References (in Persian)
Ahmadi, A., & Seddighi-Far, Z. (2017). Estimation of soil erosion and sediment yield using the Revised Universal Soil Loss Equation (RUSLE) in Hableh Rood Watershed.
Physical Geography Quarterly,
10(3 (Serial 37)), 83-103.
20.1001.1.20085656.1396.10.37.6.7. [In Persian].
Ansari Lari, A., & Ansari, M. (2018). Estimate the amount of soil erosion in Marvdasht plain (Iran, Fars) by RUSLE Model. Quantitative Geomorphological Research, 4(4), 134-149. [In Persian].
Ansari Lari, A. and Ansari, M. (2017). Evaluation of soil erosion risk and sedimentation potential by using EPM model in Gabric basin- SE Hormozgan- Iran. Journal of Natural Environmental Hazards, 6(11), 1-14. doi: 10.22111/jneh.2017.2965. [In Persian].
Asadi, H., Jafari, M., Ashrafzadeh, A., & Sharifi, A.. (2018). Forecasting the effect of climate change on soil erosion hazard in Navrood watershed.
JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 25(2 ), 235-250.
10.22069/jwsc.2018.12223.2679 .[In Persian].
Babaei, M. , Hosseini, S. Z. , Nazari Samani, A. and Almodaresi, S. A. (2016). Assessment of soil erosion using RUSLE 3D, case study: Kan Watershed. Watershed Engineering and Management, 8(2), 165-181. doi: 10.22092/ijwmse.2016.106454. [In Persian].
Barabarian, A. and Mohseni, N. (2025). Spatio-Temporal Modeling of Soil Erosion Using the RUSLE Model and Its Impact on Soil Quality. Geography and Environmental Planning, 36(2), 113-140. doi: 10.22108/gep.2025.145683.1732. [In Persian].
Ebrahimzadeh, S. , Argany, M. and Mirdar Harijani, F. (2024). Modeling the rate of soil erosion and sediment yield using the RUSLE / SDR model in the Dizgaran watershed. Journal of Natural Environmental Hazards, 13(39), 1-24. doi: 10.22111/jneh.2024.39109.1823. [In Persian].
Ghobishawi, Y. and Zakerinejad, R. (2025). Evaluation and Comparison of Different Data Mining Models for Identifying Areas at Risk of Gully Erosion (Study Area: Mian Ab Watershed in Khuzestan Province). Physical Geography Research, doi: 10.22059/jphgr.2025.387445.1007862. [In Persian].
Ghabishavi, Y., & Zakerinezhad, R. (2025). Evaluation and Zonation of Gully Erosion Risk in the Mianab Shushtar Watershed.
The 11th International Conference on Environmental Engineering, Geography and Natural Resources.
http://openaccess.ir/c/eiconf11/paper\_1504066. [In Persian].
Hesami, S. D., Nazarnajad, H., Erfanian, M., Abghari, H., Mahmoudi, M. A., & Rostami-Khalaj, M. (2024). Estimation of soil erosion rate in Gavashan watershed using the RUSLE 3D model.
Environment and Water Engineering,
10(3), 392–407.
https://doi.org/10.22034/ewe.2024.421459.1898. [In Persian].
Khaledi Darvishan, A. , Faraji, J. , Gholami, L. and Khorsand, M. (2021). Spatio-temporal variation of soil erosion in Khamsan representative watershed using RUSLE. Watershed Engineering and Management, 13(3), 534-547. doi: 10.22092/ijwmse.2021.128809.1752. [In Persian].
Kordavani, P. (2002). Soil Conservation, 7th Edition, Tehran University Press [In Persian].
Madadi, A. , asghari saraskanroud, S. , Neghahban, S. and Marhamat, M. (2023). Application of Support Vector Machine (SVM) and Boosted Regression Tree (BRT) to Model the Sensitivity of Gully Erosion in the Watershed of Shore River Moher City. Physical Geography Research, 55(4), 83-101. doi: 10.22059/jphgr.2023.360424.1007775. [In Persian].
Mirzadeh Koohshahi F, Akbarian M, Khoorani A. (2023). Assessing Climate Change Impact on Soil Erosion in Minab Watershed, Iran.
E.E.R. 13 (2) :63-81.
20.1001.1.22517812.1402.13.2.4.8. [In Persian].
Mohammadi, M. , Fallah, M. , Kavian, A. , Gholami, L. and Omidvar, E. (2016). The Application of RUSLE Model in Spatial DistributionDetermination of Soil loss Hazard. Journal of Ecohydrology, 3(4), 645-658. doi: 10.22059/ije.2016.60368. [In Persian]
Mohammadi , Sh, Karimzadeh, HR., & Alizadeh, M. (2018). Spatial estimation of soil erosion in Iran using RUSLE model.
IRANIAN JOURNAL OF ECOHYDROLOGY, 5(2 ), 551-569.
https://sid.ir/paper/254031/en. [In Persian].
Nezhadafzali, K. , Shahrokhi, M. R. and Bayatani, F. (2019). Assessment soil erosion using RUSLE model and identification the most effective factor in Dekhan watershed basin of southern Kerman. Journal of Natural Environmental Hazards, 8(20), 21-38. doi: 10.22111/jneh.2018.21894.1316. [In Persian].
Noor, H. and Arabkhedri, M. (2023). Prediction of soil erosion and sediment delivery ratio using RUSLE at Sanganeh soil conservation research station. Water and Soil Management and Modelling, 3(1), 42-53. doi: 10.22098/mmws.2022.11085.1098. [In Persian].
Rezaee, P., Faridi, P., Ghorbani, M., & Kazemi, M. (2014). Estimation of soil erosion using the RUSLE model and identification of its most effective factor in the Gabrik Watershed, southeastern Hormozgan province.
Quantitative Geomorphological Research,
3(1), 97–113.
20.1001.1.22519424.1393.3.1.7.3. [In Persian].
Teimouri, F., Bazrafshan, Oo., & Rafiei sardoei, e. (2019). Assessment of Climate Change and Land Use Change on Soil Erosion (Case study: Kondaran.
IRANIAN JOURNAL OF ECOHYDROLOGY, 6(2 ), 353-368.
10.22059/ije.2019.274886.1038. [In Persian].
Vosoghi, S. , Zakerinejad, R. and entezari, M. (2025). Prediction of Gully Erosion and identifying factors affecting it using the Maximum Entropy Model and BCC-CSM2-MR climate change models for the years 2020-2040 (case study: Alamarvdasht watershed). Journal of Geography and Planning, 28(90), 163-141. doi: 10.22034/gp.2023.57572.3169. [In Persian].
Zakerinejad R. (2023). Evaluating the Rate of Soil Erosion and Sedimentation of the Khasoyeh Watershed Using the USPED Model and GIS and its Comparison to Water Erosion Types.
E.E.R. 13 (3) :239-256.
20.1001.1.22517812.1402.13.3.12.8. [In Persian].
Zakeri,R. and Falah,S. (2023). Evaluation of Water Erosion Hazard Map Using the Combination of the RUSLE Model and Gully Erosion Density Map in Alamarvdasht Watershed of Fars Province, Iran. Quantitative Geomorphological Research, 11(4), 189-209. doi: 10.22034/gmpj.2022.360905.1375. [In Persian].
Zakerinejad,R. and Moavi,M. (2024). Investigating the effects of land use changes on vegetation (Case study: Mian-Ab watershed in the period 2000-2020). Journal of Arid Regions Geographic Studies, 15(55), 147-132. doi: 10.22034/jargs.2023.407397.1049. [In Persian].
References (in English)
Belasri,A., A, Lakhouili and Oumaima, Iben Halima. (2017). Soil erodibility mapping and its correlation with soil properties of Oued El Makhazine watershed, Morocco, Journal of Materials and Environmental Science, Vol8(9): 3208-3215.
Casabella-González, M. J., Borselli, L., & García-Meza, J. V. (2021). Soil Horizon erodibility assessment in an area of Mexico susceptible to gully erosion. Journal of South American Earth Sciences, 111, 103497.
Fazly Yusof, Mohd.,Rozi, Abdullah., Nor Azazi,Zakari andAminuddin AB, Ghani.(2011). Modified Soil erodibility factor, K for Peninsular Malaysia soil series, 3rd International Conference on Managing Rivers in the 21st Century.
Hudson N. Soil conservation. Shahid Chamran University Press; 1993.
Kamaludin, H., Lihan, T., Rahman, Z. A. R., Mustapha, M. A., Idris, W. M. R., & Rahim, S. A. (2013). Integration of remote sensing, RUSLE and GIS to model potential soil loss and sediment yield (SY). Hydrology and Earth System Sciences Discussions, 10(10), 4567–4596. DOI: 10.5194/hessd-10-4567-2013
Marques, V. S., Ceddia, M. B., Antunes, M. A. H., Carvalho, D. F., Anache, J. A. A., Rodrigues, D. B. B., & Oliveira, P. T. S. (2019). USLE K-Factor Method Selection for a Tropical Catchment.
Sustainability,
11(7), 1840.
https://doi.org/10.3390/su11071840
Merchán, L., Martínez-Graña, A. M., Alonso Rojo, P., & Criado, M. (2023). Water Erosion Risk Analysis in the Arribes del Duero Natural Park (Spain) Using RUSLE and GIS Techniques.
Sustainability, 15(2), 1627.
https://doi.org/10.3390/su15021627.
Morgan, R. P. C. (2009). Soil erosion and conservation. John Wiley & Sons.
Nearing m, foster g, lane l.(1989). aprocess-based soil erosion model for usda water erosion prediction project. transactions of asae. 32(5):1587_1593.
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). U.S. Department of Agriculture, Agriculture Handbook No. 703.
Tang, W., Liu, H., & Liu, B. (2013). Effects of gully erosion and gully filling on soil degradation in the black soil region of Northeast China.
Journal of Mountain Science, 10, 913-922.
https://doi.org/10.1007/s11629-013-2560-5.
Tucker, C. J. (1979). "Red and photographic infrared linear combinations for monitoring vegetation." Remote Sensing of Environment, 8(2), 127-150.
Wang, Bin., Zheng, Fenli and Guan, Yinghui. (2016). Improved USLE-K factor prediction: A case study on water erosion areas in China, International Soil and Water Conservation Research, Vol 4: 168-176.
Williams, J. (1990). The erosion-productivity impact calculator (EPIC) model: a case history.
Philosophical Transactions of the Royal Society B, 329(1255), 421–428.
https://doi.org/10.1098/RSTB.1990.0184.
Wischmeier, W.H., & Smith, D.D. (1978) Predicting Rainfall Erosion Losses. A Guide to Conservation Planning. The USDA Agricultural Handbook No. 537, Maryland.
Zhang, B., Zhang, G., Yang, H., Wang, H., & Li, N. (2018). Soil erodibility affected by vegetation restoration on steep gully slopes on the Loess Plateau of China. Soil Research, 56, 712-723. https://doi.org/10.1071/SR18129.
Zhu, D., Wang, T. W., Cai, C. F., Li, L., & Shi, Z. H. (2009). Large‐scale assessment of soil erosion using a neuro‐fuzzy model combined with GIS: A case study of Hubei Province, China. Land Degradation & Development, 20(6), 654-666.