:: Volume 19, Issue 65 (6-2019) ::
جغرافیایی 2019, 19(65): 57-70 Back to browse issues page
Reviews atmospheric mechanisms governing the occurrence of days with dust city of Tabriz and tracking using HYSPILIT model and MODIS Image
Abstract:   (3805 Views)

In order to investigate the mechanisms governing the occurrence of days with dust weather in Tabriz weather station in the current weather data from 1990 to 2102 were used. Continuing to identify circulation patterns in middle levels, 8 × 282 matrix was formed, and were selected the days that had continuing for more than 24 hours as, days with dust particles. Then, to identify the causes and types of dust storms prevailing in the event of data extraction and analysis in heights of 500 hPa and were made on which they factor and cluster analysis for every day. To better understand the atmospheric structure-regional meteorological patterns of different levels of pressure data derived from the National Center for environmental predictions / Atmospheric Research (NCEP / NCAR), and for tracking airborne particles of dust Lagrangian model HYSPILIT at the end of the transitional View MODIS images were used in each pattern visible band. The results showed that at the time of the incident ten days of dust in middle levels with a total of 93% of the total variance diffraction data were active had explained that the first factor of 62.5 percent. It turned out that three types of daily occurrence of this phenomenon has been the rule in the region, the first type: cut the Black Sea and East Mediterranean in the south, low pressure, second type: Deep trough from the Arctic to the Middle East and West: Third type a short wave Syria and Iraq have been deployed in the West.

Keywords: Dust, Atmospheric mechanisms - regional, Model HYSPILIT, The city of Tabriz.
Full-Text [PDF 872 kb]   (662 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/06/5 | Accepted: 2016/11/12 | Published: 2019/06/15
References
1. Amanollahi, J., Kaboudvandpour, Sh., (2014), "Assessment of MODIS images and data validation to measure pm10 in related to ground station data. Case study: Sanandaj, Iran", Journal of Geographical space, 14 (46): 153-173. [In Persian].
2. Ashrafi, A., Amiraslani, F., Darvishi Boloorani, A., Mousivand, A., (2019), "Leaf area index (LAI) responses of tree species to industrial dust (case study: The caspian hyrcanian mixed forests)", Journal of Geographical space, 18 (64): 267-286. [In Persian].
3. Ataei, H., Ahmadi, F., (2010), "Dust as one of the environmental problems of the Islamic World. Case study: Khuzestan Province", Proceedings of the Fourth International Congress of Geographers of the Islamic World, pp 19-19. [In Persian].
4. Azizi, Gh., Miri, M., Nabavi, A., (2012), "Detection of dust in the midwest of Iran", Journal of Arid Regions Geographical Studies, 2 (7): 63-81. [In Persian].
5. Barkan, J,. Alpert, P., (2010), "Synoptic analysis of a rare event of saharan dust reaching the arctic region", Weather, 65 (8): 208-211. [DOI:10.1002/wea.503]
6. Chun, Y., Boo, K. O., Kim, J., Park, S. U. Lee, M., (2001), "Synopsis, transport, and physical characteristics of asian dust in korea", Journal of Geophysical Research, 106: 18461-18469. [DOI:10.1029/2001JD900184]
7. Draxler, R. R., Rolph, G. D., (2011), "Hysplit (Hybrid single particle lagrangian integrated trajectory)", NOAA Air Resources Laboratory, Silver Spring, New yourk.
8. Draxler, R., Hess, G. D., (1998), "An overview of the HYSPLIT_4 modeling system for trajectories, dispersion and Deposition", Australian Meteorological Magazine, 47: 295-308.
9. Draxler, R., Stunder, B., Rolph, G., Stein, A., Taylor, A., (2009), "Hybrid single-particle lagrangian integrated trajectories 4 user's guide", NOAA Tech. Memo, ERL-ARL, 84 page.
10. Evan, A.T., Keidinger, A. K., Pavolonis, M. J., (2004), "A new algorithm for dust detection over water utilizing the AVHRR Imager", 13 th Conference on Satellite Meteorology and Oceanography, Norfolk, VA, 20-23 September 2004, Boston, MA, American Meteorological Society.
11. Falah Qalhari, GH. A., (2014), "Principles and foundations of meteorology", Sabzevar: Hakim Sabzevari University Press. [In Persian].
12. Ganor, E., Stupp, A., Osetinsky, I., Alpert, P., (2010), "Synoptic classification of lower troposphere profiles for dust days", Journal of Geophysical Research, 115 (11): 1-8. [DOI:10.1029/2009JD012638]
13. Goudie, A., Middleton, N. J., (2001), "Saharan dust storms: Nature and consequences", Earth Science Review, 56: 179-204. [DOI:10.1016/S0012-8252(01)00067-8]
14. Goudie, A., Middleton, N. J., (2000), "Dust storms in South West Asia", Acta Univ Car, 35: 73-83.
15. Huang, J., Ge, J., Weng, F., )2007(, "Detection of Asia dust storms using multisensory satellite measurements", Remote Sensing of Environment, 110 (2): 186-191. [DOI:10.1016/j.rse.2007.02.022]
16. Klüser, L., Schepanski, K., (2009), "Remote sensing of mineral dust over land with MSG infrared channels: A new bitemporal mineral dust index", Remote Sensing of Environment, 113 (9): 1853-1867. [DOI:10.1016/j.rse.2009.04.012]
17. Lashkari, H., Kikhosrovi, A., (2008), "Statistical analysis of synoptic dust storms in Khorasan Razavi province during the period (1993-2005)", Physical Geography Research Quarterly, 65: 17-33. [In Persian].
18. Ling-jun, L., Ying, W., Qiang, Z., Tong, Y., Yue, Z., Jun, J., (2007), "Spatial distribution of aerosol pollution based on MODIS data over Beijing China", Journal of Environmental Sciences, 19: 955-960. [DOI:10.1016/S1001-0742(07)60157-0]
19. Omidvar, K., (2006), "Synoptic analysis and analysis of sand storms in Yazd-ardakan plain", Geographical research Quarterly, 81: 43-58. [In Persian].
20. Prospero, J. M., Ginoux, P., Torres, O., Nicholson, S. E., Gill, T. E., )2002(, "Environmental characterization of global sources of atmospheric soil dust identified with the nimbus 7 total ozone mapping spectrometer (TOMS) absorbing aerosol product", Reviews of Geophysics, 40 (2): 1002. [DOI:10.1029/2000RG000095]
21. Raispour, K., (2008), "Statistical analysis of dust phenomenon in Khuzestan province", Master's Degree, Faculty of Geography and Environmental Planning, University of Sistan and Baluchestan, 189 page. [In Persian].
22. San-chao, L., Qinhuo, L., Maofang, G., Liangfu, C., (2006(, "Detection of dust storms by using daytime and nighttime multi-spectral MODIS images", Geoscience and Remote Sensing Symposium, Denever, USA, 31 July 2006, pp 294-296. [DOI:10.1109/IGARSS.2006.80]
23. Shao, Y., Dong, C. H., )2006(, "A review on east Asian dust storm climate, modeling and monitoring", Global and Planetary Change, 52 (1-4): 1-22. [DOI:10.1016/j.gloplacha.2006.02.011]
24. Sohrabinia, M., Khorshiddoust, A. M., (2007), "Application of satellite data and GIS in studying air pollutants in Tehran", Habitat International, 31: 268-275. [DOI:10.1016/j.habitatint.2007.02.003]
25. Stunder, B. J. B., (1997), "NCEP model output-FNL ARCHIVE DATA, TD-6141", Prepared for National Climatic Data Center (NCDC), USA, 60 page.
26. Takemi, T., Seino, N., )2005(, "Dust storms and cyclone tracks over the arid regions in East Asia in spring", Journal of Geophysical Research, 110 (18): 11-23. [DOI:10.1029/2004JD004698]
27. Tsai, T., Jeng, Y., Chu, D., Chen, J., Chang, S., (2011), "Analysis of the relationship between MODIS aerosol optical depth and particulate matter from 2006 to 2008", Atmospheric Environment, 45 (27): 4777-4788. [DOI:10.1016/j.atmosenv.2009.10.006]
28. Zhao, T. X. P., Ackerman, S., Guo, W., (2010(, "Dust and smoke detection for multi-channel imagers", Remote Sensing, 2 (10): 2347-2368. [DOI:10.3390/rs2102347]
29. Zolfaghari, H., Heydarzadeh, H., (2005), "Synoptic analysis of dust storms in West Iran", Geography evelopment Iranian Journal, 6: 173-188. [In Persian].


XML   Persian Abstract   Print



Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 19, Issue 65 (6-2019) Back to browse issues page