Evaluating soil erosion by water in a small alpine catchment in Northern Italy: comparison of empirical models


To quantify water erosion rates and annual soil loss in mountainous areas, two different empirical models were used to estimate the effects of soil erosion in a small mountain basin, the Guerna Creek watershed, located in the Central Southern Alps (Northern Italy). These two models, Revised Universal Soil Loss Equation (RUSLE) and Erosion Potential Model (EPM), were implemented in a Geographical Information System, accounting for the geographical, geomorphological, and weather-climate parameters, which are fundamental to evaluating the intensity and variability of the erosive processes. Soil characterization was supported by laboratory analysis. The results (computed soil loss of 87 t/ha/year and 11.1 m3/ha/year, using RUSLE equation and EPM method, respectively, and sediment yield of 7.5 m3/ha/year using EPM method) were compared to other studies reported in the literature for different case studies with similar topographic and climatic features, as well as to those provided by the European Soil Data Centre (ESDAC). In both cases, the agreement was satisfactory, showing consistency of the adopted procedures to the parametrization of the physical processes.

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  1. Angeli L (2004) Sviluppo di metodologie di analisi per la stima dell’erosione dei suoli con applicazione specifica ad un’area pilota. LaMMA-CRES (Laboratorio di Monitoraggo e Modellistica Ambientale per lo sviluppo sostenibile-Centro Ricerche Erosione Suolo), istituto di Biometeorologia, Regione Toscana, December 2004 (in Italian)

  2. Auddino M, Dominici R, Viscomi A (2015) Evaluation of yield sediment in the Sfalassà Fiumara (south-western, Calabria) by using Gavrilovic method in GIS environment. Rendiconti Online della Società Geologica Italiana 33:3–7. https://doi.org/10.33.01/ROL.2015.01

    Article  Google Scholar 

  3. Bagarello V, Ferro V (2006) Erosione e conservazione del suolo, ed. McGraw-Hill Education, Milano (in Italian)

  4. Bandini A (1931) Rainfall dominant types on Italian regions. Technical report, Ministry of Public Works, Rome, Italy (in Italian)

  5. Barontini S, Grossi G, Kouwen N, Maran S, Scaroni P, Ranzi R (2009) Impacts of climate change scenarios on runoff regimes in the southern Alps. Hydrol Earth Syst Sci Discuss 6:3089–3141

    Google Scholar 

  6. Berteni F, Grossi G (2020) Water soil erosion evaluation in a small alpine catchment located in Northern Italy: potential effects of climate change. Geosciences 10:386. https://doi.org/10.3390/geosciences10100386

    Article  Google Scholar 

  7. Bosco C, Oliveri S (2007) Chapter 3: case studies. In: Climate change, impacts and adaptation strategies in the alpine space. Strategic INTERREG III B Project CLIMCHALP, Natural Hazard Report, Milano

  8. Bosco C, Rusco E, Montanarella L, Oliveri S (2008) Soil erosion risk assessment in the alpine area according to the IPCC scenarios. In: Toth G, Montanarella L, Rusco E (eds) JRC scientific and technical reports “threats to soil quality in Europe, pp 47–58. http://publications.jrc.ec.europa.eu/repository/handle/JRC46574

  9. Brambilla D, Longoni L, Papini M, Giorgetti E, Radice A (2011) On analysis of sediment sources toward proper characterization of hydro-geological hazard for mountain environments. Int J Saf Secur Eng 1(4):424–438. https://doi.org/10.2495/safe-v1-n4-424-438

    Article  Google Scholar 

  10. Brown LC, Foster GR (1987) Storm erosivity using idealized intensity distribution. Trans ASAE 30:379–386. https://doi.org/10.13031/2013.31957

    Article  Google Scholar 

  11. Castelli E, Gentili G, Crosa G, Compare S, Romanò A (2010) Effetti degli svasi di sedimento sulle biocenosi fluviali: il caso studio della Valgrosina. Studi Trentini Sci Nat 87:25–32 (In Italian)

    Google Scholar 

  12. Desmet PJJ, Govers G (1996) A GIS procedure for automatically calculating the USLE LS factor on topographically complex lanscape units. J Soil Water Conserv 51:427–433

    Google Scholar 

  13. Dominici R, Campolo F, Ferrari P, Modaffari D (2015) Tecniche per lo studio dell’analisi dell’erosione costiera con metodologie fotogrammetriche e telerilevate. Conferenza ASITA, Lecco (in Italian)

    Google Scholar 

  14. Efthimiou N, Lykoudi E (2016) Soil erosion estimation using the EPM model. Bull Geol Soc Greece 50:305–314. https://doi.org/10.12681/bgsg.11731

    Article  Google Scholar 

  15. Efthimiou N, Lykoudi E, Panagoulia D, Karavitis C (2016) Assessment of soil susceptibility to erosion using the EPM and RUSLE models: the case of Venetikos river catchment. Glob NEST J 18(1):164–179

    Article  Google Scholar 

  16. Engel B, Mohtar R (1999) Estimating soil erosion using RUSLE (Revised Universal Soil Loss Equation) and the Arcview GIS, Purdue University

  17. Espa P, Castelli E, Crosa G, Gentili G (2013) Environmental effects of storage preservation practices: controlled flushing of fine sediment from a small hydropower reservoir. Environ Manag 52:261–276. https://doi.org/10.1007/s00267-013-0090-0

    Article  Google Scholar 

  18. Gavrilovic Z (1988) The use of an empirical method (Erosion Potential Method) for calculating sediment production and transportation in unstidied or torrential streams. In: International conference river regime, 18–20 May 1988, pp 411–422

  19. Gianinetto M, Aiello M, Polinelli F, Frassy F, Rulli MC, Ravazzani G, Bocchiola D, Chiarelli DD, Soncini A, Vezzoli R (2019) D-RUSLE: a dynamic model to estimate potential soil erosion with satellite time series in the Italian Alps. Eur J Remote Sens 52(sup4):34–53. https://doi.org/10.1080/22797254.2019.1669491

    Article  Google Scholar 

  20. http://www.arpalombardia.it/Pages/ARPA_Home_Page.aspx. Accessed on 13 May 2020

  21. http://www.geoportale.regione.lombardia.it/. Accessed on 13 May 2020

  22. http://www.oglioconsorzio.it. Accessed on 13 May 2020

  23. https://esdac.jrc.ec.europa.eu/. Accessed on 13 May 2020

  24. https://www.google.it/maps/. Accessed on 3 November 2020

  25. ISPRA (2013) Linee guida per la valutazone del dissesto idrogeologico e la sua mitigazione attraverso misure e interventi in campo agricolo e forestale. Manuali e linee guida 85/2013. http://www.isprambiente.gov.it/it/pubblicazioni/manuali-e-linee-guida(in Italian)

  26. Jebari S, Berndtsson R, Olsson J, Bahri A (2012) Soil erosion estimation based on rainfall disaggregation. J Hydrol. https://doi.org/10.1016/j.jhydrol.2012.03.001

    Article  Google Scholar 

  27. Mezzini E, Ventura F, Vittori Antisari L, Magnani F (2015) A RUSLE model application with GRASS GIS: an evaluation study in the Rio Centonara catchment. Geomatics workbooks n. 12, “FOSS4G Europe Como 2015”, pp 509–522

  28. Milanesi L, Pilotti M, Clerici A, Gavrilovic Z (2015) Application of an improved version of the erosion potential method in alpine areas, Italian. J Eng Geol Environ 1:17–30. https://doi.org/10.4408/ijege.2015-01.o-02

    Article  Google Scholar 

  29. Mitasova H, Brown WM (2002) Using soil erosion modeling for improved conservation planning: a GIS-based tutorial geographic modeling systems lab. University of Illinois at Urbana-Champaign, Champaign

    Google Scholar 

  30. Molnar D, Julien P (1998) Estimation of upland erosion using GIS. Comput Geosci 24:183–192. https://doi.org/10.1016/S0098-3004(97)00100-3

    Article  Google Scholar 

  31. Moore I, Burch G (1986) Physical basis of the length-slope factor in the universal soil loss equation. SoilSci Soc Am J 50:1294–1298. https://doi.org/10.2136/sssaj1986.03615995005000050042x

    Article  Google Scholar 

  32. Nearing MA (1997) A single, continuous function for slope steepness influence on soil loss. Soil Sci Soc Am J 61(3):917–919. https://doi.org/10.2136/sssaj1997.03615995006100030029x

    Article  Google Scholar 

  33. Pagliari D, Rossi L, Passoni D, Pinto L, De Michele C, Avanzi F (2017) Measuring the volume of flushed sediments in a reservoir using multi-temporal images acquired with UAS. Geomat Nat Hazards Risk 8(1):150–166. https://doi.org/10.1080/19475705.2016.1188423

    Article  Google Scholar 

  34. Panagos P, Meusburger K, Ballabio C, Borrelli P, Alewell C (2014) Soil erodibility in Europe: a high-resolution dataset based on LUCAS. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2014.02.010

    Article  Google Scholar 

  35. Panagos P, Ballabio C, Borrelli P, Meusburger K, Klik A, Rousseva S, Tadic MP, Michaelides S, Hrabalikova M, Olsen P, Aalto J, Lakatos M, Rymszewicz A, Dumitrescu A, Begueria S, Alewell C (2015a) Rainfall erosivity in Europe. Sci Total Environ 511(2015):801–814. https://doi.org/10.1016/j.scitotenv.2015.01.008

    Article  Google Scholar 

  36. Panagos P, Borrelli P, Meusburger K (2015b) A new European slope length and steepness factor (LS-factor) for modeling soil erosion by water. Geosciences 5:117–126. https://doi.org/10.3390/geosciences5020117

    Article  Google Scholar 

  37. Panagos P, Borrelli P, Meusburger K, Alewell C, Lugato E, Montanarella L (2015c) Estimating the soil erosion cover-management factor at the European scale. Land Use Policy 48:38–50. https://doi.org/10.1016/j.landusepol.2015.05.021

    Article  Google Scholar 

  38. Panagos P, Borrelli P, Meusburger K, Van der Zanden EH, Poesen J, Alewell C (2015d) Modelling the effect of support practices (P-factor) on the reduction of soil erosion by water at European scale. Environ Sci Policy 51:23–34. https://doi.org/10.1016/j.envsci.2015.03.012

    Article  Google Scholar 

  39. Panagos P, Borrelli P, Poesen J, Ballabio C, Lugato E, Meusburger K, Montanarella L, Alewell C (2015e) The new assessment of soil loss by water erosion in Europe. Environ Sci Policy 54:438–447. https://doi.org/10.1016/j.envsci.2015.08.012

    Article  Google Scholar 

  40. Pregnolato M, D’Amico M (2011) Water regime in the alpine space: soil erosion in a changing environment. Technical report, ADAPALP project-WP4, April 2011. https://doi.org/10.13140/2.1.4203.0404

  41. Ranzi R, Le TH, Rulli MC (2012) A RUSLE approach to model suspended sediment load in the Lo river (Vietnam): effects of reservoirs and land use changes. J Hydrol 422–423:17–29. https://doi.org/10.1016/j.jhydrol.2011.12.009

    Article  Google Scholar 

  42. Rellini I, Scopesi C, Olivari S, Firpo M, Maerker M (2019) Assessment of soil erosion risk in a typical Mediterranean environment using high resolution RUSLE approach (Portofino promontory, NW-Italy). J Maps 15(2):356–362. https://doi.org/10.1080/17445647.2019.1599452

    Article  Google Scholar 

  43. Renard KG, Foster GR, Weesies GA, Porter JP (1991) RUSLE revised universal soil loss equation. J Soil Water Conserv 46(1):30–33

    Google Scholar 

  44. Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE). USDA Agriculture Handbook, n. 703

  45. Romkens MJM, Prased SN, Poesen JWA (1986) Soil erodibility and properties. In: Transaction 13th congress of the international societyof soil sciences, Hamburg, Germany 5, pp 492–504

  46. Soil Survey Division Staff (1993) Soil survey manual. United States Department of Agriculture

  47. Toth G, Jones A, Montanarella L (2013) The LUCAS topsoil database and derived information on the regional variablity of cropland topsoil properties in the European Union. Environ Monit Assess 185(9):7409–7425. https://doi.org/10.1007/s10661-013-3109-3

    Article  Google Scholar 

  48. Wang L, Shi ZH, Wang J, Fang NF, Wu GL, Zhang HY (2014) Raifall kinetic energy controlling erosion processes and sediment sorting on steep hillslopes: a case study of clay loam soil from the Loess Plateau, China. J Hydrol 512:168–176. https://doi.org/10.1016/j.jhydrol.2014.02.066

    Article  Google Scholar 

  49. Wischmeier WH, Smith DD (1961) A universal equation for predicting rainfall-erosion losses. an aid to conservation farming in humid regions ARS special report 22–66. Agricultural Research Service, U.S. Department of Agriculture, Washington DC, p 11

  50. Wischmeier WH, Smith DD (1978). Predicting rainfall-erosion losses—a guide to conservation planning, U.S. Department of Agriculture, Agr. Handbook, n. 282

  51. Yesuph AY, Dagnew AB (2019) Soil erosion mapping and severity analysis based on RUSLE model and local perception in the Beshillo Catchment of the Blue Nile Basin, Ethiopia. Environ Syst Res 8:17. https://doi.org/10.1186/s40068-019-0145-1

    Article  Google Scholar 

  52. Zemljic M (1971) Calcul du debit solide-evaluation de la vegetation comme un des facteurs antiérosif. In: International symposium interpraevent, Villaco (in French)

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This work was supported by MC s.r.l., by the university research project (University of Brescia) Health and Wealth 2015 “URBAID (Rigenerazione urbana assistita e integrata)” and by the call H2020-SwafS-2016-17 Science with and for Society (European project: “SciShops”: Enhancing the Responsible and Sustainable Expansion of the Science Shops Ecosystem in Europe).

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Berteni, F., Barontini, S. & Grossi, G. Evaluating soil erosion by water in a small alpine catchment in Northern Italy: comparison of empirical models. Acta Geochim (2021). https://doi.org/10.1007/s11631-020-00447-x

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  • Water erosion
  • Alpine hydrology
  • EPM
  • Soil loss
  • Ungauged basin