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Bayesian-deep-learning estimation of earthquake location from single-station observations / S. Mostafa Mousavi in IEEE Transactions on geoscience and remote sensing, vol 58 n° 11 (November 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 11 (November 2020) . - pp 8211 - 8224 Titre : Bayesian-deep-learning estimation of earthquake location from single-station observations Type de document : Article/Communication Auteurs : S. Mostafa Mousavi, Auteur ; Gregory C. Beroza, Auteur Année de publication : 2020 Article en page(s) : pp 8211 - 8224 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal [Termes IGN] apprentissage profond [Termes IGN] classification bayesienne [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] détection du signal [Termes IGN] épicentre [Termes IGN] estimation bayesienne [Termes IGN] onde sismique [Termes IGN] régression [Termes IGN] séisme [Termes IGN] station d'observation [Termes IGN] surveillance géologique [Termes IGN] temps de propagation Résumé : (auteur) We present a deep-learning method for a single-station earthquake location, which we approach as a regression problem using two separate Bayesian neural networks. We use a multitask temporal convolutional neural network to learn epicentral distance and P travel time from 1-min seismograms. The network estimates epicentral distance and P travel time with mean errors of 0.23 km and 0.03 s and standard deviations of 5.42 km and 0.66 s, respectively, along with their epistemic and aleatory uncertainties. We design a separate multi-input network using standard convolutional layers to estimate the back-azimuth angle and its epistemic uncertainty. This network estimates the direction from which seismic waves arrive at the station with a mean error of 1°. Using this information, we estimate the epicenter, origin time, and depth along with their confidence intervals. We use a global data set of earthquake signals recorded within 1° (~112 km) from the event to build the model and demonstrate its performance. Our model can predict epicenter, origin time, and depth with mean errors of 7.3 km, 0.4 s, and 6.7 km, respectively, at different locations around the world. Our approach can be used for fast earthquake source characterization with a limited number of observations and also for estimating the location of earthquakes that are sparsely recorded—either because they are small or because stations are widely separated. Numéro de notice : A2020-684 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.2988770 Date de publication en ligne : 06/05/2020 En ligne : https://doi.org/10.1109/TGRS.2020.2988770 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96209 [article]

The cause of the 2011 Hawthorne (Nevada) earthquake swarm constrained by seismic and InSAR methods / Xianjie Zha in Journal of geodesy, vol 93 n°6 (June 2019)  

Public [article]  inJournal of geodesy > vol 93 n°6 (June 2019) . - pp 899 - 909 Titre : The cause of the 2011 Hawthorne (Nevada) earthquake swarm constrained by seismic and InSAR methods Type de document : Article/Communication Auteurs : Xianjie Zha, Auteur ; Zhe Jia, Auteur ; Zhiyang Dai, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 899 - 909 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] déformation de la croute terrestre [Termes IGN] données polarimétriques [Termes IGN] épicentre [Termes IGN] image radar moirée [Termes IGN] modèle de déformation tectonique [Termes IGN] Nevada (Etats-Unis) [Termes IGN] onde sismique [Termes IGN] problème inverse [Termes IGN] séisme Résumé : (auteur) We used both seismic and InSAR data to investigate the mechanism behind the 2011 Hawthorne (Nevada) earthquake swarm that occurred between March 15 and August 17, 2011. Regional seismic data were used to estimate the centroid depth and focal mechanism for nine earthquakes that occurred in this swarm, with magnitudes between Mw3.9 and Mw4.8. The inferred focal mechanisms indicate that the source of these earthquakes is normal faulting with a small left-lateral strike-slip component along the southwest direction. Three InSAR displacement maps covering the epicentral zone of the 2011 Hawthorne earthquakes were inverted to get a slip model. The slip distribution shows that the deformation source is characterized by normal faulting, consistent with our inferred focal mechanisms. Our results suggest that the seismogenic zone was in the tensile stress environment. The temporal and spatial evolutions of seismicity suggest that the 2011 Hawthorne swarm might be caused by aseismic slip. Therefore, the 2011 Hawthorne earthquake swarm may have been the result of aseismic slip under the regional tectonic stress, and had nothing to do with volcanic activity. However, the quantitative evidence for aseismic slip is limited to the indication that the geodetic moment is 15% greater than the seismic moment, which is near the level of uncertainty. Numéro de notice : A2019-353 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-018-1212-5 Date de publication en ligne : 02/11/2018 En ligne : https://doi.org/10.1007/s00190-018-1212-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93401 [article]

#Earthquake: Twitter as a distributed sensor system / Andrew Crooks in Transactions in GIS, vol 17 n° 1 (February 2013)  

Public [article]  inTransactions in GIS > vol 17 n° 1 (February 2013) . - pp 124 - 147 Titre : #Earthquake: Twitter as a distributed sensor system Type de document : Article/Communication Auteurs : Andrew Crooks, Auteur ; Arie Croitoru, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 124 - 147 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] acquisition de données [Termes IGN] capteur non-imageur [Termes IGN] contenu généré par les utilisateurs [Termes IGN] diffusion de l'information [Termes IGN] épicentre [Termes IGN] Etats-Unis [Termes IGN] production participative [Termes IGN] séisme [Termes IGN] surveillance géologique [Termes IGN] Twitter Résumé : (Auteur) Social media feeds are rapidly emerging as a novel avenue for the contribution and dissemination of information that is often geographic. Their content often includes references to events occurring at, or affecting specific locations. Within this article, we analyze the spatial and temporal characteristics of the twitter feed activity responding to a 5.8 magnitude earthquake which occurred on the East Coast of the United States (US) on August 23, 2011. We argue that these feeds represent a hybrid form of a sensor system that allows for the identification and localization of the impact area of the event. By contrasting this with comparable content collected through the dedicated crowdsourcing ‘Did You Feel It?’ (DYFI) website of the U.S. Geological Survey we assess the potential of the use of harvested social media content for event monitoring. The experiments support the notion that people act as sensors to give us comparable results in a timely manner, and can complement other sources of data to enhance our situational awareness and improve our understanding and response to such events. Numéro de notice : A2013-044 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01359.x Date de publication en ligne : 09/10/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01359.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32182 [article]

Generation and study of satellite gravity over Gujarat, India and their possible correlation with earthquake occurences / T. Majumba in Geocarto international, vol 25 n° 4 (July 2010)  

Public [article]  inGeocarto international > vol 25 n° 4 (July 2010) . - pp 269 - 280 Titre : Generation and study of satellite gravity over Gujarat, India and their possible correlation with earthquake occurences Type de document : Article/Communication Auteurs : T. Majumba, Auteur ; R. Bhattacharyya, Auteur Année de publication : 2010 Article en page(s) : pp 269 - 280 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique [Termes IGN] anomalie de pesanteur [Termes IGN] champ de pesanteur local [Termes IGN] corrélation [Termes IGN] données GRACE [Termes IGN] épicentre [Termes IGN] Inde [Termes IGN] levé gravimétrique [Termes IGN] risque naturel [Termes IGN] séisme Résumé : (Auteur) High-resolution satellite gravity data have been generated and utilized to infer subsurface geological structures in the area of devastating earthquake that struck the Bhuj region in Gujarat on 26 January 2001. Latitudinal gravity profiles have been generated in the Bhuj, Anjar and IBF regions across the epicentres (23.5° N, 69.8° E/Mw 7.0 in 2001; 23.2° N, 70° E/Mw 7.0 in 1956; 24.2° N, 69.2° E/Mw 7.8 in 1819). Substantial differences in gravity anomaly patterns as high as 37 mGal could be observed existing near the epicentre regions. These gravitational differences might have caused due to the plate tectonic processes and due to the changes in densities of different lithospheric zones/sedimentary layers. Temporal variations of the satellite-derived gravity and their probable relations with already occurred major earthquakes in this region have been studied. Hence we conclude that drastic changes in gravity anomalies can be considered as a precursor for occurrences of substantially large earthquakes. Numéro de notice : A2010-278 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040903486148 Date de publication en ligne : 09/04/2010 En ligne : https://doi.org/10.1080/10106040903486148 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30472 [article]

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Generation of study of high-resolution satellite gravity over the Sumatra earthquake region / Samprit Chatterjee in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 28 n° 13-14 (July 2007) . - pp 2915 - 2925 Titre : Generation of study of high-resolution satellite gravity over the Sumatra earthquake region Type de document : Article/Communication Auteurs : Samprit Chatterjee, Auteur ; R. Bhattacharyya, Auteur ; T.J. Majumdar, Auteur Année de publication : 2007 Article en page(s) : pp 2915 - 2925 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] anomalie de pesanteur [Termes IGN] carte gravimétrique [Termes IGN] déformation de la croute terrestre [Termes IGN] données altimétriques [Termes IGN] épicentre [Termes IGN] gravimétrie spatiale [Termes IGN] prévention des risques [Termes IGN] risque naturel [Termes IGN] séisme [Termes IGN] Sumatra [Termes IGN] tectonique des plaques Résumé : (Auteur) We have utilized satellite altimetry data to generate the very high-resolution gravity anomaly maps to infer subsurface geological structures in the area of the devastating earthquake (and the corresponding tsunami) that struck the Indian Ocean near Sumatra (Indonesia) on 26 December 2004. In the present study, a high-resolution three-dimensional (3D) gravity image has been generated over a part of the eastern Indian offshore encompassing the Sumatran earthquake region apart from Ninety East Ridge, Andaman subduction zone, etc. Four latitudinal (2°, 3°, 4° and 8.6° N) gravity profiles have been generated across the epicentre (3° N/M w 9.0)/aftershock regions (4° N/M w 5.8 and 8.6° N/M w 6.0 and 6.6). A drastic change of gravity anomaly patterns (sim130 mGal) near the epicentre and the aftershock regions could be observed, which are however slowly diminishing further away from the epicentre. This gravitational difference might have been caused by the differences in plate tectonic processes. Minor/major gravitational differences in other areas may be due to the changes in densities of different lithospheric zones/sedimentary layers. Hence, our study further supports the idea that negative gravity and topography anomalies can be used as a predictor for occurrences of large earthquakes in subduction zones. Copyright Taylor & Francis Numéro de notice : A2007-336 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160601091829 En ligne : https://doi.org/10.1080/01431160601091829 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28699 [article]

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080-07081	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The 26 December 2004 tsunami measured by satellite altimetry / J. Gower in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)  

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Le tremblement de terre / E. Rothe (1932)

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La géologie sismologique / F. Montessus De Ballore (1924)

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