Investigating the trend of dust storms by DSI anomaly in southeast Iran and its relationship with the NDVI index

Document Type : Research Paper

Authors

1 PhD candidate, Combat to Desertification Department, Faculty of Desert Studies, Semnan University, Semnan, Iran

2 Professor, Combat to Desertification Department, Faculty of Desert Studies, Semnan University, Semnan, Iran

3 Assistant Professor, Agricultural Extension & Education Institute, Tehran, Iran

10.29252/aridbiom.2024.20371.1948

Abstract

Dust storms are natural phenomena but with serious and destructive effects on the environment and human societies. The southeast region of Iran is one of the most active sources of dust storms in Asia, dust storms occur in this region almost all year round, but their frequency is higher in summer and spring. This study aims to investigate the dust storm anomaly in the southeast of Iran during a period of 21 years (2000-2020) and its relationship with vegetation anomaly changes. The DSIA was used to examine the spatial and temporal changes of dust storms, and the NDVIA was used to examine the changes in vegetation anomalies in the region. The correlation between DSIA and NDVIA was determined by using Pearson's coefficient. The temporal trends of DSIA show that from 2000 to 2012, it had a positive and increasing trend in most of the years of the study, and the highest value of DSIA occurred in 2012, which is equal to 96%. Then, from 2012 to 2020, this trend has been decreasing, and the lowest value of DSIA equal to -67% was observed in 2020. Also, moving from east to west of the studied area, the value of the DSIA decreased. The temporal trends of the NDVIA show that from 2000 to 2012, the trend of changes is downward, but from 2012 to 2020, the trend of changes is upward. In terms of time, the highest value of the NDVIA index is related to 2014, and in general, since 2012, this index has had positive and increasing changes. Pearson correlation results showed that the DSIA index is significantly correlated with the NDVI index, this correlation is negative (p-value<0.05 r=0.52) due to the negative and significant correlation between the NDVIA index and the DSIA index. Since 2012, with the increase of the NDVIA index and the improvement of vegetation conditions, the DSIA index has decreased. The effect of this correlation was also observed spatially, as moving from east to west of the region, with the increase of the NDVIA index, the amount of DSIA decreases. These results can be useful for decision-makers to assess the risks of dust storm impacts and reduce its negative consequences in the southeast parts of Iran.

Keywords

Main Subjects


[1]. Abbasi, H. R., Opp, C., Groll, M., Rohipour, H., Khosroshahi, M., Khaksarian, F., & Gohardoust, A. (2018(. Spatial and temporal variation of the aeolian sediment transport in the ephemeral Baringak Lake (Sistan Plain, Iran) using field measurements and geostatistical analyses. Zeitschrift für Geomorphologie, 61(4), 315-326
[2]. AlizadehChoobari, 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, 152–165. doi:10.1016/j.atmosres.2013.11.007
[3]. Albugami, S., Palmer, S., Cinnamon, J., & Meersmans, J) .2019(. Spatial and temporal variations in the incidence of dust storms in Saudi Arabia revealed from in situ observations. Geosciences (Switzerland),  9(162), 1-20, doi: 10.3390/geosciences9040162
[4]. Behrooz, R. D., Kaskaoutis, D. G., Grivas, G., & Mihalopoulos, N. (2020(. Human health risk assessment for toxic elements in the extreme ambient dust conditions observed in Sistan, Iran. Chemosphere, 262, 127835.doi:10.1016/j.chemosphere.2020.127835
[5]. Broomandi, P., Karaca, F., Guney, M., Fathian, A., Geng, X., & Kim, J. R. (2021). Destinations frequently impacted by dust storms originating from southwest Iran. Atmospheric Research, 248, 105264. doi: 10.31224/osf.io/zm6vn
[6]. Ebrahimi Khusfi, Z., & Roustaei, F. (2022). Dust storm index anomaly for sand-dust events monitoring in western Iran and its association with the NDVI and LST anomalies. Environmental Science and Pollution Research, 29, 11101–11115. doi: 10.1007/s11356-021-16416-7
[7]. Eskandari, H., Borji, M., Khosravi, H., & Mesbahzadeh, T. (2016(. Desertification of forest, range and desert in Tehran province, affected by climate change. Solid Earth, 7, 905-915. doi: 10.5194/se-7-905-2016
[8]. Evans, S., Ginoux, P., Malyshev, S., & Shevliakova, E. (2016). Climate-vegetation interaction and amplification of Australian dust variability. Geophysical Research Letters, 43(22), 11-823. doi: 43. 10.1002/2016GL071016
[9]. Hamidi, M., Kavianpour, M. R., & Shao, Y. (2017). A quantitative evaluation of the 3–8 July 2009 Shamal dust storms. Aeolian Research, 24, 133-143. doi:10.1016/j.aeolia.2016.12.004
[10]. Hussain, S., Mubeen, M., Akram, W., Ahmad, A., Habib-Ur-Rahma, M., Ghaffar, A., Amin, A., Awais, M., Farid, H.U., Farooq, A., & Nasim, W. (2019). Study of land cover/land use changes using RS and GIS: a case study of Multan district, Pakistan. Environmental Monitoring and Assessment, 192(1), 1-15. doi: 10.1007/s10661-019-7959-1
[11]. Kamali, P., Tazeh, M., Kalantari, S., Fehresti, M., & Jebali, A. (2023). Investigating the relationship between dust storm index and some climatic parameters, vegetation index and land form types (Yazd-Ardakan Plain). Desert Management, 10(4), 93-108. doi: 10.22034/jdmal.2023.1989675.1407 [in farsi]
[12]. Karimi, N., Namdari, S., Sorooshian, A., Bilal, M., & Hwidary, P. (2019). Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces. Atmospheric Pollution Research,  10(4), 1005–1014. doi: 10.1016/j.apr.2019.01.008
[13]. Kianian, A. & Mobarghaei Dinan, N. (2017). Zoning the Soil Affected by Wastewater Irrigation with Using IDW Method (Case Study, South of the Rey City). Environmental Researches7(14), 81-90.
[14]. Kharazmi, R., Tavili, A., Rahdari, M. R., Chaban, L., Panidi, E., & Rodrigo-Comino, J. (2018). Monitoring and assessment of seasonal land cover changes using remote sensing: a 30-year (1987-2016) case study of Hamoun Wetland, Iran. Environmental Monitoring and Assessment, 190(6), 355, 1-23. doi: 10.1007/s10661-018-6726-z
[15]. Maleki, H., Sorooshian, A., Goudarzi, G., Nikfal, A., Baneshi, M.M. (2009). Temporal Profile of PM10 and Associated Health Ef-fects in one of the Most Polluted Cities of the World (Ahvaz, Iran) between 2009 and 2014. Aeolian Research, 22, 135-140. doi: 10.1016/j.aeolia.2016.08.006
[16]. Miri, A., Maleki, S., & Middleton, N. (2021a). An investigation into climatic and terrestrial drivers of dust storms in the Sistan region of Iran in the early twenty-first century. Science of the Total Environment, 757, 143952. doi: 10.1016/j.scitotenv.2020.143952
[17]. Miri, A., Dragovich, D., Dong, Z. (2021b). Wind flow and sediment flux profiles for vegetated surfaces in a wind tunnel and field-scale windbreak. Catena, 196, 104836.
[18]. Mosavi Baygi, M. & Ashraf, B. (2011). Study of leading to drought of autumn and winter synoptic patterns in Khorasan Razavi Province. Journal of soil and water conservation, 18(4), 184-167. [in farsi]
[19]. Namdari, S., Valizadeh Kamran, K., & Sorooshian, A. (2021). Analysis of some factors related to dust storms occurrence in the Sistan region. Environmental Science and Pollution Research, 28(33), 45450-45458. doi: 10.1007/s11356-021-13922-6
[20]. Nicholson, S. E., & Farrar, T. J. (1994). The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana. I. NDVI response to rainfall. Remote Sensing of Environment, 1994, 207-220. doi: 10.1016/0034-4257(94)90038-8
[21]. Rashki, A., Arjmand, M., & Kaskaoutis, D. G. (2017). Assessment of dust activity and dust plume pathways over Jazmurian Basin, southeast Iran. Aeolian Research, 24, 145-160. doi: 10.1016/j.aeolia.2017.01.002
[22]. Tan, M. (2016). Exploring the relationship between vegetation and dust-storm intensity (DSI) in China. Journal of Geographical Sciences, 26. 387-396. doi: 10.1007/s11442-016-1275-2