Modelling Soil Erosion and Sediment Transport under Different Land Management Options in a Southern-Italy Watershed

Modelling Soil Erosion and Sediment Transport under Different Land Management Options in a Southern-Italy Watershed

I. Abuiziah T. Bisantino F. Gentile G. Trisorio Liuzzi 

Dipartimento di Scienze Agro-Ambientali e Territoriali - DISAAT, University of Bari “A. Moro”, Via Amendola 165/A 70126 Bari, Italy

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The aim of this study is to investigate the influence of different land management options on the sedi-ment load at the watershed scale. To reach this, the Annualized agricultural non-point source model was used in the Candelaro basin (2300 km2). The watershed is located in a semi-arid area of southern Italy (Puglia region) and is affected by extensive erosion processes on the hillslopes. The sediment transport simulations have been compared with the 15 years (1970–1984) data coming from measures taken in two sub-watersheds (Vulgano and Salsola). Later, the model has been applied for a period of 24 years (1985–2008) to evaluate the effects of different land management options on the sediment yield: traditional best management practices, environmentally targeted agricultural practices and water and soil conservation works. The results obtained in the first part of the work show that the Annual-ized agricultural non-point source model performs well in simulating runoff and sediment yields at the watershed scale. Furthermore, the analysis carried out shows that the model is an efficient tool to assess the influence of different management options in the long term and in different weather conditions.


AnnAGNPS model, sediment yield, soil erosion, surface runoff, watershed management options


[1] Beasley, D.B. & Huggins, L.F., ANSWERS (Areal Nonpoint Source Watershed Environment Response Simulation): User’s Manual, U.S. Environmental Protection Agency: Chicago, Illinois, 1982.

[2] Bingner, R. L., Theurer, F.D. & Yuan, Y., AnnAGNPS technical processes documentation, Version 5.0, USDA- Agricultural Research Service, National Sedimentation Laboratory: Oxford, MS, 2009.

[3] Sharpley, A.N. & Williams, J.R., EPIC-Erosion/Productivity Impact Calculator, USDA, Agricultural Research Service, Technical Bulletin No. 1768, Washington, D.C., pp. 235, 1990.

[4] Arnold, G., Srinavasan, R., Muttiah, R.S. & Williams, J.R., Large Area Hydrologic Modeling and Assessment. Part I. Model Development. Journal of the American Water Resources Association, 34, pp. 73–89, 1998. doi:

[5] Baginska, B., Milne-Home, W. & Cornish, P.S., Modelling nutrient transport in Currency Creek, NSW with AnnAGNPS and PEST. Environmental Modelling & Software, 18, pp. 801–808, 2003. doi:

[6] Sarangi, A., Cox C.A. & Madramootoo, C.A., Evaluation of the AnnAGNPS Model for prediction of runoff and sediment yields in St. Lucia watersheds. Biosystems Engineering, 97, pp. 241–256, 2007. doi:

[7] Yuan, Y., Locke, M.A. & Bingner R.L. Annualized Agricultural non-point source model application for Mississippi Delta Beasley Lake watershed conservation practices as-sessment. Journal of Soil and Water Conservation, 63(6), pp. 542–551, 2008. doi: http://

[8] Parajuli, P.B., Nelson, N.O., Frees, L.D. & Mankin, K.R., Comparison of AnnAGNPS and SWAT model simulation results in USDA-CEAP agricultural watersheds in south-central Kansas. Hydrological Processes, 23(5), pp. 748–763, 2009. doi: http://dx.doi. org/10.1002/hyp.7174

[9] Yuan, Y., Bingner, R.L. & Rebich, R.A., Evaluation of AnnAGNPS on Mississippi Delta MSEA watersheds. Transactions of the ASAE, 44(5), pp. 1183–1190, 2001.

[10] Shrestha, S., Babel Mukand, S., Das Gupta, A. & Kazama, F., Evaluation of annualized agricultural nonpoint source model for a watershed in the Siwalik Hills of Nepal. Environmental Modelling & Software, 21(7), pp. 961–975, 2006. doi: http://dx.doi. org/10.1016/j.envsoft.2005.04.007

[11] Licciardello, F., Zema, D.A., Zimbone, S.M. & Bingner, R. L., Runoff and soil erosion evaluation by the AnnAGNPS model in a small Mediterranean watershed. Transactions of the American Society of Agricultural and Biological Engineers (ASABE) 50(5): pp. 1585–1593, 2007.

[12] Gentile, F., Bisantino, T. & Trisorio Liuzzi, G., Erosion and sediment transport modeling in Northern Puglia watersheds. WIT Transaction on Engineering Sciences, 67, pp.199–212, 2010. doi:

[13] Lacombe, G., Cappelaere, B. & Leduc, C., Hydrological impact of water and soil conservation works in the Merguellil catchment of central Tunisia. Journal of Hydrology, 359, pp. 210–224, 2008. doi:

[14] Vache, K.B., Eilers, J.M. & Santelmann, M.V., Water Quality Modeling of Alternative Agricultural Scenarios in the US Corn Belt. Journal of the American Water Resources Association 38 (3), pp. 773–787, 2002. doi: tb00996.x

[15] Penman, H.L., Natural evaporation from open water, bare soil, and grass. Proc. Royal Soc. (London), Ser. A, 193, pp. 120–145, 1948. doi: rspa.1948.0037

[16] Theurer, F.D. & Cronshey, R.G., AnnAGNPS - Reach routing processes. Proc. of the First Federal Interagency Hydrologic Modeling Conference. Las Vegas, Nevada. April 19–23, pp. 1–25 to 1–32, 1998.

[17] Theurer, F.D. & Clarke, C.D., Wash load component for sediment yield modeling. Proc. of the Fifth Federal Interagency Sedimentation Conference, March 18-21, Las Vegas, NV: Subcommittee on Sedimentation of the Interagency Advisory Committee on Water Data, 1, pp. 7–1 to 7–8, 1991.

[18] Yoon J., Watershed scale non-point source pollution modelling and decision support system based on a model- GIS-RDBMS linkage. Proceedings of AWRA Symposium on GIS and Water Resources, Ft Lauderale, FL, 2-16,1996.

[19] Mohammed H., Yohannes F. & Zeleke G., Validation of agricultural non-point source (AGNPS) pollution model in Kori watershed, South Wollo, Ethiopia. International Journal of Applied Earth Observation and Geoinformation, 6, pp. 97–109, 2004. doi:

[20] Bisantino T., Bingner R., Chouaib W., Gentile F. & Trisorio Liuzzi G., Estimation of runoff, peak discharge and sediment load at the event scale in a medium-size Mediterranean watershed using the AnnAGNPS model. Land Degradration and Development, 2013. doi:

[21] Caliandro, A., Lamaddalena, N., Stellati, M. & Steduto, P., Caratterizzazione agroecologica della Regione Puglia in funzione della potenzialità produttiva: Progetto Acla 2, Puglia, Bari, 2005 (in italian).

[22] Nash, J.E. & Sutcliffe, J.V., River flow forecasting through conceptual models part I - A discussion of principles. Journal of Hydrology, 10, pp. 282–290, 1970. doi: http://