atmospheric Environment, Vol. 35, pp. 4315-4330. Draxler, R, R., Rolph, G, D., 2012, HYSPLIT (Hybrid Single – Particle Lagrangian Integrated Trajectory), Model access via NOAA ARL, NOAA AIR Resources Laboratory, Silver Springer, MD.
Draxler, R.R. and G.D. Rolph. 2003. HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory. Model access via NOAA ARL READY, Website http://www.arl.noaa.gov/ready/ hysplit4.html. https://doi.org/10.1175/BAMS-D-14-00110.1.
Engelstadler, S. (2001). Dust storm frequencies and their relationships to land surface conditions. Freidrich-Schiller university press, jena. Germany. 26.
Han, Z., Ueda, H., Matsuda, K., Zhang, R., Arao, K., Kanai, Y., Hasome, H., (2004), “Model study on particle size segregation and deposition during Asian dust events in March 2002”, Journal of Geophysical Research VOL.109, PP 1-22;
Hsu, N.; M.J. Jeong, C. Bettenhausen, A. Sayer, R. Hansell, and C. Seftor. 2013 Enhanced Deep Blue aerosol retrieval algorithm: The second generation. Journal of Geophysical Research. Atmosphere, 118(16): 9296- 9315. DOI:10.1002/jgrd.50712.
Heidari, M., Shirmardi, M., Alavi, N., Malehi, H., Sorooshian, A., Babaei, A., Asgharnia,H., Marzouni, M., Goudarzi, Gh., (2018), “Evaluation of the relationship between pm10 concentrations and heavy metals during normal and dusty days in Ahvaz”, journal homepage: Aeolin Research 33(2018)12-22.
Indoitu, R., L. Orlovsky, N. Orlovsky, (2012), “Dust storms in Central Asia: Spatial and temporal variations”, Journal of Arid Environments, VOL.85, PP 62-70;
Li, Jiawei, Zhiwei Han, Renjian Zhang, (2011), “Model study of atmospheric particulates during dust storm period in March 2010 over East Asia”, Atmospheric Environment, VOL.45, PP 3954 -3964;
Gao, T.; J. Hna, Y. Wang, H. Pei, and S. Lu. 2011. Impacts of climate abnormality on remarkabledust storm increase of the Hunshdak Sandy Lands in northern China during 2001–2008, meteorological applications meteorol.
Gong, S.L., Zhang, X.Y., Zhao, T.L., McKendry, I.G., Jaffe, D.A., Lu, N.M., (2003).
“Characterization.
Shao, Y. and C.H. Dong. 2006. A review on East Asian dust storm climate, modelling and monitoring. Global and Planetary Change, 52(1-4): 1–22.
Tanaka, T.Y. and M. A. Chiba.2006. a Numerical Study of the Contribution of Dust Source Regions to the Global Dust Budget. Glob Planetary Change, 52(1-4): 88-104. doi.org/10.1016/j.gloplacha.2006.02.002.
Waldhauserova, P. D.; O. M. Agnes, H. Olafsson, and O. Arnalds .2016. The Spatial Variation of Dust Particulate Matter Concentrations during Two Icelandic Dust Storms in 2015. Atmosphere, 7(6): 77, DOI:10.3390/atmos7060077.