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Studying the Earth's surface with seismic methods

Periodic Reporting for period 1 - EnvSeis (Studying the Earth's surface with seismic methods)

Período documentado: 2022-09-01 hasta 2024-08-31

EnvSeis is currently training 12 PhD students in the emerging field of environmental seismology, in which seismic methods are used to study processes at or near the Earth's surface, such as landsliding, river sediment transport, debris flows, and glacial processes. Seismic techniques allow addressing challenges in the Earth surface sciences that are intractable by traditional observation methods. The capacity of environmental seismology has been proven, and first applications have been published. Yet, most current research in this field is conducted either by seismologists with an interest in Earth surface processes, or by Earth surface scientists who learned basic seismic methods.

The doctoral network EnvSeis leverages the potential of environmental seismology by fusing these complementary perspectives. Bringing together 10 leading research groups from 7 countries, EnvSeis is training 12 ESRs in both seismology and Earth surface sciences, to lay the ground for a next strong generation of environmental seismologists. In their projects, the ESRs address outstanding challenges in natural hazards, hydrology, geomorphology, and ocean sciences, applying seismic techniques to study a broad range of landscapes and their processes, including hillslopes, channels, glaciers, coasts and oceans. They combine observation, theory and numerical modelling to conduct ground-breaking science, to develop new methods and software, and deliver benchmark data sets. As such, they set standards for using seismic methods in the Earth surface sciences in Europe and beyond, establishing Europe as the leader in this newly emerging field.

Complementary training includes the involvement of stakeholder and media partnerships, experience in organizing conferences and workshops, as well as courses on transferable skills. This will allow the students to acquire a broad range of skills and experience to make them competitive for careers in research, industry, or public administration.
So far, the PhD students are in the midst of their research and they have gone through two workshops and 4 short courses that were organised by the network.

Some have been already involved in three publications:

Jiahui Kang has published her work on 'Automatic Monitoring of Rock-Slope Failures Using Distributed Acoustic Sensing and Semi-Supervised Learning' in Geophysical Research Letter. She looked at a major landslide that happened in Brienz, Switzerland and showed that fiber optic cables, buried in the ground can detect precursory failures before the main slide. This suggests new avenues for monitoring natural hazards in mountianous steep slopes.

Guilherme De Melo has published the following paper: 'The 2020 Mw 6.6 Vernadsky transform earthquake sequence: rupture
and Coulomb stress changes surrounding an oceanic core complex' in Marine Geophysical Research and was a co-author in 'A Pn magnitude scale mb(Pn) for earthquakes along the equatorial Mid-Atlantic Ridge' in Geophysical Journal International.

Selina Wetter has participated in a collaborative paper 'A rockslide-generated tsunami in a Greenland fjord rang Earth for 9 days' published in the prestigious journal 'Science'.

The students have also participated in the following short courses:

- Field Work on Alpine Geohazards and seismic deployment in Arolla, Switzerland (4 days, June-July 2023)
- Seismic Data analysis in Arolla, Switzerland (3 days, July 2023)
- Transferable Skills (Oral and Written Communication) in Potsdam, Germany (3 days, February 2024)
- Seismic Theory course, online and in Milano, Italy (~20hours, May 2024)

and the following Workshops:

- General Lectures on Earth Surface Processes and Environmental Seismology in Aussois, France (3 days, September 2023)
- Overview and Project Monitoring in Milano, Italy (3 days, May 2024)

Last, the supervisors also followed a Schort Course on supervision in Potsdam, Germany (4 days, January 2023 )
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