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Current challenges in monitoring, discrimination, and management of induced seismicity related to underground industrial activities: A European perspective
Due to the deep socioeconomic implications, induced seismicity is a timely and increasingly
relevant topic of interest for the general public. Cases of induced seismicity have a global …
relevant topic of interest for the general public. Cases of induced seismicity have a global …
Classification of earthquakes, explosions and mining-induced earthquakes based on XGBoost algorithm
T Wang, Y Bian, Y Zhang, X Hou - Computers & Geosciences, 2023 - Elsevier
The classification of low-magnitude tectonic earthquakes, explosions and mining-induced
earthquakes is an important task in regional earthquake monitoring. Seismic events …
earthquakes is an important task in regional earthquake monitoring. Seismic events …
Deep learning models augment analyst decisions for event discrimination
Long‐term seismic monitoring networks are well positioned to leverage advances in
machine learning because of the abundance of labeled training data that curated event …
machine learning because of the abundance of labeled training data that curated event …
Using artificial intelligence methods to classify different seismic events
T Wang, Y Bian, Y Zhang… - … Society of America, 2023 - pubs.geoscienceworld.org
The classification of seismic events is crucial for monitoring underground nuclear explosions
and regional unnatural seismic events. To classify tectonic earthquakes, explosions, and …
and regional unnatural seismic events. To classify tectonic earthquakes, explosions, and …
Investigating the effectiveness of P/S amplitude ratios for local distance event discrimination
The ability to discriminate between underground explosions and earthquakes is an
important operation for global security and test‐ban‐treaty monitoring, and seismology plays …
important operation for global security and test‐ban‐treaty monitoring, and seismology plays …
Classification of local seismic events in the Utah region: A comparison of amplitude ratio methods with a spectrogram‐based machine learning approach
The capability to discriminate low‐magnitude earthquakes from low‐yield anthropogenic
sources, both detectable only at local distances, is of increasing interest to the event …
sources, both detectable only at local distances, is of increasing interest to the event …
A Big Problem for Small Earthquakes: Benchmarking Routine Magnitudes and Conversion Relationships with Coda Envelope‐Derived in Southern Kansas and …
Earthquake magnitudes are widely relied upon measures of earthquake size. Although
moment magnitude (M w) has become the established standard for moderate and large …
moment magnitude (M w) has become the established standard for moderate and large …
New CNN-based tool to discriminate anthropogenic from natural low magnitude seismic events
With the deployment of high quality and dense permanent seismic networks over the last 15
yr comes a dramatic increase of data to process. In order to lower the threshold value of …
yr comes a dramatic increase of data to process. In order to lower the threshold value of …
Toward false event detection and quarry blast versus earthquake discrimination in an operational setting using semiautomated machine learning
Small‐magnitude earthquakes shed light on the spatial and magnitude distribution of natural
seismicity, as well as its rate and occurrence, especially in stable continental regions where …
seismicity, as well as its rate and occurrence, especially in stable continental regions where …
Discrimination of earthquakes, explosions, and collapses based on the deep learning: Applications to DiTing 2.0 dataset
The discrimination of natural and unnatural seismic events is an important part of
earthquake monitoring and early warning. Deep learning algorithms, with their powerful …
earthquake monitoring and early warning. Deep learning algorithms, with their powerful …