Investigation of spatio-temporal changes of dust storms and its relation to climatic factors in Khuzestan Province Iran

Document Type : Research Paper

Authors

1 Department of Arid Land Management, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Isfahan, Iran.

2 Department of Arid Land Management, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Isfahan, Iran

3 Department of Geography and Tourism, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Isfahan, Iran.

10.22059/jdesert.2023.95505

Abstract

Dust is one of the major crises in the Middle East. In recent years, the frequency and intensity of this crisis in the region has increased and this has increased the need to study this phenomenon. In this article, we have studied the temporal and spatial changes of the dust storm phenomenon in Iran, Khuzestan (south-west) in the period 2000 to 2018. For this purpose, ground dust data and horizontal visibility and (Aerosol Optical Depth( data of MODIS satellite have been used. The AOD Optical Visibility Index has been declining from 2003 to 2007 and then increasing again. In general, we can see a gradual but increasing trend in the AOD index in the study area, from an average of 0.35 at the beginning of the period to nearly 0.6 at the end of the period, which indicates the predominance of dust storms in the region. The relationship between dust and climatic parameters was also examined. In terms of external storms, precipitation had a significant (P <0.001) and negative effect. This means that on days when there is less rain, the horizontal visibility index decreases and more dust storms were formed. In terms of domestic storms, only the wind direction had a significant direct effect (P <0.05), which means that some directions had higher dust storm frequencies. Finally, it can be concluded that the trend of domestic and foreign dust storms is increasing. The frequency of their occurrence is also increasing and with the decrease of regional rainfall due to climate change, we should expect more severe storms in the near future. For this reason, it is necessary for the authorities to act as soon as possible in controlling the internal dust centers, and to provide the ground for controlling the regional centers through regional consultations.

Keywords

References

References
Araghinejad S, Ansari Ghojghar M, PourGholam Amigi M, Liaghat A, Bazrafshan J. 2019. The Effect of Climate Fluctuation on Frequency of Dust Storms in Iran. Desert Ecosystem Engineering Journal, 7(21); 13-32.
Araghinejad, S, Ansari Ghojghar, M, PourGholam Amigi, M, Liaghat, A, & Bazrafshan, J. 2022. The effect of climate fluctuation on frequency of dust storms in Iran. Desert Ecosystem Engineering, 7(21), 13-32.‏
Mohammad Asgari H, Mojiri-Forushani H, Mahboubi M. Temporal and spatial pattern of dust storms, their polycyclic aromatic hydrocarbons, and human health risk assessment in the dustiest region of the world. Environmental Monitoring and Assessment. 2023;195(1):1-8.
Broomandi P, Dabir B, Bonakdarpour B, Rashidi Y.2017. Identification of dust storm origin in South–West of Iran. Journal of Environmental Health Science and Engineering, 15(1); 1-14.
Crosbie E, Sorooshian A, Monfared N A, Shingler T, Esmaili O A. 2014. Multi-Year Aerosol Characterization for the Greater Tehran Area Using Satellite, Surface, and Modeling Data. Atmosphere, 5(2); 178-197.
Dadashi-Roudbari A. Ahmadi M. 2020. Evaluating temporal and spatial variability and trend of aerosol optical depth (550 nm) over Iran using data from MODIS on board the Terra and Aqua satellites. Arabian Journal of Geosciences, 13(6); 1-23.
Daniali M. Karimi N .2019. Spatiotemporal analysis of dust patterns over Mesopotamia and their impact on Khuzestan province, Iran. Natural Hazards, 97(1); 259-281.
Dar M A, Ahmed R, Latif M, Azam M. 2022. Climatology of dust storm frequency and its association with temperature and precipitation patterns over Pakistan. Natural Hazards, 110(1); 655-677.
Deiravipour M, Mohammad Asgari H, Farhadi S. Detection of dust storms overnight in the South West of Iran using satellite images. Desert. 2022 Jun 1;27(1):35-53.
Engel-Cox JA, Holloman CH, Coutant BW, Hoff RM. 2004. Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality. Atmospheric environment, 38(16); 2495-2509.
Eshghizadeh M. 2021. Determining the critical geographical directions of sand and dust storms in urban areas by remote sensing. Remote Sensing Applications: Society and Environment, 23(100561).
Geravandi S, Yari A R, Jafari M, Goudarzi G, Vosoughi M, Dastoorpoor M, Farhadi M, Mohammadi M J. 2018. Effects of dust phenomenon and impacts with emphasis on dust problems and present solutions in Khuzestan (Iran). Archives of Hygiene Sciences, 7(2); 134-138.
Hoffmann C, Funk R, Sommer M, Li Y. 2008. Temporal variations in PM10 and particle size distribution during Asian dust storms in Inner Mongolia. Atmospheric Environment, 42(36); 8422-8431.
Hojati M. 2017. Artificial neural network based model to estimate dust storms 10PM content using MODIS satellite images. Journal of Environmental Studies, 42(4); 823-838.
Huemmrich K, Privette J, Mukelabai M, Myneni R, Knyazikhin Y. 2005. Time‐series validation of MODIS land biophysical products in a Kalahari woodland, Africa. International Journal of Remote Sensing, 26(19); 4381-4398.
Jafari R. Malekian M. 2015. Comparison and evaluation of dust detection algorithms using MODIS Aqua/Terra Level 1B data and MODIS/OMI dust products in the Middle East. International Journal of Remote Sensing, 36(2); 597-617.
Jafari Shalamzari M, Zhang W, Gholami A, Zhang Z. 2019. Runoff Harvesting Site Suitability Analysis for Wildlife in Sub-Desert Regions, 11(9); 1944.
Javadian M, Behrangi A, Sorooshian A. 2019. Impact of drought on dust storms: case study over Southwest Iran. Environmental Research Letters 14(12); 124029.
Lababpour A. 2020. The response of dust emission sources to climate change: current and future simulation for southwest of Iran. Science of The Total Environment, 714; (136821).
Lee H, Liu Y, Coull B, Schwartz J, Koutrakis PA. 2011. Novel calibration approach of MODIS AOD data to predict PM 2.5 concentrations. Atmospheric Chemistry and Physics, 11(15); 7991-8002.
Li J, Ge X, He Q, Abbas A. 2021. Aerosol optical depth (AOD): spatial and temporal variations and association with meteorological covariates in Taklimakan desert, China. PeerJ, 9; (e10542).
Liu J, Schaaf C, Strahler A, Jiao Z, Shuai Y, Zhang Q, Roman M, Augustine J A, Dutton E G. 2009. Validation of Moderate Resolution Imaging Spectroradiometer (MODIS) albedo retrieval algorithm: Dependence of albedo on solar zenith angle. Journal of Geophysical Research, 114; (D1).
Liu X, Yin Z.Y, Zhang X, Yang X. 2004. Analyses of the spring dust storm frequency of northern China in relation to antecedent and concurrent wind, precipitation, vegetation, and soil moisture conditions. Journal of Geophysical Research: Atmospheres, 109; (D16).
MalAmiri N, Rashki A, Hosseinzadeh S R, Kaskaoutis D G.2022. Mineralogical, geochemical, and textural characteristics of soil and airborne samples during dust storms in Khuzestan, southwest Iran. Chemosphere, 286; 131879. 
Middleton N. 1991. Dust storms in the Mongolian People's Republic. Journal of Arid Environments 20(3): 287-297.
Mohammadpour K, Rashki A, Sciortino M, Kaskaoutis D G, Boloorani A D A. 2022. statistical approach for identification of dust-AOD hotspots climatology and clustering of dust regimes over Southwest Asia and the Arabian Sea. Atmospheric Pollution Research, 13(4); 101395.
Namdari S, Valizade KK, Rasuly AA, Sari Sarraf B. 2016. Spatio-temporal analysis of MODIS AOD over western part of Iran. Arabian Journal of Geosciences, 9(3); 191. 10.1007/s12517-015-2029-7
Rajaee, T, Rohani, N, Jabbari, E, Mojaradi, B. 2020. Tracing and assessment of simultaneous dust storms in the cities of Ahvaz and Kermanshah in western Iran based on the new approach. Arabian Journal of Geosciences, 13, 1-20.‏
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.
Rashki A, Middleton N J, Goudie AS. 2021. Dust storms in Iran–Distribution, causes, frequencies and impacts. Aeolian Research, 48; (100655).
Shi Y, Shen Y, Kang E, Li D, Ding Y, Zhang G, Hu R. 2007. Recent and future climate change in northwest China. Climatic change, 80(3); 379-393.
Sissakian V, Al-Ansari N, Knutsson S. 2013. Sand and dust storm events in Iraq. Journal of Natural Science, 5(10); 1084-1094.
Soleimani Z, Teymouri P, Boloorani A D, Mesdaghinia A, Middleton N, Griffin D W. 2020. An overview of bioaerosol load and health impacts associated with dust storms: A focus on the Middle East. Atmospheric Environment, 223; (117187).
Sorkheh M, Asgari HM, Zamani I, Ghanbari F. The relationship between dust sources and airborne bacteria in the southwest of Iran. Environmental Science and Pollution Research. 2022 Nov;29(54):82045-63.
Taghavi F, Owlad E, Ackerman SA. 2017. Enhancement and identification of dust events in the south-west region of Iran using satellite observations. Journal of Earth System Science, 126(2); 28. 10.1007/s12040-017-0808-0
Tajiki F, Asgari HM, Zamani I, Ghanbari F. Assessing the relationship between airborne fungi and potential dust sources using a combined approach. Environmental Science and Pollution Research. 2022 Mar;29(12):17799-810.
 Washington R, Todd M, Middleton N J, Goudie AS. 2003. Dust-storm source areas determined by the total ozone monitoring spectrometer and surface observations. Annals of the Association of American Geographers, 93(2); 297-313.
Zhang B, Tsunekawa A, Tsubo M. 2008. Contributions of sandy lands and stony deserts to long-distance dust emission in China and Mongolia during 2000–2006. Global and Planetary Change, 60(3-4); 487-504. 
Desert
Volume 28, Issue 2
December 2023
Pages 205-215

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