Document Type : Research Paper

Authors

1 Associate Professor, Research institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran

2 Researcher, Desert research division, Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran.

3 Assistant Professor, Research institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Iran

4 Assistant Professor, Poplar and fast growing trees Research Division, Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Terhran, Iran.

10.22092/ijrdr.2024.131464

Abstract

Background and objectives
Many studies have examined the role of neighbouring countries in dust generation in southwestern Iran (Khuzestan) on a case-by-case basis, but which country among the neighbouring countries and in which parts of the same country has the greatest influence on dust generation in the southwest? Iran has not been investigated. In this study, after determining the occurrence of dust using the AOD index and tracing its path through the HYSPLIT model, the main sources of dust emissions affecting the southwest of Iran were identified.
 
Methodology 
To identify foreign areas effective in dust emission in Khuzestan province from 2003 to 2017, one day before the dust phenomenon was reported, the day of dust occurrence, and one day after, on Modis images, by selecting the appropriate algorithm of occurrence. The dust was detected. Three conditions were applied to each dust event: spatial extent in more than 50 % of the synoptic stations of the study area, horizontal field of view of less than 5 km, and detection of the event in more than three consecutive synoptic reports. According to the research, dust ingress into Iran generally occurs in the lower and middle layers of the atmosphere, so the path of dust ingress was investigated at three altitudes of 500, 1000, and 1500 meters. In the HYSPLIT model images, the output of the HYSPLIT method on the day of the event was used together with the AOD image of the day before the dust event in Khuzestan for all days and years. In this way, the areas that had the most dust emission towards Khuzestan were identified and the areas that had at least 30 times by checking the AOD concentration in the days before the occurrence of dust, were identified as areas and centers of dust formation or intensification and emission were identified and its results were zoned for each year and finally the entire period. The share of the most important areas affecting Khuzestan dust was determined in order of priority.
 
Results
Examining the output of all the studied dust events showed that during different years, different regions had the largest share in dust emission to Khuzestan; In 2003, the north and east of Arabia had the most dust emissions towards Khuzestan, and in the same way in the following years, in 2004, the border between Iraq and Syria, in 2005, Saudi Arabia, in 2006, south of Iraq, in 2007, south and southeastern Iraq, in 2008, southern and southeastern Iraq, in 2009, southwestern Iraq, northern Iraq, northern and eastern Arabia, in 2010, southern and southwestern Iraq, in 2011, western Iraq, southern Iraq , North and East Arabia, in 2012, South and Southwest Iraq, in 2013, South and Southwest Iraq, in 2014, North and East Arabia, in 2015 North and East Arabia, in 2016 Iraq-Syria border , western Iraq and southern Iraq, in 2017, the border between Iraq and Syria. During the studied period from 2003 to 2017, the largest share in dust emission; Eastern Iraq was the border between Iraq and Syria, southern Iraq, northern and eastern Arabia

Conclusion 
With 68.8%, Iraq has the largest share in dust emissions entering Khuzestan province, and Saudi Arabia, Syria and Kuwait are in the next ranks, respectively. Due to the upcoming climate changes as well as the redoubled efforts of the upstream countries, Iraq will become a huge source of dust through the construction of earthen dams. The dust produced in this country due to being in the path of synoptic systems towards Iran has had many environmental effects in recent years, especially in the deterioration of Zagros forests. Identifying the areas that emit the most dust helps planners and decision makers to adopt appropriate and efficient diplomacy in controlling and reducing the effects of regional fine dust.

Keywords

-Abbaszadeh Fathabadi, M., Mansouri, M., 2019. The Effect of Iraq Fragile State on Environmental Security of Islamic Republic of Iran. World Politics, 8(2), 291-322.‌
-Arami, S.A. H., Karimi Sengchini, D., Dinarvand, M., 2022. Tracking severe dust storms in southwest Iran using HYSPLIT model. Application of geographic information system and remote sensing in planning, 13 (1), 7-17.
- Azizi, A., Shamsipour, A., Miri, M. and Safar Rad, T. 2012, Statistical analysis - Synoptic phenomenon of dust in the western half of Iran. Journal of Environmental Studies, 38(63): 123-134 (In Persian).
-Bartina, H. 2012. Feasibility Study of Satellite Image Use to Determine Dust Concentration and Measurment of Lead and Zinc Concentration. Thesis, Shahid Chamran Univesity of Ahvaz.
-Charlson, R.J., J.Langner, H.Rodhe, C.B. Leovy, and S.G. Warren. 1995. Pertubation of the northern hemisphere radiative balance by backscattering from anthropogenic sulfate aerosols. Tellus, 43B(4): 152-163.
-Draxler, R. and G.D.Hess.1998. An overview of the HYSPLIT modeling system for trajectories, dispersion, and deposition. Aust Meteorol Mag, 47:  308-395.
-El-ossta, E.,   Qahwaji, R., Ipson, SS., 2014. Detection of Dust Storms Using MODIS Reflective and Emissive Bands.  IEEE Journal of Selected Topics in Applied Earth Observations and Remate Sensing. V 6. P 2482-2485.
-Fountoukis, C., Figgis, B., Ackermann, L., & Ayoub, M. A., 2018. Effects of atmospheric dust deposition on solar PV energy production in a desert environment. Solar Energy, 164, 94-100.
-Faraj Zadeh Asl, M., Bahrami, B., 2019. The possibilities of using remote sensing ata in the study of dust storms, floods and heavy rains. Journal of Natural Geography, 8(3):1-16.
-Fallah zazuli, M., Vafaeinezhad, A., Kheirkhah zarkesh, M. M., & Ahmadi dehka, F., 2014. Source routing of dust haze phenomenon in the west and southwest of Iran and its synoptic analysis by using remote sensing and GIS. Journal of RS and GIS for Natural Resources5(4), 61-78.
-Goudie A.S., 2020. Dust storms and human health. In Extreme Weather Events and Human Health. 13-24.
-Ghanavati, H., Fatahi Ardakani, A., Neshat, A., 2018. Economic evaluation of environmental dust phenomenon damage (case of study: Ardakan city). Environmental Sciences16(1), 141-158.
- Ghaderi, B., Azizi, Z., 2020. Using Modis satellite imagery in source finding and path determining of dust storms in western and southwestern Iran. Journal of Meteorology and Atmospheric Science, 3(2), 148-160. doi: 10.22034/jmas.2021.291587.1144
-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. 597-617.
-Jafari, M., Zehtabian,G., Mesbahzadeh, T.,Nourozi, A.A., 2019. Detection of dust storm paths using numerical models and satellite images (Case Study: Isfahan Province) 26(1): 29-39.
- Hafeznia, M. R., Taheri, A., Farajzadeh Asl, M., 2016. Political Effects resulting from dust storms in Tigris and Euphrates basins. Geopolitics Quarterly, 12(44), 13-38.
Hejazizadeh Z, Toulabi Nejad M, Zarei CHaghabalaki Z, Amraeei B., 2019. Monitoring of Dust Storm in the Midwest of Iran Case Study: Dust Storm June 16-19, 2015. Journal of Spatial Analysis Environmental Hazards, 5 (4), 107-124. 10.29252/jsaeh.5.4.107
‌-Kaufman, Y. J., Smirnov, A., Holben, B. N., Dubovik, O., 2001. Baseline maritime aerosol: methodology to derive the optical thickness and scattering properties. Geophysical Research Letters, 28(17), 3251-3254.‌
-Khaniabadi, Y. O., Daryanoosh, S. M., Amrane, A., Polosa, R., Hopke, P. K., Goudarzi, G., Armin, H., 2017. Impact of Middle Eastern Dust storms on human health. Atmospheric pollution research, 8(4), 606-613.
- Legrand, M., Plana‐Fattori, A., N'doumé, C., 2001. Satellite detection of dust using the IR imagery of Meteosat: 1. Infrared difference dust index. Journal of Geophysical Research: Atmospheres, 106(D16), 18251-18274.‌
- Mei, D., Xiushan, L., Lin, S., Ping, W. A. N. G., 2008. A dust-storm process dynamic monitoring with multi-temporal MODIS data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, 965-970.
‌-Manjezi, N., 2020. Evaluation of the effects of fine dust crisis on the production of different agricultural sectors in Khuzestan province using the strategic-hierarchical analysis (SWOT-AHP) method. Natural Hazards, 9 (23), 117-134.
-Mohammadi, Z., lashkari, H., 2023. Temporal-spatial distribution and synoptic patterns of storms with horizontal visibility less than 200 meters in western Iran. Researches in Earth Sciences, 14(2), 52-70.
-Nazari, M., Forouzani, M., Yazdanpanah, M., Baradaran, M., 2018. Livelihood Security of Farmers under Dust in Susa County. Iranian Agricultural Extension and Education Journal13(2), 153-169.
-Ogren, J. A., 1995. A systematic approach to in situ observations of aerosol properties. Aerosol forcing of climate, 215, 226.‌.
-Pilehvaran, R, Rastgou., Nikfal, A.H., Moradpor, B. 2021. Combining remote sensing and numerical methods in the study of dust storms, 19(2):
-Perez, L., Tobías, A., Querol, X., Pey, J., Alastuey, A., Díaz, J., Sunyer, J., 2012. Saharan dust, particulate matter and cause-specific mortality: a case-crossover study in Barcelona (Spain). Environment International. Vol 48, pp: 150-155.
-Pourmohamed, N., Shad, rozbeh 2015. Feasibility of estimating and monitoring the spatial changes of airfoils with a diameter of less than 2.5 microns. The fourth national congress of new technologies of Iran. Tehran. Iran.
‌-Rahmani, A., Kashwarsi, A., Ahmadi, A., 2011, using integrated model for dust storm monitoring and modeling, third national conference on combating desertification and sustainable development of desert wetlands in Iran, Arak, Islamic Azad University, Arak branch. Iran
-Ranjbar, A Azizi, Gh. 2012. Study of Meteorological Patterns, Identification of Dust Source and Particulate Movement Paths for the July 2009 Storm. Natural Geographic Research, 44(3): 73-92 (In Persian)
- Schweitzer, M. D., Calzadilla, A. S., Salamo, O., Sharifi, A., Kumar, N., Holt, G., Mirsaeidi, M. 2018. Lung health in era of climate change and dust storms. Environmental research, 163, 36-42.‌
-Saeedi, J., Bahrami, H.A., Mortazavi, S.H., Abdullah, H., 2014. investigation and analysis of the phenomenon of dust in the metropolis of Ahvaz, the first international dust conference, Ahvaz, Shahid Chamran University of Ahvaz. Iran. https://civilica.com/doc/539675
-Shahbazi, T., Saeedi, M., Nosrati, M., Jalali Honarmand, S., 2016. Investigation of the effect of fine dust on physiological characteristics and yield of different wheat cultivars (Triticum sp.). Iranian Society of Plant Physiology, 5 (15), 195-204.
-Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J., Cohen, M. D., Ngan, F., 2015. NOAA’s HYSPLIT atmospheric transport and dispersion modeling system. Bulletin of the American Meteorological Society, 96(12), 2059-2077.
-Wilkerson, D., 1991. Dust and sand forecasting in Iraq and adjoining countries. Air Weather Service, Scot Air Force Base, Illinois. Pp: 62225-5008.
-Zarasvandi, A., Carranza, E.J.M., Moore, F., and Rastmanesh, F. 2011. Spatio-temporal occurrences and mineralogical-geochemical characteristics of airborne dusts in Khuzestan Province (Southwestern). J. Geochem. Exp. 111:138-151.
-Yousefvand, S., Salmanvandi, S., Ghanbari Barzian, A., 2020. Socio-political and economic risks caused by the phenomenon of particulate matter as an obstacle to sustainable development. Journal of Environmental Science and Technology, 22 (3), 39-54.