Identification and Analysis of Wind Erosion and Dust Emission Hotspots in Bushehr Province, Iran

Document Type : Research Paper

Authors

1 1. Forests and Rangelands Research Department, Bushehr Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Bushehr, Iran.

2 Soil and water Research Department, Bushehr Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Bushehr, Iran

3 Animal Science Research Department, Agricultural Research, Education and Extension Organization, Karaj, Iran

4 3. Research institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization, Karaj

5 5. Animal Science Research Department, Agricultural Research, Education and Extension Organization, Karaj, Iran

Abstract

Wind erosion is one of the most critical environmental and agricultural factors, increasing risks to soil productivity and food security, with significant consequences for ecosystems and human well-being. Considering that Bushehr Province is located in arid and semi-arid regions and frequently experiences dust storms, this study aimed to evaluate soil susceptibility to wind erosion, measure the wind erosion threshold velocity, and examine its relationship with soil properties in the province. Soil samples were collected from 22 stations across seven counties in Bushehr Province to determine observational threshold velocity (m/s), calculated threshold velocity (m/s), and total wind erosion (kg/m²/min) at three wind velocity classes of 15, 20, and 25 m/s. The results indicated that the lowest observational and calculated threshold velocities, 5 and 6 m/s respectively, were recorded in Pahlevankeshi village and rangelands in the Gorgor hotspot of Tangestan County. The highest velocities, 15 and 19.4 m/s, were observed in abandoned lands along Kabgan Road, shrimp farming sites, and rangelands in the counties of Genaveh, Deylam, Dayyer, and Bushehr. Furthermore, the highest wind erosion, 47.7 and 34.4 kg/m²/min, occurred in areas with the lowest threshold velocity (6 m/s), such as managed rangelands, while the lowest wind erosion, 0.36 and 1 kg/m²/min, was recorded in areas with the highest observational and calculated threshold velocities (15 and 19.4 m/s), including shrimp farms and abandoned rangelands. These findings demonstrate that these regions are active dust hotspots in southern Iran and require serious local and regional management strategies.

Keywords

Main Subjects


Background and Aim

Wind erosion is one of the most critical environmental and agricultural factors that significantly reduces soil productivity and poses a threat to food security, with substantial consequences for ecosystems and human well-being. This study aimed to assess the susceptibility of soils to wind erosion, measure threshold wind velocity, and examine its relationship with soil properties in Bushehr Province, south Iran. Specifically, the research focused on determining the threshold wind erosion velocity in potential dust source areas, evaluating wind erosion amounts at different wind speeds (15, 20, and 25 km/h), and analyzing the key physical and chemical soil factors influencing wind erosion intensity across seven counties of the province. The findings are expected to support improved land management and effective control strategies against wind erosion in the region.

Methodology

In this study, undisturbed soil samples (approximately 25 kg) were collected from wind erosion-prone areas to measure observational and calculated threshold wind velocity (m/s) as well as wind-eroded sediment flux (kg/m²/min). Additionally, 22 composite soil samples were taken from a depth of 0–30 cm across seven arid counties of Bushehr for physical and chemical analyses. After recording field characteristics, samples were transferred to the Soil Science Laboratory at the Agricultural Research Center of Bushehr.

Findings

The lowest threshold wind velocities (5 and 6 m/s) were observed in Pahlevan-Keshi village and rangeland areas of Tangestan County, while the highest values (15 and 19.4 m/s) were recorded in abandoned lands near Kabgan Road and shrimp farming sites in Genaveh and Bushehr counties. Maximum wind erosion rates (47.7 and 31.4 kg/m²/min) occurred in areas with low threshold velocities (6 m/s), whereas minimum erosion rates (0.36 to 1 kg/m²/min) were found in areas with higher resistance to wind erosion (15 m/s). The findings demonstrated that wind erosion susceptibility is strongly influenced by soil texture (sand, silt, and clay content), surface structure, and chemical properties, particularly calcium carbonate equivalent (CCE) and electrical conductivity (EC). Higher sand and CCE contents in light-textured soils increased erosion rates, while greater clay, silt, and salinity levels, along with stabilizing cations (e.g., Ca²⁺ and Mg²⁺), enhanced inter-particle cohesion and improved resistance to wind. The effectiveness of surface gravel and sand cover varied depending on their density, size, and spatial distribution. Overall, wind erosion in the region is a result of the complex interaction of physical, chemical, and climatic factors and requires localized, multi-factorial management strategies.

Conclusion

Wind erosion in the study area is significantly affected by soil texture—especially sand, clay, and silt content—as well as chemical and climatic conditions. Sandy soils with low moisture and poor vegetation cover were most vulnerable, while heavier-textured soils showed greater resistance. Chemical characteristics such as CCE and EC demonstrated texture-dependent effects on soil structure stability. Effective erosion control demands site-specific, multi-variable management strategies, including vegetation restoration and soil structure improvement, particularly in critical hotspots such as the southwestern rangelands of Bushehr. These areas are recognized as active dust storm sources in southern Iran and require urgent regional and local planning efforts.

Author Contributions

Conceptualization: GH.R and H.A.; Methodology: GH.R and H.A.; Software: S.D and R.A.; Validation: A.K and S.D.; Formal analysis: A.K and GH.R; Investigation: GH.R, R.A and S.D.; Resources: R.A and A.K.; Data curation: R.A and S.D.; Writing—original draft: S.D.; Writing—review & editing: GH.R, R.A, A.K, S.D, and Z.R.; Visualization: H.A, R.A, and A.K.; Supervision: GH.R and S.D.; Project administration: GH.R. All authors have read and agreed to the published version of the manuscript.

Data Availability Statement

The data supporting the findings of this study are available from the authors upon reasonable request.

Acknowledgements

This research is part of the project “Monitoring of Factors Influencing Dust and Sand Sources in Bushehr Province”, conducted in collaboration with the Research Institute of Forests and Rangelands and the Agricultural Research, Education and Extension Organization of Bushehr Province. The authors sincerely appreciate the valuable guidance and support of the managers and experts of these centers, which greatly contributed to improving the quality of this research.

Ethical Considerations

This study, as part of the above-mentioned project, was conducted in collaboration with the Research Institute of Forests and Rangelands and the Agricultural Research, Education and Extension Organization of Bushehr Province. The authors confirm that the research fully adhered to ethical principles, and no data fabrication, falsification, plagiarism, or misconduct occurred.

Conflict of Interest

The authors declare no conflict of interest

Bhuyan, S. J., Kalita, P. K., Janssen, K. A., & Barnes, P. L. (2002). Soil loss predictions with three erosion simulation models. Environmental Modelling & Software, 17(2), 135-144.
Borrelli, P., Lugato, E., Montanarella, L., & Panagos, P. (2017). A new assessment of soil loss due to wind erosion in European agricultural soils using a quantitative spatially distributed modelling approach. Land degradation & development, 28(1), 335-344.‏
Borrelli, P., Robinson, D. A., Fleischer, L. R., Lugato, E., Ballabio, C., Alewell, C., ... & Panagos, P. (2017). An assessment of the global impact of 21st century land use change on soil erosion. Nature communications, 8(1), 2013.
Bouyoucos, G. J. (1962). Hydrometer method improved for making particle size analyses of soils 1. Agronomy journal, 54(5), 464-465.‏
Bronick, C. J., & Lal, R. (2005). Manuring and rotation effects on soil organic carbon concentration for different aggregate size fractions on two soils in northeastern Ohio, USA. Soil and Tillage Research, 81(2), 239-252.‏
Callot, Y., Marticorena, B., & Bergametti, G. (2000). Geomorphologic approach for modelling the surface features of arid environments in a model of dust emissions: application to the Sahara desert. Geodinamica Acta, 13(5), 245-270.
Chen, L., Gao, J., Ji, Y., Bai, Z., Shi, M., & Liu, H. (2014). Effects of particulate matter of various sizes derived from suburban farmland, woodland and grassland on air quality of the central district in Tianjin, China. Aerosol and Air Quality Research, 14(3), 829-839.‏
Chepil, W. S. (1954). Factors that influence clod structure and erodibility of soil by wind: III. Calcium carbonate and decomposed organic matter. Soil Science, 77(6), 473-480.‏
Colazo, J. C., & Buschiazzo, D. E. (2010). Soil dry aggregate stability and wind erodible fraction in a semiarid environment of Argentina. Geoderma, 159(1-2), 228-236.
Famiglietti, J. S., Rudnicki, J. W., & Rodell, M. (1998). Variability in surface moisture content along a hillslope transect: Rattlesnake Hill, Texas. Journal of hydrology, 210(1-4), 259-281.‏
Farid Giglo, B., Arami, A., & Akhzari, D. (2014). Assessing the Role of Some Soil Properties on Aggregate Stability Using Path Analysis (Case Study: Silty-Clay-Loam and Clay-Loam Soil from Gully Lands in North West of Iran). Ecopersia, 2(2), 513-523.‏
Feng, G., Sharratt, B., & Wendling, L. (2011). Fine particle emission potential from loam soils in a semiarid region. Soil Science Society of America Journal, 75(6), 2262-2270.
Gholami, H., & Mohammadifar, A. (2022). Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source. Scientific Reports, 12(1), 19342.
Giuffrida, F., C. Carla, M Angelo and L. Cherubino. 2016. Effects of salt stress imposed during two growth phases
Goossens, D. (1994). Effect of rock fragments on eolian deposition of atmospheric dust. Catena, 23(1-2), 167-189.‏
Goossens, D., & Riksen, M. J. P. M. (2004). Wind erosion and dust dynamics at the commencement of the 21st century. Wind erosion and dust dynamics: observation, simulation, modelling. Wageningen: ESW publications, 7-13.
Idah, M., & Musa, D. (2008). Determination of Erodibility Indices of Soils in Owerri West Local Government Area of Imo State, Nigeria.
Kouchami-Sardoo, I., Shirani, H., & Besalatpour, A. A. (2020). Determining the Features Influencing the Structural
Lal, R. (2017). Soil erosion by wind and water: problems and prospects. In Soil erosion research methods (pp. 1-10). Routledge.
Li, F. R., Zhang, H., Zhang, T. H., & Shirato, Y. (2003). Variations of sand transportation rates in sandy grasslands along a desertification gradient in northern China. Catena, 53(3), 255-272.‏
Li, F., Zhang, J., Huang, J., Huang, D., Yang, J., Song, Y., & Zeng, G. (2016). Heavy metals in road dust from Xiandao District, Changsha City, China: characteristics, health risk assessment, and integrated source identification. Environmental Science and Pollution Research, 23(13), 13100-13113.‏
Liu, M., Han, G., & Zhang, Q. (2019). Effects of soil aggregate stability on soil organic carbon and nitrogen under land use change in an erodible region in Southwest China. International journal of environmental research and public health, 16(20), 3809.‏
Liu, Y., Gao, Y., He, J., Zhou, Y., & Geng, W. (2023). An experimental investigation of wind erosion resistance of desert sand cemented by soybean-urease induced carbonate precipitation. Geoderma, 429, 116231.
Mahmoodabadi, M., Yazdanpanah, N., Sinobas, L. R., Pazira, E., & Neshat, A. (2013). Reclamation of calcareous saline sodic soil with different amendments (I): Redistribution of soluble cations within the soil profile. Agricultural water management, 120, 30-38.‏
Marshall, J. K. (1971). Drag measurements in roughness arrays of varying density and distribution. Agricultural Meteorology, 8, 269-292.
Marticorena, B., Bergametti, G., Gillette, D., & Belnap, J. (1997). Factors controlling threshold friction velocity in semiarid and arid areas of the United States. Journal of Geophysical Research: Atmospheres, 102(D19), 23277-23287.
Marzen, M., Kirchhoff, M., Marzolff, I., Aït Hssaine, A., & Ries, J. B. (2020). Relative quantification of wind erosion in argan woodlands in the Souss Basin, Morocco. Earth surface processes and landforms, 45(15), 3808-3823.
Mazaheri, M. R., & Mahmoodabadi, M. (2012). Study on infiltration rate based on primary particle size distribution data in arid and semiarid region soils. Arabian Journal of Geosciences, 5(5), 1039-1046.‏
McLean, E. O. (1982). Soil pH and lime requirement. Methods of soil analysis: Part 2 Chemical and microbiological properties, 9, 199-224.‏
Middleton, N. (2020). Health in dust belt cities and beyond—an essay by Nick Middleton. bmj, 371.
Middleton, N., & Kang, U. (2017). Sand and dust storms: Impact mitigation. Sustainability, 9(6), 1053.
Mina, M., Rezaei, M., Sameni, A., Moosavi, A. A., & Ritsema, C. (2021). Vis-NIR spectroscopy predicts threshold velocity of wind erosion in calcareous soils. Geoderma, 401, 115163.
Mina, M., Rezaei, M., Sameni, A., Riksen, M. J., & Ritsema, C. (2023). Estimating the indices of soil erodibility to wind erosion using pedo-and spectro-transfer functions in calcareous soils. Geoderma, 438, 116612.
Moosavi, A. A., & Sepaskhah, A. R. (2012). Determination of unsaturated soil hydraulic properties at different applied tensions and water qualities. Archives of Agronomy and Soil Science, 58(1), 11-38.‏
Mu, Q. (2010). Effect of nonerodible grains on wind erosion control. Journal of Geophysical Research: Atmospheres, 115(D21).‏
Nelson, D. W., & Sommers, L. E. (1982). Total carbon, organic carbon, and organic matter. Methods of soil analysis: Part 2 chemical and microbiological properties, 9, 539-579.‏
Pásztor, L., Négyesi, G., Laborczi, A., Kovács, T., László, E., & Bihari, Z. (2016). Integrated spatial assessment of wind erosion risk in Hungary. Natural Hazards and Earth System Sciences, 16(11), 2421-2432.‏
Richards, L. A. (Ed.). (1954). Diagnosis and improvement of saline andalkali soils (No. 60). US Government Printing Office.‏
Shahabinejad, N., Mahmoodabadi, M., Jalalian, A., & Chavoshi, E. (2020). The influence of soil properties on the wind erosion rate at different regions of Kerman Province.‏
Shahabinejad, N., Mahmoodabadi, M., Jalalian, A., & Chavoshi, E. (2019). In situ field measurement of wind erosion and threshold velocity in relation to soil properties in arid and semiarid environments. Environmental Earth Sciences, 78(16), 501.‏
Shao, Y. (Ed.). (2008). Physics and modelling of wind erosion. Dordrecht: Springer Netherlands.‏
Shepherd, G., Terradellas, E., Baklanov, A., Kang, U., Sprigg, W., Nickovic, S., ... & Joowan, C. (2016). Global assessment of sand and dust storms.
Sirjani, E., Sameni, A., Moosavi, A. A., Mahmoodabadi, M., & Laurent, B. (2019). Portable wind tunnel experiments to study soil erosion by wind and its link to soil properties in the Fars province, Iran. Geoderma, 333, 69-80.‏
Sparks, D. L., Page, A. L., Helmke, P. A., & Loeppert, R. H. (Eds.). (2020). Methods of soil analysis, part 3: Chemical methods. John Wiley & Sons.‏
Tatarko, J. (2001). Soil aggregation and wind erosion: processes and measurements. Annals of arid zone, 40(3), 251-264.‏
Tian, M., Gao, J., Zhang, L., Zhang, H., Feng, C., & Jia, X. (2021). Effects of dust emissions from wind erosion of soil on ambient air quality. Atmospheric Pollution Research, 12(7), 101108.
Warrence, N. J., Bauder, J. W., & Pearson, K. E. (2002). Basics of salinity and sodicity effects on soil physical properties. Departement of Land Resources and Environmental Sciences, Montana State University-Bozeman, MT, 129, 1-29.‏
Webb, N. P., McGowan, H. A., Phinn, S. R., & McTainsh, G. H. (2006). AUSLEM (AUStralian Land Erodibility Model): A tool for identifying wind erosion hazard in Australia. Geomorphology, 78(3-4), 179-200.
Yan, N., Marschner, P., Cao, W., Zuo, C., & Qin, W. (2015). Influence of salinity and water content on soil microorganisms. International soil and water conservation Research, 3(4), 316-323.‏
Yang, G., Sun, R., Jing, Y., Xiong, M., Li, J., & Chen, L. (2022). Global assessment of wind erosion based on a spatially distributed RWEQ model. Progress in Physical Geography: Earth and Environment, 46(1), 28-42.
Yang, Y., Li, Y., & Zhang, J. (2016). Chemical speciation of cadmium and lead and their bioavailability to cole (Brassica campestris L.) from multi-metals contaminated soil in northwestern China. Chemical Speciation & Bioavailability, 28(1-4), 33-41.‏
Yazdanpanah, N., Mahmoodabadi, M., & Cerdà, A. (2016). The impact of organic amendments on soil hydrology, structure and microbial respiration in semiarid lands. Geoderma, 266, 58-65.‏
Zhao, Y., Gao, G., Ding, G., Wang, L., Chen, Y., Zhao, Y., ... & Zhang, Y. (2022). Assessing the influencing factors of soil susceptibility to wind erosion: A wind tunnel experiment with a machine learning and model-agnostic interpretation approach. Catena, 215, 106324.
Zobeck, T. M., & Popham, T. W. (1990). Dry aggregate size distribution of sandy soils as influenced by tillage and precipitation. Soil Science Society of America Journal, 54(1), 198-204.‏
Zou, X., Li, J., Cheng, H., Wang, J., Zhang, C., Kang, L., ... & Zhang, F. (2018). Spatial variation of topsoil features in soil wind erosion areas of northern China. Catena, 167, 429-439.