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Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region (Spain)

References Angulo-Martínez, M., Beguería, S., 2009. Estimating rainfall erosivity from daily precipitation records: a comparison among methods using data from the Ebro Basin (NE Spain). J. Hydrol., 379, 111-121. Arnoldus, H.M.J., 1980. An approximation of the rainfall factor in the Universal Soil Loss Equation. In: De Boodt, M., Gabriels, D. (Eds.): Assessment of Erosion. John Wiley & Sons, Chichister, pp. 127-132. Bonilla, C.A., Vidal, K.L., 2011. Rainfall erosivity in Central Chile. J. Hydrol., 410, 1-2, 126

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Values of rainfall erosivity factor for the Czech Republic

References Angima, S.D., 2002. Soil erosion prediction using RUSLE for central Kenyan highland conditions. Journal of Sustainable Agriculture, 20, 3, 57-67. Auerswald, K. et al., 2009. Rates of sheet and rill erosion in Germany - A meta-analysis. Geomorphology. 111, 3-4, 182-193. Bonilla, C.A., Vidal, K.L., 2011. Rainfall erosivity in Central Chile. Journal of Hydrology, 410, 1-2, 126-133. Braunovič, S. et al., 2009. Determination of rain erosive power factor (R) for he region of Vranje

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Estimation of the Changes in the Rainfall Erosivity in Hungary

References Arnoldus, H.M.J. 1980. An approximation of the rainfall factor in the Universal Soil Loss Equation. In: De Boodt, M., Gabriels, D. (Eds.): Assessment of Erosion. John Wiley & Sons, Chichister, 127–132. Blanka, V., Mezősi, G., Meyer, B. 2013. Projected changes in the drought hazard in Hungary due to climate change, Idõjárás, J.Hungarian Meteorol. Serv., 117, 219–237. Borrelli, P., Diodato, N., Panago, P. 2016. Rainfall erosivity in Italy: a national scale spatio-temporal assessment. International Journal of Digital Earth, 2016 (online

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Predicting water erosion in arid lands using the GIS-based RUSLE model: A case study of Bedour catchment, central Tunisia

analysis of soil erosion analysis in watershed using GIS. PhD Thesis. Chuncheon Gang-Won National University. W ischmeier W.H., S mith D.D. 1965. Predicting rainfall erosion loss from cropland east of the Rocky Mountains. USDA Agriculture Handbook. No. 282 pp. 47. [Access 13.07.2018]. Available at: https://www.tucson.ars.ag.gov/unit/Publications/PDFfiles/501.pdf W ischmeier W.H., S mith D.D. 1978. Predicting rainfall erosion losses. A guide to conservation planning. USDA Agricultural Handbook. No. 537 Maryland pp. 58. Z ante P., C ollinet J., L

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Mapping erosion prone areas in the Bouhamdane watershed (Algeria) using the Revised Universal Soil Loss Equation through GIS

. Transactions of the ASAE. Vol. 32. Iss. 5 p. 1571-1576. MEDDI M., TOUMI S., ASSANI A.A. 2016. Spatial and temporal variability of the rainfall erosivity factor in Northern Algeria. Arabian Journal of Geosciences. Vol. 9. Iss. 4 p. 1-13. MITASOVA H., HOFIERKA J., ZLOCHA M., IVERSON L.R. 1996. Modeling topographic potential for erosion and deposition using GIS. International Journal of Geographical Information Systems. Vol. 10. Iss. 5 p. 629-641. MOORE I.D., BURCH G.J. 1986. Physical basis of the lengthslope factor in the

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Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria

ischmeier W.H., S mith D.D. 1978. Predicting rainfall erosion. A guide to conservation planning. USDA-ARS. Agriculture Handbook. No 537 pp. 58.

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Permanent turf grass as the factor alleviating water erosion in the Carpathian Mountains

. Evaluation of rainfall erosivity for east Poland. In: Runoff and sediment yield modeling. Eds K. Banasik, A. Żbikowski. Proceedings of Internationale Symposium. Warszawa, Wydaw. SGGW: 129-143. Banasik K., Górski D., Mitchell J. K., 2001. Rainfall erosivity for east and central Poland. In: Soil Erosion Research of the 21st Century. Proceedings of the Internationale Symposium. Honolulu, Hawai, ASAE: 279-282. Banasik K., Górski D., Skibiński J., 1995. Metodyka oceny intensywności erozji powierzchniowej i akumulacji rumowiska

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Estimation of water erosion threat of the Smuga stream basin in the Beskid Wyspowy / Ocena zagrożenia erozją wodną zlewni potoku Smuga w Beskidzie Wyspowym

-klimatycznych w Polsce. Przegl. Meteorol. i Hydrol., 1. JÓZEFACIUK C, JÓZEFACIUK A. 1995. Erozja agroekosystemów. Bibioteka Monitoringu Środowiska, Warszawa. Klasyfikacja uziarnienia gleb i utworów mineralnych – PTG. 2008. Polskie Towarzystwo Gleboznawcze [www.ptg.sggw.pl/uziarnienie.htm]. KORELESKI K. 1992. Próby oceny natężenia erozji wodnej. Zesz. Nauk. AR im. H. Kołłątaja w Krakowie, Sesja Naukowa, z. 35. LAUREIRO N. S., COUTINHO M. A. 1995. Rainfall changes and rainfall erosivity inrease in the Algavre (Portugal). Catena, vol. 24, nb. 1

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Comparison of two methods of erosive rains determination

., Dostál T., Govers G., 2003: Modelling sediment supply to rivers and reservoirs in eastern Europe during and after the collectivization period. Hydrobiologia, 494, 1-3, 169-176. Wischmeier W. H., Smith D. D., 1978: Predicting rainfall erosion losses - a guide to conservation planning. Agriculture Handbook, No. 537. Washington, D.C. USDA. 58 p.

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Erosion Assessment Modeling Using the Sateec Gis Model on the Prislop Catchment

-641. Morgan, R.P.C., Quinton, J.N., Smith, R.E., Govers, G., Poesen, J.W.A., Auerswald, K., Chisci, G., Torri, D., Styczen, M.E., (1998), The European Soil Erosion Model (EUROSEM): a dynamic approach for predicting sediment transport from fields and small catchments. Earth Surface Processes and Landforms 23, 527-544. Wischmeier, W.H., Smith, D.D., (1978), Predicting rainfall erosion losses. A guide to conservation planning. The USDA Agricultural Handbook No. 537.

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