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Multi parametric GIS analysis to assess gully erosion susceptibility : a test in southern Sicily, Italy

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Języki publikacji
EN
Abstrakty
EN
A GIS+analysis was carried out in a test basin of southern Sicily, the Magazzolo River basin, in order to assess susceptibility conditions to gully erosion phenomena. The linear density of ephemeral and permanent gullies computed within each class of nine environmental variables was used to generate a gully erosion susceptibility map for the area. A validation procedure carried out in order to test the reliability of the adopted method highlighted a clear correlation between the occurrence of gullies and the computed susceptibility levels.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
15--20
Opis fizyczny
Bibliogr. 13 poz., rys.
Twórcy
autor
autor
Bibliografia
  • Carrara A. & Guzzetti F., 1995. Geographical information systems in assessing natural hazards. Kluwer Academic Publishers, Dordrecht.
  • Catalano R., Di Stefano P., Nigro F. & Vitale F.P., 1993. Sicily mainland and its offshore: a structural comparison. In: Max M.D. & Colantoni P. (eds.) Geological development of the Sicilian–Tunisian platform. UNESCO Report in Marine Science 58:19–24.
  • Chung C.F. & Fabbri A.G., 2003. Validation of spatial prediction models for landslide hazard mapping. Natural Hazards 30: 451–472.
  • Clerici A., Perego S., Tellini C. & Vescovi P., 2002. A procedure for landslide susceptibility zonation by the conditional analysis method. Geomorphology 48: 349–364.
  • Conoscenti C., Di Maggio C. & Rotigliano E., 2008a.Soil erosion susceptibility assessment and validation using a geostatistical multivariate approach: a test in Southern Sicily. Natural Hazards 46: 287–305, DOI 10.1007/s11069-007-9188-0.
  • Conoscenti C., Di Maggio C. & Rotigliano E., 2008b. GIS analysis to assess landslide susceptibility in a fluvial basin of NW Sicily (Italy). Geomorphology 94: 325–339.
  • Davis J.C., 1973. Statistics and data analysis in Geology. Wiley, New York: 550 pp. ESRI, 1998. ArcView User’s Manual. ESRI Publ., USA.
  • Jenness J., 2006. Grid Tools (Jenness Enterprises) v. 1.7 (grid_tools_jen.avx) extension for ArcView 3.x.
  • Jenness Enterprises. Available at: http://www.jennessent.com/arcview/grid_tools.htm.
  • Märker M., Flügel W.A. & Rodolfi G., 1999. Das Konzept der “Erosions Response Units” (ERU)
  • und seine Anwendung am Beispiel des semi-ariden Mkomazi-Einzugsgebietes in der Provinz Kwazulu /Natal, Südafrika. In: Tübinger Geowissenschaftliche Studien, Reihe D.:Geoökologie und Quartaerforschung. Angewandte Studien zu Massenverlagerungen, Tübingen.Nearing M.A., Foster G.R., Lane L.J. & FinknerS.C., 1989. A process-based soil erosion model for USDA – Water Erosion Prediction Project Technology of the American Society of Agricultural Engineering 32: 1587–1593.
  • Remondo J., Gonzalez-Diez A., Diaz De Teran J.R. & Cendrero A., 2003. Landslide susceptibility models utilising spatial data analysis techniques. A case study from the lower Deba Valley, Guipúzcoa (Spain). Natural Hazards 30: 67–279.
  • Wischmeier W.H. & Smith D.D., 1965. Predicting rainfall erosion losses from cropland east of the Rocky Mountains. Handbook, No. 282. US Department of Agriculture, Washington DC: 47 pp.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ5-0051-0048
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