Temporal and Spatial Patterns in Design–Storm Erosivity Over Sicily Region

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

Abstract

This work illustrates an articulated approach for predicting storm erosivity at multiple spatial and time scales over Sicily, the major island of the Mediterranean Central Area (MCA). Starting from the long-term mean erosivity spatial pattern, a downscaling approach to estimate design-storm erosivity was exploited with the aim to map the climate hazard over Sicily referred to 5- and 20-years return periods during the nominal period 1950–1998. The spatial distribution of a Design Erosive Storm Hazard Index (DESHI) was considered as a random field, where the spatial structure varies with duration and recurrence interval of the erosive storms climatic forcing. The expansion of DESHI soft information from points to the whole island landscape was achieved using records from 106 raingauges. Lacking geospatial information was then derived by means of the indicator kriging interpolation via probability maps for practical questions involving communication uncertainty in detecting erosive-prone areas. This approach provides a first exploration of critical areas and helps identify where future infill sampling should be focused in supporting a more precise characterization and conservation planning.

Keywords

Soil Erosion Return Period Spatial Uncertainty Erosivity Hazard Annual Maximum Daily Rainfall 
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. Acker JG, Leptoukh G (2007) Online analysis enhances use of NASA earth science data. Eos Trans Am Geophys Union 88:14–17CrossRefGoogle Scholar
  2. Akinyemi FO, Adejuwon JO (2008) A GIS-based procedure for downscaling climate data for West Africa. Trans GIS 12:613–631CrossRefGoogle Scholar
  3. Bonaccorso B, Cancelliere A, Rossi G (2005) Detecting trends of extreme rainfall series in Sicily. Adv Geosci 2:7–11CrossRefGoogle Scholar
  4. Borrelli G, Carillo A, Colonna N, Di Majo V, Grauso S, Iannetta M, Mauro F, Ruti P, Salama AM, Sonnino A, Sciortino M (1999) Comunicazione Nazionale per la Lotta alla Siccità ed alla Desertificazione (National Communication to Combat Drought and Desertification). Ministero dell’Ambiente: Serie Monografie (in Italian)Google Scholar
  5. Cannarozzo M, Noto LV, Viola F (2006) Spatial distribution of rainfall trends in Sicily (1921–2000). Phys Chem Earth 31:1201–1211CrossRefGoogle Scholar
  6. Cheng KS, Wei C, Cheng YB, Yeh HC (2003) Effect of spatial variation characteristics on contouring of design storm depth. Hydrol Process 17:1755–1769CrossRefGoogle Scholar
  7. Cohen S, Svoray T, Laronne JB (2005) Catchment scale soil erosion modeling using GIS and soft computing techniques. Geophys Res Abstr 7. SRef-ID: 1607-7962/gra/EGU05-A-00676Google Scholar
  8. Di Baldassarre G (2005) A regional model for estimating the design storm in Northern-Central Italy. Geophysical Research Abstracts. EGU Fall Meeting, vol 7, 1155Google Scholar
  9. Diodato N (2005) Geostatistical uncertainty modelling for the environmental hazard assessment during single erosive rainstorm events. Environ Monit Assess 105:25–42CrossRefGoogle Scholar
  10. Diodato N (2006) Spatial uncertainty modelling of climate processes for extreme hydrogeomorphological events hazard monitoring. J Environ Eng 132:1530–1538CrossRefGoogle Scholar
  11. Diodato N, Bellocchi G (2007) Estimating monthly (R)USLE climate input in a Mediterranean region using limited data. J Hydrol 345:224–236CrossRefGoogle Scholar
  12. Diodato N, Bellocchi G (2008) Drought stress patterns in Italy using agro-climatic indicators. Climate Res 36:53–63CrossRefGoogle Scholar
  13. Diodato N, Bellocchi G (2009a) Assessing and modelling changes in rainfall erosivity at different climate scales. Earth Surf Process Landf 34:969–980CrossRefGoogle Scholar
  14. Diodato N, Bellocchi G (2009b) 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. Dobesch H, Dumolard P, Dyras I (2007) Spatial interpolation for climate data: the use of GIS in climatology and meteorology. Wiley-ISTE, Hoboken, 284 pCrossRefGoogle Scholar
  16. Drago A, Cartabellotta D, Lo Bianco B, Lombardo M (2000) Atlante climatologico della regione Siciliana (Climatological atlas of Sicily). Assessorato Regionale Agricoltura e Foreste, U. O. di Agrometeorologia, PalermoGoogle Scholar
  17. Giordano L, Giordano F, Grauso S, Iannetta M, Rossi L, Sciortino M, Bonati G (2002) Individuazione delle aree sensibili alla desertificazione nella regione siciliana (Assessment of sensitive areas to desertification in Sicily). In: Iannetta M, Borrelli G (eds) Valutazione e mitigazione della desertificazione nella regione Sicilia: un caso di studio. Enea, Roma. (in Italian)Google Scholar
  18. Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York, 512 ppGoogle Scholar
  19. 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
  20. Grunwald S (2006) Environmental soil-landscape modeling: geographic information technologies and pedometrics. Taylor & Francis, London, 504 pGoogle Scholar
  21. Guzzetti F, Cipolla F, Lolli O, Pagliacci S, Tonelli G (2002) An information system on historical landslides and floods in Italy. Urban Hazards Forum. John Jay College, CUNY, New YorkGoogle Scholar
  22. Johnston K, Ver Hoef JM, Krivoruchko K, Lucas N (2001) Using ArcGis® geostatistical analyst. ESRI Press, RedlandsGoogle Scholar
  23. Knapp AK, Beier C, Briske DD, Classen AT, Luo Y, Reichstein M, Smith MD, Smith SD, Bell JE, Fay PA, Heisler JL, Leavitt SW, Sherry R, Smith B, Weng E (2008) Consequences of more extreme precipitation regimes for terrestrial ecosystems. BioScience 58:811–821CrossRefGoogle Scholar
  24. Larson WE, Lindstrom MJ, Schumacher TE (1997) The role of severe storms in soil erosion: a problem needing consideration. J Soil Water Conserv 52:90–95Google Scholar
  25. Lionello P, Bhend J, Buzzi A, Della-Marta PM, Krichak SO, Jansà A, Maheras P, Sanna A, Trigo IF, Trigo R (2006) Cyclones in the Mediterranean region: climatology and effects on the environment. In: Lionello P et al (eds) Mediterranean climate variability. Elsevier, Amsterdam, pp 325–372Google Scholar
  26. Maceachren AM, Robinson A, Hopper S, Gardner S, Murray R, Gahegan M, Hetzler E (2005) Visualizing geospatial information uncertainty: what we know and what we need to know. Cartogr Geogr Inf Sci 32:139–160CrossRefGoogle Scholar
  27. Mowrer HT, Congalton RG (2000) Quantifying spatial uncertainty in natural resources: theory and applications for GIS and remote sensing. CRC Press, Boca Raton, 350 pGoogle Scholar
  28. Parisow P, Wang G, Gertner G, Anderson AB (2001) Assessing uncertainty of erodibility factor in national cooperative soil surveys: a case study at fort hood, Texas. J Soil Water Conserv 56:207–211Google Scholar
  29. Pebesma EJ, Dubois G, Cornford D (2008) The challenge of real-time automatic mapping for environmental monitoring network management. In: Soares A, Dimitrakopoulos R, Pereira MJ (eds) GeoENV VI – Geostatistics for Environmental Applications. Proceedings of the sixth European conference on geostatistics for environmental applications. Series: quantitative geology and geostatistics, vol 15, pp 1–10Google Scholar
  30. 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
  31. Phillips JD (2003) Sources of nonlinearity and complexity in geomorphic systems. Prog Phys Geogr 27:1–23CrossRefGoogle Scholar
  32. Renard KG, Foster GR, Weesies GA, Porter PJ (1991) RUSLE – Revised universal soil loss equation. J Soil Water Conserv 46:30–33Google Scholar
  33. 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). United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Handbook 703. United States Government Printing Office, Washington, DCGoogle Scholar
  34. Saito H, Goovaerts P (2002) Accounting for measurement error in uncertainty modelling and decision-making using indicator kriging and p-field simulation: application to a dioxin contaminated site. Environmetrics 13:555–567CrossRefGoogle Scholar
  35. Sivakumar MVK (2005) Impacts of natural disasters in agriculture, rangeland and forestry: an overview. In: Sivakumar MVK, Motha RP, Das HP (eds) Natural disasters and extreme events in agriculture. Springer, Berlin, pp 1–22CrossRefGoogle Scholar
  36. Verstraeten G, Poesen J, Demarée G, Salles C (2006) Long-term (105 years) variability in rain erosivity as derived from 10-min rainfall depth data for Ukkel (Brussels, Belgium): implications for assessing soil erosion rates. J Geophys Res 111:D22109CrossRefGoogle Scholar
  37. Wang G, Gertner G, Singh V, Shinkareva S, Parysow P, Anderson A (2002) Spatial and temporal prediction and uncertainty of soil loss using the revised universal soil loss equation: a case study of the rainfall–runoff erosivity R factor. Ecol Model 153:143–155CrossRefGoogle Scholar
  38. Wang G, Gertner G, Anderson AB, Howard H, Gebhar D, Althoff D, Davis T, Woodford P (2007) Spatial variability and temporal dynamics analysis of soil erosion due to military land use activities: uncertainty and implications for land management. Land Degrad Dev 18:519–542CrossRefGoogle Scholar
  39. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. United States Department of Agriculture – Handbook no. 537. U.S. Government Printing Office, Washington, DCGoogle Scholar
  40. Yuan M (2008) Dynamics GIS: recognizing the dynamic nature of reality. In: Essay on geography and GIS. ESRI Press, Redlands, pp 17–33Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Met European Research ObservatoryBeneventoItaly

Personalised recommendations