Finding Simplicity in Storm Erosivity Modelling

Chapter
Part of the Advances in Natural and Technological Hazards Research book series (NTHR, volume 39)

Abstract

Precipitation variability and extremes have always been part of the Earth’s climate system, though they can manifest in many ways, both spatially and temporally. The chapter explores quantitative concepts of rainfall (storm) erosivity useful for soil erosion monitoring as well as for hydrological extreme events assessment. In this way, a review of the storms erosivity models was done in order to account indicators of climatic changes on both spatial and temporal domains. Most models here summarized were run to estimate erosivity for specific time aggregation levels (from event to multidecadal). For erosion modelling, it would be also preferable to be able to calculate an estimated erosivity value for a particular site. However, different parameterisation options were given in the chapter for accounting of the geographical location effects. The purpose of this chapter was to synthesize and stimulate new research on important issues in climatology, geomorphology, and agricultural engineering, and to provide an intensive and comprehensive review of current modelling and practice.

Keywords

Return Period Rainfall Intensity Tropical Rainfall Measurement Mission Rain Rate Annual Rainfall Amount 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 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 379:111–121CrossRefGoogle Scholar
  2. Arnoldus HMJ (1977) Methodology used to determine the maximum potential average annual soil loss due to sheet and rill erosion in Marocco, FAO soils bulletin 34. FAO, Rome, 83 pGoogle Scholar
  3. Bagarello V, D’Asaro F (1994) Estimating single storm erosion index. Trans ASAE 37:785–791CrossRefGoogle Scholar
  4. Bhuyan SJ, Kalita PK, Hanssen KA, Barnes PL (2002) Soil loss predictions with three erosion simulation models. Environ Model Softw 17:137–146CrossRefGoogle Scholar
  5. Bianchi F, Catani F (2002) Landscape dynamics risk management in Northern Apennines (Italy). Environ Stud 7:319–328Google Scholar
  6. Brown LC, Foster GR (1987) Storm erosivity using idealized intensity distributions. Trans ASAE 30:379–386CrossRefGoogle Scholar
  7. Cooley KR (1980) Erosivity values for individual design storms. J Irrig Drain Div 106:135–144Google Scholar
  8. D’Asaro F, D’Agostino L, Bagarello V (2007) Assessing changes in rainfall erosivity in Sicily during the twentieth century. Hydrol Process 21:2862–2871CrossRefGoogle Scholar
  9. Davison P, Hutchins MG, Anthony SG, Betson M, Johnson M, Lord EI (2005) The relationship between potentially erosive storm energy and daily rainfall quantity in England and Wales. Sci Total Environ 344:15–25CrossRefGoogle Scholar
  10. de Santos Loureiro N, de Azevedo Couthino M (2001) A new procedure to estimate the RUSLE EI30 index, based on monthly rainfall data applied to the Algarve region, Portugal. J Hydrol 250:12–18CrossRefGoogle Scholar
  11. Diodato N (2004) Estimating RUSLE’s rainfall factor in the part of Italy with a Mediterranean rainfall regime. Hydrol Earth Syst Sci 8:103–107CrossRefGoogle Scholar
  12. Diodato N (2005) Predicting RUSLE (Revised Universal Soil Loss Equation) monthly erosivity index from readily available rainfall data in Mediterranean area. Environmentalist 25:63–70Google Scholar
  13. Diodato N, Bellocchi G (2007) Estimating monthly (R)USLE climate input in a Mediterranean region using limited data. J Hydrol 345:224–236CrossRefGoogle Scholar
  14. Diodato N, Bellocchi G (2009) Environmental implications of erosive rainfall across the Mediterranean. In: Halley GT, Fridian YT (eds) Environmental impact assessment. Nova Science, New York, pp 225–253Google Scholar
  15. Diodato N, Bellocchi G (2010a) Storminess and environmental changes in the Mediterranean central area. Earth Interact 14:1–16CrossRefGoogle Scholar
  16. Diodato N, Bellocchi G (2010b) MedREM, a rainfall erosivity model for the Mediterranean region. J Hydrol 387:119–127CrossRefGoogle Scholar
  17. Diodato N, Bellocchi G (2012) Decadal modelling of rainfall–runoff erosivity in the Euro-Mediterranean region using extreme precipitation indices. Glob Planet Chang 86–87:79–91CrossRefGoogle Scholar
  18. Diodato N, Bellocchi G, Romano N, Chirico GB (2011) How the aggressiveness of rainfalls in the Mediterranean lands is enhanced by climate change. Clim Chang 108:591–599CrossRefGoogle Scholar
  19. Ferro V, Porto P, Yu B (1999) A comparative study of rainfall erosivity estimation for southern Italy and southeastern Australia. Hydrol Sci J 44:3–24CrossRefGoogle Scholar
  20. Grauso S, Diodato N, Verrubbi V (2010) Calibrating a rainfall erosivity assessment model at regional scale in Mediterranean area. Environ Earth Sci 60:1597–1606CrossRefGoogle Scholar
  21. Karami A, Homaee M, Neyshabouri MR, Afzalinia S, Basirat S (2012) Large scale evaluation of single storm and short/long term erosivity index models. Turk J Agric For 36:207–216Google Scholar
  22. Khorsandi N, Mahdian MH, Pazira E, Nikkami D (2010) Comparison of rainfall erosivity indices in runoff–sediment plots in northern Iran. World Appl Sci J 10:975–979CrossRefGoogle Scholar
  23. Kummerow C, Barnes W, Kozu T, Shiue J, Simpson J (1998) The tropical rainfall mission (TRMM) sensor package. J Atmos Ocean Technol 15:809–817CrossRefGoogle Scholar
  24. Maathuis B, Gieske A, Retsios V, Leeuwen B, Mannaerts C, Hendrikse J (2006) Meteosat-8: from temperature to rainfall. ISPRS 2006: ISPRS mid-term symposium 2006 remote sensing: from pixels to processes, Enschede, The Netherlands, 8–11 MayGoogle Scholar
  25. Mannaerts C, Maathuis BPH (2007) Towards estimating rainfall erosivity using weather satellites. Poster presented at the 5th international congress of the European Society for Soil Conservation ESSC, 25 June 2007, Palermo, ItalyGoogle Scholar
  26. Mutua BM, Klik A, Loiskandl W (2006) Modelling soil erosion and sediment yield at a catchment scale: the case of Masinga catchment, Kenya. Land Degrad Dev 17:557–570CrossRefGoogle Scholar
  27. Matulla C, Schöner W, Alexandersson H, von Storch H, Wang XL (2007) European storminess: late nineteenth century to present. Clim Dyn 31:125–130CrossRefGoogle Scholar
  28. Nearing MA (2001) Potential changes in rainfall erosivity in the U.S. with climate change during 21st century. J Soil Water Conserv 56:229–232Google Scholar
  29. Pelacani S, Märker M, Rodolfi G (2008) Simulation of soil erosion and deposition in a changing land use: a modelling approach to implement the support practice factor. Geomorphology 99:329–340CrossRefGoogle Scholar
  30. Petkovšek G, Mikoš M (2004) Estimating the R factor from daily rainfall data in the sub-Mediterranean climate of southwest Slovenia. Hydrol Sci J des Sciences Hydrologiques 49:869–877Google Scholar
  31. Petrucci O, Polemio M (2003) The use of historical data for the characterisation of multiple damaging hydrogeological events. Nat Hazards Earth Syst Sci 3:17–30CrossRefGoogle Scholar
  32. Richardson CW, Foster GR, Wright DA (1983) Estimation of erosion index from daily rainfall amount. Trans ASABE 26:153–157CrossRefGoogle Scholar
  33. Rousseva S, Stefanova V (2006) Assessment and mapping of soil erodibility and rainfall erosivity in Bulgaria. In: Proceedings of the conference on water observation and information system for decision support “BALWOIS 2006”, 23–36 May, Ohrid, Republic of Macedonia, A-152Google Scholar
  34. Sharifan H (2008) Evaluation of equations erosivity index and parameters of rainfall in Gorgan. J Agric Sci Nat Resour 14:207–215Google Scholar
  35. USEPA (U.S. Environmental Protection Agency) (1992) Stormwater management for industrial activities: developing pollution prevention plans and best management practices. U.S. Environmental Protection Agency, Office of Water, Washington, DCGoogle Scholar
  36. Wischmeier WH, Smith DD (1958) Rainfall energy and its relationship to soil loss. Trans Am Geophys Union 39:285–291CrossRefGoogle Scholar
  37. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses. A guide to conservation planning, United States Department of Agriculture, Agricultural Handbook. Department of Agriculture, Science and Education Administration , Washington, DC, 537 pGoogle Scholar
  38. Yu B (2003) An assessment of uncalibrated CLIGEN in Australia. Agric Forest Meteorol 119:131–148CrossRefGoogle Scholar
  39. Yu B, Rosewell CJ (1996) An assessment of daily rainfall erosivity model for New South Wales. Aust J Soil Res 34:139–152CrossRefGoogle Scholar
  40. Yu B, Hashim GM, Eusof Z (2001) Estimating the R-factor with limited rainfall data: a case study from peninsular Malaysia. J Soil Water Conserv 56:101–105Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Met European Research ObservatoryBeneventoItaly
  2. 2.Department of Civil EngineeringUniversity of MessinaMessinaItaly

Personalised recommendations