: 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

Agnesi, V., Angileri, S.E., Cappadonia, C., Conoscenti, C., Rotigliano, E. (2011). Multi-parametric GIS analysis to assess gully erosion susceptibility: a test in southern Sicily, Italy. LA. LANDFORM ANALYSIS, 17, 15-20.

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

AGNESI, Valerio;ANGILERI, Silvia Eleonora;CAPPADONIA, Chiara;CONOSCENTI, Christian;ROTIGLIANO, Edoardo
2011-01-01

Abstract

: 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
2011
Settore GEO/04 - Geografia Fisica E Geomorfologia
Agnesi, V., Angileri, S.E., Cappadonia, C., Conoscenti, C., Rotigliano, E. (2011). Multi-parametric GIS analysis to assess gully erosion susceptibility: a test in southern Sicily, Italy. LA. LANDFORM ANALYSIS, 17, 15-20.
File in questo prodotto:
File Dimensione Formato  
10447_62273.pdf

accesso aperto

Tipologia: Versione Editoriale
Dimensione 4.16 MB
Formato Adobe PDF
4.16 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/62273
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact