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  • NEANIAS Atmospheric Research Community
  • 2021-2021
  • Publications
  • Research data
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  • EU
  • Mémoires en Sciences de l'Informati...

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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: F. Forouzanmehr; Q.H. Le; Kimberly Solon; V. Maisonnave; +4 Authors

    International audience; Even though sulfur compounds and their transformations may strongly affect wastewater treatment processes,their importance in water resource recovery facilities (WRRF) operation remains quite unexplored, notablywhen it comes to full-scale and plant-wide characterization. This contribution presents afirst-of-a-kind, plant-wide quantification of total sulfur massflows for all water and sludge streams in a full-scale WRRF. Because ofits important impact on (post-treatment) process operation, the gaseous emission of sulfur as hydrogen sulfide(H2S) was also included, thus enabling a comprehensive evaluation of sulfurflows. Data availability and qualitywere optimized by experimental design and data reconciliation, which were applied for thefirst time to total sul-furflows. Total sulfurflows were successfully balanced over individual process treatment units as well as theplant-wide system with only minor variation to their original values, confirming that total sulfur is a conservativequantity. The two-stage anaerobic digestion with intermediate thermal hydrolysis led to a decreased sulfur con-tent of dewatered sludge (by 36%). Higher (gaseous) H2S emissions were observed in the second-stage digester(42% of total emission) than in thefirst one, suggesting an impact of thermal treatment on the production of H2S.While the majority of sulfur massflow from the influent left the plant through the treated effluent (> 95%), thesulfur discharge through dewatered sludge and gaseous emissions are critical. The latter are indeed responsiblefor odour nuisance, lower biogas quality, SO2emissions upon sludge combustion and corrosion effects.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Ghent University Aca...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    The Science of The Total Environment
    Other literature type . Article . 2021 . Peer-reviewed
    License: Elsevier TDM
    Hal-Diderot
    Article . 2021
    Data sources: Hal-Diderot
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Cao, Jian; Brossier, Romain; Métivier, Ludovic;

    International audience; Ocean-bottom seismic acquisition is attractive for the exploration of challenging marine environments. Compared with conventional streamer acquisitions, its separation of sources and receivers makes a significant improvement in terms of illumination, especially at depth. Furthermore, such acquisition system makes it possible to record fourcomponent data through a combination of hydrophones and threecomponent (3C) geophones. The information on elastic properties of the subsurface is better captured by those 3C geophones on the seabed. This information is mostly overlooked up to now, while reconstructing jointly P-wave and S-wave velocity models would significantly improve the subsurface characterization. To achieve such a highresolution multi-parameter reconstruction, we design an efficient 3D fluid-solid coupled full waveform inversion (FWI) engine. It is based on the acoustic-elastic coupled wave-equation system, in which fluid and solid domains are divided explicitly and handled with acousticand elastic-wave equations, respectively. A hybrid approach for the misfit gradient building is proposed in such fluid-solid coupled FWI, in which multi-parameter gradient kernels, including the one related to S-wave velocity, are constructed by using a similar modeling solver in both forward and adjoint simulations. This FWI engine is illustrated on a bilayered 2D model and a 3D extended Marmousi model. We show how P-wave and S-wave velocity models can be inferred from the data, and that the resolution improvement can be obtained from the reconstruction of the S-wave velocity model, which highlights the important contribution of 3C geophone dataset.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://hal.archives...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    https://hal.archives-ouvertes....
    Conference object
    Data sources: UnpayWall
    https://doi.org/10.1190/segam2...
    Conference object . 2021 . Peer-reviewed
    Data sources: Crossref
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: El Hafyani, Hafsa; Abboud, Mohammad; Zuo, Jingwei; Zeitouni, Karine; +1 Authors

    International audience; Wide spread use of sensors and mobile devices along with the new paradigm of Mobile Crowd-Sensing (MCS), allows monitoring air pollution in urban areas. Several measurements are collected, such as Particulate Matters, Nitrogen dioxide, and others. Mining the context of MCS data in such domains is a key factor for identifying the individuals' exposure to air pollution, but it is challenging due to the lack or the weakness of predictors. We have previously developed a multi-view learning approach which learns the context solely from the sensor measurements. In this demonstration, we propose a visualization tool (COMIC) showing the different recognized contexts using an improved version of our algorithm. We also demonstrate the change points detected by a multi-dimensional CPD model. We leverage real data from a MCS campaign, and compare different methods.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://hal.uvsq.fr/...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    https://hal.uvsq.fr/hal-033369...
    Conference object
    License: CC BY
    Data sources: UnpayWall
    https://doi.org/10.1145/346983...
    Conference object . 2021 . Peer-reviewed
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://hal.uvsq.fr/...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      https://hal.uvsq.fr/hal-033369...
      Conference object
      License: CC BY
      Data sources: UnpayWall
      https://doi.org/10.1145/346983...
      Conference object . 2021 . Peer-reviewed
      Data sources: Crossref
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Patrick Tamain; H. Bufferand; G. Ciraolo; C. Giroud; +5 Authors

    Abstract The modelling of JET corner configurations, in which the strike points are positioned deep in the corners of the divertor, is extremely challenging for edge plasma fluid modelling tools. To circumvent this technical limitation, a geometrical approximation has been proposed, consisting in considering an artificial minor modification of the geometry of the divertor targets plates. In this paper, we investigate how significantly this approximation impacts the output of transport simulations. Using the SOLEDGE2D-EIRENE transport code which has the unique capability to be able to cope with both the full and the approximated geometry, we have performed a density scan in H-mode for pulses in which the outer strike-point lies in the corner of the divertor. We report here how simulations in the artificial geometry differ from the ones in unaltered geometry. At the exception of low density cases, mid-plane profiles in the closed field lines region and the near scrape-off layer are little impacted. Further out however, in flux-surfaces that are concerned by the geometrical modification, we find that modifying the geometry leads to a strong overestimate of the plasma density. The density perturbation is not local and concerns the whole flux surfaces. Although the divertor geometry is modified only on the outer side, the largest impact is found at the inner divertor where densities are systematically overestimated by a factor that can exceed 10 in low density cases in the far Scrape-Off Layer (SOL) and temperature underestimated by 10 to 20 eV in most of the studied density range. The near SOL and strike point peak values are also impacted in the same direction with density changes by a factor of 2. As a consequence, the threshold to detachment of the inner divertor is found lower in the approximate geometry than in the unaltered one. Due to the large flux expansion between the outer and the inner target, the difference in plasma is especially sensitive at the top of the inner divertor baffle, which could have consequence on the evaluation of physical sputtering at that critical location.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ CNR ExploRAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    CNR ExploRA
    Article . 2021
    Data sources: CNR ExploRA
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Nuclear Materials and Energy
    Other literature type . Article . 2021 . Peer-reviewed
    License: Elsevier TDM
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Hyper Article en Ligne
    Other literature type . 2021
    DOAJ
    Article . 2021
    Data sources: DOAJ
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Zoé Perrin; Nathalie Carrasco; Audrey Chatain; Lora Jovanovic; +3 Authors

    <ul> <li><strong>Introduction</strong></li> </ul> <p>Titan, Saturn's largest moon, has a thick nitrogen-based atmosphere, where during its flyby, the IRIS infrared spectrometer aboard the Voyager 1 spacecraft detected nitriles, such as HCN, formed by EUV photochemistry based on methane CH<sub>4</sub> and molecular nitrogen N<sub>2</sub>. Titan is also surrounded by an organic photochemical haze, according to the observations of the Cassini-Huygens and Voyager 1 missions.</p> <p>In-situ measurements by the Huygens spacecraft [1], and laboratory experiments synthesizing Titan analog aerosols (called tholins), have revealed that HCN is one of the major chemical signatures extracted from the aerosols, and their laboratory analogues.</p> <p>Laboratory experiments were conducted using a powder plasma reactor mimicking Titan's ionosphere, replicating the formation of Titan-like organic aerosols, and the associated chemistry. In this work, we simultaneously study the temporal evolution of HCN present in the gas phase, and the formation and growth of Titan tholins.</p> <p> </p> <ul> <li><strong>1 - Aerosol production</strong></li> </ul> <p>Analogues of Titan aerosols are formed using the experiment PAMPRE [4]. PAMPRE is a reaction chamber, where a cold radiofrequency plasma capacitively coupled is ignited at low pressure (~0.9 mbar). A gas mixture of 95% N<sub>2</sub> and 5% CH<sub>4</sub> is introduced into the reactor. Subsequently, a 12W discharge is generated between two electrodes, which ionizes the N<sub>2</sub> and CH<sub>4</sub> present.</p> <p>In this plasma, the radicals and products formed by ionization of methane and nitrogen, will combine by several reaction pathways, to form more complex organic particles and nitriles such as HCN, in the same way as in the ionosphere of Titan.</p> <p>In this study, the gas flow rate was optimized, to increase the residence time of the gas mixture in the reactor as much as possible. The chemical growth of the solid particles is thus favored, allowing to follow simultaneously the formation and the evolution of the particles, as well as the co-evolution of the gas mixture composition.</p> <p> </p> <ul> <li><strong>2 - Morphology analysis of tholins by scanning electron microscopy</strong></li> </ul> <p>The formed samples were observed by scanning electron microscopy (SEM field emission gun).</p> <p><img src="data:image/png;base64, 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    Authors: Marco Cirelli; Nicolao Fornengo; Bradley J. Kavanagh; Elena Pinetti;

    We also acknowledge the following organizations for support: European Research Council (ERC) under the EU Seventh Framework Programme (Grant No. FP7/2007-2013)/ERC Starting Grant (Agreement No. 278234—“NEWDARK” project); CNRS 80|Prime grant (“DAMEFER” project) (M. C.); Departments of Excellence grant awarded by the Italian Ministry of Education, University and Research (MIUR) (N. F. and E. P.); Research grant of the Università Italo-Francese, under Bando Vinci 2020 (E. P.); Research grant The Dark Universe: A Synergic Multimessenger Approach, Grant No. 2017X7X85K funded by the Italian Ministry of Education, University and Research (MIUR); Research grant The Anisotropic Dark Universe, Grant No. CSTO161409, funded by Compagnia di Sanpaolo and University of Torino; Research grant TASP (Theoretical Astroparticle Physics) funded by Istituto Nazionale di Fisica Nucleare (INFN) (N. F. and E. P.); Spanish Agencia Estatal de Investigación (AEI, MICIU) for the support to the Unidad de Excelencia María de Maeztu Instituto de Física de Cantabria, Ref. No. MDM-2017-0765 (B. J. K.). Light dark matter (DM), defined here as having a mass between 1 MeV and about 1 GeV, is an interesting possibility both theoretically and phenomenologically, at one of the frontiers of current progress in the field of DM searches. Its indirect detection via gamma rays is challenged by the scarcity of experiments in the MeV–GeV region. We look therefore at lower-energy x-ray data from the INTEGRAL telescope, and compare them with the predicted DM flux. We derive bounds which are competitive with existing ones from other techniques. Crucially, we include the contribution from inverse Compton scattering on galactic radiation fields and the cosmic microwave background, which leads to much stronger constraints than in previous studies for DM masses above 20 MeV. Funded by SCOAP3. Peer reviewed

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      Hyper Article en Ligne
      Other literature type . 2021
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      UCrea
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      https://doi.org/10.1103/physre...
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      https://doi.org/10.22323/1.395...
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      https://doi.org/10.48550/arxiv...
      Article . 2020
      License: arXiv Non-Exclusive Distribution
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Bessière Eloïse; Jolivet Laurent; Augier Romain; Scaillet Stéphane; +5 Authors

    International audience; The long-term Pressure-Temperature-time-deformation (P-T-t-d) evolution of the internal zones of orogens results from complex interactions between the subducting lithosphere, the overriding plate and the intervening asthenosphere. 2-D numerical models successfully reproduce natural P-T-t-d paths, but most orogens are non-cylindrical and the situation is far more complex due to 3-D pre-orogenic inheritance and 3-D subduction dynamics. The Mediterranean orogens are intrinsically non-cylindrical. Their 3-D geometry results from the complex shape of the Eurasian and African margins before convergence and from the dynamics of slab retreat and tearing leading to strongly arcuate belts. More than many other segments, the Betic-Rif belt is archetypal of this behavior. A synthesis of the tectonometamorphic evolution of the Internal Zones, also based on recent findings by our group in the framework of the Orogen Project (Alboran domain, including the Alpujárride-Sebtide and Nevado-Filábride complexes) shows the relations in space and time between tectonic and P-T evolutions. The reinterpretation of the contact between peridotite massifs and Mesozoic sediments as an extensional detachment leads to a discussion of the geodynamic setting and timing of mantle exhumation. Based on new 40Ar/39Ar ages in the Alpujárride-Sebtide complex and a discussion of published ages in the Nevado-Filábride complex, we conclude that the age of the HP-LT metamorphism is Eocene in all complexes. A first-order observation is the contrast between the well-preserved Eocene HP-LT blueschists-facies rocks of the eastern Alpujárride-Sebtide Complex and the younger HT-LP conditions reaching partial meltingrecorded in the Western Alpujárride. We propose a model where the large longitudinal variations in the P-T evolution are mainly due to (i) differences in the timing of subduction and exhumation, (ii) the nature of the subducting lithosphere and (iii) a major change in subduction dynamics at ~20 Ma associated with a slab-tearing event. The clustering of radiometric ages obtained with different methods around 20 Ma results from a regional exhumation episode coeval with slab tearing, westward migration of the trench, back-arc extension and thrusting of the whole orogen onto the African and Iberian margins.; L’évolution pressure-température-temps-déformation (P-T-t-d) des zones internes des orogènes résulte d’interactions complexes entre la lithosphère subduite, la plaque chevauchante et le manteau asthénosphérique. Les modèles numériques 2-D reproduisent assez bien les chemins P-T-t-d, mais les orogènes sont rarement cylindriques. L’héritage de la géométrie 3-D pré-orogénique et la dynamique 3-D de subduction rendent en effet la situation souvent plus complexe. Les orogènes méditerranéens sont intrinsèquement non-cylindriques parce que la géométrie des marges africaines et eurasiennes avant la collision était également non-cylindrique et parce que les panneaux lithosphériques en subduction ont changé de forme pendant le recul des fosses. Ils sont devenus plus étroits à la suite d’une série déchirures qui ont conduit à la formation d’arcs fortement pincés. L’orogène bético-rifain est emblématique de ce comportement, plus que tout autre segment. Une synthèse de l’évolution tectonométamorphique des zones internes de cet orogène, en partie basée sur des observations récentes faites par notre groupe dans le cadre du programme Orogen, dans le Domaine d’Alboran (incluant les nappes des Alpujárride-Sebtide et des Nevado-Filábride) montre les relations dans l’espace et le temps entre la éformation et l’évolution P-T. Une réinterprétation du contact entre les massifs péridotitiques et les sédiments carbonatés mésozoïques dans la région de Ronda conduit à une discussion sur le calendrier et le mécanisme de l’exhumation du manteau. Nous montrons que l’âge du métamorphisme de subduction est partout éocène en nous appuyant sur de nouveaux âges 40Ar/39Ar dans les Alpujárride-Sebtide et sur une discussion des âges publiés dans les Nevado-Filábride. Une observation de premier ordre est le contraste marqué entre les unités à paragenèses de HP-BT bien préservées des AlpujárrideSebtide orientales et centrales et les unités affectées par un métamorphisme plus jeune de HTLP atteignant les conditions de l’anatexie dans l’ouest des Alpujárride-Sebtide. Nous proposons un modèle où les variations longitudinales de la forme des conditions P-T résultent principalement de (i) différents calendriers de la subduction et de l’exhumation, (ii) la nature de la lithosphère subduite et (iii) un changement majeur de la dynamique de subduction il y a environ 20 Ma, associé à une déchirure du panneau plongeant. Le regroupement des âges radiométriques obtenus par différentes méthodes autour de 20 Ma dans toute la région résulte d’un épisode régional d’exhumation associé à la déchirure du panneau plongeant, la migration de la fosse vers l’ouest, l’extension arrière-arc et le chevauchement de l’ensemble de l’orogène sur les marges africaine et ibérique.

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    DOAJ
    Article . 2021
    Data sources: DOAJ
    https://doi.org/10.5194/egusph...
    Other literature type . 2021
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    Authors: Francesca Zambon; Cristian Carli; Francesca Altieri; Jean-Philippe Combe; +7 Authors

    <p>The spectral analysis of a planetary surface is fundamental for a deeper understanding of the mineralogy and composition. In particular, the determination of spectral units is a reliable method to infer the physical and compositional properties of a surface by processing several spectral parameters simultaneously, instead of the more traditional approach of interpreting each single parameter separately. To define the spectal units, we first compute the most relevant spectral parameters, based on a preliminary detailed analysis of the spectral properties of a surface. This method could be used for different bodies and is described in [1].</p><p>For this work, we selected the Apollo Basin area within South Polar Aitken [2,3], the largest and deepest impact basin on the Moon. We analyzed the M<sup>3</sup>/Chandrayaan-1 data [4] after performing the most up-to-date calibration, thermal removal and photometric correction [5,6]. Lunar spectra are characterized by two strong pyroxenes absorption bands at 1 and 2 µm. In this regard, we decided to define the Apollo Basin spectral units by using the two pyroxenes band depths, the reflectance at 540 nm (standard visible wavelength), and the spectral slope of the 1 µm (see [7]). In Apollo Basin, we found 12 different spectral units. Among these units, the most peculiar is the one linked to the basaltic smooth plains within the floor of the crater. This unit is characterized by low reflectance, deep band depths and a strongly positive spectral slopes (more red surfaces). Subsequently, an analysis of absorption band center at 1 and 2 µm and a comparison with RELAB synthetic pyroxenes [8] revealed a composition compatible with material dominated by strong pyroxene absorptions, e.g. clinopiroxenes, such as pigeonite or augite, with Low Ca and Mg, and relatively high Fe (Fs: 34-75; En: 6-23; Wo: 10-27). The rest of the units show a similar mineralogy to the orthopyroxenes, with intermediate amount of Fe and Mg.</p><p>This work allows for a detailed understanding of the mineralogy of Apollo Basin, but also lays the groundwork to search for a link between spectral, and morpho-stratigraphic units [9] to reach out highly informative geological maps of the Moon. This innovative approach is one of the main goals of the H2020 no. 776276-PLANMAP project [10].</p><p><strong>Acknowledgments: </strong>This work is funded by the European Union’s Horizon 2020 research grant agreement No 776276- PLANMAP.</p><p><strong>References: </strong>[1] Zambon et al., 2020 LPSC. [2] Ohtake, M. et al., 2014, GRL. [3] Moriarty, D.P. et al., 2018, JGR. [4] Pieters et al., 2009, Current Science. [5] PLANMAP D4.3- Spectral Indices and RGB maps. [6] Besse, S. et al., 2012, Icarus. [7] PLANMAP D4.3- Spectral Indices and RGB maps. [8] http://planetary.brown.edu/relabdocs/synth_pyx/pyroxenes.html. [9] Ivanov, M.A., 2018, JGR. [10] https://www.planmap.eu/.</p>

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  • Authors: Athanassios Ganas; Sotiris Valkaniotis; Panagiotis Elias; Varvara Tsironi; +4 Authors

    <p>On December 29, 2020, at 11:19 UTC, a strong (M6.4), shallow earthquake occurred in the central region of Croatia. The epicentre was located near the town of Petrinja, about 40 km to the south of the capital, Zagreb. Here we present a preliminary analysis of the geodetic data (differential InSAR & GNSS) and preliminary estimates of the slip that occurred on the fault during the earthquake and subsequent aftershocks. We picked InSAR data to invert for the seismic fault assuming linear rheology and Okada-type dislocation (rectangular) source with non-uniform slip. The interferograms show an asymmetric, four‐lobed pattern, centered on a NW‐SE oriented discontinuity that is in agreement with the right-lateral plane of the moment tensor solutions for the mainshock. We found that the Petrijna earthquake ruptured a segment of a strike-slip fault zone that is shorter (8 km) than average and with larger slip (~ 3 m). All parameters of the seismic fault are well constrained by InSAR modeling due to the full azimuthal coverage with both ascending and descending data of good quality. The fit to the fringes is better with a steep dip angle (76°) than with a purely vertical fault. The upper edge of the modeled fault is at a depth of ~1 km, this means that the slip drop from 3 to 0 m in the uppermost kilometer and our geodetic analysis cannot assess whether the fault reached the surface in some sections of the fault, however should this be the case, we expect ruptures at the surface in the range of 0.1 to 0 m for consistency with our model and the structure of the fringes pattern. In particular, preliminary modelling results with distributed fault-slip show that the slip reached a peak of more than 2.5 m at a depth of about 2 km. We also found that, differently from what reported in the European database of seismogenic sources (EDSF), the seismic fault dips westward instead of eastward. Additionally, the 2020 rupture and the InSAR mapped trace do not match the EDSF composite seismogenic fault surface trace. Kinematic analysis of GNSS waveforms at station BJEL (about 70-km east of the epicentre) revealed that horizontal ground motion reached 7-cm (peak-to-peak). The InSAR data revealed a 7 km of right-lateral afterslip on the NW-edge of the rupture, and 5 km to the south of the main fault rupture. In particular, the afterslip data on the NW edge of the rupture document the curved shape of the post-seismic deformation, that highlights the non-planarity of faults in nature and possibly indicating the existence of a ramp structure connecting to the neighboring segment towards north.</p>

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    Authors: Filippo Vingiani; Nicola Durighetto; Marcus Klaus; Jakob Schelker; +2 Authors

    Carbon dioxide (CO2) emissions from running waters represent a key component of the global carbon cycle. However, quantifying CO2 fluxes across air–water boundaries remains challenging due to practical difficulties in the estimation of reach-scale standardized gas exchange velocities (k600) and water equilibrium concentrations. Whereas craft-made floating chambers supplied by internal CO2 sensors represent a promising technique to estimate CO2 fluxes from rivers, the existing literature lacks rigorous comparisons among differently designed chambers and deployment techniques. Moreover, as of now the uncertainty of k600 estimates from chamber data has not been evaluated. Here, these issues were addressed by analysing the results of a flume experiment carried out in the Summer of 2019 in the Lunzer:::Rinnen – Experimental Facility (Austria). During the experiment, 100 runs were performed using two different chamber designs (namely, a standard chamber and a flexible foil chamber with an external floating system and a flexible sealing) and two different deployment modes (drifting and anchored). The runs were performed using various combinations of discharge and channel slope, leading to variable turbulent kinetic energy dissipation rates (1.5×10-3<ε<1×10-1 m2 s−3). Estimates of gas exchange velocities were in line with the existing literature (4<k600<32 m2 s−3), with a general increase in k600 for larger turbulent kinetic energy dissipation rates. The flexible foil chamber gave consistent k600 patterns in response to changes in the slope and/or the flow rate. Moreover, acoustic Doppler velocimeter measurements indicated a limited increase in the turbulence induced by the flexible foil chamber on the flow field (22 % increase in ε, leading to a theoretical 5 % increase in k600). The uncertainty in the estimate of gas exchange velocities was then estimated using a generalized likelihood uncertainty estimation (GLUE) procedure. Overall, uncertainty in k600 was moderate to high, with enhanced uncertainty in high-energy set-ups. For the anchored mode, the standard deviations of k600 were between 1.6 and 8.2 m d−1, whereas significantly higher values were obtained in drifting mode. Interestingly, for the standard chamber the uncertainty was larger (+ 20 %) as compared to the flexible foil chamber. Our study suggests that a flexible foil design and the anchored deployment might be useful techniques to enhance the robustness and the accuracy of CO2 measurements in low-order streams. Furthermore, the study demonstrates the value of analytical and numerical tools in the identification of accurate estimations for gas exchange velocities. These findings have important implications for improving estimates of greenhouse gas emissions and reaeration rates in running waters.

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    Biogeosciences (BG)
    Other literature type . 2021
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    Biogeosciences (BG)
    Other literature type . 2020
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    Conference object . 2020
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    https://doi.org/10.5194/egusph...
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: F. Forouzanmehr; Q.H. Le; Kimberly Solon; V. Maisonnave; +4 Authors

    International audience; Even though sulfur compounds and their transformations may strongly affect wastewater treatment processes,their importance in water resource recovery facilities (WRRF) operation remains quite unexplored, notablywhen it comes to full-scale and plant-wide characterization. This contribution presents afirst-of-a-kind, plant-wide quantification of total sulfur massflows for all water and sludge streams in a full-scale WRRF. Because ofits important impact on (post-treatment) process operation, the gaseous emission of sulfur as hydrogen sulfide(H2S) was also included, thus enabling a comprehensive evaluation of sulfurflows. Data availability and qualitywere optimized by experimental design and data reconciliation, which were applied for thefirst time to total sul-furflows. Total sulfurflows were successfully balanced over individual process treatment units as well as theplant-wide system with only minor variation to their original values, confirming that total sulfur is a conservativequantity. The two-stage anaerobic digestion with intermediate thermal hydrolysis led to a decreased sulfur con-tent of dewatered sludge (by 36%). Higher (gaseous) H2S emissions were observed in the second-stage digester(42% of total emission) than in thefirst one, suggesting an impact of thermal treatment on the production of H2S.While the majority of sulfur massflow from the influent left the plant through the treated effluent (> 95%), thesulfur discharge through dewatered sludge and gaseous emissions are critical. The latter are indeed responsiblefor odour nuisance, lower biogas quality, SO2emissions upon sludge combustion and corrosion effects.

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    The Science of The Total Environment
    Other literature type . Article . 2021 . Peer-reviewed
    License: Elsevier TDM
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    Authors: Cao, Jian; Brossier, Romain; Métivier, Ludovic;

    International audience; Ocean-bottom seismic acquisition is attractive for the exploration of challenging marine environments. Compared with conventional streamer acquisitions, its separation of sources and receivers makes a significant improvement in terms of illumination, especially at depth. Furthermore, such acquisition system makes it possible to record fourcomponent data through a combination of hydrophones and threecomponent (3C) geophones. The information on elastic properties of the subsurface is better captured by those 3C geophones on the seabed. This information is mostly overlooked up to now, while reconstructing jointly P-wave and S-wave velocity models would significantly improve the subsurface characterization. To achieve such a highresolution multi-parameter reconstruction, we design an efficient 3D fluid-solid coupled full waveform inversion (FWI) engine. It is based on the acoustic-elastic coupled wave-equation system, in which fluid and solid domains are divided explicitly and handled with acousticand elastic-wave equations, respectively. A hybrid approach for the misfit gradient building is proposed in such fluid-solid coupled FWI, in which multi-parameter gradient kernels, including the one related to S-wave velocity, are constructed by using a similar modeling solver in both forward and adjoint simulations. This FWI engine is illustrated on a bilayered 2D model and a 3D extended Marmousi model. We show how P-wave and S-wave velocity models can be inferred from the data, and that the resolution improvement can be obtained from the reconstruction of the S-wave velocity model, which highlights the important contribution of 3C geophone dataset.

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    https://hal.archives-ouvertes....
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    https://doi.org/10.1190/segam2...
    Conference object . 2021 . Peer-reviewed
    Data sources: Crossref
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    Authors: El Hafyani, Hafsa; Abboud, Mohammad; Zuo, Jingwei; Zeitouni, Karine; +1 Authors

    International audience; Wide spread use of sensors and mobile devices along with the new paradigm of Mobile Crowd-Sensing (MCS), allows monitoring air pollution in urban areas. Several measurements are collected, such as Particulate Matters, Nitrogen dioxide, and others. Mining the context of MCS data in such domains is a key factor for identifying the individuals' exposure to air pollution, but it is challenging due to the lack or the weakness of predictors. We have previously developed a multi-view learning approach which learns the context solely from the sensor measurements. In this demonstration, we propose a visualization tool (COMIC) showing the different recognized contexts using an improved version of our algorithm. We also demonstrate the change points detected by a multi-dimensional CPD model. We leverage real data from a MCS campaign, and compare different methods.

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    https://hal.uvsq.fr/hal-033369...
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    https://doi.org/10.1145/346983...
    Conference object . 2021 . Peer-reviewed
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      https://hal.uvsq.fr/hal-033369...
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      https://doi.org/10.1145/346983...
      Conference object . 2021 . Peer-reviewed
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    Authors: Patrick Tamain; H. Bufferand; G. Ciraolo; C. Giroud; +5 Authors

    Abstract The modelling of JET corner configurations, in which the strike points are positioned deep in the corners of the divertor, is extremely challenging for edge plasma fluid modelling tools. To circumvent this technical limitation, a geometrical approximation has been proposed, consisting in considering an artificial minor modification of the geometry of the divertor targets plates. In this paper, we investigate how significantly this approximation impacts the output of transport simulations. Using the SOLEDGE2D-EIRENE transport code which has the unique capability to be able to cope with both the full and the approximated geometry, we have performed a density scan in H-mode for pulses in which the outer strike-point lies in the corner of the divertor. We report here how simulations in the artificial geometry differ from the ones in unaltered geometry. At the exception of low density cases, mid-plane profiles in the closed field lines region and the near scrape-off layer are little impacted. Further out however, in flux-surfaces that are concerned by the geometrical modification, we find that modifying the geometry leads to a strong overestimate of the plasma density. The density perturbation is not local and concerns the whole flux surfaces. Although the divertor geometry is modified only on the outer side, the largest impact is found at the inner divertor where densities are systematically overestimated by a factor that can exceed 10 in low density cases in the far Scrape-Off Layer (SOL) and temperature underestimated by 10 to 20 eV in most of the studied density range. The near SOL and strike point peak values are also impacted in the same direction with density changes by a factor of 2. As a consequence, the threshold to detachment of the inner divertor is found lower in the approximate geometry than in the unaltered one. Due to the large flux expansion between the outer and the inner target, the difference in plasma is especially sensitive at the top of the inner divertor baffle, which could have consequence on the evaluation of physical sputtering at that critical location.

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    Article . 2021
    Data sources: CNR ExploRA
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    Nuclear Materials and Energy
    Other literature type . Article . 2021 . Peer-reviewed
    License: Elsevier TDM
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    Hyper Article en Ligne
    Other literature type . 2021
    DOAJ
    Article . 2021
    Data sources: DOAJ
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    Authors: Zoé Perrin; Nathalie Carrasco; Audrey Chatain; Lora Jovanovic; +3 Authors

    &lt;ul&gt; &lt;li&gt;&lt;strong&gt;Introduction&lt;/strong&gt;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Titan, Saturn's largest moon, has a thick nitrogen-based atmosphere, where during its flyby, the IRIS infrared spectrometer aboard the Voyager 1 spacecraft detected nitriles, such as HCN, formed by EUV photochemistry based on methane CH&lt;sub&gt;4&lt;/sub&gt; and molecular nitrogen N&lt;sub&gt;2&lt;/sub&gt;. Titan is also surrounded by an organic photochemical haze, according to the observations of the Cassini-Huygens and Voyager 1 missions.&lt;/p&gt; &lt;p&gt;In-situ measurements by the Huygens spacecraft [1], and laboratory experiments synthesizing Titan analog aerosols (called tholins), have revealed that HCN is one of the major chemical signatures extracted from the aerosols, and their laboratory analogues.&lt;/p&gt; &lt;p&gt;Laboratory experiments were conducted using a powder plasma reactor mimicking Titan's ionosphere, replicating the formation of Titan-like organic aerosols, and the associated chemistry. In this work, we simultaneously study the temporal evolution of HCN present in the gas phase, and the formation and growth of Titan tholins.&lt;/p&gt; &lt;p&gt;&amp;#160;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;strong&gt;1 - Aerosol production&lt;/strong&gt;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Analogues of Titan aerosols are formed using the experiment PAMPRE [4]. PAMPRE is a reaction chamber, where a cold radiofrequency plasma capacitively coupled is ignited at low pressure (~0.9 mbar). A gas mixture of 95% N&lt;sub&gt;2&lt;/sub&gt; and 5% CH&lt;sub&gt;4&lt;/sub&gt; is introduced into the reactor. Subsequently, a 12W discharge is generated between two electrodes, which ionizes the N&lt;sub&gt;2&lt;/sub&gt; and CH&lt;sub&gt;4&lt;/sub&gt; present.&lt;/p&gt; &lt;p&gt;In this plasma, the radicals and products formed by ionization of methane and nitrogen, will combine by several reaction pathways, to form more complex organic particles and nitriles such as HCN, in the same way as in the ionosphere of Titan.&lt;/p&gt; &lt;p&gt;In this study, the gas flow rate was optimized, to increase the residence time of the gas mixture in the reactor as much as possible. The chemical growth of the solid particles is thus favored, allowing to follow simultaneously the formation and the evolution of the particles, as well as the co-evolution of the gas mixture composition.&lt;/p&gt; &lt;p&gt;&amp;#160;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;strong&gt;2 - Morphology analysis of tholins by scanning electron microscopy&lt;/strong&gt;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;The formed samples were observed by scanning electron microscopy (SEM field emission gun).&lt;/p&gt; &lt;p&gt;&lt;img src=&quot;data:image/png;base64, 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    Authors: Marco Cirelli; Nicolao Fornengo; Bradley J. Kavanagh; Elena Pinetti;

    We also acknowledge the following organizations for support: European Research Council (ERC) under the EU Seventh Framework Programme (Grant No. FP7/2007-2013)/ERC Starting Grant (Agreement No. 278234—“NEWDARK” project); CNRS 80|Prime grant (“DAMEFER” project) (M. C.); Departments of Excellence grant awarded by the Italian Ministry of Education, University and Research (MIUR) (N. F. and E. P.); Research grant of the Università Italo-Francese, under Bando Vinci 2020 (E. P.); Research grant The Dark Universe: A Synergic Multimessenger Approach, Grant No. 2017X7X85K funded by the Italian Ministry of Education, University and Research (MIUR); Research grant The Anisotropic Dark Universe, Grant No. CSTO161409, funded by Compagnia di Sanpaolo and University of Torino; Research grant TASP (Theoretical Astroparticle Physics) funded by Istituto Nazionale di Fisica Nucleare (INFN) (N. F. and E. P.); Spanish Agencia Estatal de Investigación (AEI, MICIU) for the support to the Unidad de Excelencia María de Maeztu Instituto de Física de Cantabria, Ref. No. MDM-2017-0765 (B. J. K.). Light dark matter (DM), defined here as having a mass between 1 MeV and about 1 GeV, is an interesting possibility both theoretically and phenomenologically, at one of the frontiers of current progress in the field of DM searches. Its indirect detection via gamma rays is challenged by the scarcity of experiments in the MeV–GeV region. We look therefore at lower-energy x-ray data from the INTEGRAL telescope, and compare them with the predicted DM flux. We derive bounds which are competitive with existing ones from other techniques. Crucially, we include the contribution from inverse Compton scattering on galactic radiation fields and the cosmic microwave background, which leads to much stronger constraints than in previous studies for DM masses above 20 MeV. Funded by SCOAP3. Peer reviewed

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      Hyper Article en Ligne
      Other literature type . 2021
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      http://link.aps.org/pdf/10.110...
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      UCrea
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      https://doi.org/10.1103/physre...
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      Article . 2021
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      https://doi.org/10.22323/1.395...
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      https://doi.org/10.48550/arxiv...
      Article . 2020
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    Authors: Bessière Eloïse; Jolivet Laurent; Augier Romain; Scaillet Stéphane; +5 Authors

    International audience; The long-term Pressure-Temperature-time-deformation (P-T-t-d) evolution of the internal zones of orogens results from complex interactions between the subducting lithosphere, the overriding plate and the intervening asthenosphere. 2-D numerical models successfully reproduce natural P-T-t-d paths, but most orogens are non-cylindrical and the situation is far more complex due to 3-D pre-orogenic inheritance and 3-D subduction dynamics. The Mediterranean orogens are intrinsically non-cylindrical. Their 3-D geometry results from the complex shape of the Eurasian and African margins before convergence and from the dynamics of slab retreat and tearing leading to strongly arcuate belts. More than many other segments, the Betic-Rif belt is archetypal of this behavior. A synthesis of the tectonometamorphic evolution of the Internal Zones, also based on recent findings by our group in the framework of the Orogen Project (Alboran domain, including the Alpujárride-Sebtide and Nevado-Filábride complexes) shows the relations in space and time between tectonic and P-T evolutions. The reinterpretation of the contact between peridotite massifs and Mesozoic sediments as an extensional detachment leads to a discussion of the geodynamic setting and timing of mantle exhumation. Based on new 40Ar/39Ar ages in the Alpujárride-Sebtide complex and a discussion of published ages in the Nevado-Filábride complex, we conclude that the age of the HP-LT metamorphism is Eocene in all complexes. A first-order observation is the contrast between the well-preserved Eocene HP-LT blueschists-facies rocks of the eastern Alpujárride-Sebtide Complex and the younger HT-LP conditions reaching partial meltingrecorded in the Western Alpujárride. We propose a model where the large longitudinal variations in the P-T evolution are mainly due to (i) differences in the timing of subduction and exhumation, (ii) the nature of the subducting lithosphere and (iii) a major change in subduction dynamics at ~20 Ma associated with a slab-tearing event. The clustering of radiometric ages obtained with different methods around 20 Ma results from a regional exhumation episode coeval with slab tearing, westward migration of the trench, back-arc extension and thrusting of the whole orogen onto the African and Iberian margins.; L’évolution pressure-température-temps-déformation (P-T-t-d) des zones internes des orogènes résulte d’interactions complexes entre la lithosphère subduite, la plaque chevauchante et le manteau asthénosphérique. Les modèles numériques 2-D reproduisent assez bien les chemins P-T-t-d, mais les orogènes sont rarement cylindriques. L’héritage de la géométrie 3-D pré-orogénique et la dynamique 3-D de subduction rendent en effet la situation souvent plus complexe. Les orogènes méditerranéens sont intrinsèquement non-cylindriques parce que la géométrie des marges africaines et eurasiennes avant la collision était également non-cylindrique et parce que les panneaux lithosphériques en subduction ont changé de forme pendant le recul des fosses. Ils sont devenus plus étroits à la suite d’une série déchirures qui ont conduit à la formation d’arcs fortement pincés. L’orogène bético-rifain est emblématique de ce comportement, plus que tout autre segment. Une synthèse de l’évolution tectonométamorphique des zones internes de cet orogène, en partie basée sur des observations récentes faites par notre groupe dans le cadre du programme Orogen, dans le Domaine d’Alboran (incluant les nappes des Alpujárride-Sebtide et des Nevado-Filábride) montre les relations dans l’espace et le temps entre la éformation et l’évolution P-T. Une réinterprétation du contact entre les massifs péridotitiques et les sédiments carbonatés mésozoïques dans la région de Ronda conduit à une discussion sur le calendrier et le mécanisme de l’exhumation du manteau. Nous montrons que l’âge du métamorphisme de subduction est partout éocène en nous appuyant sur de nouveaux âges 40Ar/39Ar dans les Alpujárride-Sebtide et sur une discussion des âges publiés dans les Nevado-Filábride. Une observation de premier ordre est le contraste marqué entre les unités à paragenèses de HP-BT bien préservées des AlpujárrideSebtide orientales et centrales et les unités affectées par un métamorphisme plus jeune de HTLP atteignant les conditions de l’anatexie dans l’ouest des Alpujárride-Sebtide. Nous proposons un modèle où les variations longitudinales de la forme des conditions P-T résultent principalement de (i) différents calendriers de la subduction et de l’exhumation, (ii) la nature de la lithosphère subduite et (iii) un changement majeur de la dynamique de subduction il y a environ 20 Ma, associé à une déchirure du panneau plongeant. Le regroupement des âges radiométriques obtenus par différentes méthodes autour de 20 Ma dans toute la région résulte d’un épisode régional d’exhumation associé à la déchirure du panneau plongeant, la migration de la fosse vers l’ouest, l’extension arrière-arc et le chevauchement de l’ensemble de l’orogène sur les marges africaine et ibérique.

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    DOAJ
    Article . 2021
    Data sources: DOAJ
    https://doi.org/10.5194/egusph...
    Other literature type . 2021
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    Authors: Francesca Zambon; Cristian Carli; Francesca Altieri; Jean-Philippe Combe; +7 Authors

    &lt;p&gt;The spectral analysis of a planetary surface is fundamental for a deeper understanding of the mineralogy and composition. In particular, the determination of spectral units is a reliable method to infer the physical and compositional properties of a surface by processing several spectral parameters simultaneously, instead of the more traditional approach of interpreting each single parameter separately. To define the spectal units, we first compute the most relevant spectral parameters, based on a preliminary detailed analysis of the spectral properties of a surface. This method could be used for different bodies and is described in [1].&lt;/p&gt;&lt;p&gt;For this work, we selected the Apollo Basin area within South Polar Aitken [2,3], the largest and deepest impact basin on the Moon. We analyzed the M&lt;sup&gt;3&lt;/sup&gt;/Chandrayaan-1 data [4] after performing the most up-to-date calibration, thermal removal and photometric correction [5,6]. Lunar spectra are characterized by two strong pyroxenes absorption bands at 1 and 2 &amp;#181;m. In this regard, we decided to define the Apollo Basin spectral units by using the two pyroxenes band depths, the reflectance at 540 nm (standard visible wavelength), and the spectral slope of the 1 &amp;#181;m (see [7]). In Apollo Basin, we found 12 different spectral units. Among these units, the most peculiar is the one linked to the basaltic smooth plains within the floor of the crater. This unit is characterized by low reflectance, deep band depths and a strongly positive spectral slopes (more red surfaces). Subsequently, an analysis of absorption band center at 1 and 2 &amp;#181;m and a comparison with RELAB synthetic pyroxenes [8] revealed a composition compatible with material dominated by strong pyroxene absorptions, e.g. clinopiroxenes, such as pigeonite or augite, with Low Ca and Mg, and relatively high Fe (Fs: 34-75; En: 6-23; Wo: 10-27). The rest of the units show a similar mineralogy to the orthopyroxenes, with intermediate amount of Fe and Mg.&lt;/p&gt;&lt;p&gt;This work allows for a detailed understanding of the mineralogy of Apollo Basin, but also lays the groundwork to search for a link between spectral, and morpho-stratigraphic units [9] to reach out highly informative geological maps of the Moon. This innovative approach is one of the main goals of the H2020 no. 776276-PLANMAP project [10].&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Acknowledgments: &lt;/strong&gt;This work is funded by the European Union&amp;#8217;s Horizon 2020 research grant agreement No 776276- PLANMAP.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;References: &lt;/strong&gt;[1] Zambon et al., 2020 LPSC. [2] Ohtake, M. et al., 2014, GRL. [3] Moriarty, D.P. et al., 2018, JGR. [4] Pieters et al., 2009, Current Science. [5] PLANMAP D4.3- Spectral Indices and RGB maps. [6] Besse, S. et al., 2012, Icarus. [7] PLANMAP D4.3- Spectral Indices and RGB maps. [8] http://planetary.brown.edu/relabdocs/synth_pyx/pyroxenes.html. [9] Ivanov, M.A., 2018, JGR. [10] https://www.planmap.eu/.&lt;/p&gt;

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  • Authors: Athanassios Ganas; Sotiris Valkaniotis; Panagiotis Elias; Varvara Tsironi; +4 Authors

    &lt;p&gt;On December 29, 2020, at 11:19 UTC, a strong (M6.4), shallow earthquake occurred in the central region of Croatia. The epicentre was located near the town of Petrinja, about 40 km to the south of the capital, Zagreb. Here we present a preliminary analysis of the geodetic data (differential InSAR &amp; GNSS) and preliminary estimates of the slip that occurred on the fault during the earthquake and subsequent aftershocks. We picked InSAR data to invert for the seismic fault assuming linear rheology and Okada-type dislocation (rectangular) source with non-uniform slip. The interferograms show an asymmetric, four&amp;#8208;lobed pattern, centered on a NW&amp;#8208;SE oriented discontinuity that is in agreement with the right-lateral plane of the moment tensor solutions for the mainshock. We found that the Petrijna earthquake ruptured a segment of a strike-slip fault zone that is shorter (8 km) than average and with larger slip (~ 3 m). All parameters of the seismic fault are well constrained by InSAR modeling due to the full azimuthal coverage with both ascending and descending data of good quality. The fit to the fringes is better with a steep dip angle (76&amp;#176;) than with a purely vertical fault. The upper edge of the modeled fault is at a depth of ~1 km, this means that the slip drop from 3 to 0 m in the uppermost kilometer and our geodetic analysis cannot assess whether the fault reached the surface in some sections of the fault, however should this be the case, we expect ruptures at the surface in the range of 0.1 to 0 m for consistency with our model and the structure of the fringes pattern. In particular, preliminary modelling results with distributed fault-slip show that the slip reached a peak of more than 2.5 m at a depth of about 2 km. We also found that, differently from what reported in the European database of seismogenic sources (EDSF), the seismic fault dips westward instead of eastward. Additionally, the 2020 rupture and the InSAR mapped trace do not match the EDSF composite seismogenic fault surface trace. Kinematic analysis of GNSS waveforms at station BJEL (about 70-km east of the epicentre) revealed that horizontal ground motion reached 7-cm (peak-to-peak). The InSAR data revealed a 7 km of right-lateral afterslip on the NW-edge of the rupture, and 5 km to the south of the main fault rupture. In particular, the afterslip data on the NW edge of the rupture document the curved shape of the post-seismic deformation, that highlights the non-planarity of faults in nature and possibly indicating the existence of a ramp structure connecting to the neighboring segment towards north.&lt;/p&gt;

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    Authors: Filippo Vingiani; Nicola Durighetto; Marcus Klaus; Jakob Schelker; +2 Authors

    Carbon dioxide (CO2) emissions from running waters represent a key component of the global carbon cycle. However, quantifying CO2 fluxes across air–water boundaries remains challenging due to practical difficulties in the estimation of reach-scale standardized gas exchange velocities (k600) and water equilibrium concentrations. Whereas craft-made floating chambers supplied by internal CO2 sensors represent a promising technique to estimate CO2 fluxes from rivers, the existing literature lacks rigorous comparisons among differently designed chambers and deployment techniques. Moreover, as of now the uncertainty of k600 estimates from chamber data has not been evaluated. Here, these issues were addressed by analysing the results of a flume experiment carried out in the Summer of 2019 in the Lunzer:::Rinnen – Experimental Facility (Austria). During the experiment, 100 runs were performed using two different chamber designs (namely, a standard chamber and a flexible foil chamber with an external floating system and a flexible sealing) and two different deployment modes (drifting and anchored). The runs were performed using various combinations of discharge and channel slope, leading to variable turbulent kinetic energy dissipation rates (1.5×10-3<ε<1×10-1 m2 s−3). Estimates of gas exchange velocities were in line with the existing literature (4<k600<32 m2 s−3), with a general increase in k600 for larger turbulent kinetic energy dissipation rates. The flexible foil chamber gave consistent k600 patterns in response to changes in the slope and/or the flow rate. Moreover, acoustic Doppler velocimeter measurements indicated a limited increase in the turbulence induced by the flexible foil chamber on the flow field (22 % increase in ε, leading to a theoretical 5 % increase in k600). The uncertainty in the estimate of gas exchange velocities was then estimated using a generalized likelihood uncertainty estimation (GLUE) procedure. Overall, uncertainty in k600 was moderate to high, with enhanced uncertainty in high-energy set-ups. For the anchored mode, the standard deviations of k600 were between 1.6 and 8.2 m d−1, whereas significantly higher values were obtained in drifting mode. Interestingly, for the standard chamber the uncertainty was larger (+ 20 %) as compared to the flexible foil chamber. Our study suggests that a flexible foil design and the anchored deployment might be useful techniques to enhance the robustness and the accuracy of CO2 measurements in low-order streams. Furthermore, the study demonstrates the value of analytical and numerical tools in the identification of accurate estimations for gas exchange velocities. These findings have important implications for improving estimates of greenhouse gas emissions and reaeration rates in running waters.

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    Biogeosciences (BG)
    Other literature type . 2021
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    Biogeosciences (BG)
    Other literature type . 2020
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    Conference object . 2020
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    https://doi.org/10.5194/egusph...
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