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      Geothermal and structural features of La Palma island (Canary Islands) imaged by ambient noise tomography

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          Abstract

          La Palma island is located in the NW of the Canary Islands and is one of the most volcanically active of the archipelago, therefore the existence of geothermal resources on the island is highly probable. The main objective of this work is to detect velocity anomalies potentially related to active geothermal reservoirs on La Palma island, by achieving a high-resolution seismic velocity model of the first few kilometres of the crust using Ambient Noise Tomography (ANT). The obtained ANT model is merged with a recent local earthquake tomography model. Our findings reveal two high-velocity zones in the island’s northern and southern parts, that could be related to a plutonic intrusion and old oceanic crust materials. Conversely, four low-velocity zones are imaged in the southern part of the island. Two of them can be related to hydrothermal alteration zones located beneath the Cumbre Vieja volcanic complex. This hypothesis is reinforced by comparing the S-wave velocity model with the seismicity recorded during the pre-eruptive phase of the 2021 Tajogaite eruption, which revealed an aseismic volume coinciding with these low-velocity zones. Another low-velocity zone is observed in the southern part of the island, which we interpret as highly fractured rocks which could favour the ascent of hot fluids. A last low-velocity zone is observed in the central part of the island and associated with loose deposits generated by the Aridane valley mega landslide.

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          Matplotlib: A 2D Graphics Environment

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            High-Resolution Surface-Wave Tomography from Ambient Seismic Noise

            Cross-correlation of 1 month of ambient seismic noise recorded at USArray stations in California yields hundreds of short-period surface-wave group-speed measurements on interstation paths. We used these measurements to construct tomographic images of the principal geological units of California, with low-speed anomalies corresponding to the main sedimentary basins and high-speed anomalies corresponding to the igneous cores of the major mountain ranges. This method can improve the resolution and fidelity of crustal images obtained from surface-wave analyses.
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              Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements

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                Author and article information

                Contributors
                icabrera@involcan.org
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                9 August 2023
                9 August 2023
                2023
                : 13
                : 12892
                Affiliations
                [1 ]GRID grid.511653.5, Instituto Volcanológico de Canarias (INVOLCAN), ; 38600 Granadilla de Abona, Tenerife, Canary Islands, Spain
                [2 ]GRID grid.461907.d, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, ; 38000 Grenoble, France
                [3 ]GRID grid.424824.c, ISNI 0000 0001 2362 8333, Icelandic Meteorological Office, ; Reykjavik, Iceland
                [4 ]GRID grid.425233.1, Instituto Tecnológico y de Energías Renovables (ITER), ; 38600 Granadilla de Abona, Tenerife, Canary Islands, Spain
                Article
                39910
                10.1038/s41598-023-39910-z
                10412587
                37558726
                01265028-554c-49a3-a415-da0f815fd0c5
                © Springer Nature Limited 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 December 2022
                : 2 August 2023
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                © Springer Nature Limited 2023

                Uncategorized
                solid earth sciences,geophysics,seismology,volcanology
                Uncategorized
                solid earth sciences, geophysics, seismology, volcanology

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