Articles | Volume 18, issue 4
https://doi.org/10.5194/essd-18-2979-2026
https://doi.org/10.5194/essd-18-2979-2026
Data description article
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29 Apr 2026
Data description article | Highlight paper |  | 29 Apr 2026

Creation and analysis of a multi-hazard dataset: Tenerife (Canary Islands) as a case study

Marta López-Saavedra, Joan Martí, and Marc Martínez-Sepúlveda

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Cited articles

Abdel-Monem, A., Watkins, N. D., and Gast, P. W.: Potassium-Argon ages, volcanic stratigraphy and geomagnetic polarity history of the Canary Islands: Tenerife, La Palma and Hierro, Am. J. Sci., 272, 805–825, https://doi.org/10.2475/ajs.272.9.805, 1972. 
Ancochea, E., Fúster, J. M., Ibarrola, E., Cendrero, A., Coello, J., Hernan, F., Cantagrel, J. M., and Jamond, C.: Volcanic evolution of the island of Tenerife (Canary Islands) in light of new K-Ar data, J. Volcanol. Geoth. Res., 44, 231–249, https://doi.org/10.1016/0377-0273(90)90019-C, 1990. 
Anguita, F. and Hernan, F.: A propagating fracture model versus a hot spot origin for the Canary islands, Earth Planet. Sc. Lett., 27, 11–19, https://doi.org/10.1016/0012-821X(75)90155-7, 1975. 
Anguita, F. and Hernán, F.: The Canary Islands origin: a unifying model, J. Volcanol. Geoth. Res., 103, 1–26, https://doi.org/10.1016/S0377-0273(00)00195-5, 2000. 
Araña, V.: Litología y estructura del Edificio Cañadas, Tenerife (Islas Canarias), Estud. Geol.-Madrid, 27, 95–135, 1971. 
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Editorial statement
This manuscript presents a uniquely comprehensive multi-hazard dataset for Tenerife spanning a long period, systematically compiling events such as volcanic eruptions, earthquakes, landslides, and floods. Such long-term, harmonized multi-hazard datasets remain rare but are essential for advancing research on hazard interactions, cascading risks, and long-term risk dynamics.
Short summary
Tenerife faces multiple natural hazards, including volcanic eruptions, floods, and landslides. Our study compiles over 500 years of historical data to identify patterns and vulnerabilities, providing key insights for improving natural risk prevention and management. This dataset helps decision-makers understand hazard risks and develop better mitigation strategies. Our approach serves as a model for other regions to enhance long-term natural risk resilience.
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