Articles | Volume 15, issue 2
https://doi.org/10.5194/nhess-15-225-2015
https://doi.org/10.5194/nhess-15-225-2015
Research article
 | 
04 Feb 2015
Research article |  | 04 Feb 2015

Modelling soil erosion at European scale: towards harmonization and reproducibility

C. Bosco, D. de Rigo, O. Dewitte, J. Poesen, and P. Panagos

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Cited articles

Angeli, L., Bottai, L., Costantini, R., Ferrari, R., Innocenti, L., and Siciliano, G.: Valutazione del rischio erosione: Applicazioni del modello RUSLE, Internal Report RI07-04, LAMMA-CRES, 2004.
Angima, S. D., Stott, D. E., O'Neill, M. K., Ong, C. K., and Weesies, G. A.: Soil erosion prediction using RUSLE for central Kenyan highland conditions, Agr. Ecosyst. Environ., 97, 295–308, 2003.
Bazzoffi, P.: Erosione del Suolo e Sviluppo Rurale: Fondamenti e manualistica per la valutazione agro ambientale, Edagricole, Bologna, 264 pp., 2007.
Beasley, D. B., Huggins, L. F., and Monke, E. J.: ANSWERS a model for watershed planning, T. ASABE, 23, 938–944, 1980.
Beck, M. B., Jakeman, A. J., and McAleer, M. J.: Construction and evaluation of models of environmental systems, in: Modelling Change in Environmental Systems, edited by: Beck, M. B. and McAleer, M. J., John Wiley and Sons, 3–35, 1995.
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Short summary
A new pan-European map of soil erosion is presented following a novel extension of the RUSLE model (e-RUSLE) designed for data-poor regional assessment and for identifying areas in Europe where to concentrate efforts for preventing soil degradation. e-RUSLE exploits the array-based semantics of a multiplicity of factors (semantic array programming). A climatic ensemble of an array of erosivity equations is considered along with a new factor for better considering soil stoniness within the model.
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