Wind Tunnel and Threshold Wind Velocity Simulation in Different Land-Units of Sand and Dust Storm Sources

Authors
1 PhD Student in kashan university
2 Corresponding author., Associate Prof., Faculty of Natural Resources and Earth Sciences, Kashan University, Iran
3 . Assistant Prof., Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
Abstract
Aims: Dust is a natural hazard that predominantly occurs worldwide in arid and semi-arid regions. As such, it poses a significant challenge in the Khuzestan Province. This investigation seeks to understand more about the spatial distribution of dust sources based on landunits. Additionally, the study aims to estimate the threshold velocity and soil erodibility in Mahshahr, Omidiyeh, and Hendijan sources using a wind tunnel.

Materials & Methods: Due to the location of the relevant areas in flat and plain regions, the selection of samples and generally the basis of this research is on land types. Thus, in the mentioned study area, 32 points were selected. Then, by taking the average of each landunit, ten points were selected as the surface soil sample and transferred to the wind tunnel laboratory. Then, the velocity of the erosion threshold and the erodibility of the soil were measured at speeds of 15, 20, 25, and 30 (m.s-1) for a period of two (min). Findings: The results of wind erosion threshold estimation in the studied area showed that the velocity of wind erosion threshold varied from 17-6 (m.s-1), and the erosion rate ranged from 30 to 2200 (gr.m-2.min-1) at a wind velocity of 20(m.s-1). The lowest threshold velocity is located in the sedimentary plains of Jarahi-Mahshahr, located in the northwest of the center, and the highest amount of erosion was in the alluviums and Alluvial Fans of Hendijan anticline, located in the southeast of the center.

Conclusion: This study considers the primary factor of dust emission potential based on landunits and reveals the substantial of alluvium, alluvial fans, and alluvial plains as significant contributors to the erodible sediment contributing to dust emissions in the study area. Alluviums and alluvial fans deposited by ephemeral rivers in the eastern foothills of Hendijan contain fine-grained sediments and marl that are highly erodible and must be stabilized early on. Furthermore, according to the results of granulation tests conducted by the Chepil theory, the erodibility of all samples collected from the dust sources of Khuzestan Province was high, and all samples were sensitive to wind erosion. By locating dust sources based on land-units, we can implement more accurate and effective land stabilization methods against wind erosion in alluvium, alluvial fans, and alluvial plains. Furthermore, using the Chipel theory and grain size, we can classify the soil erosion susceptibility of these areas

Keywords

Subjects


1. Lal R., Stewart B.A. Soil degradation a global threat. Adv Soil S .1990; vol.11: 12-16. https://www.amazon.com/Soil-Degradation-Advances-Science. Vol/dp/0387971262.
2. Leys J.F., Raupach M.R. Soil flux measurements using a portable wind erosion tunnel. Austr. J. Soil Res. 1991; 29: 4. 533-552. https://doi.org/10.1071/SR9910533.
3. Azimzadeh H. R, Fotouhi,F., The effect of desert pavement on soil wind erodibility and wind erosion threshold velocity Case Study: Ebrahimabad basin of Mehriz (Yazd). Quantitative Geomorphological Research. 2015; 4(2): 90-104. https://doi.org/10.22092/ijrdr.2014.5809.
4. Saad al-Din A. Akhzari D., Nora N. Predicting the Effects of Vegetation Management Scenarios on Wind Erosion Risk (Case Study South of Varamin Plain), J. Soil Water Conserv. 2010; Vol. 17, No. 1, pp. 63-80. https://doi.org/ 10.22059/JDESERT.2012.24744.
5. Naorem, A., Jayaraman, S., Dang, Y.P., Dalal, R.C., Sinha, N.K., Rao, C.S., Patra, A.K. Soil Constraints in an Arid Environment—Challenges, Prospects, and Implications. Agronomy, 2023. 13, 220. https://doi.org/10.3390/agronomy13010220.
6. MohammadKhan S., Kashfi F. s. The directions of wind-blown sand transport in Ardestan region through the temporal comparison of sand dune morphometry and wind characteristics, Quantitative Geomorphology Researches. 2015; vol.4, 1 pp. 74. https://doi.org/ 20.1001.1.22519424.1394.4.1.5.8.
7. Khosravi F., Tazeh M., Saremi naeini Ma., Kalantari S. Evaluation and comparison of Image and GIS softwares with mechanical sieving in automatic particle-size distributions. Arid. Biome.2020; 9(2):29-42. https://doi.org/ 10.29252/ARIDBIOM.2020.1814.
8. Zamani S., Mahmoodabadi M. Effect of particle-size distribution on wind erosion rate and soil erodibility. Arch. Agron. Soil Sci. 2013; 59(12): 1743-1753. https://doi.org/10.1080/03650340.2012.748984.
9. Fister W., Ries J. B. Wind erosion in the central Ebro Basin under changing land use management. Field experiments with a portable wind tunnel, J Arid Environ. 2009; V73. pp 996-1004. https://doi.org/10.1016/j.jaridenv.2009.05.006.
10. Webb N. P., Galloza M. S., Zobeck T. M., Herrick J. E. Threshold wind velocity dynamics as a driver of aeolian sediment mass flux, Aeolian Res. 2016; V20. pp. 45-58. http://dx.doi.org/10.1016/j.aeolia.2015.11.006.
11. Ayazi Z., Mesbahzadeh I., Ahmadi H., Mashhadi N. Investigation of sedimentometric power in geomorphological facies using wind tunnel and Orifar model (Case study: Aran Kashan), "J. Desert Manag. 2016; No. 8, pp. 70-83. https://doi.org/10.22034/JDMAL.2017.24663.
12. Noorzadeh Haddad M., Landi A. Mineralogy study and sensitivity of fine dust production sources to gravel cover in the soil surface, a case study of western lands of Khuzestan province, Geographical Data. 2018; Vol. 18, No. 64, pp. 61-74. URL: http://geographical-space.iau-ahar.ac.ir/article-1-2270-en.html.
13. Zamani S. Mahmoudabadi M. Effect of particle-size distribution on wind erosion rate and soil erodibility, Arch. Agron. Soil Sci. 2012; 1 issue, 1 pp. https://doi.org/10.1080/03650340.2012.748984.
14. Mohammadnia M. Amirahmadi A., Zangane Asadi M.A. Sensitivity of geomorphological facies using wind tunnel Case study: Gonabad TownShip, Phys Geogr. 2022; Vol.54, No.https://sid.ir/paper/1062155/en.
15. Mina M., Sameni A., Moosavi A.,Ghanbari Y. Prediction of wind erosion threshold Velocity Using Portable Wind Tunnel Combined with Machine Learning Algorithms. IJSWR.2023;54(6),933-947. HTTPS://DOI.ORG/10.22059/IJSWR.2023.354837.669506
16. Ministry of Jahad & Agriculture. Comprehensive studies of the dust center of Khuzestan province (soil and land resources). J. Nat. Resour. For. Rangelands; 2019.
17. Rezaei, M., Mina, M., Ostovari, Y., & Riksen, M. J. P. M. Determination of the threshold velocity of soil wind erosion using a wind tunnel and its prediction for calcareous soils of Iran. Land Degradation &Development. 2022; 33(13), 2340–2352. https://doi.org/10.1002/ldr.4309
18. Azimzadeh H., Ekhsati M. Wind erosion investigating the effect of physical and chemical properties of soil on Threshold velocity of wind erosion (case study: Yazd-Ardakan Plain). Natresour J. 2004 ; Volume 57, Number 2, pp. (in persian). https://sid.ir/paper/22890/fa
19. Zhang G., Li L., Tang W., Liu L., Shi P., Han X., Da J. Wind erosion from crusted playa surfaces by no saltation and with saltation: A comparison through laboratory wind tunnel experiments, Int. Soil Water Conserv. Res. 2023; Vol 11, P, 518-527. https://doi.org/10.1016/j.iswcr.2022.10.007.
20. Ahmadi H. Applied Geomorphology. second volume, desert and wind erosion, Third edition, Tehran: Tehran University Publication; 2017; 613 p.455-456.
21. Chepil W.S. Dynamics o wind erosion: III. The transport capacity of the wind. soil sci.1945; 60:475-480. http://dx.doi.org/10.1097/00010694-194510000-00004.
22. Azimzadeh H. R., Derakhshan, Z, & Shirgahi, F. Field scale spatio-temporal variability of wind erosion transport capacity and soil loss at Urmia Lake. Environ. Res.. 2022; 215, 114250. DOI: 10.1016/j.envres.2022.114250.
23. Kouchami-Sardoo, I., Shirani, H., Esfandiarpour-Boroujeni, I., Besalatpour, A. A., & Hajabbasi, M. A. Prediction of soil wind erodibility using a hybrid Genetic algorithm–Artificial neural network method. Catena. 2020; 187, 104315. https://doi.org/10.1016/j.catena.2019.104315.
24. Sirjani E., Sameni A., Moosavi, A. A., Mahmoodabadi, M., & Laurent, B. Portable wind tunnel experiments to study soil erosion by wind and its link to soil properties in the Fars province, Iran. Geoderma, 2018; 333, 69-80. https://doi.org/10.1016/j.geoderma.2018.07.012.
25. Katheryn R. Kolesar a, Mark D. Schaaf, John W. Bannister a, Maarten D. Schreuder, Mica H. Heilmann b .Characterization of potential fugitive dust emissions within the Keeler Dunes, an inland dune field in the Owens Valley, California, United States.; Aeol. Res . 2022; 54(1):100765. https://doi.org/10.1016/j.aeolia.2021.100765.
26. Bullard, J. E., S. P. Harrison, M. C. Baddock, N. Drake, T. E. Gill, G. McTainsh, and Y. Sun. Preferential dust sources: A geomorphological classification designed for use in global dust-cycle models. J. Geophys. Res. 2011; 116, F04034. https://doi.org/ 10.1029/2011JF002061.
27. Cahill, T. A., T. E. Gill, J. E. Reid, E. A. Gearhart, and D. A. Gillette. Saltating particles, playa crusts and dust aerosols from Owens (Dry) Lake, California; Earth Surf Processes Landforms; 1996. 21, 621–639. https://doi.org/10.1002/(SICI)1096-9837(199607)21:7<621::AID-ESP661>3.0.CO;2-E.
28. Gillette, D. A., Blifford, I. H., Jr., & Fryrear, D.W. The influence of wind velocity on the size distributions of aerosols generated by the wind erosion of soils. Journal of Geophysical Research;1974, 79(27), 4068e4075. https://doi.org/10.1029/JC079i027p04068.
29. X. Zuo, C. Zhang, X. Zhang et al., Wind tunnel simulation of wind erosion and dust emission processes, and the influences of soil texture, ISWCR., 2023; 08.005. https://doi.org/10.1016/j.iswcr.
30. Stout, J.E. Dust and environment in the Southern High Plains of North America. J. Arid Environ. 2001; 47: 421-441. https://doi.org/10.1006/jare.2000.0732
31. Bullard J.E. & Livingstone, I. Interactions between aeolian and fluvial systems in dryland environments. 2022. Area 34, 8–1. https://doi.org/ 10.1111/1475-4762.00052.
32. Sweeney, M. R., Mason, Joseph A. Mechanisms of dust emission from Pleistocene loess deposits, Nebraska, USA. 2013; J. Geophys. Res. Earth Surf. 118 (3), 1460–1471. https://doi.org/10.1002/jgrf.20101.
33. Abbasi H.R. Land sensitivity to wind erosion in Omidiyeh-Hendijan-Mahshahr dust sources, Technical report, Research Institute of Forests and Rangelands Iran. 2021; p.105.