24 results on '"Mainsant, Guénolé"'
Search Results
2. Companion guide to the marsquake catalog from InSight, Sols 0–478: Data content and non-seismic events
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Ceylan, Savas, Clinton, John F., Giardini, Domenico, Böse, Maren, Charalambous, Constantinos, Driel, Martin van, Horleston, Anna, Kawamura, Taichi, Khan, Amir, Orhand-Mainsant, Guenolé, Scholz, John-Robert, Stähler, Simon C., Euchner, Fabian, Banerdt, William B., Lognonné, Philippe, Banfield, Don, Beucler, Eric, Garcia, Raphaël F., Kedar, Sharon, Panning, Mark P., Pike, William T., Smrekar, Suzanne E., Spiga, Aymeric, Dahmen, Nikolaj L., Hurst, Kenneth, Stott, Alexander E., Lorenz, Ralph D., Schimmel, Martin, Stutzmann, Eléonore, Pierick, Jan ten, Conejero, Vincent, Pardo, Constanza, and Perrin, Clément
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- 2021
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3. The Marsquake catalogue from InSight, sols 0–478
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Clinton, John F., Ceylan, Savas, van Driel, Martin, Giardini, Domenico, Stähler, Simon C., Böse, Maren, Charalambous, Constantinos, Dahmen, Nikolaj L., Horleston, Anna, Kawamura, Taichi, Khan, Amir, Orhand-Mainsant, Guenolé, Scholz, John-Robert, Euchner, Fabian, Banerdt, William B., Lognonné, Philippe, Banfield, Don, Beucler, Eric, Garcia, Raphaël F., Kedar, Sharon, Panning, Mark P., Perrin, Clement, Pike, William T., Smrekar, Suzanne E., Spiga, Aymeric, and Stott, Alexander E.
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- 2021
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4. Shear-wave-velocity drop prior to clayey mass movement in laboratory flume experiments
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Mainsant, Guénolé, Chambon, Guillaume, Jongmans, Denis, Larose, Eric, and Baillet, Laurent
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- 2015
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5. Magnitude Scales for Marsquakes Calibrated from InSight Data
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Böse, Maren, primary, Stähler, Simon C., additional, Deichmann, Nicholas, additional, Giardini, Domenico, additional, Clinton, John, additional, Lognonné, Philppe, additional, Ceylan, Savas, additional, van Driel, Martin, additional, Charalambous, Constantinos, additional, Dahmen, Nikolaj, additional, Horleston, Anna, additional, Kawamura, Taichi, additional, Khan, Amir, additional, Knapmeyer, Martin, additional, Orhand-Mainsant, Guénolé, additional, Scholz, John-Robert, additional, Euchner, Fabian, additional, and Banerdt, W. Bruce, additional
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- 2021
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6. Autocorrelation of the ground vibration recorded by the SEIS-InSight seismometer on Mars for imaging and monitoring applications
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Compaire, Nicolas, primary, Margerin, Ludovic, additional, Garcia, Raphaël F., additional, Calvet, Marie, additional, Pinot, Baptiste, additional, Orhand-Mainsant, Guénolé, additional, Kim, Doyeon, additional, Lekic, Vedran, additional, Tauzin, Benoit, additional, Schimmel, Martin, additional, Stutzmann, Eléonore, additional, Knapmeyer-Endrun, Brigitte, additional, Lognonné, Philippe, additional, Pike, William T., additional, Schmerr, Nicholas, additional, Gizon, Laurent, additional, and Banerdt, Bruce, additional
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- 2021
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7. Detection, Analysis, and Removal of Glitches From InSight's Seismic Data From Mars
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Scholz, John‐Robert, primary, Widmer‐Schnidrig, Rudolf, additional, Davis, Paul, additional, Lognonné, Philippe, additional, Pinot, Baptiste, additional, Garcia, Raphaël F., additional, Hurst, Kenneth, additional, Pou, Laurent, additional, Nimmo, Francis, additional, Barkaoui, Salma, additional, de Raucourt, Sébastien, additional, Knapmeyer‐Endrun, Brigitte, additional, Knapmeyer, Martin, additional, Orhand‐Mainsant, Guénolé, additional, Compaire, Nicolas, additional, Cuvier, Arthur, additional, Beucler, Éric, additional, Bonnin, Mickaël, additional, Joshi, Rakshit, additional, Sainton, Grégory, additional, Stutzmann, Eléonore, additional, Schimmel, Martin, additional, Horleston, Anna, additional, Böse, Maren, additional, Ceylan, Savas, additional, Clinton, John, additional, van Driel, Martin, additional, Kawamura, Taichi, additional, Khan, Amir, additional, Stähler, Simon C., additional, Giardini, Domenico, additional, Charalambous, Constantinos, additional, Stott, Alexander E., additional, Pike, William T., additional, Christensen, Ulrich R., additional, and Banerdt, W. Bruce, additional
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- 2020
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8. Detection, analysis and removal of glitches from InSight's seismic data from Mars
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Scholz, John-Robert, primary, Widmer-Schnidrig, Rudolf, additional, Davis, Paul, additional, Lognonné, Philippe, additional, Pinot, Baptiste, additional, Garcia, Raphaël F, additional, Hurst, Kenneth, additional, Pou, Laurent, additional, Nimmo, Francis, additional, Barkaoui, Salma, additional, De Raucourt, Sébastien, additional, Knapmeyer-Endrun, Brigitte, additional, Knapmeyer, Martin, additional, Mainsant, Guénolé, additional, Compaire, Nicolas, additional, Cuvier, Arthur, additional, Beucler, Eric, additional, Bonnin, Mickaël, additional, Joshi, Rakshit, additional, Sainton, Grégory, additional, Stutzmann, Eléonore, additional, Schimmel, Martin, additional, Horleston, Anna, additional, Böse, Maren, additional, Ceylan, Savas, additional, Clinton, John, additional, Van Driel, Martin, additional, Kawamura, Taichi, additional, Khan, Amir, additional, Stähler, Simon C, additional, Giardini, Domenico, additional, Charalambous, Constantinos, additional, Stott, Alexander E, additional, Pike, William T, additional, Christensen, Ulrich R, additional, and Bruce Banerdt, W, additional
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- 2020
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9. Autocorrelation of the ground vibrations recorded by the SEIS-InSight seismometer on Mars
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Compaire, Nicolas, primary, Margerin, Ludovic, additional, Garcia, Raphaël F., additional, Pinot, Baptiste, additional, Calvet, Marie, additional, Orhand-Mainsant, Guénolé, additional, Kim, Doyeon, additional, Lekic, Vedran, additional, Tauzin, Benoit, additional, Schimmel, Martin, additional, Stutzmann, Eleonore, additional, Knapmeyer-Endrun, Brigitte, additional, Lognonné, Philippe Henri, additional, Pike, William Thomas, additional, Schmerr, Nicholas Charles, additional, Gizon, Laurent, additional, and Banerdt, William Bruce, additional
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- 2020
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10. Pressure Effects on the SEIS‐InSight Instrument, Improvement of Seismic Records, and Characterization of Long Period Atmospheric Waves From Ground Displacements
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Garcia, Raphael F., primary, Kenda, Balthasar, additional, Kawamura, Taichi, additional, Spiga, Aymeric, additional, Murdoch, Naomi, additional, Lognonné, Philippe Henri, additional, Widmer‐Schnidrig, Ruldolf, additional, Compaire, Nicolas, additional, Orhand‐Mainsant, Guénolé, additional, Banfield, Donald, additional, and Banerdt, William Bruce, additional
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- 2020
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11. Detection, analysis and removal of glitches from InSight's 1 seismic data from Mars
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Scholz, John-Robert, primary, Widmer-Schnidrig, Rudolf, additional, Davis, Paul, additional, Lognonné, Philippe, additional, Pinot, Baptiste, additional, Garcia, Raphaël F, additional, Nimmo, Francis, additional, Hurst, Kenneth, additional, Barkaoui, Salma, additional, De Raucourt, Sébastien, additional, Pou, Laurent, additional, Mainsant, Guénolé, additional, Compaire, Nicolas, additional, Cuvier, Arthur, additional, Beucler, Eric, additional, Bonnin, Mickaël, additional, Joshi, Rakshit, additional, Stutzmann, Eléonore, additional, Schimmel, Martin, additional, Horleston, Anna, additional, Böse, Maren, additional, Ceylan, Savas, additional, Clinton, John, additional, Van Driel, Martin, additional, Kawamura, Taichi, additional, Khan, Amir, additional, Stähler, Simon C, additional, Giardini, Domenico, additional, Charalambous, Constantinos, additional, Stott, Alexander E, additional, Pike, William T, additional, Christensen, Ulrich R, additional, and Bruce Banerdt, W, additional
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- 2020
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12. Single-station moment tensor inversion on Mars
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Brinkman, Nienke, primary, Stähler, Simon C., additional, Giardini, Domenico, additional, Schmelzbach, Cedric, additional, Jacob, Alice, additional, FUJI, Nobuaki, additional, Perrin, Clement, additional, Lognonné, Philippe Henri, additional, Böse, Maren, additional, Knapmeyer-Endrun, Brigitte, additional, Beucler, Éric, additional, Ceylan, Savas, additional, Charalambous, Constantinos, additional, Clinton, John, additional, van Driel, Martin, additional, Euchner, Fabian, additional, Horleston, Anna Catherine, additional, Kawamura, Taichi, additional, Khan, Amir, additional, Orhand-Mainsant, Guénolé, additional, Panning, Mark Paul, additional, Pike, Tom, additional, Scholz, John-Robert, additional, Robertsson, Johan O. A., additional, and Banerdt, William Bruce, additional
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- 2020
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13. A Comodulation Analysis of Atmospheric Energy Injection into the Ground Motion at InSight, Mars
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Charalambous, Constantinos, primary, Stott, Alexander E, additional, Pike, Tom, additional, McClean, John, additional, Warren, Tristram, additional, Spiga, Aymeric, additional, Banfield, Donald, additional, Garcia, Raphaël F., additional, Clinton, John, additional, Stähler, Simon C., additional, Navarro López, Sara, additional, Lognonné, Philippe Henri, additional, Kawamura, Taichi, additional, van Driel, Martin, additional, Böse, Maren, additional, Ceylan, Savas, additional, Khan, Amir, additional, Horleston, Anna Catherine, additional, Orhand-Mainsant, Guénolé, additional, Mora Sotomayor, Luis, additional, Murdoch, Naomi, additional, Giardini, Domenico, additional, and Banerdt, William Bruce, additional
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- 2020
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14. Overview of observed seismic signals on Mars
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Ceylan, Savas, primary, Clinton, John F., additional, Giardini, Domenico, additional, Böse, Maren, additional, van Driel, Martin, additional, Euchner, Fabian, additional, Horleston, Anna, additional, Kawamura, Taichi, additional, Khan, Amir, additional, Orhand-Mainsant, Guénolé, additional, Scholz, John-Robert, additional, Stähler, Simon, additional, Charalambous, Constantinos, additional, Banerdt, W. Bruce, additional, Garcia, Raphaël F., additional, Kedar, Sharon, additional, Lognonné, Philippe, additional, Panning, Mark, additional, Pike, Tom, additional, and Smrekar, Suzanne E., additional
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- 2020
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15. AGU Fall Meeting 2016 - Ambient seismic noise and gravimetry for hydrological modeling
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Fores, Benjamin, Champollion, Cédric, Mainsant, Guénolé, and Albaric, Julie
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- 2016
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16. Suivi temporel de mouvements gravitaires : apport des vibrations sismiques ambiantes
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Bottelin, Pierre, primary, Mainsant, Guénolé, additional, Jongmans, Denis, additional, Baillet, Laurent, additional, Larose, Eric, additional, Chambon, Guillaume, additional, and Hantz, Didier, additional
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- 2017
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17. Ambient seismic noise monitoring of a clay landslide: Toward failure prediction
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Mainsant, Guénolé, LAROSE, Eric, Brönnimann, Cornelia, Jongmans, Denis, Michoud, Clément, Jaboyedoff, Michel, Risques (Risques), Laboratoire de Géophysique Interne et Tectonophysique (LGIT), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Central des Ponts et Chaussées (LCPC)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Central des Ponts et Chaussées (LCPC)-Centre National de la Recherche Scientifique (CNRS), Ondes et Structures, Institut des Sciences de la Terre (ISTerre), Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-PRES Université de Grenoble-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-PRES Université de Grenoble-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), GEOLEP, Institute of Geomatics and Risk Analysis (IGARS), Université de Lausanne (UNIL), European Project, Risques, Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Laboratoire Central des Ponts et Chaussées (LCPC)-Institut des Sciences de la Terre (ISTerre), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut national des sciences de l'Univers (INSU - CNRS)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut national des sciences de l'Univers (INSU - CNRS)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), Ondes et Structures (Isterre), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut national des sciences de l'Univers (INSU - CNRS)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut national des sciences de l'Univers (INSU - CNRS)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Joseph Fourier - Grenoble 1 (UJF), and Université de Lausanne = University of Lausanne (UNIL)
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Rainfall ,Mobility ,Slope ,Movement ,Waves ,[SDU.STU]Sciences of the Universe [physics]/Earth Sciences ,Debris Flows ,Arrays ,Model - Abstract
International audience; Given that clay-rich landslides may become mobilized, leading to rapid mass movements (earthflows and debris flows), they pose critical problems in risk management worldwide. The most widely proposed mechanism leading to such flow-like movements is the increase in water pore pressure in the sliding mass, generating partial or complete liquefaction. This solid-to-liquid transition results in a dramatic reduction of mechanical rigidity in the liquefied zones, which could be detected by monitoring shear wave velocity variations. With this purpose in mind, the ambient seismic noise correlation technique has been applied to measure the variation in the seismic surface wave velocity in the Pont Bourquin landslide (Swiss Alps). This small but active composite earthslide-earthflow was equipped with continuously recording seismic sensors during spring and summer 2010. An earthslide of a few thousand cubic meters was triggered in mid-August 2010, after a rainy period. This article shows that the seismic velocity of the sliding material, measured from daily noise correlograms, decreased continuously and rapidly for several days prior to the catastrophic event. From a spectral analysis of the velocity decrease, it was possible to determine the location of the change at the base of the sliding layer. These results demonstrate that ambient seismic noise can be used to detect rigidity variations before failure and could potentially be used to predict landslides.
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- 2012
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18. Hydroacoustic monitoring of a salt cavity: analysis of precursory events of the collapse
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Lebert, François, Bernardie, Séverine, Mainsant, Guénolé, Arregros, Marielle, EGU, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Laboratoire de Géophysique Interne et Tectonophysique (LGIT), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Laboratoire Central des Ponts et Chaussées (LCPC)-Institut des Sciences de la Terre (ISTerre), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut national des sciences de l'Univers (INSU - CNRS)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), Institut des Sciences de la Terre (ISTerre), Centre National de la Recherche Scientifique (CNRS)-PRES Université de Grenoble-Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Institut des Sciences de la Terre [2011-2015] (ISTerre [2011-2015]), Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-PRES Université de Grenoble-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-PRES Université de Grenoble-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Central des Ponts et Chaussées (LCPC)-Observatoire des Sciences de l'Univers de Grenoble [1985-2015] (OSUG [1985-2015]), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS), Bernardie, Séverine, and Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Central des Ponts et Chaussées (LCPC)-Centre National de la Recherche Scientifique (CNRS)
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[SDE] Environmental Sciences ,[SDE]Environmental Sciences ,[SDU.STU] Sciences of the Universe [physics]/Earth Sciences ,[SDU.STU]Sciences of the Universe [physics]/Earth Sciences - Abstract
International audience; One of the main purposes in "post mining" research is related to the available methods and means for monitoring mine-degradation processes that may, as a consequence, directly threaten surface infrastructures. GISOS, a French scientific interest group concerned with the impact and the safety of the underground works in the field of the post-mining, aims amongst other at developing techniques for monitoring underground growing cavities due to salt dissolution, leading to collapse. One method for monitoring the stability of a salt cavity is to record microseismic-precursor signals that indicate the onset of rock failure. In particular, in this study, it has to identify and evaluate the capacity of hydroacoustic technique for monitoring salt cavities. More specifically, the purpose is to be able to determine the criteria of the behaviour change and the state of the rock likely to occur as a precursory sign before the collapse of the salt cavity. More precisely, three types of signal were recorded in a salt mine, in Lorraine (France), during the monitoring of the collapse of a salt cavity of about 800.000 m3 at 120 m depth. - The RMS (Root Mean Square) levels, with the time recordings of the RMS power in four frequencybands (total signal; 30 Hz – 3 kHz; 3 kHz – 30 kHz; 30 kHz – 180 kHz). - The low frequency monitoring, which records the events from cracking to block falls, in the 30 Hz - 3 kHz frequency-band? - The high frequency monitoring, which deals with the recordings of events occurring in the 30 kHz - 180 kHz frequency-band? The hydroacoustic data highlight some interesting precursory signals before the collapse of the cavity. Indeed, the cumulative energy evolution of both low and high frequency events seems to be a good indicator of the mechanical state of the cavity. Moreover, the analysis of the recordings shows a new type of family events, which occurs a few hours before the failure phase. Finally, correlations have been performed between hydroacoustic recordings and other measurements acquired at the same time on the site, including strain measurements, and hydrostatic pressure of the brine, permitting to validate the hydroacoustic technique as a method adapted to monitor the mechanical instability of an underground cavity.
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- 2010
19. Companion guide to the Marsquake catalog from InSight, sols 0–478: Data content and non-seismic events
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Ceylan, Savas, Clinton, John Francis, Giardini, Domenico, Böse, Maren, Charalambous, Constantinos, van Driel, Martin, Horleston, Anna, Kawamura, Taichi, Khan, Amir, Orhand‐Mainsant, Guénolé, Scholz, John‐Robert, Stähler, Simon Christian, Euchner, Fabian, Banerdt, William B., Lognonne, Philippe, Banfield, Don, Beucler, Éric, Garcia, Raphaël F., Kedar, Sharon, Panning, Mark P., Pike, William T., Smrekar, Suzanne E., Spiga, Aymeric, Dahmen, Nikolaj Louis, Hurst, Kenneth, Stott, Alexander E., Lorenz, Ralph D., Schimmel, Martin, Stutzmann, Eléonore, ten Pierick, Jan, Conejero, Vincent, Pardo, Constanza, and Perrin, Clément
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Non-seismic signals ,13. Climate action ,Mars ,Data inventory ,InSight mission ,Marsquakes - Abstract
The InSight (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) mission landed on the surface of Mars on November 26, 2018. One of the scientific instruments in the payload that is essential to the mission is the SEIS package (Seismic Experiment for Interior Structure) which includes a very broadband and a short period seismometer. More than one year since the landing, SEIS continues to be fully operational and has been collecting an exceptional data set which contains not only the signals of seismic origins, but also noise and artifacts induced by the martian environment, the hardware on the ground that includes the seismic sensors, and the programmed operational activities of the lander. Many of these non-seismic signals will be unfamiliar to the scientific community. In addition, many of these signals have signatures that may resemble seismic events either or both in time and frequency domains. Here, we report our observations of common non-seismic signals as seen during the first 478 sols of the SEIS data, i.e. from landing until the end of March 2020. This manuscript is intended to provide a guide to scientists who use the data recorded on SEIS, detailing the general attributes of the most commonly observed non-seismic features. It will help to clarify the characteristics of the seismic dataset for future research, and to avoid misinterpretations when searching for marsquakes., Physics of the Earth and Planetary Interiors, 310, ISSN:0031-9201, ISSN:1872-7395
20. The Marsquake catalogue from InSight, sols 0–478
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Clinton, John Francis, Ceylan, Savas, van Driel, Martin, Giardini, Domenico, Stähler, Simon Christian, Böse, Maren, Charalambous, Constantinos, Dahmen, Nikolaj Louis, Horleston, Anna, Kawamura, Taichi, Khan, Amir, Orhand‐Mainsant, Guénolé, Scholz, John‐Robert, Euchner, Fabian, Banerdt, William B., Lognonne, Philippe, Banfield, Don, Beucler, Éric, Garcia, Raphaël F., Kedar, Sharon, Panning, Mark P., Perrin, Clément, Pike, William T., Smrekar, Suzanne E., Spiga, Aymeric, and Stott, Alexander E.
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13. Climate action ,Mars seismicity catalogue ,InSight mission ,Marsquakes - Abstract
The InSight (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) mission began collecting high quality seismic data on Mars in February 2019. This manuscript documents the seismicity observed by SEIS, InSight’s seismometer, from this time until the end of March 2020. Within the InSight project, the Marsquake Service (MQS) is responsible for prompt review of all seismic data collected by InSight, detection of events that are likely to be of seismic origin, and curation and release of seismic catalogues. In the first year of data collection, MQS have identified 465 seismic events that we interpret to be from regional and teleseismic marsquakes. Seismic events are grouped into 2 different event families: the low frequency family is dominated by energy at long period below 1 s, and the high frequency family primarily include energy at and above 2.4 Hz. Event magnitudes, from Mars-specific scales, range from 1.3 to 3.7. A third class of events with very short duration but high frequency bursts have been observed 712 times. These are likely associated with a local source driven by thermal stresses. This paper describes the data collected so far in the mission and the procedures under which MQS operates; summarises the content of the current MQS seismic catalogue; and presents the key features of the events we have observed so far, using the largest events as examples., Physics of the Earth and Planetary Interiors, 310, ISSN:0031-9201, ISSN:1872-7395
21. Seasonal seismic activity on Mars
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Knapmeyer, Martin, Stähler, Simon Christian, Daubar, Ingrid J., Forget, François, Spiga, Aymeric, Pierron, T., van Driel, Martin, Banfield, Don, Hauber, Ernst, Grott, Matthias, Muller, N., Perrin, Clément, Jacob, Alice, Lucas, Antoine, Knapmeyer-Endrun, Brigitte, Newman, Claire, Panning, Mark P., Weber, Renee, Calef, Fred J., Böse, Maren, Ceylan, Savas, Charalambous, Constantinos, Clinton, John Francis, Dahmen, Nikolaj, Giardini, Domenico, Horleston, Anna, Kawamura, Taichi, Khan, Amir, Mainsant, Guénolé, Plasman, Matthieu, Lemmon, Mark, Lorenz, Ralph, Pike, W.T., Scholz, John‐Robert, Lognonne, Philippe, and Banerdt, Bruce
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Phobos ,seasonal seismic activity ,13. Climate action ,Elysium Planitia ,Mars ,InSight - Abstract
The rate of occurrence of High Frequency (HF) marsquakes, as recorded by InSight at Homestead Hollow, Elysium Planitia, increased after about Ls =33°, and ceased almost completely by Ls =187°, following an apparently seasonal variation with a peak rate near aphelion. We define seismic rate models based on the declination of the Sun, annual solar tides, and the annual CO2 cycle as measured by atmospheric pressure. Evaluation of Akaike weights and evidence ratios shows that the declination of the Sun is the most likely, and the CO2 cycle the least likely driver of this seismic activity, although the discrimination is weak, and the occurrence of a few events in August 2020 is in favor for a triggering by CO2 ice load. We also show that no periodicity related to Phobos' orbit is present in the HF event sequence. Event rate forecasts are presented to allow further discrimination of candidate mechanisms from future observations., Earth and Planetary Science Letters, 576, ISSN:0012-821X, ISSN:1385-013X
22. Hydrogeology of the Pont Bourquin landslide, Swiss Alps
- Author
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Brönnimann, Cornelia, Michoud, Clément, Jongmans, Denis, Baron, Ludovic, Jaboyedoff, Michel, Larose, Eric, Mainsant, Guénolé, and Tacher, Laurent
23. Hydroacoustic monitoring of a salt cavity: an analysis of precursory events of the collapse
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Bureau de recherches géologiques et minières (BRGM) ; Bureau de Recherches Géologiques et Minières (BRGM), Risques ; Bureau de recherches géologiques et minières (BRGM) ; Bureau de Recherches Géologiques et Minières (BRGM) - Bureau de Recherches Géologiques et Minières (BRGM) - Institut des sciences de la Terre (ISTerre) ; INSU - OSUG - Université de Savoie - Université Joseph Fourier - Grenoble I - IFSTTAR - Institut de recherche pour le développement [IRD] : UR219 - CNRS - INSU - OSUG - Université de Savoie - Université Joseph Fourier - Grenoble I - IFSTTAR - Institut de recherche pour le développement [IRD] : UR219 - CNRS, GISOS, Lebert, François, Bernardie, Séverine, Mainsant, Guénolé, Bureau de recherches géologiques et minières (BRGM) ; Bureau de Recherches Géologiques et Minières (BRGM), Risques ; Bureau de recherches géologiques et minières (BRGM) ; Bureau de Recherches Géologiques et Minières (BRGM) - Bureau de Recherches Géologiques et Minières (BRGM) - Institut des sciences de la Terre (ISTerre) ; INSU - OSUG - Université de Savoie - Université Joseph Fourier - Grenoble I - IFSTTAR - Institut de recherche pour le développement [IRD] : UR219 - CNRS - INSU - OSUG - Université de Savoie - Université Joseph Fourier - Grenoble I - IFSTTAR - Institut de recherche pour le développement [IRD] : UR219 - CNRS, GISOS, Lebert, François, Bernardie, Séverine, and Mainsant, Guénolé
- Abstract
International audience, One of the main features of 'post mining' research relates to available methods for monitoring mine-degradation processes that could directly threaten surface infrastructures. In this respect GISOS, a French scientific interest group is investigating techniques for monitoring the eventual collapse of underground cavities. One of methods under investigation was monitoring the stability of a salt cavity through recording microseismic-precursor signals that may indicate the onset of rock failure. The data were recorded in a salt mine in Lorraine (France) when monitoring the controlled collapse of 2,000,000 m3 of rocks surrounding a cavity at 130 m depth. The monitoring in the 30 Hz to 3 kHz frequency range highlights the occurrence of events with high energy during periods of macroscopic movement, once the layers had ruptured; they appear to be the consequence of the post-rupture rock movements related to the intense deformation of the cavity roof. Moreover the analysis shows the presence of some interesting precursory signals before the cavity collapsed. They occur a few hours before the failure phases, when the rocks were being weakened and damaged. They come from the damaging and breaking process, when micro-cracks appear and then coalesce. From these results we expect that deeper signal analysis and statistical analysis on the complete event time distribution (several millions of files) will allow us to finalize a complete typology of each signal families and their relations with the evolution steps of the cavity over the five years monitoring.
24. Detection, Analysis, and Removal of Glitches From InSight's Seismic Data From Mars
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L. Pou, Martin Knapmeyer, S. Barkaoui, Taichi Kawamura, Eric Beucler, Amir Khan, Baptiste Pinot, Bruce Banerdt, Rakshit Joshi, Brigitte Knapmeyer-Endrun, John Clinton, Raphaël F. Garcia, Mickael Bonnin, Arthur Cuvier, Grégory Sainton, Constantinos Charalambous, Savas Ceylan, Sebastien de Raucourt, Eléonore Stutzmann, Simon Stähler, John-Robert Scholz, Paul M. Davis, Anna Horleston, Guenolé Orhand-Mainsant, Nicolas Compaire, Francis Nimmo, Ulrich R. Christensen, Martin van Driel, Domenico Giardini, William T. Pike, Martin Schimmel, Maren Böse, Alexander E. Stott, K. Hurst, Rudolf Widmer-Schnidrig, Philippe Lognonné, Agence Nationale de la Recherche (France), Swiss Space Office, Schimmel, Martin [0000-0003-2601-4462], Schimmel, Martin, Widmer‐Schnidrig, Rudolf, 2 Black Forest Observatory, Institute of Geodesy Stuttgart University Stuttgart Germany, Davis, Paul, 3 Department of Earth, Planetary, and Space Sciences University of California Los Angeles Los Angeles CA USA, Lognonné, Philippe, 4 Université de Paris, Institut de physique du globe de Paris, CNRS Paris France, Pinot, Baptiste, 5 Institut Supérieur de l'Aéronautique et de l'Espace SUPAERO Toulouse France, Garcia, Raphaël F., Hurst, Kenneth, 6 Jet Propulsion Laboratory California Institute of Technology Pasadena USA, Pou, Laurent, 7 Department of Earth and Planetary Sciences University of California Santa Cruz Santa Cruz CA USA, Nimmo, Francis, Barkaoui, Salma, de Raucourt, Sébastien, Knapmeyer‐Endrun, Brigitte, 8 Bensberg Observatory University of Cologne Bergisch Gladbach Germany, Knapmeyer, Martin, 9 DLR Institute of Planetary Research Berlin Germany, Orhand‐Mainsant, Guénolé, Compaire, Nicolas, Cuvier, Arthur, 10 Laboratoire de Planétologie et Géodynamique, Université de Nantes, Université d'Angers Nantes France, Beucler, Éric, Bonnin, Mickaël, Joshi, Rakshit, 1 Max Planck Institute for Solar System Research Göttingen Germany, Sainton, Grégory, Stutzmann, Eléonore, 11 Institute of Earth Sciences Jaume Almera ‐ CSIC Barcelona Spain, Horleston, Anna, 12 School of Earth Sciences University of Bristol Bristol UK, Böse, Maren, 13 Swiss Seismological Service (SED) ETH Zurich Zurich, Switzerland, Ceylan, Savas, 14 Institute of Geophysics ETH Zürich Zurich Switzerland, Clinton, John, van Driel, Martin, Kawamura, Taichi, Khan, Amir, Stähler, Simon C., Giardini, Domenico, Charalambous, Constantinos, 16 Department of Electrical and Electronic Engineering Imperial College London London UK, Stott, Alexander E., Pike, William T., Christensen, Ulrich R., Banerdt, W. Bruce, and Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
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Seismometer ,010504 meteorology & atmospheric sciences ,lcsh:Astronomy ,glitches ,seismometer ,Mars ,Environmental Science (miscellaneous) ,010502 geochemistry & geophysics ,01 natural sciences ,Glitches ,lcsh:QB1-991 ,Autre ,Broadband ,0105 earth and related environmental sciences ,InSight ,Data processing ,removal ,lcsh:QE1-996.5 ,Mars Exploration Program ,lcsh:Geology ,General Earth and Planetary Sciences ,InSight Mars Seismogramme Datenbearbeitung ,Mars seismology ,Removal ,Geology ,Seismology ,data processing - Abstract
The instrument package SEIS (Seismic Experiment for Internal Structure) with the three very broadband and three short‐period seismic sensors is installed on the surface on Mars as part of NASA's InSight Discovery mission. When compared to terrestrial installations, SEIS is deployed in a very harsh wind and temperature environment that leads to inevitable degradation of the quality of the recorded data. One ubiquitous artifact in the raw data is an abundance of transient one‐sided pulses often accompanied by high‐frequency spikes. These pulses, which we term “glitches”, can be modeled as the response of the instrument to a step in acceleration, while the spikes can be modeled as the response to a simultaneous step in displacement. We attribute the glitches primarily to SEIS‐internal stress relaxations caused by the large temperature variations to which the instrument is exposed during a Martian day. Only a small fraction of glitches correspond to a motion of the SEIS package as a whole caused by minuscule tilts of either the instrument or the ground. In this study, we focus on the analysis of the glitch+spike phenomenon and present how these signals can be automatically detected and removed from SEIS's raw data. As glitches affect many standard seismological analysis methods such as receiver functions, spectral decomposition and source inversions, we anticipate that studies of the Martian seismicity as well as studies of Mars' internal structure should benefit from deglitched seismic data., Plain Language Summary: The instrument package SEIS (Seismic Experiment for Internal Structure) with two fully equipped seismometers is installed on the surface of Mars as part of NASA's InSight Discovery mission. When compared to terrestrial installations, SEIS is more exposed to wind and daily temperature changes that leads to inevitable degradation of the quality of the recorded data. One consequence is the occurrence of a specific type of transient noise that we term “glitch”. Glitches show up in the recorded data as one‐sided pulses and have strong implications for the typical seismic data analysis. Glitches can be understood as step‐like changes in the acceleration sensed by the seismometers. We attribute them primarily to SEIS‐internal stress relaxations caused by the large temperature variations to which the instrument is exposed during a Martian day. Only a small fraction of glitches correspond to a motion of the whole SEIS instrument. In this study, we focus on the detection and removal of glitches and anticipate that studies of the Martian seismicity as well as studies of Mars's internal structure should benefit from deglitched seismic data., Key Points: Glitches due to steps in acceleration significantly complicate seismic records on Mars. Glitches are mostly due to relaxations of thermal stresses and instrument tilt. We provide a toolbox to automatically detect and remove glitches., Centre National d'Etudes Spatiales (CNES), InSight PSP Program, Agence Nationale de la Recherche http://dx.doi.org/10.13039/501100001665, ANR‐19‐CE31‐0008‐08
- Published
- 2020
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