Scenarios for the Altamira cave CO2 concentration from 1950 to 2100

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Title: Scenarios for the Altamira cave CO2 concentration from 1950 to 2100
Authors: Sáez, Marina | Benavente, David | Cuezva Robleño, Soledad | Huc, Mireille | Fernández Cortés, Ángel | Mialon, Arnaud | Kerr, Yann | Sánchez Moral, Sergio | Mangiarotti, Sylvain
Research Group/s: Petrología Aplicada
Center, Department or Service: Universidad de Alicante. Departamento de Ciencias de la Tierra y del Medio Ambiente
Keywords: Altamira cave | CO2 concentration | Satellite information
Issue Date: 6-May-2024
Publisher: Springer Nature
Citation: Scientifc Reports. 2024, 14:10359. https://doi.org/10.1038/s41598-024-60149-9
Abstract: A data-driven approach insensitive to the initial conditions was developed to extract governing equations for the concentration of CO2 in the Altamira cave (Spain) and its two main drivers: the outside temperature and the soil moisture. This model was then reformulated in order to use satellite observations and meteorological predictions, as a forcing. The concentration of CO2 inside the cave was then investigated from 1950 to 2100 under various scenarios. It is found that extreme levels of CO2 were reached during the period 1950–1972 due to the massive affluence of visitors. It is demonstrated that it is possible to monitor the CO2 in the cave in real time using satellite information as an external forcing. For the future, it is shown that the maximum values of CO2 will exceed the levels reached during the 1980s and the 1990s when the CO2 introduced by the touristic visits, although intentionally reduced, still enhanced considerably the micro corrosion of walls and pigments.
Sponsor: This work was supported by the French programs Les Enveloppes Fluides et l’Environnement (CNRS-INSU), Défi Infinity (CNRS) and Programme National de Télédétection Spatiale (CNRS-INSU), Spirale (IRD). This research was also supported by the Spanish Ministry of Science and Innovation through project PID2019-110603RB-I00.
URI: http://hdl.handle.net/10045/142704
ISSN: 2045-2322
DOI: 10.1038/s41598-024-60149-9
Language: eng
Type: info:eu-repo/semantics/article
Rights: © The Author(s) 2024. 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/.
Peer Review: si
Publisher version: https://doi.org/10.1038/s41598-024-60149-9
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