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تحلیل اقلیمی و بررسی طوفان های گرد و غبار در خراسان رضوی | ||
| پژوهش های جغرافیای طبیعی | ||
| دوره 53، شماره 3، آبان 1400، صفحه 305-318 اصل مقاله (706.25 K) | ||
| نوع مقاله: مقاله کامل | ||
| شناسه دیجیتال (DOI): 10.22059/jphgr.2021.301969.1007515 | ||
| نویسندگان | ||
| محسن عراقی زاده1؛ سید ابوالفضل مسعودیان* 2 | ||
| 1دانشجوی دکتری دانشگاه اصفهان، اصفهان، ایران | ||
| 2استاد گروه جغرافیای طبیعی دانشگاه اصفهان، اصفهان، ایران | ||
| چکیده | ||
| در این پژوهش به تحلیل آماری رخداد طوفان های گرد و غبار با استفاده از داده های ایستگاه هواشناسی همدیدی خراسان رضوی پرداخته شد. بر اساس دستورالعمل سازمان جهانی هواشناسی، هرگاه در ایستگاهی سرعت باد از 30 نات بیشتر شود و دید افقی به علت پدیدة گرد و غبار به کمتر از یک کیلومتر برسد، طوفان گرد و غبار گزارش میشود. کدهای 30 تا 35 مربوط به طوفان گرد و غبار یا شن معرفی میشود. در این تحقیق، نخست فراوانی رخداد طوفانهای گرد و غبار در ایستگاههای همدیدی خراسان رضوی طی سالهای 1331-1398 بررسی شد. سپس، به صورت موردی به بررسی رخداد طوفان گرد و غبار در مشهد به علت ایجاد وضعیت بحرانی در این کلانشهر در تاریخ 25/7/1396 برای بررسی مسیر ورودی این طوفانها پرداخته شد. بررسی تصاویر ماهوارة مودیس و تحلیلی الگوی گرد و غبار و همچنین ردیابی بستههای هوا حامل ذرات گرد و غبار با استفاده از مدل HYSPLIT با روش پسگرد و پیشگرد در ایستگاه مشهد بهعنوان یکی از مهمترین ایستگاه های هواشناسی شمال شرق کشور انجام شد. نتایج نشان داد بیشترین فراوانی طوفانهای گرد و غبار در سطح استان مرتبط با سبزوار با 136 طوفان ملایم و 79 طوفان شدید و شهرهای سرخس و گناباد در رتبه های بعدی بوده اند. با ردیابی و آشکارسازی پدیدة طوفان گرد و غبار به صورت موردی مشاهده شد که این پدیده نخست بر روی ترکمنستان شکل می گیرد و با نفوذ به مرزهای شرقی کشور شهر مشهد را تحت تأثیر قرار می دهد. | ||
| کلیدواژه‌ها | ||
| پدیدة گرد و غبار؛ شمال شرق ایران؛ HYSPLIT؛ MODIS | ||
| عنوان مقاله [English] | ||
| Climate analysis and study of dust storms in Khorasan Razavi | ||
| نویسندگان [English] | ||
| Mohsen Araghizade1؛ Seyed Abolfazl Masoodian2 | ||
| 1Department of Physical Geography | ||
| 2Es | ||
| چکیده [English] | ||
| Climate analysis and study of dust storms in Khorasan Razavi Introduction Dust and air pollution from dust are of important social and everyday issues in society. According to the Earth Observatory website dust storms are considered natural hazards, which affect ecosystems for short time intervals ranging from a few hours to a few days. Dust outbreaks have a significant impact on climate, human health and ecosystems, and numerous studies have been conducted worldwide with different instrumentation and techniques to investigate of such events. In addition to human health problems, these phenomena impose much damages to industrial and agricultural installation, population centers and communication ways. The recognition of source regions, creation and expansion style of dust storms and their relation with atmospheric circulation patterns are fundamental factors in reduction of their damages this has affected major decision-makings and policies. Dust particles enter the atmosphere under the influence of various factors such as weather conditions, ground surface characteristics such as topography, surface moisture, roughness and rough length and vegetation and soil characteristics (texture, density and composition) and land use (agriculture). Dust particles enter the atmosphere from the soil surface, rocks, volcanic lavas or environmental pollution and can lead to reduced evaporation, lowering the surface temperature and affect the precipitation process. Dust storms are one of the destructive climatic phenomena which are affected by various climatic elements such as pressure, precipitation, wind, temperature and evaporation. Dust storms are more common in arid and semi-arid regions and are far more important. Khorasan Razavi province has an arid and semi-arid climate with several dust storms occurring on its surface every year. Materials and methods Statistical study of dust storms and tracking and revealing the path of these storms is important. In this study, statistical analysis of dust storms was performed using data from Khorasan Razavi Synoptic Meteorological Station. According to the World Meteorological Organization (WMO) guidelines, when wind speeds exceed 30 knots per station and horizontal visibility is less than one kilometer due to the dust phenomenon, a dust storm is reported and, the WW = 30-35 codes related to dust or sand storms are introduced, the occurrence of these codes in Khorasan Razavi synoptic stations was investigated. In the next step, the source of the dust storm event was investigated as a case study on 10/17/2017 using the image of MODIS satellite in Mashhad. Monitoring of dust source region, transport pathways and plume characteristics is only possible from satellites because ground-based measurements are very limited in space and time. Therefore, it is important to identify, also for prognostic purposes, the atmospheric circulation patterns facilitating the transport of dust particles from their source regions over distances of thousands of kilometers downwind. Compared to ground-based measurements, satellite observations offer a more efficient way of determining key characteristics of aerosols at temporal and spatial scales that are needed to study and monitor aerosol impacts upon the climate system. The Modis sensor was used to detect the path of the phenomenon and to examine satellite images. Compared to other sensors, MODIS measures the entire earth's surface in 36 bands, covering from the visible band (0.415 micrometers) to the thermal infrared (14235 micrometers). The Modis sensor is a high radiometric resolution (12-bit) device which is carried by two American satellites, Terra and Aqua. The crossing time of the two Terra and Aqua satellites along the equator is at 10:30 and 13:30 local time. In this study, images of the MODIS visible True color band with a resolution of one kilometer on the date under study in the area were received from NASA. Aerosol Optical Depth (AOD) is one of the most important parameters in the study of dust. The Aerosol Optical Depth actually refers to the distribution of dust aerosols in the atmosphere. This wavelength-dependent quantity is defined as the decrease in light per unit length on a given path Aerosol Optical Depth (AOD) is the degree to which aerosol particles prevent the transmission of light. It is defined as the integrated extinction coefficient over a vertical column of unit cross-section. It is an indirect measurement of the size and number of concentrations of aerosol particles present in a given column of air. The spectral dependency of AOD contains information about the dominance of fine and coarse mode particles, the aerosol source regions, the modeling of aerosol radiative effects, the air quality (through monitoring of particulate matter), and the correction for aerosol effects in satellite remote sensing of the Earth’s surface. Aerosol Optical Depth (AOD) maps were obtained with a spatial resolution of 0.1 by 0.1 degree and were received at three-hour time intervals from the Barcelona Forecast Center for the study. After the dust storm was detected and the source areas were identified, the tracing of the dust particles to Mashhad was determined using the HYSPLIT mode. The HYSPLIT model, which is a dual model, was used to calculate the dust trajectory, dispersion, and simulate it. HYSPLIT is a complete model for computing trajectories, complex dispersion, and deposition simulations using either puff or particle approaches. It is plausible to detect transport pathways through monitoring the dust source region in HYSPLIT. Developed by National Oceanic and Atmospheric Administration (NOAA), it is a Lagrangian model. This model is widely used for air parcel dispersion, transportation, and deposition simulation. Results and discussion The results showed that the highest amount of dust storms is associated with Sabzevar with 136 mild storms and 79 severe storms and Sarakhs and Gonabad were in the next ranks. The dust phenomenon was observed case-by-case by detection and tracking that, this phenomenon has been formed in Turkmenistan in the early hours and affected Mashhad by penetrating the eastern borders of the country. According to satellite imagery, the origin of the dust storm in history has been in parts of Turkmenistan northeast of Mashhad. The output of HYSPILT maps shows good overlap with satellite imagery. This path has also been overlapped in AOD and Trajectory_Wind survey. In general, it can be stated that initially the primary dust cores were formed in the Turkmen desert and the density of dust increases as it moves west, and it has penetrated to the west and on the eastern borders of Iran and then to the city of Mashhad. Conclusion Dust storms are observed and recorded at meteorological stations as a weather phenomenon that is categorized according to the degree of visibility deterioration. In this study, the days with dust storm (observation code 30 to 35, present weather), the synoptic analysis of wind speed, horizontal visibility and weather conditions have been adopted. The results showed that the highest amount of dust storms is associated with Sabzevar with 79 severe storms and Sarakhs and Gonabad were in the next ranks. Studieswith the various methods have shown that initially the primary dust cores were formed in the Turkmen desert and the density of dust increases as it moves west, and it has penetrated to the west and on the eastern borders of Iran and then to the city of Mashhad. Keywords: Dust storm, Khorasan Razavi, MODIS, HYSPLIT. | ||
| کلیدواژه‌ها [English] | ||
| Dust storm, Khorasan Razavi, MODIS, HYSPLIT | ||
| مراجع | ||
|
اردبیلی، لیلا (۱۳۸۹). بررسی فرایندهای مؤثر در تشدید گردوغبار سالهای اخیر ایران، مجموعه مقالات همایش ملی فرسایش بادی و طوفانهای گرد و غبار یزد- ایران، ص ۲۴-49.
برتینا، ه.؛ صیاد، غ.؛ متینفر، ح. و حجتی، س. (1393). توزیع زمانی- مکانی ذرات معلق اتمسفری در غرب کشور بر مبنای دادههای طیفی سنجندة MODIS، نشریة پژوهشهای حفاظت آب و خاک، ۲۱(۴).
بروغنی، م.؛ مرادی، ح.؛ زنگنه اسدی، م. و پورهاشمی، س. (۱۳۹۸). ارزیابی نقش خشکسالی بر فراوانی وقوع گرد و غبار در استان خراسان رضوی، فصلنامة علوم و تکنولوژی محیط زیست، ۲۱(۵): ۱۰۹-۱۲۱.
رمضانی، ن. و جعفری، ر. (1389). تغییرات کاربری اراضی در ایجاد طوفانهای گرد و غبار و تأثیر آن بر تغییرات اقلیمی، مجموعه مقالات همایش ملی فرسایش بادی و طوفانهای گرد و غبار، یزد- ایران، ش 17.
رستمی د. و حسینی س. ا. (۱۳۹۷). واکاوی و ردیابی پدیدة گرد و غبار در جنوب و جنوب شرق ایران با استفاده از مدل HYSPLIT و اصول سنجش از دور، نشریة تحلیل فضایی مخاطرات محیطی، ۵(۳): 103-۱۱۹.
علیدادی، ح. (1390). منابع آلایندة هوا و اثر آن بر محیط زیست، چ ۲، انتشارات دانشگاه علوم پزشکی مشهد.
فلاح ززولی، م.؛ وفایینژاد، ع.؛ خیرخواه زرکش، م. و احمدی دهکاء، ف. (1393). پایش و تحلیل سینوپتیکی پدیدة گرد و غبار با استفاده از سنجش از دور و GIS (مطالعة موردی: گرد و غبار 18 ژوئن 2012)، نشریة اطلاعات جغرافیایی، 23(91): 69-80.
کرمی، س.؛ حسین حمزه، ن.؛ نوری، ف. و رنجبر، ع. (۱۳۹۸). بررسی همدیدی و شبیهسازی 2 طوفان همزمان گردوخاک در مناطق شرق و شمال شرقی ایران، کنفرانس بین المللی گرد و غبار در جنوب غرب آسیا، زابل، دانشگاه زابل.
Alam, K.; Qureshi, S. and Blaschke, T. (2011). Monitoring spatio-temporal aerosol patterns over Pakistan based on MODIS, TOMS and MISR satellite data and a HYSPLIT model. Atmospheric environment, 45(27): 4641-4651.
Alizadeh Choobari, O.; Zawar-Reza, P. and Sturman, A. (2014). The global distribution of mineral dust and its impacts on the climate system: A review. Journal of Atmospheric Research, 138: 152-165.
Draxler, R.R. and Rolph, G.D. (2003). HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory) Model access via NOAA ARL READY Website http://www.arl.noaa.gov/ready/ hysplit4.html
Huang, J.; Fu, Q.; Zhang, W.; Wang, X.; Zhang, R.; Ye, H. and Warren, S. G. (2011). Dust and black carbon in seasonal snow across northern China. Bulletin of the American Meteorological Society, 92(2): 175-181.
Kaskaoutis, D. G.; Kahn, R. A.; Gupta, P.; Jayaraman, A. and Bartzokas, A. (2012). Desert Dust Properties, Modelling, and Monitoring. Advances in Meteorology.
Miller, R. L.; Tegen, I. and Perlwitz, J. (2004). Surface radiative forcing by soil dust aerosols and the hydrologic cycle. Journal of Geophysical Research: Atmospheres, 109(D4).
Nabat, P.; Solmon, F.; Mallet, M.; Kok, J. F. and Somot, S. (2012). Dust emission size distribution impact on aerosol budget and radiative forcing over the Mediterranean region: a regional climate model approach. Atmospheric Chemistry & Physics Discussions, 12(7).
Namdari, S.; Valizade, K. K.; Rasuly, A. A. and Sarraf, B. S. (2016). Spatio-temporal analysis of MODIS AOD over western part of Iran. Arabian Journal of Geosciences, 9(3): 191.
Prasad, A. K.; Singh, S.; Chauhan, S. S.; Srivastava, M. K.; Singh, R. P. and Singh, R. (2007). Aerosol radiative forcing over the Indo-Gangetic plains during major dust storms. Atmospheric Environment, 41(29): 6289-6301.
Shao, Y., Yang, Y., Wang, J., Song, Z., Leslie, L. M., Dong, C., ... & Chun, Y. (2003). Northeast Asian dust storms: Real‐time numerical prediction and validation. Journal of Geophysical Research: Atmospheres, 108(D22).
WMO Manual of codes VolumeI.1-NO-306-(2009)
Xuan, J. and Sokolik, I. N. (2002). Characterization of sources and emission rates of mineral dust in Northern China. Atmospheric Environment, 36(31): 4863-4876.
Zakey, A. S.; Solmon, F. and Giorgi, F. (2006). Implementation and testing of a desert dust module in a regional climate model. Atmospheric Chemistry and Physics, 6(12): 4687-4704.
Zhang, D.F; Zakey A.S.; Gao, X.J. and Giorgi, F. (2008). Simulation of Dust aerosol and its regional feedbacks over East Asia using a regional climate model, Atmospheric Chemistry and Physics Discussions, 8: 4625-4667.
Zhang, D. F.; Zakey, A. S.; Gao, X. J.; Giorgi, F. and Solmon, F. (2009). Simulation of dust aerosol and its regional feedbacks over East Asia using a regional climate model. Atmospheric Chemistry and Physics, 9(4): 1095-1110.
Zhang, H.; Hoff, R. M. and Engel-Cox, J. A. (2009). The relation between Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth and PM2. 5 over the United States: a geographical comparison by US Environmental Protection Agency regions. Journal of the Air & Waste Management Association, 59(11): 1358-1369.
Zhao, C.; Liu, X.; Leung, L. R.; Johnson, B.; McFarlane, S. A.; Gustafson Jr, W. I. ... and Easter, R. (2010). The spatial distribution of mineral dust and its shortwave radiative forcing over North Africa: modeling sensitivities to dust emissions and aerosol size treatments. Atmospheric Chemistry and Physics, 10(18): 8821-8838.
Zhao, C.; Liu, X.; Ruby Leung, L. and Hagos, S. (2011). Radiative impact of mineral dust on monsoon precipitation variability over West Africa. Atmospheric Chemistry and Physics, 11(5): 1879-1893.
Zhao, S.; Zhang, H.; Feng, S. and Fu, Q. (2015). Simulating direct effects of dust aerosol on arid and semi-arid regions using an aerosol-climate coupled system. International Journal of Climatology, 35(8): 1858-1866. | ||
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