تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

مدلسازی دینامیکی ویژگی های مکانی- زمانی گرد و غبار در جنوب و جنوب شرق ایران با مدل REGCM4

نویسندگان
1 دانشجوی دکتری آب و هواشناسی دانشگاه حکیم سبزواری
2 استادیار مرکز پژوهشی مطالعات جغرافیایی و علوم اجتماعی دانشگاه حکیم سبزواری
3 دانشیار آب و هواشناسی دانشگاه حکیم سبزواری
4 استادیار آب و هواشناسی دانشگاه فردوسی مشهد
چکیده
گرد و غبار یکی از مخاطرات جوی است که در نواحی خشک و نیمه­ خشک دارای پیامدهای اقلیمی و زیست محیطی نامطلوبی می باشد. هدف تحقیق حاضر مدلسازی دینامیکی ویژگی های مکانی- زمانی گرد و غبار در جنوب و جنوب شرق ایران با مدل REG-CM4 با استفاده از داده های ماهانه گرد و غباری و داده های مدل RegCM4 می باشد. بدین منظور، توزیع مکانی گرد و غبار به روش IDW به همراه نمودارهای گرد و غبار ترسیم شدند. مدل RegCM4 با در نظرگیری سیستم تصویر لامبرت با قدرت تفکیک افقی 40 کیلومتر با مدل جفت شده شیمی اجرا شد. توزیع مکانی گرد و غبار ماهانه و سالانه بالاترین مقادیر فراوانی گرد و غبار را برای شهرهای زابل، بندرعباس، زاهدان و جاسک نسبت به ایستگاه های سیرجان، کهنوج و لار نشان می دهد. علاوه بر این، بیشترین وقوع فراوانی گرد و غبار در استان های سیستان و بلوچستان (%48)، هرمزگان (%27) و فارس با 16 درصد و کمترین فراوانی آن برای استان کرمان (%9) نشان داده شده است. به طور کلی، فصول تابستان (در ایستگاه سیستان) و زمستان (ایستگاه کرمان) به ترتیب بیشینه و کمینه رخداد گرد و غبار را دارند. بررسی زمانی نیز بیشترین میزان گرد و غبار را برای ماه های گرم سال و کمترین را برای ماه های سرد سال به همراه دارد. ماه جولای در ایستگاه زابل و ماه های نوامبر و دسامبر در ایستگاه سیرجان به ترتیب بیشترین و کمترین فراوانی گرد و غبار را دارند. همچنین، مدل اقلیمی RegCM4 برای متغیرهای مختلف نیز بیشینه گرد و غبار را بر روی جنوب شرق، جنوب و سواحل جنوب به خوبی نشان داده است.
کلیدواژه‌ها

عنوان مقاله English

Dynamic modeling of spatial-temporal characteristics of dust in south and southeastern Iran with REG-CM4 model

نویسندگان English

Motahhareh Zargari 1
Mahdi Boroughani 2
Alireza Entezari 3
Abbas Mofidi 4
Mohammad Baaghideh 3
1 Ph.D. Student Assistant Professor of climatology, Hakim Sabzevari University
2 Assistant Professor of Geographical and Social Sciences Research Center of Hakim Sabzevari University.
3 Associate Professor of climatology, Hakim Sabzevari University
4 Associate Professor of climatology,Ferdowsi University
چکیده English

The aim of the present study is to dynamically model the spatial-temporal characteristics of dust in the south and southeast of Iran with REG-CM4 model using monthly dust data and RegCM4 data. For this purpose, the dust distribution of the IDW method along with the dust diagrams were plotted. The RegCM4 model was implemented with the paired Lambert image imaging system for 40 km horizontal separation with the paired chemistry model. The location of monthly and annual dust distribution shows the highest amounts of dust for the cities of Zabol, Bandar Abbas, Zahedan and Jask compared to Sirjan, Kahnooj and Lar stations. The highest frequency of dust in Sistan and Baluchestan (48%), Hormozgan (27%) and Fars provinces with 16% and the lowest frequency for Kerman province (9%). In general, the summer seasons (at Sistan station) and the winter (Kerman station) have the highest and minimum dust events, respectively. The time survey also has the highest amount of dust for the warm months of the year and the lowest for the cold months of the year. July at Zabol station and November and December at Sirjan station have the highest and lowest dust levels, respectively. The RegCM4 climate model also shows maximum dust on the southeast, south and south coasts for different variables.

کلیدواژه‌ها English

Dust
Time Distribution
Spatial distribution
RegCM4
South and Southeast of Iran
22. Ackerman, S. A. Hyosang Ch., (1992), Radiative Effects of Airborne Dust on Regional Energy Vudgets at the Top of Atmosphere. American Meteorological Society, 31: 223-233.
23. Akbari, S., (2011), Dust storms, sources in the Middle East and economic model for survey it’s impacts. Australian Journal of Basic and Applied Sciences, 5(12): 227-233.
24. Alizadeh-Choobari, O., Najafi, M. (2017). Extreme weather events in Iran under a changing climate. Climate Dynamics, 50(1-2), 249-260. doi: 10.1007/s00382-017-3602-4.
25. Alizadeh-Choobari, O., Zawar-Reza, P. and Sturman, A., (2014), The “wind of 120days” and dust storm activity over the Sistan Basin. Atmospheric Research, 143: 328-341.
26. Antón, M., Valenzuela, A., Cazorla, A., Gil , J.E., Fernández-Gálvez, J., Lyamani , H., Foyo-Moreno, I., Olmo, F.J., Alados-Arboledas, L., (2012), Global and diffuse shortwave irradiance during a strong desert dust episode at Granada (Spain), Atmos. Res. 118: 232–239.
27. Bou Karam, D., Flamant, C., Tulet, P., Todd, M.C., Pelon, J., Williams, E., (2009), Dry cyclogenesis and dust mobilization in the intertropical discontinuity of the West African Monsoon: A case study. J. Geophys. Res. 114: 1-14.
28. Cao J, Shen Z, Chow JC, Qi G, Watson JG, (2009), Seasonal variations and sources of mass and chemical composition for PM10 aerosol in Hangzhou, China, Particuology, 7(3): 161-8.
29. Chen, S. Y., Jiang, N. X., Huang, J. P., Xu, X. G., Zhang, H. W., Zang, Z., Huang, K. N., Xu, X. C., Wei, Y., Guan, X. D., Zhang, X. R., Luo, Y., Hu, Z. Y., Feng, T. C., (2018), Quantifying contributions of natural and anthropogenic dust emission from different climatic regions, Atmos. Environ., 191: 94-104.
30. Claquin, T., Schulz, M., Balkanski, Y., Boucher, O., (1998), Uncertainties in assessing radiative forcing by mineral dust. TellusB 50: 491–505.
31. Engelstaedter S, Tegen I, Washington R, (2006), North African dust emissions and transport, Earth-Science Reviews, 79(1-2): 73-100.
32. Gorjian. S., Ghobadian., B, (2015), Solar desalination: A sustainable solution to water crisis in Iran, Renewable and Sustainable Energy Reviews, 48: 571–584.
33. Goudie AS, Middleton NJ., (2006), Desert dust in the global system, Heidelberg: Springer Verlag, 225p.
34. Goudie, A.S., Middleton, N.J., (2001), Saharan dust storms: nature and consequences, Earth Sci . Rev. 56: 179–204.
35. Goudie, A.S., (2009), Dust storms: recent developments, Journal of Environmental Management, 90: 89–94.
36. Hamidi, M., Kavianpour, M., & Shao, Y., (2013), Synoptic analysis of dust storms in the Middle East. Asia-Pacific Journal of Atmospheric Sciences, 49(3): 279-286.
37. Hosseini, S., Parvari, H., Pahlavanravi, M., Moghaddamnia, A., ShahriariA, R. Ekhtesasi, M. R., (2012), Comparison of nICD and ESAs models to desertification map in the Nyatk region of Sistan, Journal of Watershed Management Research (Pajouhesh and Sazandegi), 90: 42-54.
38. Hua, NP., Kobayashi, F., Iwasaka, Y., Shi, GY., Naganuma, T., (2007), Detailed identification of desert-originated bacteria carried by Asian dust storms to Japan, Aerobiologia, 23(4): 291-8.
39. Kang, KK., Chu, JM., Jeong, HS., Han, WJ., Yu, NM., (2004), A Study on the Analysis of Damages of Northeast Asian Dust and Sand Storm and of the Regional Cooperation Strategies, Korea Environment Institute, 2(1):112-8.
40. Kaskaoutis, D.G., Houssos, E.E., Rashki, A., Francois, P., Legrand, M., Goto, D., Bartzokas, A., Kambezidis, H.D., Takemura, T., (2016), The Caspian Sea – HinduKush Index (CasHKI): a regulatory factor for dust activity over southwest Asia, Glob. Planet. Change 137: 10-23.
41. Krueger, BJ., Grassian, VH., Cowin, JP., Laskin, A., (2004), Heterogeneous chemistry of individual mineral dust particles from different dust source regions: the importance of particle mineralogy, Atmospheric Environment, 38(36): 6253- 61. 22.
42. Kumar, S., Kumar, S., Kaskaoutis, D.G., Singh, R.P., Singh, R.K., Mishra, A.K., Srivastava, M.K., Singh, A.K., (2015), Meteorological, atmospheric and climatic perturbations during major dust storms over Indo-Gangetic basin, Aeol. Res. 17: 15-31.
43. Legrand, M., Desbois, M., Vovor, K., (1988), Satellite detection of Saharan dust: Optimized imaging during nighttime, Journal of climate, 1(3): 256-264.
44. Marcella, M.P., and Eltahir, E.A., (2010), Effects of mineral aerosols on the summertime climate of southwest Asia: Incorporating sub grid variability in a dust emission scheme, Journal of Geophysical Research, 115: 14-27.
45. Masoumi, A., Laleh, E., Bayat, A., (2019), Optical and physical properties, time-period, and severity of dust activities as a function of source for the main dust sources of the Middle East, Journal Of Atmospheric And Solar-Terrestrial Physics, 185: 68-79.
46. Patadia, F., Yang, E.S., Christopher, S.A., (2009), Does dust change the clear sky top of atmosphere shortwave flux over high surface reflectance regions?, Geophys. Res. 36: 1-5.
47. Pérez., García-Pando, C., Stanton, M.C., Diggle, P.J., Trzaska, S., Miller, R.L., Perlwitz, J.P., Baldasano, J.M., Cuevas, E., Ceccato, P., Yaka, P., Thomson, M.C., (2014), Soil Dust Aerosols and Wind as Predictors of Seasonal Meningitis Incidence in Niger. Environ. Health Perspect. 122: 679–686.
48. Peters., A, (2005), Paticulate matter and heart disease: Evidence from epidemiological studies, Toxicol Appl Pharmacol, 1(207): 477-80.
49. Rashki, A., Arjmand, M. and Kaskaoutis, D., (2017), Assessment of dust activity and dust-plume pathways over Jazmurian Basin, southeast Iran, Aeolian Research, 24: 145-160.
50. Rashki, A., Eriksson, P., Rautenbach, C., Kaskaoutis, D., Grote, W. and Dykstra, J. (2013b), Assessment of chemical and mineralogical characteristics of airborne dust in the Sistan region, Iran, Chemosphere, 90(2): 227-236.
51. Rashki, A., Kaskaoutis, D., Francois, P., Kosmopoulos, P. and Legrand, M., (2015), Dust-storm dynamics over Sistan region, Iran: Seasonality, transport characteristics and affected areas, Aeolian Research, 16: 35-48.
52. Rashki, A., Kaskaoutis, D., Goudie, A. and Kahn, R., (2013a)., Dryness of ephemeral lakes and consequences for dust activity: The case of the Hamoun drainage basin, southeastern Iran, Science of The Total Environment, 463-464: 552-564.
53. Rashki, A., Kaskaoutis, D., Rautenbach, C., Eriksson, P., Qiang, M. and Gupta, P., (2012), Dust storms and their horizontal dust loading in the Sistan region, Iran. Aeolian Research, 5: 51-62.
54. Ravi, S., D'Odorico, P., Breshears, DD., Field, JP., Goudie, AS., Kahn, RA., (2011), Aeolian processes and the biosphere, Rev Geophys, 49(3): 1-45.
55. Richon, C., Dutay, J.-C., Dulac, F., Wang, R., Balkanski, Y., (2018), Modeling the biogeochemical impact of atmospheric phosphate deposition from desert dust and combustion sources to the Mediterranean Sea, Biogeosciences 15: 2499-2524.
56. Roman, R., Antón, M., Valenzuela, A., Gil , G.E., Lyamani , H., De Miguel , A., Olmo, F.G., Bilbao, J., Alados-Arboledas, L., (2013), Evaluation of the desert dust effects on global, direct and diffuse spectral ultraviolet irradiance, TellusB 65: 1-14.
57. Salvador, P., Alonso-Pérez, S., Pey, J., Artíñano, B., de Bustos, J.J., Alastuey, A., Querol, X., (2014), African dust outbreaks over the western Mediterranean Basin: 11-year characterization of atmospheric circulation patterns and dust source areas, Atmos. Chem. Phys., 14: 6759–6775.
58. Schepanski, K., Mallet, M., Heinold, B., Ulrich, M., (2016), North African dust transport toward the western Mediterranean basin: atmospheric controls on dust source activation and transport pathways during June–July 2013, Atmos. Chem. Phys. 16: 14147-14168.
59. Shao Y, Wyrwoll KH, Chappell A, Huang J, Lin Z, McTainsh GH, et al., (2011), Dust cycle: an emerging core theme in Earth system science. Aeolian Res, 2: 181–204.
60. Solmon, F., Nair, V.S., Mallet, M., (2015), Increasing Arabian dust activity and the Indian summer monsoon, Atmos. Chem. Phys. 15: 8051–8064.
61. Tanaka, T.Y., Chiba, M., (2006), A numerical study of the contributions of dust source regions to the global dust budget, Global Planet Change, 52: 88–104.
62. Wang, YQ., Zhang, XY., Arimoto, R., Cao, JJ., Shen, ZX., (2005), Characteristics of carbonate content and carbon and oxygen isotopic composition of northern China soil and dust aerosol and its application to tracing dust sources, Atmospheric Environment, 39(14): 2631-42.
63. Yang, G., Song, L., Lu, X., Wang, N., Li, Y., (2017), Effect of the exposure to suspended solids on the enzymatic activity in the bivalve Sinonovacula constricta, Aquaculture and Fisheries 2: 10–17.
64. 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, J. Geophys. Res.Atmos., 120: 1739- 1758.
65. Zakey, A.S., Solmon, F., Giorgi, F., (2006), Implementation and testing of a desert dust module in a regional climate model, Atmospheric Chemistry and Physics, 6: 4687-4704.