Investigating the Effects of Land Cover Changes on Water Erosion Intensity Using the RUSLE Model in the Sahlabad Watershed

Document Type : Research Paper

Authors

1 Department of Environment, Faculty of natural resources and environment, University of Birjand, Birjand, Iran.

2 Iranian National Institute for Oceanography and Atmospheric Science, Tehran, 1411813389, Iran.

Abstract

Water erosion, especially in dry and semi-arid regions, is one of the most significant environmental challenges, playing a crucial role in the degradation of natural resources. Modeling tools such as RUSLE, in conjunction with GIS for spatial analysis and remote sensing, provide the ability to quantify and map erosion-prone areas. This study was conducted in the Sahlabad watershed to evaluate water erosion intensity and assess the influence of environmental factors, including rainfall erosivity, soil erodibility, topography, vegetation cover, and conservation practices. The RUSLE model was applied using meteorological data and spatial information derived from remote sensing and GIS techniques. Ultimately, water erosion intensity was classified into five categories: very low, low, moderate, high, and very high. The respective percentages for each category, from very low to very high erosion, were 79.49%, 0.95%, 8.83%, 10.21%, and 0.50%, respectively. The results highlight the importance of vegetation conservation and appropriate land management practices for reducing soil loss and protecting the Kaji Wetland. To reduce soil loss, preventing cultivation in vulnerable areas and planting Tamarix trees are recommended.

Keywords

Main Subjects


Abedini, M., Pasban, A. H., & Nori, A. (2025). Relationship between vegetation and morphometric indices with soil erosion rate in Meshkin Chai watershed using RUSLE model. Journal of Arid Regions Geographic Studies16(61), 1-24. https://doi.org/10.22034/jargs.2025.485712.1157
Abiyat, M., Abiyat, M., & Abiyat, M. (2021). Investigation of land-use changes and their impacts on soil erosion in Baghmalek basin using artificial neural network and RUSLE model. Journal of Environmental Studies, 47(1), 89–110. https://doi.org/10.22059/jes.2021.324250.1008180
Alemayehu, S., Getahun, E., & Jothimani, M. (2025). Spatial and temporal analysis of soil erosion and sediment yield in the Shafe Watershed, Main Ethiopian Rift Region: Integrating RUSLE model, GIS, and remote sensing techniques. Discover Sustainability, 6, 1–31. https://doi.org/10.1007/s43621-025-01427-y 
Amah, J. I., Aghamelu, O. P., Omonona, O. V., & Onwe, I. M. (2020). A study of the dynamics of soil erosion using RUSLE2 modelling and geospatial tool in Edda-Afikpo Mesas, South Eastern Nigeria. Pakistan Journal of Geology, 4(2). https://doi.org/10.2478/pjg-2020-0007 
Babaei Olam, T., & Abedini, M. (2025). Soil erosion hazard assessment and its relationship with environmental factors (A case study of the Virmooni watershed, Guilan Province). Geography and Human Relationships, 7(3), 497–517. https://doi.org/10.22034/gahr.2024.472081.2225  
Birhanu, L., Mekonen, Y., Tilahun, A., Amsalu, N., & Balzter, H. (2024). Impact of land use and land cover change on soil erosion in Dondor watershed, Blue Nile Basin, Northwestern Ethiopia. Sustainability, 16(23), 10421. https://doi.org/10.3390/su162310421 
Bogale, A. (2020). Review: Impact of land use/cover change on soil erosion in the Lake Tana Basin, Upper Blue Nile, Ethiopia. Applied Water Science, 10, 1–6. https://doi.org/10.1007/s13201-020-01325-w 
Das, S., Deb, P., Bora, P. K., & Katre, P. (2021). Comparison of RUSLE and MMF soil loss models and evaluation of catchment scale best management practices for a mountainous watershed in India. Sustainability, 13(1), 232. https://doi.org/10.3390/su13010232 
Fatolazadeh, T. (2015). Examine the types and severity of erosion in the sub-basins watershed Navrood.  Physical Geography Quarterly, 8(27). 24-38. https://doi.org/20.1001.1.20085656.1394.8.27.3.0
Ghahremani, R., Omidvar, E., & Dokhani, S. (2025). Evaluating the effect of biological practices on the soil loss by remote sensing-based RUSLE model in Chikan and Morzian watershed. Journal of Arid Regions Geographic Studies16(59), 68-86. https://doi.org/10.22034/jargs.2024.458266.1112
Hesami, S. D., Nazarnejad, H., Erfanian, M., Abghari, H., Mahmoodi, M. A., & Rostami Khalaj, M. (2024). Estimation of soil erosion rate in Gaushan watershed using RUSLE 3D model. Environment and Water Engineering, 10(3), 392–407. https://doi.org/10.22034/ewe.2024.421459.1898
Jahun, B. G., Ibrahim, R., Dlamini, N. S., & Musa, S. M. (2015). Review of soil erosion assessment using RUSLE model and GIS. Journal of Biology, Agriculture and Healthcare, 5(9), 36–47. https://doi.org/10.5194/HESS-22-6059-2018
Karami, E., Ghorbani Dashtaki, S., & Khalili Moghadam, B. (2017). Effect of land management on soil erodibility: Case study of part of the Zayandeh Rud watershed. Journal of Agricultural Engineering, 40(2), 105–119. https://doi.org/10.22055/agen.2018.18172.1281
Madadi, A., Asghari, S., & Hajatpour, H. (2024). Investigating changes in the forest cover Ghaleroodkhan Fuman watershed and its effects on watershed erosion using object-oriented classification and MABAC multi-criteria algorithm. Quantitative Geomorphological Research13(1), 119-138. https://doi.org/10.22034/gmpj.2024.432332.1477
Mathewos, M., Wosoro, D., & Wondrade, N. (2024). Quantification of soil erosion and sediment yield using the RUSLE model in Boyo watershed, Central Rift Valley Basin of Ethiopia. Heliyon, 10(10), e11234. https://doi.org/10.1016/j.heliyon.2024.e31246 
Mohammadi, M., Fallah, M., Kavian, A., Gholami, L., & Omidvar, E. (2016). The Application of RUSLE Model in Spatial DistributionDetermination of Soil loss Hazard. Journal of Ecohydrology3(4), 645-658. https://doi.org/10.22059/ije.2016.60368
Nesru, M. (2025). Soil erosion assessment using the RUSLE model, remote sensing, and GIS in the Woybo Watershed, Ethiopia. Agricultural Research, 14(2), 351–362. https://doi.org/10.1007/s40003-024-00769-9 
Panagos, P., Borrelli, P., Poesen, J., Ballabio, C., Lugato, E., Meusburger, K., Montanarella, L., & Alewell, C. (2015). The new assessment of soil loss by water erosion in Europe. Environmental Science & Policy, 54, 438–447. https://doi.org/10.1016/j.envsci.2015.08.012 
Piroozi, E., Asghari Saraskanroud, S., & Zeinali, B. (2025). Investigating the effects of land use changes on soil erosion in Meshkinshahr County. Journal of Environmental Erosion Research, 15(1), 147–165. https://doi.org/10.61186/jeer.15.1.147 
Refahi, H. (2009). Water erosion and its control. Tehran University Press.
Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., & Yoder, D. C. (1997). Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). Agriculture Handbook No. 703. USDA.
Saffari, A., Nouri, A. A., & Karami, J. (2018). Investigation about the influence of land-cover and land use changes on soil erodibility potential, case study: Gharesou, Gorganrood. Journal of Spatial Analysis Environmental Hazards. 5(1). 83-96. https://doi.org/10.29252/jsaeh.5.1.83
Shahab Arkhazloo, H., Emami, H., Haghnia, G.H., & Esmali, A. (2016). Comparing the Analytic Hierarchy Process (AHP) and fuzzy logic for zoning the risk of gully erosion in the three regions of the Ardebil province. Journal of Environmental Erosion Research, 6(1), 1-16. https://doi.org/20.1001.1.22517812.1395.6.1.4.7
TEIMOURI, F., Bazrafshan, O., & Rafiei Sardoei, E. (2019). Assessment of Climate Change and Land Use Change on Soil Erosion (Case study: Kondaran watershed). Journal of Ecohydrology6(2), 353-368. https://doi.org/10.22059/ije.2019.274886.1038
Weslati, O., & Serbaji, M. M. (2024). Spatial assessment of soil erosion by water using RUSLE model, remote sensing and GIS: A case study of Mellegue Watershed, Algeria–Tunisia. Environmental Monitoring and Assessment, 196, 14. https://doi.org/10.21203/rs.3.rs-2696076/v1 
Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses: A guide to conservation planning. U.S. Department of Agriculture.