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A lava flow simulation experience oriented to disaster risk reduction, early warning systems and response during the 2021 volcanic eruption in Cumbre Vieja, La Palma

Nerea Martín-Raya (), Jaime Díaz-Pacheco (), Abel López-Díez (), Pedro Dorta Antequera () and Amílcar Cabrera
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Nerea Martín-Raya: University of La Laguna (ULL)
Jaime Díaz-Pacheco: University of La Laguna (ULL)
Abel López-Díez: University of La Laguna (ULL)
Pedro Dorta Antequera: University of La Laguna (ULL)
Amílcar Cabrera: Infrastructure Services of the Island Council of La Palma (Canary Islands)

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 117, issue 3, No 49, 3351 pages

Abstract: Abstract Lava flows are one of the hazards involved in a volcanic eruption, and although they rarely cause the loss of human life, they are highly destructive in terms of damage to property and economic activity. Therefore, the management of volcanic disasters requires fast and accurate information on the behaviour and evolution of the flows, mainly related to their extension, displacement, and trajectory. This was the case during the disaster linked to the volcanic event that occurred on the island of La Palma in the Cumbre Vieja area at the end of 2021, which lasted eighty-five days. This paper describes part of the work performed by many different groups to provide predictive information aimed at feeding the early warning system set up during the disaster. This case shows the experience in the use of a probabilistic simulation algorithm implemented in the Q-LavHA plugin for the QGIS software, which is both easily accessible and applicable, to analyze its features in detail, as well as its predictive capacity. The results show that the model can efficiently and quickly satisfy the demand for this type of information, and its high similarity value is also validated by the Kappa index.

Keywords: Lava flow simulation; Volcanic hazards; Disaster risk reduction; Early warning; La Palma (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11069-023-05989-w

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