Trend analysis of dusty days frequency in Eastern parts of Iran associated with Climate Fluctuations

Authors

10.22052/deej.2018.7.18.1

Abstract

Introduction: The occurrence of dust storms in deserts or arid regions increases the suspended dust particles to more than the allowed threshold, and this has negative effects on atmospheric conditions, human health and agricultural production. Positioning of Iran in the world arid and semi-arid belt is exposed to various types of dust storm systems. Occurrence of severe dust storms in most parts of the world, especially in areas of east and southeast of Iran has disrupted people's lives and caused human and financial losses. As a result, increasing information on the dust storm variation and trend with using long-term observational data and evaluation of its relationship with other climatic parameters in the eastern part of Iran may help identify areas of crisis in terms of the occurrence of this phenomenon in the future, therefore it is useful for taking environmental management decisions and preparing to deal with dust storms.
 
Materials and Methods: In order to carry out this research, data of‌ number of dusty days, temperature, precipitation, and wind speed of 31 weather stations in eastern Iran with a statistical period of 66 years (1951 to 2016) have been used. According to the World Meteorological Organization, dusty day is defined as the day in which, at least one code related to dust (including codes 06, 07, 30 to 35 and 98) has been reported in the present weather group (WW) among dust 8 SYNOPs reported from weather stations. Considering the above instructions, first data of number of days with dust in annual scale was provided. Then, the processes related to the averaging, spatial distribution and temporal variation of frequency of dusty days were performed. In order to study the decadal variation of dust storms, both regional averages and data of reference stations are divided into six decades and analyzed with averaging and charting processes. In the next step, to evaluate existence of trend in dusty day frequencies in eastern Iran, two non-parametric statistics of Mann-Kendall and Sen's Estimator Slop tests were used. Finally, to investigate the relationship between climate parameters and dusty days frequency in the region, Spearman correlation coefficient test was used.
 
Results: The highest and lowest activity of dust storms in study area was in 1971 and 1954 years with average of 58 and 7 days respectively during 1951 to 2016. Despite the relatively large regional differences,‌ the annual variation of the average dusty days in eastern Iran has not been significant particularly since 1960, and often remains about 40±8 days per year. Decadal variation of dusty days indicates an increase in the number of storms in current decade, but geographic extent of storm activity is limited to the south east.
The results of Mann-Kendall trend test indicate a significant increase in dusty days of Zahedan, Iranshahr, Tabas, Garmsar, Chabahar, Gorgan, Tabas and Sarakhs stations at 0.01 or 0.05 confidence levels, so that highest increasing rate was calculated in Iranshahr, Tabas, Zahedan, Gorgan and Sarakhs stations with 1.35, 0.96, 0.78 and 0.52 days per decade, respectively. Although Zabul, Zahak, Bojnourd and Gonabad stations have the most frequency of dusty days but they showed nonsignifican increasing trend. Investigating the relationship between dust storm frequencies with precipitation, temperature and wind speed results showed that dust storm in the eastern Iran show negative correlation coefficient on annual precipitation fluctuations. In contrast a direct significant relationship between dusty days with annual temperature and wind speed at most stations were revealed.
 
Discussion and Conclusion: The results of this study suggested that the Eastern Iran has no homogeneity in terms of frequency of dust and its process, so that it increases from north to south and from west to east. Based on the results ‌obtained by combining two methods of Sen’s Estimator Median and Mann-Kendall, there is an increasing trend in most regions, but its focus is more in South, Southeast and Central regions. Dust storms activity increase is a symbol of the dominance of desert ecosystem and implies the spread of desertification in these areas. These regions have dry climate and flat topography, low altitude and sparse vegetation. Also, stations with a significant downward trend, are mainly located in‌ Northeast Iran, where have less dust storms. Distance from the dust resources and being located in mountainous areas, as well as the expansion of cities (meteorological stations are located on their margins) can be a factor in the reduction of dust days in the northern regions. Of course, in a number of Southern stations, which have a lot of dusty storms, the trend was also downward. Finding the cause of such a downward trend requires further investigation. The worrisome issue is that in some areas (such as Kashmar, Damghan and Garmsar), where dust storm isn’t dominant climatic phenomenon, it’s likely that in future years, with increasing storm events, dusty storms be added to their climatic landscape. Also, in areas where dust storms occur with a relatively high frequency (including Chabahar, Zahedan and Tabas) increasing number of dusty days‌ may create additional environmental problems. Correlation coefficients of climatic parameters with number of dusty days showed highest relationship with speed wind. With this interpretation, the most effective climatic controller of dust storms frequencies in East Iran is wind speed, which is a function of synoptic systems and regional pressure and temperature gradients. Given that the 120-day winds are the main cause of dust storm in the study area in warm period of year, and also the temperature gradient in this times is more than cold period, as a result, with warming of air and end of rainy season in warm period, climatic conditions is suitable for severe wind flows. These conditions, along with soil dryness and lack of vegetation provide favorable conditions for wind erosion and dust storm. It should be noted that the most effective environmental factor in Eastern Iran dust storms activity, is intensifying of speed and expanding spatial range as well as increasing activity duration of Sistan regional winds from 120 to 165 days.

Keywords


1. Ahmadi, Z., Doostan, R., Mofidi, A., 2015. An Analysis of Semi-arid of the Year in South Khorasan Province. Natural History Series 8 (29), 61-41. (in Persian) 2. Akhlaq, M., Sheltami, T.R., Mouftah, H.T., 2012. A review of techniques and technologies for sand and dust storm detection. Reviews in Environmental Science and Biotechnology 11 (3), 305–322. 3. Alizadeh Choobari, O., Zawar-Reza, P., Sturman, A., 2014. The global distribution of mineral dust and its impacts on the climate system: A review. Atmospheric Research 138 (1), 152-165. 4. Alijani, B., Raispour, K., 2011.Statistical, Synoptical analysis of Sand Storms in SE Iran (Study Case: Region of Sistan). Journal of Arid Regions Geographics Studies 2 (5), 132-107. 5. Amgalan, G., Liu, G-R., Lin, T-H., Kuo, T-H., 2017. Correlation between dust events in Mongolia and surface wind and precipitation, Terr. Journal of Atmospheric & Ocean Science 28 (1), 23-32. 6. Azizi, Gh., Shamsipour, A.A., Miri, M., Safarrad, T., 2012. Dust analysis in southwestern Iran, Journal of Environmental Studies38 (3), 134-123. 7. Cannarozzo, M., Noto, L.V., Viola, F., 2006. Spatial Distribution of Rainfall Trends in Sicily, Journal of Physics and Chemistry of the Earth 31, 1201-1211. 8. Cao, R., Jiang, W., Yuan, L., Wang, W., Lv,Z., Chen, Z., 2014. Inter-annual variations invegetation and their response to climaticfactors in the upper catchments of the YellowRiver from 2000 to 2010. Journal of Geographical Sciences 24 (6), 963-979. 9. Colditz, R.R., Ressl, R.A., Bonilla-Moheno, M., 2015. Trends in 15-year MODIS NDVI time series for Mexico. 8th International Workshop on the Annecy, France. 10. Farajzadeh Asl, M., Alizadeh, Kh.,2011. Spatial Analysis of Dust storm in Iran. The Journal of Spatial Planning 15 (1),65-84. (in Persian) 11. Fensholt, R. and Proud, S.R., 2012. Evaluation of earth observation based global long term vegetation trends—Comparing GIMMS and MODIS global NDVI time series. Remote sensing of Environment 119,131-147. 12. Goudie, A., 2014. Review Desert dust and human health disorders. Journal of Environment International 63 (3), 101-113. 13. Grineski, S. E., Staniswalis, J.G., Bulathsinhala, P., Peng Y., Gill, T.E., 2011. Hospital admissions for asthma and acute bronchitis in El Paso, Texas: do age, sex, and insurance status modify the effects of dust and low wind events, Environmental Research 111 (8), 1148–1155. 14. Guhathakurta, P., Preetha, M., Mazumdar,A.B., Sreejith, O.P., 2010. Changes in extreme rainfall events and flood risk in India during the last century. National Climate Centre, Research Report 3, 1-20. 15. Hahnenberger, M., Nikoul, K., 2014. Geomorphic and land cover identification of dust sources in the eastern Great Basin of Utah, U.S.A. Journal of Geomorphology 204 (2), 657-672. 16. Hamed, K. H., Rao, A. R., 1998. A modified Mann-Kendall trend test for autocorrelated data. Journl. of Hydrology 204 (1-4), 182-196. 17. Hamzeh Hossein, N., Fattahi, I., Zoldehdi, M., Ghaffarian, P., Ranjbar, A., 2016. Synoptic and Dynamic Analysis of Dust and its Simulation in Southwest of Iran in the summer of 2005. Spatial Analysis of Environmental Hazards 1, 102-91. ( in Persian) 18. Hansell, R.A., Tsay, S.C., Ji, Q., Hsu, C.N., Jeong, M.G. Wang, S.H., 2010. An assessment of the surface long wave direct radioactive effect of airborne Saharan dust during the NAMMA field campaign. Journal of Atmospheric Sciences 67 (4), 1048–1065. 19. Herweijer, C., Seager, R., Cook, K., Geay, E., 2013. North American Droughts of the Last Millennium from a Gridded Network of Tree-Ring Dates, Lamont-Doherty Earth Observatory. Drying Technology: An International Journal 31)15 ), 134-142. 20. Iranmanesh, F., 2005, Investigation of dust origins and characteristics of their spreading in Sistan's storms, Iran region, using image processing. Pajouhesh & Sazandegi 67,25-33. (in Persian) 21. Jiang, W., Yuan, L., Wang, W., Cao, R., Zhang, Y., Shen, W., 2015. Spatio-temporal analysis of vegetation variation in the Yellow River Basin. Ecological Indicators 51, 117-126. 22. Johnston, F., Hanigan, I., Henderson, S., Morgan, G., Bowman, D., 2011. Extreme air pollution events from brushfires and dust storms and their association with mortality in Sydney, Australia 1994–2007. Environmental Research 111 (12), 811–816. 23. Juraj M. C., Taha B. M. J. O., 2009. Trends in the Timing and Magnitude of Floods in Canada. Journal of Hydrology 375, 471-480. 24. Kang, L., Huang, J., Chen, S., Wang, X., 2016. Long-term trends of dust events over Tibetan Plateau during 1961- 2010. Atmospher Environment 125, 188-198. 25. Lawrence,C.R., Neff, J.C., 2009. The contemporary physical and chemical flux of aeolian dust, A synthesis of direct measurements of dust deposition. Chemical Geology 267, 46-63. 26. Li, X.Y., Wang, J.H., Liu, L.Y., 2002. Wind Tunnel Simulation Experiment on the Erodibility of the Fixed Aeolian Sandy Soil by Wind, Proceedings of ICAR5/GCTE-SEN Joint Conference. International Center for Arid and Semiarid Lands Studies, Texas Tech University, Lubbock, Texas.. 27. Lunetta, R.S., Knight, J.F., Ediriwickrema, J., Lyon, J.G., Worthy, L.D., 2006. Land-cover change detection using multi-temporal MODIS NDVI data. Remote sensing of environment 105 (2), 142-154. 28. Mahowald, N.M., Bryant, R.G., Del Corral, J., Steinberger, L., 2003. Ephemeral lakes and desert dust sources. Geophysical Research Letters 30 (2), 1074-1083. 29. Mei, D., Xiushan, L., Lin. S., Ping, W., 2008. A Dust Storm Process Dynamic Monitoring with Multi-Temporal MODIS data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science 37, 965-970. 30. Mohammadi, G, H., 2015. Analysis of Atmospheric Mechanisms in Dust Transport over West of Iran.Ph.D thesis, Tabriz University, 142pp. ( in Persian) 31. Onoz, B., Bayazit, M., 2003. The power of statistical tests for trend detection. Turkish Journal of Engineering Environmental Science 27, 247-251. 32. Press, V., Teukolsky, F., 1992. Numerical Recipes in C: The Art of Scientific Computing (2nd ed.). Journal of Simulation 31 (1), 640. 33. 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 totalozone mapping spectrometer absorbing aerosol product. Reviews of Geophysics. 40 (1), 2–31. 34. Rashki , A., Kaskaoutis ,D.G., Francois, P., Kosmopoulos, P.G., Legrand, M., 2015. Dust-storm dynamics over Sistan region, Iran: Seasonality, transport characteristics and affected areas. Aeolian Research 16, 35–48. 35. Rashki, A., Kaskaoutis, D.G., Goudie, A.S., Kahn, R.A., 2013. Dryness of ephemeral lakes and consequences for dust activity: The case of the Hamoun drainage basin, southeastern Iran. Science of the total environment 434 (3), 552.564. 36. Rezazadeh, M., Irannejad, P., Shao, Y., 2013. Climatology of the Middle East dust events. Aeolian Research, 103-109. ( in Persian) 37. Sari Sarraf, B., Rasouli1, A. A., Mohammadi GH.H., Hoseini Sadr, A., 2016. Long-term trends of seasonal dusty day characteristics—West Iran. Arab Journal Geoscience, 9 (563), 1-10. 38. Shao, Y., Wyrwoll, K.H., Chappell, A., Huang, J., Lin, Z., McTainsh, G.H., 2011. Dust cycle: anemerging core theme in Earth system science. Aeolian Research 2 (4), 181–204. 39. Shong Chok.,N., 2010. Pearson’s Versus Spearman’s and Kendal’s Correlation Coefficients For Continuous Data. M.Sc. thesis, University Of Pittsburgh, 43pp. 40. Ta, W.H., Xiao, J., Xiao, G., Yang, T., Zhang, X., 2004. Measurements of Dust Deposition in Gansu Province China 1986-2000. Geomorphology 57, 41-51. 41. Tan, M., Li, X., Xin, L., 2014. Intensity of dust storms in China from 1980 to 2007: A new definition. Atmospheric Environment 85, 215-222. 42. Tavoosi, T., Zahraei, A., 2014. Sistan and Balouchestan Province Based on Extrapolation of Time Series Curves. Journal of Management System 1, pp. 157 -139. ( in Persian) 43. Valenzuela, A., Olmo, F.J., Lyamani, H., Antón, M., Quirantes, A., Alados-Arboledas, L., 2012.Aerosol radiative forcing during African desert dust events (2005–2010) over South-EasternSpain. Atmospheric Chemistry and Physics 12 (3), 593–622. 44. Waldhauserova, P. D., Arnalds, O., Olafsson, H., 2013. Long-term frequency and characteristics of dust storm events in Northeast Iceland (1949–2011). Atmospheric Environment 77, 117–127. 45. Wang Tianming, L. A., Shichang, K., Pang Deqian, L. A., 2009. On The Relationship between Global Warming and Dust Storm Variation in China, International Conference on Environmental Science and Information Application Technology, Wuhan, China. 46. Xingkui, Xu., Levy Jason, k., Zhahohui, Lin., Hong, chen., 2006. An Investigation of Sand-Dust Storm Vents and Land Surface Characteristic in China Using NOAA NDVI Data. Global and Planetary Chainge 52, 182-196. 47. Xuan, J., Gualiang, L., Du, K., 2000. Dust Emission Inventory in Northern China. Atmospheric Environment, 34, 4565 70. 48. Yue, S., Pilon, P., Cavadias, G., 2002. Power of the Mann-Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. Journal of. Hydrologhyn259, 254–271. 49. Zanganeh, M., 2014. Climatological Analysis of Dust Storms in Iran. Applied Climatology 1 (1), 12-1. ( in Persian) 50. Zeinali, B ., 2016. Investigation of frequency changes trend of days with dust storms in western half of Iran. Journal of Natural Environment hazards 5 (7), 100-87. (in Persian).