Giovanni Crosta, Prof. University of Milano Bicocca, Milano, Italy

Curriculum vitae | Publications | Conference

Curriculum vitae

crosta.jpg (crosta.jpg)Giovanni B. Crosta is presently professor at the University of Milano Bicocca, Italy. He collaborates with various universities and research institutes and participates to several european and international projects. He collaborated with various technical offices and local administrations both in Italy and abroad on landslide hazard and risk assessment. Teaching and research activities are mainly focused on engineering geology subjects, soil and rock mechanics, landslide mapping, monitoring and modelling. Research activities are presently focused on: triggering of shallow landslides, and definition of empirical and physically based thresholds, also with adoption of monitoring techniques for soil moisture content and changes; identification of the transition from slow to fast moving landslides and evaluation of displacement and velocity thresholds; characterization and modelling of long runout landslides (rock avalanches); monitoring and modelling of deep seated slope gravitational deformations; rock fall modelling and definition of hazard assessment procedures both at local and regional scale; geomorphological mapping for landslide susceptibility zonation; alluvial fan geomorphological description, classification and zonation. He has been guest editor for some special issues on: Large slope instabilities (Engineering Geology, Elsevier), Rainfall triggered landslides (NHESS, EGU; Engineering Geology, Elsevier), Landslides and debris flows (NHESS; EGU).



Crosta G., Agliardi F. (2002). How to obtain alert velocity thresholds for large rockslide/rock avalanches. Physics And Chemistry Of The Earth vol. 27, 36, pp. 1557-1565.

Crosta G., Agliardi F. (2003). Failure forecast for large rock slides by surface displacement measurements. Canadian Geotechnical Journal vol. 40, pp. 176-191.

Agliardi F., Crosta G. (2003). High resolution three-dimensional numerical modelling of rockfalls. International Journal of Rock Mechanics and Mining Sciences vol. 40,4, june, pp. 455-471.

Crosta G.B., Frattini P. (2003) Distributed modelling of shallow landslides triggered by intense rainfall. Natural Hazards And Earth System Sciences NHESS, European Geophysical Society, vol. 3, 1-2, pp. 81-93 ISSN 1561-8633.

Crosta G.B., Imposimato S., Roddeman D.G. (2003) Numerical modelling of large landslides stability and runout. Natural Hazards and Earth System Sciences vol. 3, 6, 523-538.

Crosta G.B., Chen H., Lee C.F. (2004) Replay of the 1987 Val Pola Landslide, Italian Alps. Geomorphology, Vol. 60, Issue: 1-2, May 3, 2004, pp. 127-146.

Crosta G.B., Frattini P. (2004) Controls on modern alluvial fan processes in the central Alps, northern Italy. Earth Surface Processes and Landforms, Volume 29, Issue 3, March 2004, Pages: 267-293.

Crosta, G.B., Imposimato, S., Roddeman, D.G., Chiesa, S., Moia, F. (2004) Small fast moving flow-like landslides in volcanic deposits: the 2001 Las Colinas Landslide (El Salvador). Engineering Geology, 79, 185-214



Field characterization, Monitoring, Modelling of fast moving landslides

Fast moving landslides occur frequently in mountainous areas and can be characterized by very different types. Hazard and risk assessment of such phenomena is a difficult task that only recently received enough attention. Fast moving landslides can occur as isolated phenomena or in conjunction or within large slow moving slope instabilities. Nevertheless, the continuous development of urban areas and the use of very remote areas are becoming more and more important increasing the exposure of the population to such type of danger. Rock fall modelling through the adoption of a very detailed topographic description can allow the estimation of rock fall hazard at a regional or local scale with much greater detail than in the past. Rock avalanche modelling including topographic features and landslide material properties can allow a more precise or objective definition of the endangered areas as well as the effectiveness of countermeasures. Shallow landslide physically-based modelling can be at the base of a regional or local scale zonation for a class of phenomena that is usually very difficult to be forecasted. In all these cases the calibration of the model is fundamental whereas verification and validation can present some problems.


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