Member Since 2020
Adolfo Inza
Scientific Researcher, Geophysical Institute of Peru
AGU Research
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VOLCANO MONITORING: Hazard assessment methodology based on probabilistic analysis of Ubinas volcano eruption 2006 - 2009
SEISMIC AND ACOUSTIC SIGNALS OF VOLCANIC UNREST AND ERUPTION: FROM SOURCE CHARACTERIZATION TO MONITORING APPLICATIONS II POSTER
volcanology, geochemistry and petrology | 11 december 2023
Adolfo Inza, Pablo Lara, Nobar Baella
Volcano hazard assessment is always followed by seismic monitoring, since seismicity is one of the main variables to be taken into account to determin...
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Earthquake Early Warning Starting From 3 s of Records on a Single Station With Machine Learning
JOURNAL OF GEOPHYSICAL RESEARCH: SOLID EARTH
02 november 2023
Pablo Lara, Quentin Bletery, Jean P. Ampuero, Adol...

We introduce the Ensemble Earthquake Early Warning System (E3WS), a set of Machine Learning (ML) algorithms designed to detect, locate, and estimat...

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Earthquake Early Warning with 3 seconds of records on a single station
MACHINE-LEARNING-BASED EARTHQUAKE MONITORING AND SEISMIC ANALYSIS V ORAL
seismology | 16 december 2022
Pablo Lara, Quentin Bletery, Jean P. Ampuero, Adol...
We introduce the Ensemble Earthquake Early Warning System (E-EEWS), an algorithm we designed to detect, locate and estimate the magnitude of an earthq...
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Efficient P-wave detection in real time for Earthquake Early Warning System based on Artificial Intelligence
EXTRACTING INFORMATION FROM GEOPHYSICAL SIGNALS WITH MACHINE LEARNING IV POSTERS
seismology | 15 december 2020
ablo Lara, Adolfo Inza, Hernando Tavera, Carlos A...
Real-time earthquake detection is the highest priority for Earthquake Early Warning System (EEWS) effectiveness, in order to benefit society and mitig...
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Sismo - volcano classification in real time based on Empirical Mode Decomposition (EMD) and Machine Learning
VOLCANIC HAZARDS: FROM MONITORING TO IMPACTS I
volcanology, geochemistry and petrology | 11 december 2020
Adolfo Inza, Pablo Lara, Carlos Alexandre Rolim F...
This research proposes the design of an automatic classifier using the empirical mode decomposition (EMD) along with machine learning techniques for i...
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Automatic Classification of Volcano Seismic Signatures
JOURNAL OF GEOPHYSICAL RESEARCH: SOLID EARTH
04 december 2018
Marielle Malfante, Mauro Mura, Jerome Mars, Jean-P...

The prediction of volcanic eruptions and the evaluation of associated risks remain a timely and unresolved issue. This paper presents a method to a...

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Short term forecasting of explosions at Ubinas volcano, Perú
JOURNAL OF GEOPHYSICAL RESEARCH: SOLID EARTH
01 november 2011
Paola Traversa, Olivier Lengliné, Orlando Macedo, ...

Most seismic eruption forerunners are described using Volcano-Tectonic earthquakes, seismic energy release, deformation rates or seismi...

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