Examining the Effect of Salt Dust Storms of Lake Urmia on Vegetation

Document Type : Research Paper

Authors

1 Department of Geography, Marand Branch, Islamic Azad University, Marand, Iran.

2 Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, Iran.

Abstract

Urmia Lake is one of the largest saline lakes in the world, which has greatly decreased in recent years. It has created many dangers and concerns especially concerning salt dust in its arid areas. Therefore, this research aimed to investigate the relationship between vegetation and dust in the cities around Lake Urmia. For this purpose, first, using MODIS images and NDVI index, changes in the vegetation of the region in 2010 to 2020 were determined, and then, using the MERRA-2 database, the dust concentration was extracted for the mentioned years. The results showed that the mean NDVI in the study area follows a steady trend with a total mean of 0.2957 and sometimes increases or decreases due to the influence of external factors such as dust. Accordingly, the highest rate (0.3495) of the average NDVI is related to 2018 and the lowest rate (0.2579) is related to 2013. Furthermore, to investigate the relationship between vegetation and dust, two methods of linear and logarithmic regression were used. Based on linear regression (0.7703) and logarithmic (0.7153), the findings showed that the highest determination coefficient between the two indicators was in May.

Keywords


  1. Xi, X., Sokolik, I.N., 2016. Quantifying the anthropogenic dust emission from agricultural land use and desiccation of the Aral Sea in Central Asia. J. Geophys. Res. 121, 12–270.
  2. Indoitu, R., Kozhoridze, G., Batyrbaeva, M., Vitkovskaya, I., Orlovsky, N., Blumberg, D., Orlovsky, L., 2015. Dust emission and environmental changes in the dried bottom of the Aral Sea. Aeolian Res. 17, 101–115.
  3. Issanova, G., Abuduwaili, J., Galayeva, O., Semenov, O., Bazarbayeva, T., 2015. Aeolian transportation of sand and dust in the Aral Sea region. Int. J. Environ. Sci. Technol. 12, 3213–3224.
  4. Löw, F., Navratil, P., Kotte, K., Schöler, H.F., Bubenzer, O., 2013. Remote-sensing-based analysis of landscape change in the desiccated seabed of the Aral Sea—a potential tool for assessing the hazard degree of dust and salt storms. Environ. Monit. Assess. 185, 8303–8319.
  5. Borlina, C.S., Rennó, N.O., 2017. The Impact of a Severe Drought on Dust Lifting in California's Owens Lake Area. Sci. Rep. 7, 1784.
  6. Moore, J.N., 2016. Recent desiccation of western Great Basin saline lakes: lessons from Lake Abert, Oregon, USA. Sci. Total Environ. 554, 142–154.
  7. Sweeney, M.R., Zlotnik, V.A., Joeckel, R.M., Stout, J.E., 2016. Geomorphic and hydrologic controls of dust emissions during drought from Yellow Lake playa, West Texas, USA. J. Arid Environ. 133, 37–46.
  8. Strong, C.L., Parsons, K., McTainsh, G.H., Sheehan, A., 2011. Dust transporting wind systems in the lower Lake Eyre Basin, Australia: a preliminary study. Aeolian Res. 2, 205–214.
  9. Behrooz, R.D., Esmaili-Sari, A., Bahramifar, N., Kaskaoutis, D.G., Saeb, K., Rajaei, F., 2017. Trace-element concentrations and water-soluble ions in size-segregated dustborne and soil samples in Sistan, Southeast Iran. Aeolian Res. 25, 87–105.
  10. Rashki, A., Eriksson, P.G., Rautenbach, C.D.W., Kaskaoutis, D.G., Grote, W., Dykstra, J., 2013. Assessment of chemical and mineralogical characteristics of airborne dust in the Sistan region, Iran. Chemosphere. 90, 227–236.
  11. Rashki, A., Kaskaoutis, D.G., Eriksson, P.G., Qiang, M., Gupta, P., 2012. Dust storms and their horizontal dust loading in the Sistan region, Iran. Aeolian Res. 5, 51–62.
  12. Ahmady-Birgani, H., Ravan, P., Schlosser, J. S., Cuevas-Robles, A., AzadiAghdam, M., & Sorooshian, A. (2020). On the chemical nature of wet deposition over a major desiccated lake: Case study for Lake Urmia basin. Atmospheric Research, 234, 104762.
  13. Yan, Y., Xu, X., Xin, X., Yang, G., Wang, X., Yan, R., & Chen, B. (2011). Effect of vegetation coverage on aeolian dust accumulation in a semiarid steppe of northern China. Catena, 87(3), 351-356.
  14. Fan, B., Guo, L., Li, N., Chen, J., Lin, H., Zhang, X., Shen, M., Rao, Y., Wang, C. and Ma, L., (2014). Earlier vegetation green-up has reduced spring dust storms. Scientific reports, 4, 6749.
  15. Tan, M. (2016). Exploring the relationship between vegetation and dust-storm intensity (DSI) in China. Journal of Geographical Sciences, 26(4), 387-396.
  16. Sofue, Y., Hoshino, B., Demura, Y., Kai, K., Baba, K., Nduati, E., Kondoh, A. and Sternberg, T., (2018). Satellite monitoring of vegetation response to precipitation and dust storm outbreaks in Gobi Desert Regions. Land, 7(1), p.19.
  17. Khusfi, Z.E., Roustaei, F., Ebrahimi Khusfi, M., & Naghavi, S. (2019). Investigation of the relationship between dust storm index, climatic parameters, and normalized difference vegetation index using the ridge regression method in arid regions of Central Iran. Arid land research and management, 1-25.
  18. Khusfi, Z. E., Khosroshahi, M., Roustaei, F., & Mirakbari, M. (2020). Spatial and seasonal variations of sand-dust events and their relation to atmospheric conditions and vegetation cover in semi-arid regions of central Iran. Geoderma, 365, 114225.
  19. Bahrami, Hossein Ali; Jalali, Mahboubeh; Darvishi Blourani, Ali; Azizi, Rasoul (2013), Spatial-temporal modeling of occurrence of dust storms in Khuzestan province, Remote Sensing and GIS of Iran, Volume 5, Number 2, 95-114.
  20. Pourhashemi, Sima; Boroughni, Mehdi; Zanganeh Asadi, Mohammad Ali; Amira Ahmadi, Abolghasem, (2015), Analysis of vegetation relationship on the occurrence of dust in Khorasan Razavi province using GIS and remote sensing, remote sensing and GIS in natural resources, Year 6, Number 4, 33-45.
  21. Sohrabi, Tayebeh Sadat; Wali, Abbas Ali; Ranjbar Fardavi, Abolfazl; Mousavi, Seyed Hojjat, (2015), Quantitative Analysis of Vegetation Feedback on Dust Occurrence in Arid Ecosystems (Case Study: Isfahan Province), Rangeland and Watershed Management, Iranian Journal of Natural Resources, Volume 71, Number 41, 973-985.
  22. Ghadimi, Mehrnoosh; Zare, Amin; Maqbal, Masoumeh; Sahebi, Mahmoud Reza, (1398), Evaluation of the effects of dust on the spectral behavior of plants using remote sensing data, Journal of Surveying Science and Technology, Volume 8, Number 4, 163-176.
  23. Teillet, P. M., Staenz, K., Willams, D. J., 1997, Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions, Remote Sensing of Environment 61: pp. 139–149.
  24. Thenkabail, P. S., Gamage, M. S. D. N., Samakhtin, V, U., 2002, Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization, Photogrammetric Engineering and Remote Sensing 68: pp.607–621.
  25. Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J. T., Liu, E., Bosilovich, M. G., and Woollen, J., 2011, MERRA: NASA’s modern-era retrospective analysis for research and applications: Journal of Climate, 24, 3624–3648.
  26. Molod, A., L. Takacs, M. Suarez, J. Bacmeister, 2015, Development of the GEOS-5 atmospheric general circulation model: Evolution from MERRA to MERRA2. Geoscientific Model Development, 8; 1339-1356.
  27. Real-Rangel, R., Pedrozo-Acuña, A., Breña-Naranjo, J. A., and Alcocer-Yamanaka, V., 2017, Evaluation of the hydroclimatological variables derived from GLDAS-1, GLDAS-2 and MERRA-2 in Mexico: E-proceedings of the 37th IAHR World Congress August 13–18, Kuala Lumpur, Malaysia.
  28. Abbaszadeh Mazraji, Zahra; Sadeghi, Suleiman; And Hosseinzadeh, Seyed Reza (2013), Assessing the Accuracy of Common Methods of Estimating Climatic Data in the Study Area: Temperature and Precipitation in Kashfarud Basin of Mashhad, First National Conference on Meteorology, Kerman, Graduate University of Industrial and Advanced Technology. Kerman.
  29. Yasemi, Hadith, (2017), Assessing the Accuracy of Estimating Outdoor Temperatures of Global Temperature Bases on Iran, Master Thesis, Supervisor Mohammad Darand, University of Kurdistan.
  30. Osinowo A.A., E C. Okogbue, E.O. Eresanya, O.S. Akande, 2017, Evaluation of wind potential and its trends in the mid-Atlantic, Modeling Earth Systems and Environment, 3(4); 45.
  31. Dadashi-Roudbari, A., Ahmadi, M., & Shakiba, A. (2020). Seasonal Study of Dust Deposition and Fine Particles (PM 2.5) in Iran Using MERRA-2 Data. Iranian Journal of Geophysics, 43-59.
  32. Nabipour, Yusuf; Arianfar, Ali and Samadian, Morteza 2016, Investigation of vegetation changes on groundwater pollution in Urmia plain using RS and GIS, Sixth National Conference on Water Resources Management of Iran, Kurdistan, University of Kurdistan.
  33. Raeespour, Kouhzad; And Khosravi, Mahmoud, 2019, Analysis of long-term behavior of aerosol optical depth (AOD) in Sistan plain using MERRA-2 model, International Dust Conference in Southwest Asia, Zabol, Zabol University.
  34. Bayat, Reza; Jafari, Somayeh; Red spring, Baqer; Charkhabi, Amir Hossein. (1395). Study of the effect of fine dust on vegetation changes (Case study: Shadegan wetland, Khuzestan), Remote sensing and GIS in natural resources, 7 (2): 17-32.