Machine learning for volcano-seismic signals: Challenges and perspectives
Environmental monitoring is a topic of increasing interest, especially concerning the matter
of natural hazards prediction. Regarding volcanic unrest, effective methodologies along with …
of natural hazards prediction. Regarding volcanic unrest, effective methodologies along with …
Automatic classification of volcano seismic signatures
The prediction of volcanic eruptions and the evaluation of associated risks remain a timely
and unresolved issue. This paper presents a method to automatically classify seismic events …
and unresolved issue. This paper presents a method to automatically classify seismic events …
A review on volcanic gas compositions related to volcanic activities and non-volcanological effects
Volcanic gases have been monitored to predict eruptions since their compositions are
strongly affected by volcanic activities. Here, volcanic gas geochemistry is reviewed with the …
strongly affected by volcanic activities. Here, volcanic gas geochemistry is reviewed with the …
The 2019 eruption dynamics and morphology at Ebeko volcano monitored by unoccupied aircraft systems (UAS) and field stations
Vulcanian explosions are hazardous and are often spontaneous and direct observations are
therefore challenging. Ebeko is an active volcano on Paramushir Island, northern Kuril …
therefore challenging. Ebeko is an active volcano on Paramushir Island, northern Kuril …
Automatic multichannel volcano-seismic classification using machine learning and EMD
This article proposes the design of an automatic classifier using the empirical mode
decomposition (EMD) along with machine learning techniques for identifying the five most …
decomposition (EMD) along with machine learning techniques for identifying the five most …
Array analysis of seismo-volcanic activity with distributed acoustic sensing
Continuous seismic monitoring of volcanoes is challenging due to harsh environments and
associated hazards. However, the investigation of volcanic phenomena is essential for …
associated hazards. However, the investigation of volcanic phenomena is essential for …
Detection of pre-eruptive seismic velocity variations at an andesitic volcano using ambient noise correlation on 3-component stations: Ubinas volcano, Peru, 2014
Volcano monitoring and eruption forecasting are based on the observation and joined
interpretation of several precursory phenomena. It is thus important to detect new types of …
interpretation of several precursory phenomena. It is thus important to detect new types of …
Volcanic tremor tracks changes in multi‐vent activity at Mt. Etna, Italy: Evidence from analyses of seismic array data
L Zuccarello, S De Angelis, V Minio… - Geophysical …, 2022 - Wiley Online Library
The mild degassing and effusion that characterizes open‐vent volcanoes can be interrupted
by episodes of sustained explosive activity known as paroxysms. Here, we present …
by episodes of sustained explosive activity known as paroxysms. Here, we present …
Monitoring of active volcanoes in Peru by the Instituto Geofísico del Perú: Early warning systems, communication, and information dissemination
RM Puma, JADC Calienes, MAR Porras… - Volcanica, 2021 - jvolcanica.org
Volcano monitoring in Peru is carried out by the Instituto Geofísico del Perú (IGP), through its
Centro Vulcanológico Nacional (CENVUL). CENVUL monitors 12 out of 16 volcanoes …
Centro Vulcanológico Nacional (CENVUL). CENVUL monitors 12 out of 16 volcanoes …
Vulcanian eruption processes inferred from volcanic glow analysis at Sakurajima volcano, Japan
Volcanic glow, which is often observed at active craters during nighttime, contains
information on high-temperature zones deep in the crater that are hidden from view. We …
information on high-temperature zones deep in the crater that are hidden from view. We …