Comparison between estimated annual soil lossusing RUSLE model with data from the erosion pins and plots in Khamsan representative watershed

Document Type : Research Article


1 Sc. Student of Watershed Management, Faculty of Natural Resources, TarbiatModares University, Noor, Iran

2 Department of Watershed Management Engineering, Faculty of Natural Resources, TarbiatModares University, Noor, Iran


The presentstudy aimed to compare the annual soil loss prediction of RUSLE model with the soil erosion measurements using erosion pins and plots in Khamesan representative watershed, Kurdistan Province. For this purpose, the distributed annual soil loss was estimated by RUSLE model. The suspended sediment samples were then collected daily for one year (2015/7 to 2016/6) in hydrometry station at the watershed outlet. Soil erosion was also measured in pins and plot located in North, West and East aspects of control subwatershed at the same period. The sediment delivery ratio (SDR) was then calculated through dividing total sediment load and erosion of the watershed resulted from three methods of RUSLE, erosion pins and plots. Results indicated that in plot method, the erosion generalized to the whole watershed (0.06 t ha-1 y-1) was much lower than reality and therefore, SDR was overestimated (655%). In erosion pin method, the erosion generalized to the whole watershed (76.79 t ha-1 y-1) was much more than reality and therefore, SDR was underestimated (0.51%). Whereas in RUSLE method, SDR was estimated more acceptably (2.21%) and estimated soil erosion by model (18.53 t ha-1 y-1) was clearly closer to reality. Therefore, generalizing the results of erosion pins and plots considering only the area ratio, can not be a suitable estimate of erosion to the whole watershed. Investigating watershed topography showed that low-slope area in the middle and downstream probably is the main factor of sediment trapping and decreasing sediment transport ratio to the watershed outlet.


[1] Rahman, M.R., Shi, Z.H., andChongfa, C., 2009. Soil erosion hazard evaluation-an integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies. Ecological Modelling, 220(13): 1724-1734.
[2] Refahi, H. (1996). Water erosion and its control. Tehran University Press.167P. (In Persian).
[3] Wischmeier, W.H., and Smith, D.D., 1978. Predicting rainfall erosion losses - A guide to conservation planning. Agricultural Handbook No. 537. United States Department of Agriculture Washington DC, 58 P.
[4] Oliveira, P.T.S., Wendland, E., and Nearing, M.A. 2013. Rainfall erosivity in Brazil: A review. Catena, 100: 139-147.
[5]Gitas, I.Z., Douros, K., Minakou, C., Silleos, G.N., andKarydas, C.G., 2009. Multi-temporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model. EARSeLeProceedings, 8(1): 40-52.
[6]Renard, K.G., Foster, G.R., Weesies, G.A., and McCool, D.K., 1996. Predicting soil erosion by water. A guide to conservation planning with the revised universal soil loss equation (RUSLE). Agricultural. Handbook 703. US Govt Print Office, Washington, DC, 383 P.
[7] Lu, H., Moran, C.J., and Prosser, I.P., 2006. Modelling sediment delivery ratio over the Murray Darling Basin. Environmental Modelling and Software, 21(9): 1297-1308.
[8] Kasai, M., Marutani, T., Reid, L.M., andTrustrum, N.A., 2001. Estimation of temporally averaged sediment delivery ratio using aggradational terraces in headwater catchments of the Waipaoa River, North Island, New Zealand. Earth Surface Processes and Landforms, 26(1): 1-16.
[9]Vrieling, A., 2006. Satellite remote sensing for water erosion assessment: A review. Catena, 65(1): 2-18.
[10]Weifeng, Z., andBingfang, W., 2008. Assessment of soil erosion and sediment delivery ratio using remote sensing and GIS: a case study of upstream Chaobaihe River catchment, north China. International Journal of Sediment Research, 23(2): 167-173.
[11] Jain, S.K., Kumar, S., and Varghese, J., 2001. Estimation of soil erosion for a Himalayan watershed using GIS technique. Water Resources Management, 15(1): 41-54.
[12] Pandey, A., Chowdary, V.M., and Mal B.C., 2007. Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resources Management, 21(4): 729-746.
[13]Kouli, M., Soupios, P., andVallianatos, F. 2009. Soil erosion prediction using the revised universal soil loss equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece. Environmental Geology, 57(3): 483-497.
[14]Bahadur, K.K., 2009. Mapping soil erosion susceptibility using remote sensing and GIS: a case of the Upper Nam Wa Watershed, Nan Province, Thailand. Environmental Geology, 57(3): 695-705.
[15]Prasannakumar, V., Vijith, H., Abinod, S., andGeetha, N., 2012. Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology. Geoscience Frontiers, 3(2): 209-215.
[16]Farhan, Y., Zregat, D. and Farhan, I., 2013. Spatial estimation of soil erosion risk using RUSLE approach, RS, and GIS techniques: a case study of Kufranja Watershed, Northern Jordan. Journal of Water Resource and Protection, 5(12): 1247.
[17] Abdul Rahaman, S., Aruchamy, S., Jegankumar, R. and Abdul Ajeez, S., 2015. Estimation of Annual Average Soil Loss, Based on RUSLE Model in Kallar Watershed, Bhavani Basin, Tamil Nadu, India. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-2/W2: 207-214.
[18]Zandi, J.,Habibnezhad, M. and Solaimani, K., 2013. Assessment of Soil Erosion Risk Map and its relationship with environmental factors (case study: Vazrud watershed, Mazandaran).Rangeland Watershed Management,66(3):401-415. (In Persian).
[19]Rahimi, Kh., and Mazbani, M., 2013. Assess changes Sivand basin erosion during the years 1988 to 2009 using the model RUSLE. Journal of Environmental Erosion Research, 3(1):1-18. (In Persian).
[20]Rokhbin, M., Nohegar, A., Kamali, A.R., and Habibllahian, M.H., 2014. Evaluating the Amount of Erosion and Sediment in Lavarefin Watershed (Hormozgan Province) By Using Remote sensing (RS), Geographic Information System (GIS), and Empirical Model (RUSLE). GeographicalResearch, 29(114):89-104.
[21]Rezai, P.,Faridi, P., Ghorbani, M.,Kazemi, M., 2014. Soil erosion using models and identify the most effective factor in watershed RUSLE Gabric-southeast province.Quantitative geomorphological researches, 3(1):97-113. (In Persian)
[22]Sadeghi, S.H.R., Gholami L., and Khaledi Darvishan A.,2008. Compare Estimation Methods of delivery Chhlgzy watershed dam winter storm in Kurdistan. Journal of Water and Soil (Agricultural Scienes and Technology),22(1):141-150. (In Persian)
[23]Gholami, L., Sadeghi, S.H.R., and Khaledi Darvishan, A.,2009. Modeling Storm-Wise Sediment Delivery Ratio Model in Chehelgazi Watershed by using Climatic and Hydrologic Characteristics. Agricultural Sciences and Natural Resources,16(2): 253-260. (In Persian)
[24] Chang, M. 2006. Forest hydrology: an introduction to water and forest. Second Edition, Iowa State University, 474 P.
[25] Ramos-Scharron, C.E., and MacDonald, L.H. 2007. Development and Application of a GIS-Based Sediment Budget Model, Environmental Management, 84(2): 157-172.
[26] General Office of Natural Resources, Kurdistan Province, 2014.Final Report of Watershed Management Studies of Khamsan RepresentativeWatershed,124 P.
[27]Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K. and Yoder D.C., 1997. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE) (Agricultural Handbook 703). US Department of Agriculture, Washington, DC, 404 P.
[28] Cooper, K., 2011. Evaluation of the Relationship between the RUSLE R-Factor and Mean Annual Precipitation. (last access: 15 January 2015), 2011.
[29].Patil, R.J., and Sharma, S.K., 2013. Remote Sensing and GIS based modeling of crop/cover management factor (C) of USLE in Shakker river watershed. International Conference on Chemical, Agricultural and Medical Sciences (CAMS-2013) Dec. 29-30, 2013 Kuala Lumpur, Malaysia, 4 P.
[30] Durigon, V.L., Carvalho, D.F., Antunes, M.A.H., Oliveira, P.T.S. and Fernandes, M.M., 2014. NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. International Journal of Remote Sensing, 35(2): 441-453.
[31] Troeh, F.R., Hobbs, J.A. and Donahue, R.L., 1980. Soil and water conservation for productivity and environmental protection. 3rd Edition. Prentice-Hall, Inc. 624 P.
[32] Mahdavi, M. (2011) Applied Hydrology. Vol. 2, 7thEdition, Tehran University Press, 437 P. (In Persian).
[33] Walling, D.E., Collins, A. L., Sichingabula, H.M., and Leeks, G.J.L., 2001. Integrated assessment of catchment suspended sediment budgets: a Zambian example. Land Degradation and Development, 12(5): 387-415.
[34] Romkens, M.J., Helming, K., and Prasad, S.N., 2002. Soil erosion under different rainfall intensities, surface roughness, and soil water regimes. Catena, 46(2): 103-123.
[35] Hartanto, H., Prabhu, R., Widayat, A.S., andAsdak, C., 2003. Factors affecting runoff and soil erosion: plot-level soil loss monitoring for assessing sustainability of forest management. Forest Ecology and Management, 180(1): 361-374.
[36]Khaledi Darvishan, A., Sadeghi, S.H., Homaee, M., and Arabkhedri, M., 2014. Measuring sheet erosion using synthetic color-contrast aggregates. Hydrological Processes. 28(15): 4463-4471.
[37]Mutchler, C. and Larson, C., 1971. Splash Amounts from Waterdrop Impact on a Smooth Surface. Water Resources Research, 7: 195-200.
[38]Zachar, D., 1982. Soil Erosion. Elsevier. Bratislava, Czechoslovakia, 548 P.
[39]Auerswald, K., 1993. Influence of Initial Moisture and Time since Tillage on Surface Structure Breakdown and Erosion of a Loessial Soil. Catena Supplement, 24: 93-101.
[40]Kinnell, P.I.A., 2005. Raindrop-Impact-Induced Erosion Processes and Prediction: A Review. Hydrological Processes, 19: 2815-2844.
[41] Ghahramani, A. Ishikawa, Y., Gomi, T. Shiraki, K., and Miyata, Sh., 2011. Effect of Ground Cover on Splash and Sheetwash Erosion over a Steep Forested Hillslope: A Plot-Scale Study. Catena, 85: 34-47.
[42]Parsons, A.J. and Stone, P.M., 2006. Effects of Intra-Storm Variations in Rainfall Intensity on Interrill Runoff and Erosion. Catena, 67: 68-78.
Volume 3, Issue 4
January 2017
Pages 669-680
  • Receive Date: 30 November 2016
  • Revise Date: 27 December 2016
  • Accept Date: 30 December 2016
  • First Publish Date: 30 December 2016