#seismicmonitoring — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #seismicmonitoring, aggregated by home.social.
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SEISMIC ALERT — This morning at 8:16 AM eastern, a magnitude 6.7 earthquake struck the northern Mid-Atlantic Ridge, approximately 1,900 miles from Westport Observatory. Our USGS monitoring equipment detected the significant temblor in real time. There is no danger of a tsunami from this event. https://was-ct.org/science/seismometer/
#Earthquake #Seismology #MidAtlanticRidge #USGS #SeismicActivity #EarthquakeAlert #NoTsunami #WestportObservatory #Geology #SeismicMonitoring
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Positive results encourage continuation of Haute-Sorne geothermal project, Switzerland https://www.byteseu.com/1418222/ #ETHZurich #GeoEnergieJura #geothermal #geothermie #HauteSorne #jura #permeability #reservoir #SeismicMonitoring #stimulation #SwissSeismologicalService #Switzerland
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Excited to introduce RockSigma, a key @COP_PILOT_Horizon partner!
They provide seismic processing software to help mines improve safety and production. In COP-PILOT, they contribute to micro seismic monitoring by integrating new sensors and deploying their software on edge and cloud platforms. This work is crucial for safer mining operations.
🔗 https://cop-pilot.eu/consortium#sweden
#COPPILOT #MeetTheConsortium #ROCKSIGMA #MiningSafety #SeismicMonitoring #EdgeComputing #HorizonEurope
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Aguilar Suarez & Beroza present a dataset of 1.6 million waveforms, to be used for machine-learning models in regional seismic event monitoring.
Read more and get the dataset: https://seismica.library.mcgill.ca/article/view/1049
#Seismology #EarthquakeScience #machinelearning #waveforms #seismicmonitoring #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience
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Aguilar Suarez & Beroza present a dataset of 1.6 million waveforms, to be used for machine-learning models in regional seismic event monitoring.
Read more and get the dataset: https://seismica.library.mcgill.ca/article/view/1049
#Seismology #EarthquakeScience #machinelearning #waveforms #seismicmonitoring #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience
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Aguilar Suarez & Beroza present a dataset of 1.6 million waveforms, to be used for machine-learning models in regional seismic event monitoring.
Read more and get the dataset: https://seismica.library.mcgill.ca/article/view/1049
#Seismology #EarthquakeScience #machinelearning #waveforms #seismicmonitoring #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience
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Aguilar Suarez & Beroza present a dataset of 1.6 million waveforms, to be used for machine-learning models in regional seismic event monitoring.
Read more and get the dataset: https://seismica.library.mcgill.ca/article/view/1049
#Seismology #EarthquakeScience #machinelearning #waveforms #seismicmonitoring #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience
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Aguilar Suarez & Beroza present a dataset of 1.6 million waveforms, to be used for machine-learning models in regional seismic event monitoring.
Read more and get the dataset: https://seismica.library.mcgill.ca/article/view/1049
#Seismology #EarthquakeScience #machinelearning #waveforms #seismicmonitoring #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience
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How to best design and improve a microseism monitoring network in an urban environment?
Through an optimization program, Keil et al. find the optimal number and distribution of seismic stations for an urban area with heterogeneous noise conditions:
https://seismica.library.mcgill.ca/article/view/1030
#Seismology #EarthquakeScience #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience #Munich #optimization #seismicmonitoring #seismicnetwork