NH4
Modelling and Simulation of Volcanic Surface Flows, Floods, Debris Flows and Other Fast-Moving Flow-Type Landslides for Hazard Mitigation

Main Organiser
Giulio Iovine, CNR-IRPI,
University of Calabria, Via Cavour, 6/8-87030 Rende (CS), Itlaia
g.iovine@irpi.cnr.it

Co-Organiser(s)
Sheridan Michael, Professor of Geology, Dept of Geology, State University of N.Y, USA
mfs@geology.buffalo.edu

Di Gregorio Salvatore, Prof of Informatics,
Dept of Mathematics, University of Calabria, C.da Arcavacata
87036 Rende (CS),Italia
DIG@UNICAL.IT

Brief Description
Volcanic surface flows, floods, debris flows and other fast-moving flow-type landslides pose serious risk conditions for the human environment in many parts of the world. In typical risk analyses, after defining type and severity of a given dangerous phenomenon, a distinct step that commonly follows is hazard prediction in terms of time of occurrence. A fundamental task is then to determine the area influenced by the hazardous phenomenon, together with its evolution in space and time, once it has become activated. Finally, the presumed effects on the elements at risk can be estimated.
In the literature, different approaches to modelling complex natural phenomena are generally based on computer-assisted techniques of computation. Some models "only" focus on the problem of time-prediction and make use of either physical-based or empirical methods of analysis. Other types of analysis (known as “dynamic methods”) attempt to predict the evolution in space and in time of a given natural phenomenon once it has been triggered. In such a case, the evaluation of the area affected by the phenomenon, from its "source" to its final stage of development, constitutes the main topic of the study.
With regard to both the mentioned approaches, this session deals with innovative methods of modelling and simulation of volcanic surface flows, floods, debris flows and other fast-moving flow-type landslides for hazard mitigation. Contributions on innovative techniques of simulation, as well as on case studies - preferably related to the Asia-Oceania region – and novel methods of model calibration and validation are solicited. State-of-the-art research, together with a comparative discussion on potential and limits of different modelling approaches, are the topics that we solicit for this session.