Comptes Rendus Géoscience

Fabien Hein

The OHM Pays de Bitche as a testing ground for interdisciplinary and participatory scientific practice

François Lavoué

Bérénice Froment

Céline Gélis

Pierre Boué

Emmanuel  Chaljub

Laurent Stehly

Sophie Beauprêtre

Florent De Martin

Loïc  Gisselbrecht

Marco Pilz

Denis Moiriat

Edward Marc Cushing

Comptes Rendus. Géoscience — Sciences de la Planète
Supplementary material to the article available at:
https://doi.org/10.5802/crgeos.243
Research article
Potential and limitations of noise-based
surface-wave tomography for numerical site effect
estimation: a case study in the French Rhône valley
François Lavoué ,∗,a,b, Bérénice Froment ,a, Céline Gélis ,a, Pierre Boué ,b,
Emmanuel Chaljub ,b, Laurent Stehly ,b, Sophie Beauprêtre c, Florent DeMartin ,d,
Loïc Gisselbrecht ,a,b, Marco Pilz ,e, Denis Moiriat ,a and EdwardMarc Cushing ,a
a Institut de Radioprotection et Sûreté Nucléaire (IRSN), PSE-ENV, SCAN,
BERSSIN/BEHRIG, Fontenay-aux-Roses, France
b Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, UGE, ISTerre, Grenoble,
France
c Sisprobe/EGIS, 3 rue du Dr Schweitzer, 38180 Seyssins, France
d BRGM (French Geological Survey), Risks and Prevention Division, Orléans, France
e GFZ, German Research Center for Geosciences, Potsdam, Germany
E-mail: francois.lavoue@univ-grenoble-alpes.fr (F. Lavoué)
Description of the supplementary material
This supplementary material contains:
1. A movie of the simulated wavefield on the free
surface of the numerical model.
2. A catalog of amplification curves computed us-
ing the Standard Spectral Ratio technique (SSR,
Borcherdt, 1970) for each station of the DARE
broadband network.
1. Movie of the simulated wavefield
File S1 contains a movie showing the propagation of
seismic waves on the free surface of the simulation
domain (excluding 15-km-wide margins). The N–S
component of particle velocity (vy ) is shown, for a
vertically-incident SH excitation polarized in the N–
S direction. Please note that the unrealistic ampli-
tudes indicated on the color bar (±7 m/s) are purely
∗Corresponding author.
conventional, and due to the injection of a 1-m max-
imum displacement at 5 km depth.
Annotations: Blue triangles correspond to broad-
band stations. The dotted line delineates the part of
the domain that is constrained by the tomography.
The solid black line corresponds to the 375-m-depth
iso-contour of the interface between sediments and
bedrock in the tomographic model. The location of
the Tricastin Nuclear Site (TNS) is also indicated.
2. Catalog of amplification curves
One of the two DARE campaigns consisted of deploy-
ing about 50 broadband stations over the study area
for more than eight months and targeted the record-
ing of seismicity (including teleseismic events, re-
gional, and local seismicity, [Pilz et al., 2021]).
The sites were instrumented with DATA-Cube3
and three-component Trillium compact 120 s. This
dataset was presented in detail in Froment et al.
[2022].
ISSN (electronic) : 1778-7025 https://comptes-rendus.academie-sciences.fr/geoscience/
2 François Lavoué et al.
Seismicity data recorded by this network is used in
the present paper to compare our numerical estima-
tions of seismic amplification with observations.
File S2 shows the SSR curves as a function of fre-
quency for each station obtained from the processing
of this seismicity data as follows:
• Pre-selection of earthquakes using recordings at
station A04, based on ISC (International Seis-
mological Centre) catalogue, magnitude relative
to the epicentral distance, signal-to-noise ratio
(SNR) and visual inspection. The derived catalog
consists in 424 events [Froment et al., 2022];
• Station A04 located on Urgonian limestones out-
side the Messinian canyon in a quiet area (see
Map S1 below) is used as reference station for SSR
computation (amplitude of HVSR ≃ 1).
• Data processing: for each earthquake and each
station,
– Signal and noise windows are selected at the
station of interest and at the reference (A04).
– The frequency band for which SNR is ≥3 is de-
termined (the frequency band is considered us-
able if its width is larger than 1 Hz).
– The amplification is computed using the SSR
technique [Borcherdt, 1970].
• Following these quite restrictive criteria, 27 earth-
quakes were selected for the SSR calculation (see
Table S1 and Map S2 below). SSR curves obtained
for each event and each component are gathered
in top figures of the catalog.
• For each station, the SSR averaged over the dif-
ferent earthquakes and its standard deviation are
computed. This mean SSR (solid line), plus/
minus one standard deviation (dashed lines), are
shown in bottom figures of the catalog.
There is no SSR computation for stations A05, E02,
E06, and F00 because no earthquake signal fulfills the
above criteria for these stations.
François Lavoué et al. 3
Supplementary Map S1. Location of the broadband stations deployed during the DARE project [from
Froment et al., 2022].
4 François Lavoué et al.
Supplementary Table S1. Selected earthquakes for the SSR calculation
Earthquake name Longitude Latitude Magnitude Epicentral distance (km) Backazimuth (deg)
Alaska −159.7500 54.7100 7.5 8911 274
Algeria 6.7600 36.6500 5.3 876 166
Algeria2 5.2400 36.9300 6.0 830 176
Aoste 7.4700 45.9600 3.9 276 60
Balkans3 16.2500 45.4000 5.1 912 85
Berne 7.4200 46.8800 3.5 347 47
Croatia 16.2187 45.4002 6.4 909 85
Dodecanese 26.8310 37.8442 5.6 1980 106
Genes 9.8800 44.6000 3.9 407 87
Greece2 22.1900 39.7400 6.2 1526 105
Haguenau 7.8000 48.7000 3.8 537 35
Narbonne 3.1500 43.0800 3.8 194 231
NordItaly 9.0673 45.4277 3.8 359 76
Pamplune3 −1.4700 42.8300 3.5 531 256
Pamplune6 −1.5300 42.9300 3.7 532 257
Poitiers 0.1000 46.6000 3.7 441 295
Pyrenees −1.5799 42.9021 5.9 537 257
Pyrenees2 −1.4691 42.8418 3.8 531 256
Pyrenees3 −1.6740 42.9950 4.6 541 258
SeoUrgel 1.6200 42.3200 3.8 342 237
SeoUrgel2 1.6200 42.3300 3.6 342 237
Strasbourg 7.7000 48.7000 3.8 531 34
Stuttgart 9.0200 48.3200 3.9 547 47
Stuttgart2 9.0500 48.3500 4.1 551 47
Switzerland 9.1308 46.8727 4.2 439 60
Vaduz 9.1200 46.9000 3.9 440 60
Vaduz2 9.1300 46.9200 3.7 442 60
François Lavoué et al. 5
Supplementary Map S2. Location of selected earthquakes in the Euro-Mediterranean zone (only the
Alaska earthquake from Table S1 is out of this area).
References
Borcherdt, R. D. (1970). Effects of local geology on
ground motion near San Francisco Bay. Bull. Seis-
mol. Soc. Am., 60(1), 29–61.
Froment, B., Olivar-Castaño, A., Ohrnberger, M., Gis-
selbrecht, L., Hannemann, K., Cushing, E. M.,
Boué, P., Gélis, C., Haendel, A., Pilz, M., Hillmann,
L., Barbaux, O., Beauprêtre, S., Bouzat, G., Chaljub,
E., Cotton, F., Lavoué, F., Stehly, L., Zhu, C., Magnin,
O., Métral, L., Mordret, A., Richet, Y., and Tourette,
A. (2022). Complementary dense datasets acquired
in a low-to-moderate seismicity area for character-
izing site effects: application in the French Rhône
valley. Seismol. Res. Lett., 94(1), 531–547.
Pilz, M., Cotton, F., Ohrnberger, M., and Froment, B.
(2021). DARE: Dense ARray for seismic site effect
estimation. GFZ Data Services. Seismic Network.


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The OHM Pays de Bitche as a testing ground for interdisciplinary and participatory scientific practice

Potential and limitations of noise-based surface-wave tomography for numerical site effect estimation: a case study in the French Rhône valley

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