Investigating the effect of suspended particles on ground surface temperature and vegetation cover in Khuzestan province in a long period of time (2000-2020)


Geology department, Shahid Chamran University of Ahvaz


Issues related to air and aerosols have been one of the major environmental problems for the people of the world and the region in recent years. The present study was conducted with the aim of investigating suspended particles on the surface and vegetation of Khuzestanprovince in the period from 2000to2020.In this regard, in order to achieve the goal of the research, three aerosol optical depth products AOD,vegetation index product NDVI and land surface temperature product LSTwere used and the relationship between these parameters was investigated.The results obtained for the time period of the research show an almost similar general trend for all four periods.The results show that in the very low class, low AOD values ​​are associated with high vegetation values. For the low class, the area of ​​the AOD index has increased, but still the vegetation has a larger area percentage.
In the medium class, with the increase in the area of ​​the AOD index, the area value of the vegetation index has decreased greatly, and the area value of the average temperature class shows a slight increase. For the high class, the area value of the surface temperature index is higher than the AOD and vegetation indices. Finally, in the very high class,


Main Subjects

Clark, M.L., Aide, T.M. Grau, H.R., Riner, G., 2010. A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America. Remote Sensing of Environment 114, 2816-2832.
Fu, G., Shen, Z., Zhang, X., Shi, P., Zhang, Y., Wu, J., 2011. Estimating air temperature of an alpine meadow on the Northern Tibetan Plateau using MODIS land surface temperature. Acta Ecologica Sinica 31, 8-13.
Houghton, J.T., Ding, Y.D. Griggs, J.G., Noguer, D.J., van der Linden, M., Dai, P.J., Johnson, X., 2001. Climate change 2001: the scientific basis. The Cambridge University Press. P. 650.
Ju, J., Roy, D.P. 2008. The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally. Remote Sensing of Environment 112(3), 1196-1211.
Kahn, R.A., Gaitley, B.J., Martonchik, J.V., Diner, D.J., Crean, K.A.,  Holben, B. 2005. Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations. Journal of Geophysical Research: Atmospheres 110(D10).
Kermani, F., Rayegani, B., Nezami, B., Goshtasb, H., Khosravi, H. 2022. Assessing the vegetation trends in arid and semi-arid regions (Case study: Touran Protected Area). Desert Ecosystem Engineering 6(17), 1-14. https://doi: 10.22052/6.17.1
Khoshkish, A., Alijani, B., Hejazizadeh, Z. 2011. Synoptic analysis of dust storms in the Lorestan Province, Iran, Journal of Applied Researches in Geographical Sciences 11(21), 91-110.
Liu, Z., Vaughan, M., Winker, D., Kittaka, C., Getzewich, B., Kuehn, R., Hostetler, C. 2009. The CALIPSO lidar cloud and aerosol discrimination: Version 2 algorithm and initial assessment of performance. Journal of Atmospheric and Oceanic Technology 26(7), 1198-1213.
Mayahi, J., Eskandari dameneh, H., Zarasvandi, A., 2021. Assessments Land Cover change Effects on Soil Erosion Trend in Hoor al-Azim wetland, Southwestern of Iran. Journal of Natural Environmental Hazards 10(27), 107-122. https://doi:10.22111/jneh.2020.33269.1626
NASA, MODIS Brochures, GSFC, (MODIS Moderate Resalution Imaging Spectroradiometer). 2002.
Pozzer, A., de Meij, A. Yoon, J. Tost, H. Georgoulias, A., Astitha, M., 2015. AOD trends during 2001–2010 from observations and model simulations. Atmospheric Chemistry and Physics 15, 5521-5535.
Quintano, C., A. Fernández-Manso, A., Stein, Bijker, W. 2011. Estimation of area burned by forest fires in Mediterranean countries: A remote sensing data mining perspective. Forest Ecology and Management 262, 1597-1607.
Rangzan, K., Zarasvandi, A., Abdolkhani, A.,  Mojaradi, B., 2014. Modeling of Air Pollution using MODIS Data: Khouzestan Dust storm. Advanced Applied Geology 4(4), 38-45.
Rangzan, K., Zarasvandi, A., kabolizadeh, M., mohammadi, S., Mayahi, J. 2022. Spatiotemporal evaluation of PM2.5 concentration in Khuzestan province and examining the factors affecting it. Environmental Sciences 20(2), 199-222.
Rosenfeld, D., Y. Rudich, and R. Lahav.2001. Desert dust suppressing precipitation: A possible desertification feedback loop, Proceedings of the National Academy of Sciences, U.S.A. 98, 5975–5980.
Rouse, J.W., Haas, R.H., Schell, J.A. 1974. Monitoring the vernal advancement of retrogradation (greenwave effect) of natural vegetation. Remote Sensing Center, Texas AM University. Conference paper, No. E75-10354.
Savtchenko, D. Ouzounov, S. Ahmad, J. Acker, G. Leptoukh, J. Koziana, D. Nickless, D., 2004. Terra and Aqua MODIS products available from NASA GES DAAC, Advances in Space Research 34, 710 - 714.
Shafiei, F., Darvishi Boloorani, A., Pourmanafi, S., Shahsavani, A. 2017. Dust Storms Chemical Elements Estimation and Density Identification Using MODIS Images and CALIPSO Data. Iranian Journal of Remote Sensing GIS 8(2), 1-16.
Shao, Y., Dong, C.H., 2006. A review on East Asian dust storm climate, modelling and monitoring. Global and Planetary Change, 52: 1–22.
Tan, M. 2016. Exploring the relationship between vegetation and dust-storm intensity (DSI) in China. Journal of Geographical Sciences, 26(4), pp.387-396.
Zahediasl, S., Faridhosseini, A., Choi, Y., Shad, R., Seyedin, A. 2017. Initial Assessment of Cloud and Aerosol Discrimination over the Eastern Regions of Iran Using CALIOP Satellite Data. Journal of Civil and Environmental Engineering 47 (86), 21-33.
Zarasvandi, A., Moore, F., Nazarpour, A. 2011. Minralogy and Morpology of Dust Storms particles in Khuzstan province: XRD and sem Analysis concerning. Iranian Journal of Crystallography and Mineralogy 19(3), 511-518.
Zhu C, Wang B, Qian W. 2008. Why do dust storms decrease in northern China concurrently with the recent global warming Geophysical Research Letters 35 :L18702.