Journal of Climate Research

Journal of Climate Research

The effect of climatic processes on wind erosion sensitivity (case study of Isfahan province)

Document Type : Original Article

Authors
Ali Salimi 1
tayebeh mesbahzadeh 2
Arash Malekian 2
1 Department of Rehabilitation of Dry and Mountainous regions, Faculty of Natural Resources, University of Tehran, karaj, Iran
2 Associate Professor, Department of Rehabilitation of Dry and Mountainous regions, Faculty of Natural Resources, University of Tehran
10.22034/jcr.2025.206070
Abstract
1. Introduction

Arid and semi-arid areas due to unfavorable environmental conditions affected by geology and climate along with human activities have made the ground for wind erosion very favorable. In the past few decades, the increase of greenhouse gases in the atmosphere caused by the expansion of industry and the increase in fossil fuel consumption and land use change has caused the stagnation of the trend of climate variables, especially the temperature of the earth (IPCC, 2014). Climatic parameters are one of the most effective factors of wind erosion, which are included in wind erosion models in the form of climate factor. Due to the fact that climatic parameters are exposed to many changes over time, therefore climatic changes can have an effect on soil erodibility. In this research, the effect of climatic parameters on wind erosion sensitivity is evaluated in the prevailing climate factor in the present and future.

2- Materials and methods

In this research, climate processes affecting wind erosion have been investigated. In order to investigate the effect of climatic processes on wind erosion sensitivity, two climatic factors, Chapil and FAO, were used. The Chapil climate factor calculates the sensitivity of the wind erosion climate factor using the parameters of temperature, precipitation and wind speed using the Chapil climate factor equation, and the FAO climate factor calculates the sensitivity using the parameters of temperature, precipitation, wind speed and evaporation and transpiration. Wind erosion is calculated using the FAO climate factor equation. In the following, the equations for calculating the climatic factor of Chapil and FAO are stated. The evaluation of wind erosion changes for the observation period (1992-2017) and the future (2100-2020) is evaluated by calculating the climate factor of each of the Chapil and FAO relationships separately, and the wind erosion changes are calculated for each equation. The obtained climatic factors show the sensitivity of wind erosion in the observation period and in the future.

3- Results

The results of the evaluation of Chapil's climate factor in the observation period showed that wind erosion has high fluctuations in all studied stations. Based on the results of this factor, erosion has been on the rise in the observation period. The results of Chapil factor in Daran station showed that the highest amount of erosion will occur in the future period under the RCP8.5 scenario and in 2073. The results of Chapil factor in Isfahan station showed that wind erosion had an upward trend between 2005 and 2008, then decreased and increased again since 2009. The results of the climatic factor of wind erosion of Chapil station of Khor and Biyabank in the observation period showed that there was a downward trend between 1994 and 2014 and it has increased since 2014. The results of the climatic factor of wind erosion of Nain Station in the observation period showed that erosion in this area has been on the rise since 2004. Also, the results for this station showed that the highest amount of erosion will occur in the future period under the RCP8.5 scenario in 2093. The results of the climate factor of wind erosion in Natanz station Chapil showed that wind erosion has increased in the observation period since 2005. The results of FAO wind erosion climatic factor of station operators in the observation period showed that wind erosion had an upward trend between 2006 and 2009 and decreased between 2011 and 2014. Also, in the future, the highest amount of erosion will occur in 2059 under the RCP2.6 scenario. The results of wind erosion climate factor of FAO station in Isfahan during the observation period showed that since 2005, the amount of wind erosion in this station has increased during the observation period. In the future period, the highest amount of wind erosion according to the FAO climate factor will occur in 2078 under RCP2.6. The results of FAO wind erosion climatic factor of Khor and Biabank stations in the observation period showed that between 2008 and 2015, the amount of wind erosion in this station decreased during the observation period and then increased in 2016. The results of the climatic factor of wind erosion of Nain station in the observation period showed that since 2005, the amount of wind erosion in this station has increased in the observation period. In the future period, the highest amount of wind erosion according to the FAO climate factor will occur in 2079 under RCP8.5. The results of wind erosion factor of FAO Natanz station in the observation period showed that between 2002 and 2007 the amount of wind erosion in this station increased during the observation period and then decreased in 2008.

4- Discussion and conclusion

The results of this survey for the observation period showed that the sensitivity of wind erosion has been increasing since the beginning of the period and reached its highest value in 2016. In recent years, due to many droughts, rainfall had a decreasing trend and wind speed and average temperature had an increasing trend, as a result, the sensitivity of wind erosion in the observation period has an increasing trend. The results of wind erosion climatic factors of Chapil and FAO showed that the average values of wind erosion sensitivity will decrease in the future period compared to the observation period. Changes in climate parameters in the future period showed that under the RCP scenarios, rainfall and temperature parameters will increase and wind parameters will decrease. In general, the results showed that the effect of increasing rainfall and decreasing wind speed in the future period on climate factors is greater than the effect of temperature increase on the factors and the sensitivity of wind erosion in the future period will decrease compared to the observation period.
Keywords
sensitivity"
climatic factors"
Chapil climate factor"
FAO climate factor"
"
Wind erosion"
1-    Aghakhani Afshar, A., Hassanzadeh, Y., Besalatpour, A. A., & Pourreza Bilondi, M. (2017). Annual assessment of Kashafrood watershed basin climate components in future periods by using fifth report of intergovernmental panel on climate change. Journal of Water and Soil Conservation, 23(6), 217-233.  (in Persian)
2-    Ahmadi, H. (2006). Applied Geomorphology Vol. 2,(Desert-Wind Erosion). In: University of Tehran press. (in Persian)
3-    Aizen, E. M., Aizen, V. B., Melack, J. M., Nakamura, T., & Ohta, T. (2001). Precipitation and atmospheric circulation patterns at mid‐latitudes of Asia. International Journal of Climatology: A Journal of the Royal Meteorological Society, 21(5), 535-556. 
4-    Almazroui, M., Islam, M. N., Saeed, F., Alkhalaf, A. K., & Dambul, R. (2017). Assessing the robustness and uncertainties of projected changes in temperature and precipitation in AR5 Global Climate Models over the Arabian Peninsula. Atmospheric Research, 194, 202-213. 
5-    Bayat Movahed, F., Nikkami, D., & Shami, H. (2010). Soil erosion mitigation approaches in rainfed farms. Journal of Watershed Engineering and Management.  (in Persian)
6-    Dong, Y.-x., & Kang, G.-d. (1994). Study on the wind erosion climatic erosivity in arid and semi-arid areas in China. Journal of Soil and Water Conservation, 8(3), 1-7. 
7-    Frey, K. E., & Smith, L. C. (2003). Recent temperature and precipitation increases in West Siberia and their association with the Arctic Oscillation. Polar Research, 22(2), 287-300. 
8-    Gao, T., Han, J., Wang, Y., Pei, H., & Lu, S. (2012). Impacts of climate abnormality on remarkable dust storm increase of the Hunshdak Sandy Lands in northern China during 2001–2008. Meteorological Applications, 19(3), 265-278. 
9-    Gomes, L., Arrue, J., Lopez, M., Sterk, G., Richard, D., Gracia, R., Sabre, M., Gaudichet, A., & Frangi, J. (2003). Wind erosion in a semiarid agricultural area of Spain: the WELSONS project. Catena, 52(3-4), 235-256. 
10-    Lee, J., Phillips, D., & Benson, V. (1999). Soil erosion and climate change: Assessing potential impacts and adaptation practices. Journal of Soil and Water Conservation, 54(3), 529-536. 
11-    Leenders, J., Van Boxel, J., & Sterk, G. (2005). Wind forces and related saltation transport. Geomorphology, 71(3-4), 357-372. 
12-    Lian-You, L., Shang-Yu, G., Pei-Jun, S., Xiao-Yan, L., & Zhi-Bao, D. (2003). Wind tunnel measurements of adobe abrasion by blown sand: profile characteristics in relation to wind velocity and sand flux. Journal of Arid Environments, 53(3), 351-363. 
13-    Mezősi, G., Blanka, V., Bata, T., Ladányi, Z., Kemény, G., & Meyer, B. C. (2016). Assessment of future scenarios for wind erosion sensitivity changes based on ALADIN and REMO regional climate model simulation data. Open Geosciences, 8(1), 465-477. 
14-    Mezösi, G., Meyer, B. C., Loibl, W., Aubrecht, C., Csorba, P., & Bata, T. (2013). Assessment of regional climate change impacts on Hungarian landscapes. Regional Environmental Change, 13, 797-811. 
15-    Mirakbari, M., Mesbahzadeh, T., Mohseni Saravi, M., Khosravi, H., & Mortezaie Farizhendi, G. (2018). Performance of series model CMIP5 in simulation and projection of climatic variables of rainfall, temperature and wind speed (case study: Yazd). Physical Geography Research Quarterly, 50(3), 593-609.  (in Persian)
16-    Movahedan, M., Abbasi, N., & KERAMATI, T. M. (2013). Experimental investigation of Polyvinyl Acetat effect on wind erosion of different soils by impacting sand particles.  (in Persian)
17-    Nordstrom, K. F., & Hotta, S. (2004). Wind erosion from cropland in the USA: a review of problems, solutions and prospects. Geoderma, 121(3-4), 157-167. 
18-    Pahlavanravi, A., Moghadamnia, A., Hashemi, Z., Javadi, M. R., & Miri, A. (2013). Evaluation of desertification intensity with wind erosion criterion using MICD and FAO-UNEP models in Zahak region of Sistan.  (in Persian)
19-    Pouyan, S., Mirakbari, M., & AFZALI, S. (2015). Estimating the wind erosion climatic factor using regional distribution function. (in Persian)
20-    Rezaei, M., Sameni, A., Shamsi, S. R. F., & Bartholomeus, H. (2016). Remote sensing of land use/cover changes and its effect on wind erosion potential in southern Iran. PeerJ, 4, e1948.  (in Persian)
21-    Shamshiri, S., Jafari, R., Soltani, S., & Ramezani, N. (2014). Dust detection and mapping in Kermanshah province using MODIS satellite imagery. Iranian Journal of Applied Ecology, 3(8), 29-42.  (in Persian)
 
22-    Shao, Y. (2008). Physics and modelling of wind erosion. Springer. 
23-    Yang, F., & Lu, C. (2016). Assessing changes in wind erosion climatic erosivity in China’s dryland region during 1961–2012. Journal of Geographical Sciences, 26, 1263-1276. 
 
Journal of Climate Research
Volume 1403, Issue 59 - Serial Number 59
Vol. 15, No. 59,, Autumn 2024
Winter 2025
Pages 61-73