Deployment of a Dense Seismic Network on La Palma Island (2023-2024) for High-Resolution Imaging of the Velocity Structure Using Passive Seismic Methods

Abstract We present the IMAGMASEIS project, a large-N seismic experiment carried out on La Palma (Canary Islands, Spain) between 2023 and 2024, aimed at high-resolution imaging of the crustal and upper mantle structure using passive seismic methods. The project involved the deployment of 235 temporary broadband and short-period seismic stations, supplementing 21 permanent stations, thus creating the densest seismic network ever installed on the island. The main goal is to characterise the magmatic plumbing system beneath Cumbre Vieja volcano, identify magma accumulation zones, and investigate structural changes related to the 2021 Tajogaite eruption. We describe the experimental design, network configuration, instrumentation, deployment strategies, and challenges encountered, including difficult terrain and logistical constraints. Preliminary results demonstrate the potential of the dataset for ambient noise tomography, receiver function analysis, and local earthquake studies. IMAGMASEIS provides a valuable resource for understanding volcanic and tectonic processes in oceanic island settings and serves as a model for cost-effective, high-density seismic deployments in similar environments.

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Publication Details

Journal
Surveys in Geophysics
Published
2026-02-01
DOI
https://doi.org/10.1007/s10712-026-09933-y
Primary Topic
Seismic Waves and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Deployment of a Dense Seismic Network on La Palma Island (2023-2024) for High-Resolution Imaging of the Velocity Structure Using Passive Seismic Methods

Pablo Rey‐Devesa, Janire Prudencio, José Benito Martín, Gerardo Alguacil et al.
Surveys in Geophysics
Seismic Waves and Analysis
article

Deployment of a Dense Seismic Network on La Palma Island (2023-2024) for High-Resolution Imaging of the Velocity Structure Using Passive Seismic Methods

Pablo Rey‐Devesa, Janire Prudencio, José Benito Martín, Gerardo Alguacil, Rafael Serra Abellà, Iván Melchor, Joan Antoni Parera-Portell, Enrique Carmona, Miguel Ángel Dengra, Inmaculada Serrano, Javier Tortosa, David Carrero, Xiaohui Yuan, Antonio Martos, José Morales, Javier Moreno, Javier Almendros, Cinthia Guerrero-Reinoso, Guillermo Cortés, Carlos Araque-Pérez, Benjamin Heit, Alfonso Ontiveros-Ortega, Mercedes Feriche
article en

Abstract

Abstract We present the IMAGMASEIS project, a large-N seismic experiment carried out on La Palma (Canary Islands, Spain) between 2023 and 2024, aimed at high-resolution imaging of the crustal and upper mantle structure using passive seismic methods. The project involved the deployment of 235 temporary broadband and short-period seismic stations, supplementing 21 permanent stations, thus creating the densest seismic network ever installed on the island. The main goal is to characterise the magmatic plumbing system beneath Cumbre Vieja volcano, identify magma accumulation zones, and investigate structural changes related to the 2021 Tajogaite eruption. We describe the experimental design, network configuration, instrumentation, deployment strategies, and challenges encountered, including difficult terrain and logistical constraints. Preliminary results demonstrate the potential of the dataset for ambient noise tomography, receiver function analysis, and local earthquake studies. IMAGMASEIS provides a valuable resource for understanding volcanic and tectonic processes in oceanic island settings and serves as a model for cost-effective, high-density seismic deployments in similar environments.

Surveys in GeophysicsVol. 47(1)
Universidad de Granada (ES), Universidad de Jaén (ES), National University of Río Negro (AR), Instituto Geográfico Nacional (ES), GFZ Helmholtz Centre for Geosciences (DE)
Universidad de Granada, Junta de Andalucía, European Regional Development Fund, Agencia Estatal de Investigación, European Social Fund
Life below water
Openalex Percentile: Top 73%
Seismic Waves and Analysis
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