Integrating geomorphology, statistic and numerical simulations for landslide invasion hazard scenarios mapping: An example in the Sorrento Peninsula (Italy)

Author:

Lucà Federica,D’Ambrosio Donato,Robustelli Gaetano,Rongo Rocco,Spataro William

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference89 articles.

1. Application of an evidential belief function model in landslide susceptibility mapping;Althuwaynee;Comput. Geosci.,2012

2. Generalized linear modeling of susceptibility to landsliding in the central Apennines, Italy;Atkinson;Comput. Geosci.,1998

3. SCIDDICA-SS3: a new version of cellular automata model for simulating fast moving landslides;Avolio;J. Supercomput.,2013

4. Avolio, M.V., Di Gregorio, S., Mantovani, F., Pasuto, A., Rongo, R., Silvano, S., Spataro, W., 1999a. Hexagonal cellular automaton simulation of the 1992 Tessina landslide. In: Lippard, S.J., Næss, A., Sinding-Larsen, R. (Eds.), Proceedings of the IAMG 99, Trondheim, Norway, vol. 1, 6–11 August 1999, pp. 291–297.

5. Avolio, M.V., Di Gregorio, S., Mantovani, F., Pasuto, A., Rongo R., Silvano, S., Spataro, W., 1999b. Analysing landslide risk by cellular automata methods of simulation for the Tessina area. In: Proceedings of the 6th International Conference of CUPUM’99 (Computer in Urban Planning & Urban Management), Paper 14 (on CDROM), Venice, pp. 46.

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