Revealing the role of changes in vegetation cover and soil moisture in the annual distribution of dust events in Khuzestan province

Document Type : Original Article

Authors

1 Ph.D. student of climatologhy, Department of Geography, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran,

2 Associate Professor of Geography Department, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Assistant Professor of Urban Planning Department, Shushtar Branch, Islamic Azad University, Shushtar, Iran

4 Assistant Professor of Geography Department, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

Abstract

Dust events are one of the most important and challenging environmental and climatic hazards of the whole country and especially of Khuzestan province. The main goal of this research is to reveal the role of changes in vegetation cover and soil moisture in the annual distribution of dust events in Khuzestan province. In this regard, 3 categories of data were used. The data related to station dust codes obtained during the statistical period of 2010-2020 for the synoptic stations of Khuzestan province on an hourly scale. The second set of monthly vegetation data was obtained from the NDVI product (MOD13C3) of the MODIS sensor, and finally, the moisture data of the upper 5 cm layer of the soil was provided from the SMAP sensor on a monthly basis. By analyzing the frequency of dust codes, the monthly frequency of dust events, the concentration and persistence of dust were investigated. By obtaining the spatial average values of the two moisture indices of the upper 5 cm soil layer and the monthly NDVI index, the correlation and relationship between the dust indices and these indices was analyzed. The results showed that based on the average period of 2010-2020, the period of 4 months from May to August is the dust peak period in the province. There are at least 11 days of dust in every month, and the concentration of dust is more than 2800 micrograms per cubic meter in the air, and the duration of the dust event in the province is at least 40 hours. The investigation of the moisture indicators of the upper layer of the soil and vegetation showed that, exactly in the province during the same dust peak period, the soil moisture of the upper layer of the soil reached less than 10% in a large part of the central and southern regions of the province, and at the same time, the vegetation index also In these sectors, it has reached less than 0.18. In addition, in this research, it was observed that the monthly changes in the moisture content of the upper 5 cm layer of the soil with a correlation coefficient of -0.88 have the greatest effect on controlling the dust concentration in Khuzestan province.

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Main Subjects


  1. Al-Hurban. Adeeba E. 2014. Effects of recent anthropogenic activities on the surface deposits of Kuwait, Arabian Journal of Geosciences, 7(2), 665-691
  2. Amos, P.K., Tai, Perry, H.L.,  M., Yuk – Chun, Chan, Ming-Keung. Chow, David, A. Ridley, Jasper, F. Kok, Impacts of climate and land cover variability and trends on springtime East Asian dust emission over 1982–2010: A modeling study, Atmospheric Environment, 254, 118348, doi.org/ 10.1016/j.atmosenv.2021.118348
  3. Ruiqiang, DingJianping, Li WangFumin, R. 2005. Decadal change of the spring dust storm in northwest China and the associated atmospheric circulation, Geophysical Research Letters, 32(2), 1-4.
  4. Jalali, M., Bahrami, H. and Darvishi Bolourani, A. (2012). Investigation of the relationship between climatic and terrestrial factors with the occurrence of dust storms using MODIS satellite images (Case study: Khuzestan province). The First National Desert Conference, Iran, Tehran, 27-28 June.
  5. Karimi, M., and Shakouhi Razi, K. 2009. Interaction between Atmospheric Circulation and Land Cover in the Mechanism of Creation of Summertime Dust Storms in Middle East (Case study, July 2009), Physical Geography Research Quarterly, 78, 113-130.
  6. Jing, Li a, Eric, Garshick, Ali, Al-Hemoud, Shaodan. Huang, Petros, Koutrakis. 2020. Impacts  of  Meteorology  and  Vegetation  on  Surface  Dust  Concentrations  in  Middle  Eastern  Countries,  Science  of  the  Total  Environment, 712,  1–9.
  7. Steven D. Miller P. Kuciauskas, Ming. Liu, Qiang, Ji, Jeffrey, S., Reid, Daniel, W., Breed, Annette, L., Walker, Abdulla, Al Mandoos. 2008. Haboob dust storms of the southern Arabian peninsula, J. Geophys. Res., 113, 1-26.
  8. Nickling, W.G., and Brazel, A.J. 1984. Temporal and spatial characteristics of Arizona dust storms (1965–1980), Journal of Climatology, 4(6), 645-660.
  9. Sun, JianHua, Zhao, Linna, and Zhao, S.X. 2003. An integrated modeling system of dust storm suitable to northChina and applications, Environ. Res., 8, 125-142
  10. Minghong. 2016. Exploring the relationship between vegetation and dust-storm intensity (DSI) in China, J. Geogr. Sci., 26(4), 387-396
  11. Tan, Mingong, Li, Xuibin. 2015. Does the green great wall effectively decrease dust storm intensity in China? a study based on NOAA NDVI and weather station data, Land Use Policy, 43, 42-47
  12. Yang, Yue, Jan, Cermak, Yang, Eva, Pauli. Yunping, Chen. 2022. Land Use and Land Cover Influence on Sentinel-2 Aerosol Optical Depth below City Scales over Beijing, Remote Sens, 14(18), 4677.