02/04/2021
The Human Resources Strategy for Researchers

Phd contract in the field of Earth sciences financed for three years by the University of Clermont Auvergne


  • ORGANISATION/COMPANY
    Université Clermont Auvergne
  • RESEARCH FIELD
    Geosciences
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    23/05/2021 00:00 - Europe/Brussels
  • LOCATION
    France › Aubière
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    35
  • OFFER STARTING DATE
    01/10/2021
  • REFERENCE NUMBER
    SF-CD-2021-031

OFFER DESCRIPTION

Modelling Volcanogenic Tsunami Run-up Zones andlittoralEvacuation at Volcano Islands

Based on a collaboration between Italian Civil Protection (DPC), the University of Florence (LGS), LMV/I-SITE, large and small scale evacuation maps have been produced for the populated shore-line area of Stromboli. The maps are based on the warning system operated by LGS where, in the event of a flank collapse, the shoreline needs to be evacuated below a height of 10 m within 4 minutes. While four minutes is the time betweenthe detection of a tsunami due to a landslide on the Sciara del Fuoco, 10 m was the run-up for the December 2002 tsunami which is the event-scenario used by DPC. A unique methodology has been developed at LMV to map fastest escape paths from every door, and beach location, in the vulnerable zone. This involves first carrying out a building and escape route inventory, and then using a GIS to assess the times needed to move from each vulnerable point to the exits of the tsunami run up area (Bonilauri et al.,in review). In collaboration with DPC and LGS, and now also and the Department of Mathematics at UCA, this PhD will now advance this methodology by convolving physical modelling of the process, while extending the study to three other highly vulnerable Aeolian Islands: Lipari, Panarea and Vulcano. The PhD will focus on physically modelling wave arrival times, heights and run-up, as well as statistically modelling crowd distributions, and will integrate wave arrival probability distributions with crowd density statistics. At all four sites, we will define the full range event scenarios (i.e., wave height and travel time from landslides and/or pyroclastic flow entry into the sea of various sizes) using numerical modelling (cf. Kelfoun et al. 2010), as wellas historical records and interviews. We will then assess the crowd sizes and demographics in the winter and summer populations (as well as during night and various times of day), allowing the spatial and temporal distributions of the crowd to be statistically defined. Merging the two statistical distributions will allow modelling of the final step: best evacuation route and required escape time. Overall, the method will be set up to be of use for any vulnerable volcano island, which tend to be highly populated at the shoreline (e.g., Oahu) and tourist honey pot sites (e.g., White Island).

More Information

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Geosciences: Master Degree or equivalent

Map Information

Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
Magmas and Volcanoes Laboratory
France
Région Auvergne Rhône-Alpes
Aubière
63178
Campus Universitaire des Cézeaux, TSA 60026 - CS 60026, 6 Avenue Blaise Pascal

Open, Transparent, Merit based Recruitment procedures of Researchers (OTM-R)

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EURAXESS offer ID: 623011

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