Jean-Philippe Malet : A contribution to quantitative landslide hazard assessment: Monitoring, Modelling and Forecast

Événement passé
14 janvier 2014
14h15

Jean-Philippe Malet soutiendra son habilitation à diriger des recherche le 14 janvier à 14h15.

Titre: "A contribution to quantitative landslide hazard assessment: Monitoring, Modelling and Forecast"

Lieu : EOST, 5 rue Descartes, Amphi. Rothé.

Examination committee:

  • Prof. Giovanni Crosta - University of Milano-Bicocca, Milano, Italy (reviewer)
  • Prof. Roger Cojean - Mines Paris-Tech, Paris, France (reviewer)
  • Prof. Michel Cara - University of Strasbourg, Strasbourg, France (reviewer)
  • Prof. Michel Jaboyedoff - University of Lausanne, Lausanne, Switzerland (examinator)
  • Prof. Christophe Delacourt - University of Brest, Brest, France (examinator)
  • Prof. Frédéric Masson  - University of Strasbourg, Strasbourg, France (promotor)
  • Prof. Olivier Maquaire - University of Caen, Caen, France (invited)


Résumé :

The large spectrum of landslide phenomena makes it difficult ? if not impossible ? to define a single methodology to detect, map and monitor landslides, to assess hazards and to evaluate the associated risk. Landslides are dynamic systems that are complex in time and space and closely linked to both inherited and current preparatory and triggering controls. It is not yet possible to assess in all cases conditions for failure, reactivation and rapid surges and successfully simulate their transient and multi-dimensional behaviour, although considerable progress has been made in isolating many of the key variables and elementary mechanisms and to include them in process-based models.
This work presents some results obtained in the last ten years to contribute to reduce some of these limitations. The research strategy has tried to establish a consistent loop among (instrumental, geomorphological) observations, process modelling (experiments, concepts, numerical simulations) and hazard assessment and forecast. The combination of various sources of information analyzed with a variety of methods and techniques provides the most advanced and (hopefully) the most useful response to many landslide hazard problems. The work is streamlined in chapters presenting, successively, (1) the main issues in quantitative landslide hazard assessment, (2) the observation of landslide quantities, (3) the modelling of landslide dynamics, (4) some approaches for quantitative landslide hazard assessment, and is concluded with some perspectives of research.