The aim of this paper is the landslide susceptibility assessment of the submerged slopes of the volcanic Albano Lake. A high resolution bathymetry obtained through a multi-beam sonar survey is available, while no data about the submerged geological setting exist. Landslide susceptibility analysis of the subaerial slopes has been used as a point of reference. The weights calculated for each class of the input factors included in the subaerial susceptibility analysis have been used to generate a prediction image for the submerged area. The comparison of this prediction image with the distribution of the subaqueous landslides recognized on the basis of morphological survey, showed that the predictive model fits quite good.
A first attempt to extend a subaerial landslide susceptibility analysis to submerged slopes: The case of the Albano Lake (Rome, Italy) / BIANCHI FASANI, Gianluca; Esposito, Carlo; Bozzano, Francesca; Mazzanti, Paolo; Floris, Mario. - STAMPA. - 2:(2008), pp. 1905-1910. (Intervento presentato al convegno 10th International Symposium on Landslides and Engineered Slopes tenutosi a Xian; Peoples R China nel JUN 30-JUL 04, 2008) [10.1201/9780203885284-c264].
A first attempt to extend a subaerial landslide susceptibility analysis to submerged slopes: The case of the Albano Lake (Rome, Italy)
BIANCHI FASANI, Gianluca;ESPOSITO, CARLO;BOZZANO, Francesca;MAZZANTI, PAOLO;FLORIS, Mario
2008
Abstract
The aim of this paper is the landslide susceptibility assessment of the submerged slopes of the volcanic Albano Lake. A high resolution bathymetry obtained through a multi-beam sonar survey is available, while no data about the submerged geological setting exist. Landslide susceptibility analysis of the subaerial slopes has been used as a point of reference. The weights calculated for each class of the input factors included in the subaerial susceptibility analysis have been used to generate a prediction image for the submerged area. The comparison of this prediction image with the distribution of the subaqueous landslides recognized on the basis of morphological survey, showed that the predictive model fits quite good.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.