تعداد نشریات | 161 |
تعداد شمارهها | 6,468 |
تعداد مقالات | 69,897 |
تعداد مشاهده مقاله | 122,418,215 |
تعداد دریافت فایل اصل مقاله | 95,662,973 |
Dust Distribution and Emission Modeling (Study Area: Mahshahr Area) | ||
Desert | ||
دوره 26، شماره 1، شهریور 2021، صفحه 115-125 اصل مقاله (517.58 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jdesert.2020.305545.1006788 | ||
نویسندگان | ||
H. Mohammad Asgari* 1؛ Z. Mansouri2 | ||
1Environment,Marine Natural Resources, Khorramshahr University of Marine Science and Technology, Iran. | ||
2Marine Environmental, Marine Natural Resources, Khorramshahr University of Marine Science and Technology, Iran | ||
چکیده | ||
Dust storms are one of the most significant challenges in the Western Asia region in recent years and have intensified because of drought. Emission of dust in a scattered and especially heterogeneous manner has made it difficult to determine the exact effect, so modeling is one of the best possible ways to quantify dust emission. Moreover, to deal with this phenomenon, it is necessary to identify the main and influential factors and, by combining these factors, we can predict dust storms using models. The purpose of this study is to model the distribution and emission of dust in two stormy days on the 26th and 27th of January 2017 in the arid and the hyper-arid region of Mahshahr. For this purpose, coding of each meteorological parameter (section 2.2), dust input concentration parameters, and in MATLAB R2014 software have been made. Also, dust input concentration maps were prepared for the two stormy days in the study area in ARCGIS 9.3 software. Finally, the results were evaluated with WRF model outputs. The efficiency of the developed model was also evaluated based on the hourly data of the dust input concentration for two stormy days in the study area. The evaluation of the model shows the ability of this model to modeling the dust distribution in the study area with high intensity of dust emitted and high accuracy. The R correlation index for the period under study was 0.84, which indicates the high accuracy of the model. | ||
کلیدواژهها | ||
Dust؛ Distribution Modeling؛ Arid region؛ Dust emission؛ MATLAB Software | ||
مراجع | ||
References Abbasi HR, Rafie Emam A, Rohipur H. 2008. Analysis of Dusts Source of Bushehr and Khuzestan Using Satellite Imagery. J. For. Range, 78; 48-51. Asakereh H, Khoshraftar R, Mosavi K. 2016. Probability study of wind erosion power in Khuzestan. Journal of Geographical Research on Desert Areas, 3(2); 1-23. Azhdari A, Darvishikhatooni J. 2015. Sedimentary geochemistry report of dust centers in Khuzestan province. Geological organization and mineral explorations of the country, Geological and Mineral Exploration Management of Southwest Region (Ahvaz); 15-16. Chan YC, McTainsh GH, Leys JF, McGowan H, Tews K. 2005. Influence of the 23 October 2002 dust storm on the air quality of four Australian cities. Water Air Soil Poll, 164; 329–348. Darmenova K, Sokolik IN, Shao Y, Marticorena B, Bergametti G. 2009. Development of a physically based dust emission module within the Weather Research and Forecasting (WRF) model: Assessment of dust emission parameterizations and input parameters for source regions in Central and East Asia. Journal of Geophysical Research: Atmospheres, 114(D14). De Visscher A. 2013. Air dispersion modeling: foundations and applications. John Wiley & Sons. Elmore AJ, Kaste JM, Okin GS, Fantle MS. 2008. Groundwater influences on atmospheric dust generation in deserts. Journal of Arid Environment, 72; 1753–1765. Ginoux P, Prospero M, Torres O, Chin M. 2004. Long term simulation of global dust distribution with the GOCART model: correlation with North Atlantic Oscillation. Environmental Modelling & Software 19.2 ;113-128. Goudarzi GH, Shirmardi M, Naimabadi A, Ghadiri A, Sajedifar J. 2018. Chemical and organic characteristics of PM2.5 particles and their in-vitro cytotoxic effects on lung cells: The Middle East dust storms in Ahvaz, Iran. Science of the Total Environment, Stoten, https://doi.org/10.1016/j.scitotenv.2018.11.153. Hejazi zade Z, Bazmi N, Rahimi A, Tolabi nezhad M, Basak A. 2017. Spatio-temporal modeling of Albedo in the Iranian Earth. Journal of Applied Geosciences Research, 47(17); 1-17 (In Persian). Khosravi M, Ebrahimi M, Behrozi M. 2016. Study of wind energy status in Khuzestan province for use of wind turbines. Regional Planning Quarterly, 6 (22); 29-42 (In Persian). Lashkari H, Sabuei M. 2013. Synoptic analysis of dominant patterns in Khuzestan province’s dust storm. Scientific Journal of Sepehr Geographical Information, 87(22); 32-38 (In Persian). Lu H, Shao Y. 1999. A new model for dust emission by saltation bombardment. Journal of Geophysical Research, 104(D14); 16827-16842. Marticorena B, Bergametti G, Aumont B, Callot Y, N'Doumé C, Legrand M. 1997. Modeling the atmospheric dust cycle: 2. Simulation of Saharan dust sources, Journal of Geophysical Research, 102; 4387-4404. Marticorena B, Bergametti G. 1995. Modeling the atmospheric dust cycle: 1. Design of a soil-derived dust emission scheme. Journal of Geophysical Research, 100; 16415-16430. Middleton NJ. 1986. A Geography of dust storms in Southwest Asia. Journal of Climatology 6.2; 183- 196. NCAR. 1990. Available from https://www.mmm.ucar.edu/weather-research-and-forecasting-model. Accessed 28th September 2020. Owen RP. 1964. Saltation of uniform grains in air. Journal of Fluid Mechanics 20, 29; 225-242. Refahi H. 1999. Wind erosion and its control. University of Tehran Press, 4; 104. Rezazadeh M, Irannejad P, Shao Y. 2017. An Assessment of Wind Erosion Schemes in Dust Emission Simulations over the Middle East. Quarterly journal of Environmental Erosion Research, 23;14-32. Roshani A, Hejazi zadeh Z. 2013. Time-lapse opportunity for long-term fixed jobs in Iran. Journal of Geography and Hazards 9; 55-72 (In Persian). Shamshiri S, Jafari R, Soltani S, Ramezani N. 2014. Dust Detection and Mapping in Kermanshah Province Using MODIS Satellite Imagery. Iranian Journal of Applied Ecology 3.8; 29-42 (In Persian). 125 Mansouri & Asgari Shao Y. 2004. Simplification of a dust emission scheme and comparison with data Shao, Yaping. "Simplification of a dust emission scheme and comparison with data. Journal of Geophysical Research: Atmospheres, 109.D10. Shao Y. 2006. Physics and Modelling of Wind Erosion, Springer; 452. Shao Y, Yang Y, Wang J, Song Z, Leslie L, Dong C, Zhang Z, Lin Z, Kanani Y, Yabuki S, Chun Y. 2003. Real time numerical prediction of northeast Asian dust storm using an integrated modeling system. Journal of Geophysical Research, 108; 46-57. Stull RB. 1988. An introduction to boundary layer meteorology. Dordrecht: Kluwer Academic publishers. Tegen I, Fung I. 1995. Contribution to the atmospheric mineral aerosol load from land surface modification. Journal of Geophysical Research, 100; 707–726. Uno I, Harada K, Satake S, Hara Y, Wang Z. 2005. Meteorological characteristics and dust distribution of the Tarim Basin simulated by the nesting RAMS/CFORS dust model. Journal of the Meteorological Society of Japan, 83; 219–239. Velayatzadeh M. 2020. Introducing the causes, origins and effects of dust in Iran. Journal of Air Pollution and Health, 5(1); 63-70. White BR. 1979. Soil transport by winds on Mars. Journal of Geophysical Research, 84, 4643- 4651. Yu Y, Notaro M, Liu Z, Wang F, Alkolibi F, Fadda E, Bakhrjy F. 2015. Climatic controls on the interannual to decadal variability in Saudi Arabian dust activity: toward the development of a seasonal dust prediction model Journal of Geophysical Research, 120; 1739–1758. | ||
آمار تعداد مشاهده مقاله: 523 تعداد دریافت فایل اصل مقاله: 368 |