182 research outputs found

    Variation de la vitesse des ondes de cisaillement lors de la transition solide-liquide au sein des argiles. Application aux glissements de terrain

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    Les glissements de terrain argileux affectent de nombreux versants Ă  travers le monde et menacent rĂ©guliĂšrement les activitĂ©s humaines dans les zones urbanisĂ©es montagneuses. Ces glissements sont caractĂ©risĂ©s par des cinĂ©matiques souvent lentes mais ils peuvent brutalement se liquĂ©fier et accĂ©lĂ©rer de maniĂšre imprĂ©visible. Cette transition solide-liquide a Ă©tĂ© Ă©tudiĂ©e sur les argiles de la rĂ©gion du TriĂšves (Alpes Françaises) Ă  l'aide d'Ă©tudes rhĂ©ologiques. Elles ont montrĂ© le caractĂšre de fluide Ă  seuil thixotrope avec une bifurcation de viscositĂ© importante lors de la fluidification pouvant expliquer le caractĂšre catastrophique de l'accĂ©lĂ©ration observĂ©e sur le terrain. Cette perte de rigiditĂ© du matĂ©riau peut ĂȘtre observĂ©e par une chute de la vitesse des ondes de cisaillement (Vs). Des Ă©tudes rĂ©alisĂ©es en parallĂšle Ă  la fois sur un modĂšle analogique de plan inclinĂ© et sur le terrain (glissement de Pont-Bourquin, Suisse) ont permis d'observer une chute de Vs prĂ©cĂ©dent Ă  cette fluidification montrant ainsi que Vs pourrait ĂȘtre un bon proxy pour la surveillance des instabilitĂ©s de terrain argileux.Landslides affect many clay slopes in the world and regularly threaten people in urban areas mountainous. These landslides are characterized by a slow velocity but they may suddenly liquefy and accelerate unexpectedly. The solid-liquid transition on the clay has been studied of TriĂšves region (French Alps) using rheological experiments. They have shown the yield stress thixotropic behavior with a viscosity bifurcation which can explain the catastrophic fluidization observed in the field. This loss of material stiffness can be followed by a drop in the shear wave velocity (Vs). Inclined plane test and field experiments (Pont-Bourquin landslides in Switzerland) have both shown a precursor drop of Vs indicating that it could be a good proxy for monitoring unstable clay slope.SAVOIE-SCD - Bib.Ă©lectronique (730659901) / SudocGRENOBLE1/INP-Bib.Ă©lectronique (384210012) / SudocGRENOBLE2/3-Bib.Ă©lectronique (384219901) / SudocSudocFranceF

    La viande du futur sera-t-elle produite in vitro ?

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    La production de viande artificielle par culture de cellules est proposĂ©e par certains scientifiques comme une des solutions pour rĂ©pondre aux grands enjeux de l’élevage : i) rĂ©duire le mal-ĂȘtre supposĂ© des animaux dans les Ă©levages modernes, voire ne pas tuer les animaux pour les manger, ii) rĂ©duire la possible dĂ©gradation de l’environnement par l’élevage et iii) rĂ©duire la faim dans le monde en augmentant le niveau des ressources protĂ©iques alimentaires. La viande artificielle supprimerait en effet le mal-ĂȘtre supposĂ© des animaux liĂ© Ă  l’élevage et permettrait de ne pas abattre les animaux pour les manger. L’impact environnemental de la viande artificielle est difficile Ă  Ă©valuer en l’absence de donnĂ©es sur le fonctionnement d’une usine de production. La viande artificielle prĂ©senterait toutefois un intĂ©rĂȘt modĂ©rĂ© pour rĂ©duire les gaz Ă  effet de serre et la pollution par les nitrates, un intĂ©rĂȘt limitĂ© quant Ă  l’utilisation des Ă©nergies fossiles, voire trĂšs limitĂ© pour limiter les besoins en eau, mais elle libĂ©rerait des terres cultivables. Elle entraĂźnerait probablement dans l’eau des rĂ©sidus de molĂ©cules de synthĂšse. De nombreux experts estiment que les causes de la malnutrition actuelle de certaines populations sont multiples et ne sont pas directement liĂ©es Ă  un manque de ressources alimentaires. Bien que la culture de cellules soit couramment pratiquĂ©e en laboratoire, il existe des verrous techniques importants Ă  lever pour une production Ă  grande Ă©chelle, tels que le coĂ»t rĂ©dhibitoire des technologies actuelles et le manque de ressemblance du produit obtenu Ă  de la viande issue d’animaux. Sur le plan nutritionnel, la viande artificielle ne prĂ©sente pas d’avantage particulier par rapport Ă  un autre aliment Ă©laborĂ© Ă  partir de l’ensemble des nutriments nĂ©cessaires Ă  sa production. Les critĂšres d’acceptabilitĂ© de la viande artificielle renvoient, d’une part, Ă  des questions d’ordre moral ou Ă©thique concernant la technologie et les inquiĂ©tudes qu’elle soulĂšve, et d’autre part, Ă  des considĂ©rations classiques relatives aux produits alimentaires (prix, qualitĂ©, naturalitĂ©...). Par le passĂ©, les expĂ©riences de substitution des protĂ©ines animales par des produits analogues ont Ă©chouĂ© en raison, notamment, de contraintes Ă©conomiques, du temps nĂ©cessaire pour l’éventuelle acceptation des produits par les consommateurs et pour la dĂ©livrance des autorisations de mise sur le marchĂ©. Face aux questionnements importants concernant l’élevage, la production de viande artificielle ne prĂ©sente pas aujourd’hui d’avantages majeurs par comparaison Ă  la viande naturelle ou Ă  d’autres alternatives possibles telles que rĂ©Ă©quilibrer notre alimentation en diversifiant les sources de protĂ©ines vĂ©gĂ©tales et animales, ou encore dĂ©velopper des systĂšmes d’élevage plus respectueux des animaux et de l’environnement

    Autocorrelation of the Ground Vibrations Recorded by the SEIS-InSight Seismometer on Mars

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    Since early February 2019, the SEIS (Seismic Experiment for Interior Structure) seismometer deployed at the surface of Mars in the framework of the InSight mission has been continuously recording the ground motion at Elysium Planitia. In this study, we take advantage of this exceptional data set to put constraints on the crustal properties of Mars using seismic interferometry (SI). To carry out this task, we first examine the continuous records from the very broadband seismometer. Several deterministic sources of environmental noise are identified and specific preprocessing strategies are presented to mitigate their influence. Applying the principles of SI to the single-station configuration of InSight, we compute, for each Sol and each hour of the martian day, the diagonal elements of the time-domain correlation tensor of random ambient vibrations recorded by SEIS. A similar computation is performed on the diffuse waveforms generated by more than a hundred Marsquakes. A careful signal-to-noise ratio analysis and an inter-comparison between the two datasets suggest that the results from SI are most reliable in a narrow frequency band around 2.4 Hz, where an amplification of both ambient vibrations and seismic events is observed. The average autocorrelation functions (ACFs) contain well identifiable seismic arrivals, that are very consistent between the two datasets. Interpreting the vertical and horizontal ACFs as, respectively, the P- and S- seismic reflectivity below InSight, we propose a simple stratified velocity model of the crust, which is mostly compatible with previous results from receiver function analysis. Our results are discussed and compared to recent works from the literature.This study is InSight contribution number 164. The authors acknowledge both “UniversitĂ© FĂ©dĂ©rale de Toulouse Midi PyrĂ©nĂ©es” and the “RĂ©gion Occitanie” for funding the PhD grant of Nicolas Compaire. The French authors acknowledge the French Space Agency CNES and ANR (ANR-14-CE36-0012-02 and ANR-19-CE31-0008-08) for funding the InSight Science analysis

    First Focal Mechanisms of Marsquakes

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    Since February 2019, NASA's InSight lander is recording seismic signals on the planet Mars, which, for the first time, allows to observe ongoing tectonic processes with geophysical methods. A number of Marsquakes have been located in the Cerberus Fossae graben system in Elysium Planitia and further west, in the Orcus Patera depression. We present a first study of the focal mechanisms of three well-recorded events (S0173a, S0183a, S0235b) to determine the processes dominating in the source region. We infer for all three events a predominantly extensional setting. Our method is adapted to the case of a single, multicomponent receiver and based on fitting waveforms of P and S waves against synthetic seismograms computed for the initial crustal velocity model derived by the InSight team. We explore the uncertainty due to the single-station limitation and find that even data recorded by one station constrains the mechanisms (reasonably) well. For the events in the Cerberus Fossae region (S0173a, S0235b) normal faulting with a relatively steep dipping fault plane is inferred, suggesting an extensional regime mainly oriented E-W to NE-SW. The fault regime in the Orcus Patera region is not determined uniquely because only the P wave can be used for the source inversion. However, we find that the P and weak S waves of the S0183a event show similar polarities to the event S0173, which indicates similar fault regimes

    Autocorrelation of the Ground Vibrations Recorded by the SEIS‐InSight Seismometer on Mars

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    Since early February 2019, the SEIS (Seismic Experiment for Interior Structure) seismometer deployed at the surface of Mars in the framework of the InSight mission has been continuously recording the ground motion at Elysium Planitia. In this study, we take advantage of this exceptional data set to put constraints on the crustal properties of Mars using seismic interferometry (SI). To carry out this task, we first examine the continuous records from the very broadband seismometer. Several deterministic sources of environmental noise are identified and specific preprocessing strategies are presented to mitigate their influence. Applying the principles of SI to the single-station configuration of InSight, we compute, for each Sol and each hour of the martian day, the diagonal elements of the time-domain correlation tensor of random ambient vibrations recorded by SEIS. A similar computation is performed on the diffuse waveforms generated by more than a hundred Marsquakes. A careful signal- to-noise ratio analysis and an inter-comparison between the two datasets suggest that the results from SI are most reliable in a narrow frequency band around 2.4 Hz, where an amplification of both ambient vibrations and seismic events is observed. The average autocorrelation functions (ACFs) contain well identifiable seismic arrivals, that are very consistent between the two datasets. Interpreting the vertical and horizontal ACFs as, respectively, the P- and S- seismic reflectivity below InSight, we propose a simple stratified velocity model of the crust, which is mostly compatible with previous results from receiver function analysis. Our results are discussed and compared to recent works from the literature

    Detection, analysis, and removal of glitches from InSight's seismic data from Mars

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    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.Centre National d'Etudes Spatiales (CNES)Swiss SpaceOffice (SSO)Agence Nationale de la RechercheDLR German Space AgencyInSight PSP progra

    The seismicity of Mars

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    The InSight (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) mission landed in Elysium Planitia on Mars on 26 November 2018 and fully deployed its seismometer by the end of February 2019. The mission aims to detect, characterize and locate seismic activity on Mars, and to further constrain the internal structure, composition and dynamics of the planet. Here, we present seismometer data recorded until 30 September 2019, which reveal that Mars is seismically active. We identify 174 marsquakes, comprising two distinct populations: 150 small-magnitude, high-frequency events with waves propagating at crustal depths and 24 low-frequency, subcrustal events of magnitude Mw 3–4 with waves propagating at various depths in the mantle. These marsquakes have spectral characteristics similar to the seismicity observed on the Earth and Moon. We determine that two of the largest detected marsquakes were located near the Cerberus Fossae fracture system. From the recorded seismicity, we constrain attenuation in the crust and mantle, and find indications of a potential low-S-wave-velocity layer in the upper mantle. © 2020, The Author(s), under exclusive licence to Springer Nature Limited.We acknowledge NASA, CNES and its partner agencies and institutions (UKSA, SSO, DLR, JPL, IPGP-CNRS, ETHZ, IC and MPS-MPG) and the flight operations team at JPL, SISMOC, MSDS, IRIS-DMC and PDS for providing SEIS data. The Swiss co-authors were jointly funded by (1) the Swiss National Science Foundation and French Agence Nationale de la Recherche (SNF-ANR project 157133 ‘Seismology on Mars’), (2) the Swiss National Science Foundation (SNF project 172508 ‘Mapping the internal structure of Mars’), (3) the Swiss State Secretariat for Education, Research and Innovation (SEFRI project ‘MarsQuake Service-Preparatory Phase’) and (4) ETH Research grant no. ETH-06 17-02. Additional support came from the Swiss National Supercomputing Centre (CSCS) under project ID s922. The Swiss contribution in the implementation of the SEIS electronics was made possible by funding from the federal Swiss Space Office (SSO) and contractual and technical support from the ESA-PRODEX office. The French Team acknowledge the French Space Agency CNES, which has supported and funded all SEIS-related contracts and CNES employees, as well as CNRS and the French team universities for personal and infrastructure support. Additional support was provided by ANR (ANR-14-CE36-0012-02 and ANR-19-CE31-0008-08) and, for the IPGP team, by the UnivEarthS Labex programme (ANR-10-LABX-0023), IDEX Sorbonne Paris CitĂ© (ANR-11-IDEX-0005-0). SEIS-SP development and delivery were funded by the UK Space Agency. A portion of the work was carried out at the InSight Project at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The MPS SEIS team acknowledges funding for development of the SEIS leveling system by the DLR German Space Agency. We thank gempa GmbH for software development related to the MQS tools. This paper is InSight contribution number 102.Peer reviewe

    Constraints on the shallow elastic and anelastic structure of Mars from InSight seismic data

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    Mars’s seismic activity and noise have been monitored since January 2019 by the seismometer of the InSight (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) lander. At night, Mars is extremely quiet; seismic noise is about 500 times lower than Earth’s microseismic noise at periods between 4 s and 30 s. The recorded seismic noise increases during the day due to ground deformations induced by convective atmospheric vortices and ground-transferred wind-generated lander noise. Here we constrain properties of the crust beneath InSight, using signals from atmospheric vortices and from the hammering of InSight’s Heat Flow and Physical Properties (HP3) instrument, as well as the three largest Marsquakes detected as of September 2019. From receiver function analysis, we infer that the uppermost 8–11 km of the crust is highly altered and/ or fractured. We measure the crustal diffusivity and intrinsic attenuation using multiscattering analysis and find that seismic attenuation is about three times larger than on the Moon, which suggests that the crust contains small amounts of volatiles
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