Thread: ESC 2018: S33 - Advances in single station and array methods for subsurface characterization - Call for Abstracts

Started: 2018-03-20 02:17:18
Last activity: 2018-03-20 02:17:18
Dear Colleagues,*

the 36th General Assembly of the European Seismological Commission (GA
ESC) will be held from 2 to 7 September, 2018 in Valletta, Malta.

Please consider our session *S33 - Advances in single station and array
methods for subsurface characterization
< *(see abstract below).
The abstract submission portal (Link under: closes on March 31rst, 2018.

Looking forward to receiving many contributions and seeing you in Valetta.

Best regards,
Agostiny (on behalf of the conveners)

#--------------------------------------------Begin session
*S33 - Advances in single station and array methods for subsurface
1. Agostiny Marrios Lontsi, ETH Zurich, alontsi<at>
2. Manuel Thomas Hobiger, ETH Zurich, manuel.hobiger<at>,
3. Cécile Cornou, ISTerre, France, cecile.cornou<at>

The use of ambient seismic noise has significantly increased over the
last decades. Controlled source signals are also widely used and can
complement ambient noise measurements. Taking advantage of the large
wavelength range of these signals, the subsurface structure can be
investigated in a broad depth range from few meters to several hundreds
of meters. The analysis of the subsurface structure of the Earth is a
necessary step towards mitigating natural hazards such as earthquake,
landslide, instable rock slopes, or non-linear site behavior such as
liquefaction. However, the approach is not limited to the Earth's solid
surface, but can also be applied in marine or lake environments, on the
Lunar surface or, in the context of the forthcoming InSight mission, on
Mars. We invite contributions that address single-station and/or array
data modeling, processing and applications.
Methods may range from:
(1) Single-station methods, e.g. microtremor horizontal-to-vertical
(H/V) spectral ratio, ellipticity estimation, receiver functions,
transfer functions;
(2) Array methods using single- or multi-component data processing
(passive or active sources), e.g. frequency-wavenumber, spatial
autocorelation, Multichannel Analysis of Surface Waves (MASW),
(3) Any combination of (1) and (2) and innovative techniques.
Methods based on the Diffuse Wavefield approach or using
cross-correlation  techniques are also welcome, as well as any
contribution concentrating on the inversion of any of the aforementioned
methods on any depth-scale range.

#--------------------------------------------End session

Schweizerischer Erdbebendienst (SED)
ETH Zürich
Agostiny Marrios Lontsi
NO, G46
Sonneggstrasse 5
8092 Zürich
Telefon: +41 44 632 94 34
E-Mail: agostiny.lontsi<at>

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