Mitarbeiter: GFZ

M. Sc. Sophie Lagarde

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M. Sc. Sophie Lagarde

4.6 Geomorphologie

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Haus F, Raum 457 (Büro)

Telegrafenberg

14473 Potsdam

Funktion und Aufgaben:

PhD Student with Prof. Niels Hovius (Section 4.6 Geomorphology) and Dr. Jens Turowski (Section 4.6 Geomorphology).

Wissenschaftliche Interessen:

I am interested in natural hazards, using environmental seismology. I used seismic signal to obtain information on river activity (water turbulence, bedload flux, ect.), mass wasting dynamics and initiation mechanisms as well as acoustic sources located in the atmosphere (helicopter, planes). My lines of research are currently:

Machine learning techniques to retrieve information from seismic signal
Seismic Interferometry and Ambient Noise Seismology
Crack propagation modelisation and physical mechanisms
Modelisation of the seismic signal generated by an acoustic source located in the atmosphere

Karriere:

Since September 2019:PhD Researcher at the Deutches GeoForschungsZentrum, Potsdam.

Research Assistant/Intern positions :
2019
5 months, IPGP, Paris , France.
Internship in seismology supervised by Pr. A. Mangeney.
Topic : “Study of granular flows properties using seismic data and physical simulation”.

2018
6 months, CEA, Saclay , France.
Internship in geomorphology supervised by Dr. B. Richard.
Topic : “Modelling crack propagation in concrete structures”.

2017
1 year, GFZ, Potsdam, Germany.
Internship in geomorphology supervised by Dr. J. Turowski.
Topic : “Grain-size distribution and propagation effects on seismic signals generated by bedload transport".

Werdegang / Ausbildung:

2013-2016: Université Paris 6 UPMC, France. Licence with Honours (equivalent to a BS in Mechanics).

2017-2019: École Normale Supérieure France. ENS diploma, equivalent to a master diploma.

2018-2019: Institut de Physique du Globe , France. Master of Geosciences – Speciality Telluric Natural Hazards.

Projekte:

Within my PhD at GFZ, I aim at improving our knowledge on a range of natural hazards, using seismic signal. I address the following points:

1. Bedload affect channel stability, threatening human activities. Bedload is difficult to quantify. Theoretical models have been developed to quantify bedload flux from seismic signal. How accurate are the bedload flux quantification results provided by such models?(paper published)

2. What are the parameters controlling slope stability? To answer this question, I used machine learning methods to retrieve the changes in seismic signal signature prior to a mass wasting event. (paper submitted)

3. How does acoustic ambient noise impact slope stability? To answer this question, I model the seismic signal generated by an acoustic source located in the atmosphere.

I use an interdisciplinary approach combining seismic signal analysis, ambient noise seismology, machine learning and numerical/physical modelling.

Apart from my research projects, I also created a lecture course for master students on environmental seismology (6 ECTS). I am also in charge of supervising a master student.

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