Alavi ,H.,Solaimani,K.,Shokrian,F.(2024). Esmaeil Mokhtarpour Investigation of Trend Changes of Hydroclimatic Parameters in Miankaleh Wetland, Mazandaran ,Hydrogeomorphology ,10(37):98- 119.

Abedini, M.; Pasban, A.H. (2023). Analysis and Zoning of Soil Erosion Rate and its Relationship with Hydrogeomorphic Indicators and Vegetation, Case Study: Khiavchai watershed, MeshkinShahr. Hydrogeomorphology, 11(38): 40-59.

Ammar, A.K., Alaa, m., Fadhil, K., Alzahrani, H., & Hamad, S. (2023). Predicting Soil Erosion Rate at Transboundary Sub-Watersheds in Ali Al-Gharbi, Southern Iraq, Using RUSLE-Based GIS Model, Sustainability, 15,1776.

Anima S, Tirkey P, Nathawat S (2023) Use of satellite data, GIS and RUSLE for estimation of average annual soil loss in Daltonganj watershed of Jharkhand (India). Journal of Remote Sensing Technology 1:1.

Arami, A., Karimi Sangchini, A., Dinarund, M. (2021). Tracking severe dust storms in the southwest of Iran using the HYSPLIT model, application of geographic information system and remote sensing in planning, 13 (47):13 -28.

Bayati, Maryam, Sari,Behroz (2024). Identifying the centers at risk of wind erosion around Lake Urmia,Case study: Bonab and Malekan cities. Hydrogeomorphology, 11 (39): 122-143.

Blanco, H., Lal, R. (2008). Principles of soil conservation and management: Heidelberg, Germany.: Springer .

Chang, K. T., (2020). Introduction to Geographic Information Systems. (5th edition). New York, USA. McGraw- Hill

Environment; A Case Study of Koga Watershed, Upper Blue Nile Basin, Ethiopia. Hydrol Current Res 7:239. doi:10.4172/2157-7587.1000239.

FAO. (2016). Status of the World’s Soil Resources.

Gelagay, H.S. (2016). RUSLE and SDR Model Based Sediment Yield Assessment in a GIS and Remote Sensing.

Jim Ritter, P. Eng. (2015). Replaces OMAFRA Factsheet, Soil Erosion – Causes and Effects, Order No. 87-040.

Imad Ali,MaryamByatikhatibi(2025). Soil erosion risk mapping with RUSLE model using GIS and remote sensing techniques; A case study of Quetta Sub-basin (Pakistan)A case study of Quetta Sub-basin (Pakistan),11(41): 67- 86.

Karami, Fariba; Mokhtari, Davoud; Farnoosh Ahmadi. (2023). The role of landforms and lithology in the rate of soil erosion in Zonuzchay catchment. Hydrogeomorphology, 10(37): 1 – 24.

Kayet, N., et al. (2018). Evaluation of soil loss estimation using the RUSLE model and SCS-CN method in hill slope mining areas. International SoilandWaterConservationResearch, https://doi.org/10.1016/j. iswcr.2017.11.002.

Leila Ooshaksaraie, Noor Ezlin Ahmad Basri, Azuraliza Abu Bakar and Khairul Nizam Abdul Maulud, 2009, An Expert System Prototype for Minimizing Soil Erosion on Construction Site in Malaysia, European Journal of Scientific Research, ISSN 1450-216X Vol.33 No.3 (2009), pp.454-460.

Madadi, Aghil; Asghari Saraskanrood, Sayyd;Hajatpour Ghaleroodkhani, Hossein.(2024). Investigating land use changeswith an emphasis on forest cover and its effects on soil erosion using object-oriented classification and theMARCOS multi-criteria technique. Case study: Ghaleroodkhan Fuman watershed. Hydrogeomorphology, 11(39):141 – 164.

Moore, I. D. & Wilson, J. P. 1992 Length-slope factors for the Revised Universal Soil Loss Equation: simplified method or estimation. Journal Soil Water Conservation. 45, 423-428.

Moses, AN .(2017).  GIS-RUSLE Interphase Modelling of Soil Erosion Hazard and Estimation of Sediment Yield for River Nzoia Basin in Kenya. J Remote Sensing & GIS 6: 205. doi: 10.4172/2469-4134.1000205.

Piroozi, E; Madadi, M. (2023). Zoning of soil erosion potential using the MABAC method Case study: Givi Chay watershed. Hydrogeomorphology, 10(36): 73–93.

Sahoo, S., Dhar, A., Kayet, N., & Kar, A., (2016). Detecting water stress scenario by land use/land cover changes in an agricultural command area. Spatial In- formation Research, 1-11.

Serbaji, M., Bouaziz, M., & Weslati, O. (2023). Soil Water Erosion Modeling in Tunisia Using RUSLE and GIS Integrated Approaches and Geospatial Data, Land, 12(548), 13-22.

Tung G. P., et al. (2018). INTEGRATED UNIVERSAL SOIL LOSS EQUATION (USLE) AND GEOGRAPHICAL INFORMATION SYSTEM (GIS) FOR SOIL EROSION ESTIMATION IN A SAP BASIN; CENTRAL VIETNAM. International Soil and Water Conservation Research.

Turner, B.L., et al. (2018). Scientific case studies in land-use driven soil erosion in the central United States:Whysoilpotentialandriskconceptsshouldbeincluded in the principles of soil health. International SoilandWaterConservationResearch, https://doi.org/10.1016/j. iswcr.2017.12.004i. 6(1):63-78.

Wang, G., G. Z. Gartner, P. Parysow, and A. B. Anderson. 2000; Spatial prediction and uncertainty analysis of topographical factors for the Revised Universal Soil Loss Equation. Journal of Soil and Water Conservation. 55: 373-382.

Wang, G., G. Z. Gartner, P. Parysow, and A. B. Anderson. 2010; Spatial prediction and uncertainty assessment of topographic factor for the Revised Universal Soil Loss Equation using digital elevation models. Journal of Photogrammetry and Remote Sensing. 56: 65-80.

Webster, R. & Oliver, M. A. 2021. Geostatistics for environmental science. John Wiley and Sons, LTD. Toronto, Canada, 271 p.

Www.omafra.gov.on.ca/english/engineer/facts/12-053.htm Jan 4, 2016.