همکاری با انجمن علمی مدیریت و کنترل مناطق بیابانی ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، گروه احیاء مناطق خشک و کوهستانی، دانشکده منابع طبیعی، دانشگاه تهران، کرج، ایران

2 دانشجوی دکترا بیابانزدایی، گروه احیاء مناطق خشک و کوهستانی، دانشکده منابع طبیعی، دانشگاه تهران، کرج، ایران

3 استاد، گروه احیاء مناطق خشک و کوهستانی، دانشکده منابع طبیعی، دانشگاه تهران، کرج، ایران

4 دانشیار پژوهشکده هواشناسی و علوم جو، سازمان هواشناسی کشور، تهران، ایران

5 استاد موسسه تحقیقاتی هواشناسی ایتالیا

چکیده

پدیده گردوغبار به دلیل ارتباط تنگاتنگی که با سلامت عمومی جامعه دارد از اهمیت خاصی برخوردار است. محققان زیادی به دنبال روش­های کاهش اثرات مضر این پدیده هستند. به همین منظور داشتن اطلاعات کافی درباره ماهیت الگوی مکانی و زمانی این پدیده برای همه پژوهشگران از اهمیت خاصی برخوردار است. پدیده گردوغبار از خطرات طبیعی و مرسوم فلات مرکزی ایران است. در این مطالعه با استفاده از کدهای 06 و 07 اخذشده از 50 ایستگاه سینوپتیک واقع‌شده در منطقه موردمطالعه به واکاوی آماری در مقیاس سالانه و ماهانه در دوره آماری 2006 الی 2018 پرداخته شد. همچنین الگوی مکانی روزهای گردوغبار با دیدهای افقی کمتر از 1000 متر ، 1000 تا 1500 متر و 1500 تا 3000 متر در منطقه موردمطالعه ترسیم شد. نتایج نشان داد در دید افقی کمتر از 1000 متر،  ایستگاه زاهدان با 113 روز و همچنین ایستگاه طبس با 91 روز گردوغبار از فراوانی بالاتری برخوردار هستند. ضمناً ایستگاه­های زاهدان و شهر رضا با تعداد روزهای گردوغبار 91 و 55 روز با دید افقی بین 1000 تا 1500 متر نیز دارای بالاترین فراوانی روزهای گردوغبار در منطقه موردمطالعه بودند. همچنین نتایج نشان داد که ایستگاه­های سینوپتیک طبس با 661 روز ، اراک با 528 روز و زاهدان با 511 روز گردوغبار بادید افقی 1500 تا 3000 متر در دوره آماری مطالعه (2018-2006) از اهمیت بالاتری برخوردار هستند. همچنین نتایج بررسی فصلی روزهای گردوغبار در دوره آماری مدنظر، نشان داد، فصل بهار با بیش از 46 درصد بیشترین وقوع گردوغبار را داشته است. واکاوی آماری ماهانه مشخص گردید، بیشترین رخداد گردوغبار در خرداد و اردیبهشت‌ماه ثبت‌شده است. نتایج بررسی پهنه­بندی تغییرات مکانی روزهای گردوغبار نشان داد با توجه به گستردگی منطقه الگوی مکانی منظمی وجود ندارد. اما به‌طورکلی در هر سه‌سطح دید افقی تمرکز این پدیده بیشتر قسمت­های جنوب شرقی منطقه موردمطالعه است.

کلیدواژه‌ها

عنوان مقاله [English]

Analyzing the temporal and spatial variations of dust days in the central plateau of Iran

نویسندگان [English]

  • Tayebeh Mesbahzadeh 1
  • Farshad Soleimani Sardoo 2
  • Ali Salajeghe 3
  • Gholamreza Zehtabian 3
  • Abbas Ranjbar 4
  • Mario Marcello Miglietta 5

1 Associate Professor, Department of Rehabilitation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran

2 Ph.D. Student of De- desertification, Department of Rehabilitation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran

3 Professor, Department of Rehabilitation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran

4 Associate Professor of Meteorological Institute of Iran Meteorological Organization, Tehran, Iran

5 Professor, Institute of Atmospheric Sciences and Climate of the Italian National Research Council (ISAC-CNR), corso Stati Uniti 4, Padova, Italy

چکیده [English]

The dust phenomenon is of particular importance because of its close association with public health. Many researchers are looking for ways to reduce the harmful effects of this phenomenon. To this end, having information about the nature of the spatial and temporal pattern of this phenomenon is of particular importance to all researchers. Dust is one of the natural hazards of the central Iranian plateau. In this study, statistical analysis was performed on a yearly and monthly basis in the period 2006 to 2018 using codes 06 and 07 obtained from 50 synoptic stations located in the study area. Also the spatial pattern of dust days with horizontal views less than 1000 m, 1000 to 1500 m and 1500 to 3000 m in the study area was plotted. The results also showed that Tabas synoptic stations with 661 days, Arak with 528 days and Zahedan with 511 days with 1500 to 3000 m horizontal view were more important in the study period. Also, the results of seasonal survey of dust days in the statistical period showed that spring with more than 42% had the highest occurrence of dust. The results showed that in the horizontal view of less than 1000 m, Zahedan station with 113 days and Tabas station with 91 days of dust had higher frequency. Meanwhile, Zahedan and Shahreza stations with 91 and 55 days of dust with a horizontal view of 1000 to 1500 meters also had the highest frequency of dust days in the study area. Monthly statistical analysis revealed that most of the dust events were recorded in June and May. The results of spatial variation of dust days showed that there is no regular spatial pattern due to the extent of the area but in general in all three classes of horizontal view the focus of this phenomenon is most of the southeastern part of the study area.

کلیدواژه‌ها [English]

  • Dust Days
  • Temporal and Spatial Variations
  • Central Plateau of Iran
  1. Abbasi, H. R., Opp, C., Groll, M., Rohipour, H. and Gohardoust, A., 2019. Assessment of the Distribution and Activity of Dunes in Iran based on Mobility Indices and Ground Data. Aeolian research Journal, 41(100539). Pp. 1-17
  2. Alfaro, S.C., 2008. Influence of soil texture on the binding energies of fine mineral dust particles potentially released by wind erosion. Journal of Geomorphology,  93( 3–4)  Pp. 157-167
    1. Azadi, S.; Soltani Kopaei, S.; Faramarzi, M.; Soltani Tudeshki, A.; Pornmanafi, S. 2015. Evaluation of the Palmer Drought Index in Central Iran. J. Water Soil Sci, 19, Pp.305–318.
  3. Bahiraie, H,. Rajaie, M, A. and Ahmadi, A., 2011. Synoptic statistical analysis of the phenomenon of dust in Ilam. Journal - New Research Approaches in Human Geography, 4(1) Pp. 47-67
  4. Buschiazzo, D.E., Zobeck, T.M., 2008. Validation of WEQ, RWEQ and WEPS wind erosion for different arable land management systems in the Argentinean Pampas. Earth Surf. Process. Lands. 33, Pp.1839-1850.
  5. Chadwick, O.A., Derry, L.A., Vitousek, P.M., Huebert, B.J., Hedin, L.O., 1999. Changing sources of nutrients during four million years of ecosystem development. Nature 397, Pp. 491-497.
  6. Chappell, A., Sanderman, J., Thomas, M., Read, A., Leslie, C., 2012. The dynamics of soil redistribution and the implications for soil organic carbon accounting in agricultural south-eastern Australia. Glob. Chang. Biol. 18, Pp.2081-2088.
  7. Ebrahimi, S.J., Ebrahimzadeh, L., Eslami, A., Bidarpoor, F., 2014. Effects of dust storm events on emergency admissions for cardiovascular and respiratory diseases in Sanandaj, Iran. J. Environ. Health Sci. Eng. 12, 110.Pp.1-5
  8. Farajzadeh Asl, M., Alizadeh, Kh.,2011. Spatial analysis of dust storm in Iran. The Journal of Spatial Planning, 15 (1), Pp. 65-84

10. Goodarzi, m., Hoseini, SA., Ahmadi, H., 2018, Investigation of Temporal and Spatial Distribution of Days with Dust in the West and Southwest of Iran ., Iran-Watershed Management Science & Engineering , 11( 39),  Pp. 1-10

11. Goudie, A., 2014. Review Desert dust and human health disorders. The Journal of Environment International, 63(3), Pp. 101-113

12. Goudie, A., Middleton, N.J., 2006. Desert Dust in the Global System. Springer Science and Business Media.

13. Gregory, J.M., Wilson, G.R., Singh, U.B., Darwish, M.M., 2004. TEAM: integrated, process-based wind-erosion model. Environ. Modell. Softw. 19, Pp.205-215.

14. Hamidi, M., Kavianpour, M. R. and Shoa, Y., 2013.Synoptic analysis of dust storms in the middle east.Asia- Pacific Journal of Atmospheric Sciences, 49(3), Pp.279-286.

15. Hoffmann, C., Funk, R., Reiche, M., Li, Y., 2011. Assessment of extreme wind erosion and its impacts in Inner Mongolia, China. Aeolian Res. 3, Pp.343-351.

16. Jafari M, Zehtabian G, Mesbahzadeh T,. 2019. Statistical analysis of the dust storm phenomenon (case study: Isfahan). Iranian Journal of Range and Desert Research, 25 (4), Pp.863-876

17. Jafari, M., Zehtabian, Gh., Ahmadi, H., Mesbahzadeh. T., Noroozi, A., 2019. Detection of dust storm paths using numerical models and satellite images (Case study: Isfahan province). Iranian Journal of Range and Desert Research, 26 (1),  Pp. 29-39

18. Jickells, T.D., An, Z.S., Andersen, K.K., Baker, A.R., Bergametti, G., Brooks, N., Cao, J.J., Boyd, P.W., Duce, R.A., Hunter, K.A., Kawahata, H., Kubilay, N., laRoche, J., Liss, P.S., Mahowald, N., Prospero, J.M., Ridgwell, A.J., Tegen, I., Torres, R., 2005. Global iron connections between desert dust, ocean biogeochemistry, and climate. Science 308, Pp. 67-71.

19. Li, J., Okin, G.S., Alvarez, L., Epstein, H., 2007. Quantitative effects of vegetation cover on wind erosion and soil nutrient loss in a desert grassland of southern New Mexico, USA. Biogeochemistry 85, Pp.317-332

20. Lyles, M., Fredrickson, H., Bednar, A., Fannin, H., Griffin, D., Sobecki, T., 2012. Medical geology in the Middle East: potential health risks from mineralized dust exposure. EGU Gen. Assembly Conf. Abstract., 1668

21. Miller, R.L., Perlwita, J., Tegen, I., 2004. Feedback upon dust emission by dust radiative forcing through the planetary boundary layer. J. Geophys. Res. Atmos. 109, D24209.Pp.1-17

22. Naderi, M. and E. Raeisi. 2015. Climate change in a region with altitude differences and with precipitation from various sources, South-Central Iran. Theor. Appl. Climatol. J. 3, Pp. 529-540.

23. Prakash, J.P., Stenchikov, G., Kalenderski, S., Osipov, S., Bangalath, H., 2014. The impact of dust storms on the Arabian Peninsula and the Red Sea. Atmospheric Chemistry & Physics Discussions 14, Pp.19181–19245.

24. Rashki, A., Kaskaoutis, D. G., Goudie, A. S. and Kahn, R. A., 2013. Dryness of ephemeral lakes and consequences for dust activity: The case of the Hamoun drainage basin, southeastern Iran. The Journal of Science of the total environment, 434(3), Pp.552-564

25. Reynolds, R., Belnap, J., Reheis, M., Lamothe, P., Luiszer, F., 2001. Aeolian dust in Colorado Plateau soils: nutrient inputs and recent change in source. P. Natl. Acad. Sci. U. S. A. 98, Pp.7123-7127.

26. Rezazadeh, M., Irannejad, P. and Shao, Y., 2013. Climatology of the middle dust events. Journal of Aeolian Research, 10, Pp.103-109.

27. Shao, Y. Dong, C.H. 2006. A review on East Asian dust storm climate, modelling and monitoring. Global and Planetary Change 52 Pp.1–22

28. Shao, Y., Wyrwoll, K.-H., Chappell, A., Huang, J., Lin, Z., McTainsh, G.H., Mikami, M., Tanaka, T.Y., Wang, X., Yoon, S., 2011. Dust cycle: An emerging core theme in Earth system science. Aeolian Research 2, Pp.181–204.

29. Sohrabi, T., Ranjbar Fordoei, A., Vali, A., and Mousavi, H. 2019. Statistical modeling of dust storms using Poisson regression model in Isfahan Province. Iranian Journal of Range and Desert Research, 26(3). Pp.689-703

30. Tegen, I., Fung, I., 1994. Modeling of mineral dust in the atmosphere: sources, transport, and optical thickness. J. Geophys. Res. Atmos. 99(22), Pp.897-914.

31. Webb, N.P., McGowan, H.A., Phinn, S.R., Leys, J.F., McTainsh, G.H., 2009. A model to predict land susceptibility to wind erosion in western Queensland, Australia. Environ. Modell. Soft. 24, Pp.214-227.