Continuing Detection and Location Using Continuous Long Period Data Recorded at Global Seismic Networks
Description:
Earthquakes detections and location is routinely performed by picking body wave phases, their association and location of the source. This process is performed on relatively high frequency data and mostly rely on P and S waves. Since the 90s is however clear that long period (>20s) seismic waves are radiated by several geophysical processes, as landslides, rapid ice movements, volcanic eruptions and also some earthquakes. However, the detection of these events with classical seismological approaches is not trivial.
We here apply a method to detect and locate source of long period (30-100s) surface waves generate at the free surface of the Earth. This method employs continuously recorded seismological signal at global seismic networks, by long and very long period instruments. By applying our method to ~13 years of data we detected and located 33429 events, including ~1500 previously undetected events. These new events track environmental and volcanic processes occurring in remote places of our planet (e.g., Antarctica, deep oceans).
We will first present the method, its advantages and caveats. We will then discuss the results obtained by analyzing data from the year 2010 to the beginning of 2023. We will particularly focus on new sources, as the large number of new detections in the western antarctica, or the significant increase of new long period events we resolved offshore of eastern United States.
Our catalog of new detected events, is here presented as the base for future studies, aimed at quantify the physical processes generating the long period signals we record.
Session: Advancing Science With Global Seismological and Geophysical Networks
Type: Oral
Date: 4/18/2023
Presentation Time: 04:30 PM (local time)
Presenting Author: Piero Poli
Student Presenter: No
Invited Presentation:
Authors
Piero Poli Presenting Author Corresponding Author piero.poli@unipd.it Università di Padova |
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Continuing Detection and Location Using Continuous Long Period Data Recorded at Global Seismic Networks
Category
Advancing Science With Global Seismological and Geophysical Networks