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Data Publication

Particle image velocimetry data from seismotectonic analog models focusing on the role of seamount subduction on megathrust seismicity

Menichelli, Irene | Corbi, Fabio | Brizzi, Silvia | Lallemand, Serge | van Rijsingen, Elenora | Funiciello, Francesca

GFZ Data Services

(2023)

This dataset provides the surface velocity fields derived with MatPIV (open-source Matlab toolbox for Particle Image Velocimetry; Sveen 2004) of three seismotectonic analog models (e.g., Rosenau et al., 2017) performed to investigate the role of geometry and friction of a single subducting seamount on the seismogenic behavior of the megathrust. Model 1 has a seamount covered by sandpaper (i.e., high friction) that is placed at 1/2 of the trench-parallel length of the seismogenic zone. Model 3 has the same geometry of model 1, but the seamount is in direct contact with the gelatin (i.e., not covered by sandpaper, hence low friction). Model 5 has a low friction patch (i.e., no geometry) that is placed again at 1/2 of the trench-parallel length of the seismogenic zone. Together with the surface velocity fields, we also provide Matlab scripts for visualization. A more detailed description of the experimental setup, configuration of the models and materials can be found in Menichelli et al. (submitted), to which this dataset is supplementary. Our seismotectonic models represent a downscaled subduction zone (1 cm in the model corresponds to 6.4 km in nature; Rosenau et al., 2017). The experimental setup consists of a 60 x 34 cm2 Plexiglass box with a 10°-dipping aluminum basal plate that moves downward with a constant velocity of 0.01 cm/s, analog of the subducting plate. The overriding plate is represented by an elastic wedge of 2.5 wt% pigskin gelatin at T = 10 °C (Di Giuseppe et al., 2009). The seismogenic zone of the megathrust is simulated using a rectangular sandpaper patch (Corbi et al., 2013), with a downdip width of 16 cm and located 31 and 47 cm from the backstop. This corresponds to a 100-km-wide seismogenic zone extending over a depth interval between 15 and 34 km. The updip and down dip aseismic regions of the megathrust are simulated by plastic sheets that are fixed on the setup frame and not subject to subduction (Corbi et al., 2013). A 3D-printed PLA seamount is placed on the seismogenic zone (e.g., Van Rijsingen et al., 2019). The seamount has a height of 6.28 mm and a diagonal length of 94 mm, corresponding to 4 km and 60 km in nature, respectively. These dimensions scale well-known seamounts, such as the Joban Seamount chain in the Japan Trench or the Louisville seamount chain in the Tonga-Kermadec Trench. Experiments were monitored with a CCD camera that acquired a sequence of high-resolution top-view images (1600 x 1200 pixels2, 8 bit, 256 gray levels) at 7.5 fps for the entire duration of the experiment (i.e., ca. 24 minutes). Images are processed with Particle Image Velocimetry (PIV; Adam et al., 2005) using the open-source Matlab toolbox MatPIV (Sveen, 2004). MatPIV provides the velocity field between two consecutive frames, measured at the surface of the model. The velocity field was then used as input to identify analog seismic events using the open-source Matlab function findpeak. The threshold used was 0.1 cm/s. Once earthquakes were identified, we derived their source parameters such as seismic slip, magnitude, and recurrence time following Corbi et al. (2017) and van Rijsingen et al. (2019).

Keywords


Originally assigned keywords
EPOS
multiscale laboratories
analogue models of geologic processes
analogue modelling results
software tools
PIV

Corresponding MSL vocabulary keywords
particle image velocimetry (PIV)

MSL enriched keywords
Software
digital image correlation (DIC)
particle image velocimetry (PIV)
tectonic plate boundary
convergent tectonic plate boundary
subduction
subducting plate interface
tectonic deformation structure
tectonic fault
thrust fault
analogue modelling material
elastic modelling material
natural elastic material
gelatin
synthesized material
3D printed
Measured property
friction - controlled slip rate
friction coefficient
Inferred deformation behavior
deformation behaviour
frictional deformation
Ancillary equipment
model surface monitoring (2D)
camera
Measured property
friction - controlled slip rate
friction coefficient
trench
accretionary wedge
measured property
aluminium

MSL original sub domains

analogue modelling of geologic processes

MSL enriched sub domains i

analogue modelling of geologic processes
rock and melt physics
geochemistry


Source publisher

GFZ Data Services


DOI

10.5880/fidgeo.2022.047


Authors

Menichelli, Irene

0000-0001-5960-7171

Università degli Studi Roma Tre, Rome, Italy

Corbi, Fabio

0000-0003-2662-3065

Istituto di Geologia Ambientale e Geoingegneria CNR c/o Dipartimento di Scienze della Terra, Sapienza Università di Roma, Rome, Italy

Brizzi, Silvia

0000-0002-5258-0495

Università degli Studi Roma Tre, Rome, Italy

Lallemand, Serge

0000-0003-1924-9423

Géosciences Montpellier, CNRS, Montpellier, France

van Rijsingen, Elenora

0000-0001-7330-5903

Utrecht University, Department of Earth Sciences, Netherlands

Funiciello, Francesca

0000-0001-7900-8272

Università degli Studi Roma Tre, Rome, Italy


References

DOI of paper when available

IsSupplementTo

Adam, J., Urai, J. L., Wieneke, B., Oncken, O., Pfeiffer, K., Kukowski, N., Lohrmann, J., Hoth, S., van der Zee, W., & Schmatz, J. (2005). Shear localisation and strain distribution during tectonic faulting—new insights from granular-flow experiments and high-resolution optical image correlation techniques. Journal of Structural Geology, 27(2), 283–301. https://doi.org/10.1016/j.jsg.2004.08.008

10.1016/j.jsg.2004.08.008

Cites

Corbi, F., Funiciello, F., Moroni, M., van Dinther, Y., Mai, P. M., Dalguer, L. A., & Faccenna, C. (2013). The seismic cycle at subduction thrusts: 1. Insights from laboratory models. Journal of Geophysical Research: Solid Earth, 118(4), 1483–1501. Portico. https://doi.org/10.1029/2012jb009481

10.1029/2012JB009481

Cites

Corbi, F., Herrendörfer, R., Funiciello, F., & van Dinther, Y. (2017). Controls of seismogenic zone width and subduction velocity on interplate seismicity: Insights from analog and numerical models. Geophysical Research Letters, 44(12), 6082–6091. Portico. https://doi.org/10.1002/2016gl072415

10.1002/2016GL072415

Cites

Crameri, F. (2023). <i>Scientific colour maps</i> (Version 8.0.1) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.1243862

10.5281/zenodo.1243862

Cites

Di Giuseppe, E., Funiciello, F., Corbi, F., Ranalli, G., & Mojoli, G. (2009). Gelatins as rock analogs: A systematic study of their rheological and physical properties. Tectonophysics, 473(3–4), 391–403. https://doi.org/10.1016/j.tecto.2009.03.012

10.1016/j.tecto.2009.03.012

Cites

van Rijsingen, E., Funiciello, F., Corbi, F., & Lallemand, S. (2019). Rough Subducting Seafloor Reduces Interseismic Coupling and Mega‐Earthquake Occurrence: Insights From Analogue Models. Geophysical Research Letters, 46(6), 3124–3132. Portico. https://doi.org/10.1029/2018gl081272

10.1029/2018GL081272

Cites

Cites


Contact

Menichelli, Irene

irene.menichelli@uniroma3.it

Laboratory of Experimental Tectonics, Università degli Studi Roma Tre, Rome, Italy

Funiciello, Francesca

francesca.funiciello@uniroma3.it

Laboratory of Experimental Tectonics, Università degli Studi Roma Tre, Rome, Italy


Citiation

Menichelli, I., Corbi, F., Brizzi, S., Lallemand, S., van Rijsingen, E., & Funiciello, F. (2023). Particle image velocimetry data from seismotectonic analog models focusing on the role of seamount subduction on megathrust seismicity [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2022.047