Détail de l'autorité
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AGU 2022, Fall meeting, American Geophysical Union Fall Meeting 12/12/2022 16/12/2022 Chicago Illinois - Etats-Unis
nom du congrès :
AGU 2022, Fall meeting, American Geophysical Union Fall Meeting
début du congrès :
12/12/2022
fin du congrès :
16/12/2022
ville du congrès :
Chicago
pays du congrès :
Illinois - Etats-Unis
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Documents disponibles (2)
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Titre : ITRF2020 station position kinematic model Type de document : Article/Communication Auteurs : Zuheir Altamimi , Auteur ; Paul Rebischung
Editeur : Washington DC [Maryland - Etats-Unis] : American Geophysical Union AGU Année de publication : 2022 Conférence : AGU 2022, Fall meeting, American Geophysical Union Fall Meeting 12/12/2022 16/12/2022 Chicago Illinois - Etats-Unis Importance : n° G12A-05 Langues : Anglais (eng) Résumé : (auteur) To adequately describe the shape of the deforming Earth’s surface, the ITRF2020 is provided as an augmented reference frame where the temporal station positions are modeled by a piece-wise linear part, and parametric functions describing annual and semi-annual displacements, as well as Post-Seismic Deformation (PSD) for stations subject to major earthquakes. The paper outlines the ITRF2020 analysis strategy and combination model that integrate time series of station positions and Earth Orientation Parameters provided by the IAG technique services of the four space geodetic techniques (DORIS, GNSS, SLR, VLBI). After recalling and discussing the main ITRF2020 features, we deliver some recommendations on how to consistently use the ITRF2020 station position kinematic model that includes the PSD parametric functions, the station seasonal signals expressed in either the Earth Center of Mass (CM) or the Center of Figure (CF) frames, the corresponding geocenter motion, that is the motion of the Center of Mass with respect to the Center of Figure of the solid Earth’s surface. Numéro de notice : C2022-051 Affiliation des auteurs : UMR IPGP-Géod+Ext (2020- ) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1055248 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103159 Monitoring and modeling of the Sacramento Valley aquifer (California) using geodetic and piezometric measurements / Stacy Larochelle (2022)
Titre : Monitoring and modeling of the Sacramento Valley aquifer (California) using geodetic and piezometric measurements Type de document : Article/Communication Auteurs : Stacy Larochelle, Auteur ; Kristel Chanard Editeur : Washington DC [Maryland - Etats-Unis] : American Geophysical Union AGU Année de publication : 2022 Conférence : AGU 2022, Fall meeting, American Geophysical Union Fall Meeting 12/12/2022 16/12/2022 Chicago Illinois - Etats-Unis Importance : n° NS23A-06 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] aquifère
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] données GNSS
[Termes IGN] hydrogéologie
[Termes IGN] surveillance hydrologiqueRésumé : (auteur) Changes in groundwater levels associated with hydroclimatic variations and anthropogenic water extraction can deform the solid Earth, both elastically and inelastically. Satellite-based geodetic techniques which measure the Earth’s surface displacements can thus be used to track changing conditions in aquifer systems. However, accurately extracting groundwater-induced deformation signals still poses a challenge as geodetic techniques like GNSS and InSAR also record noise, systematic errors and other sources of deformation. In this study, we take advantage of the relatively dense in situ groundwater monitoring network of the Sacramento Valley aquifer in California to constrain its deformation and hydromechanical properties. We start by characterizing the main seasonal and multiannual fluctuations in groundwater levels with an Independent Component Analysis (ICA) and exploit the resulting temporal signature to extract the associated deformation field from GNSS and InSAR time series. We then develop a poroelastic model of the aquifer to invert for its elastic storage capacity and estimate the respective contributions of elastic and inelastic processes to long-term subsidence. Our modeling also suggests that depth-dependent elastic properties are necessary to explain the spatial distribution of horizontal poroelastic displacements measured by GNSS. This work has important implications for the sustainable management of heavily-stressed Californian aquifers but also serves as a calibration between in situ and remote sensing techniques, which is essential for the successful deployment of satellite-based groundwater monitoring in areas with sparse field-based instrumentation. Numéro de notice : C2022-053 Affiliation des auteurs : UMR IPGP-Géod+Ext (2020- ) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1093662 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103158
