New insights on Mt. Etna's crust and relationship with the regional tectonic framework from joint active and passive P-wave seismic tomography
Abstract In the Central Mediterranean region, the production of chemically diverse volcanic
products (eg, those from Mt. Etna and the Aeolian Islands archipelago) testifies to the …
products (eg, those from Mt. Etna and the Aeolian Islands archipelago) testifies to the …
Identifying P phase arrival of weak events: The Akaike Information Criterion picking application based on the Empirical Mode Decomposition
Seismic P phase arrival picking of weak events is a difficult problem in seismology. The
algorithm proposed in this research is based on Empirical Mode Decomposition (EMD) and …
algorithm proposed in this research is based on Empirical Mode Decomposition (EMD) and …
Enhancing micro-seismic P-phase arrival picking: EMD-cosine function-based denoising with an application to the AIC picker
Micro-seismic P-phase arrival picking is an elementary step into seismic event location,
source mechanism analysis, and seismic tomography. However, a micro-seismic signal is …
source mechanism analysis, and seismic tomography. However, a micro-seismic signal is …
Comparison of deep learning techniques for the investigation of a seismic sequence: An application to the 2019, Mw 4.5 Mugello (Italy) earthquake
The increase of available seismic data prompts the need for automatic processing
procedures to fully exploit them. A good example is aftershock sequences recorded by …
procedures to fully exploit them. A good example is aftershock sequences recorded by …
Advanced signal recognition methods applied to seismo-volcanic events from Planchon Peteroa Volcanic Complex: Deep Neural Network classifier
Advanced techniques in the recognition and classification of seismo-volcanic events are
transcendental when studying active volcanoes, not only for their importance as an accurate …
transcendental when studying active volcanoes, not only for their importance as an accurate …
Shallow magma storage beneath Mt. Etna: Evidence from new attenuation tomography and existing velocity models
We present a new three‐dimensional (3D) image of attenuation beneath Mt. Etna volcano
based on the coda normalization method. Mt. Etna is an ideal natural laboratory for the …
based on the coda normalization method. Mt. Etna is an ideal natural laboratory for the …
TOMO-ETNA experiment at Etna volcano: activities on land
In the present paper we describe the on-land field operations integrated in the TOMO-ETNA
experiment carried out in June-November 2014 at Mt. Etna volcano and surrounding areas …
experiment carried out in June-November 2014 at Mt. Etna volcano and surrounding areas …
An improved p-phase arrival picking method S/LKA with an application to the Yongshaba mine in China
Automatic microseismic P-phase arrival picking is paramount for microseismic event
identification, event location and source mechanism analysis. The commonly used STA/LTA …
identification, event location and source mechanism analysis. The commonly used STA/LTA …
[HTML][HTML] CRPN: A cascaded classification and regression DNN framework for seismic phase picking
Z Yu, R Chu, W Wang, M Sheng - Earthquake Science, 2020 - Elsevier
Current deep neural networks (DNN) used for seismic phase picking are becoming more
complex, which consumes much computing time without significant accuracy improvement …
complex, which consumes much computing time without significant accuracy improvement …
The TOMO-ETNA experiment: an imaging active campaign at Mt. Etna volcano. Context, main objectives, working-plans and involved research projects
The TOMO-ETNA experiment was devised to image of the crust underlying the volcanic
edifice and, possibly, its plumbing system by using passive and active refraction/reflection …
edifice and, possibly, its plumbing system by using passive and active refraction/reflection …