Monitoring the cooling of the 1959 Kīlauea Iki lava lake using surface magnetic measurements

Autor: Gailler , Lydie, Kauahikaua , Jim
Přispěvatelé: Laboratoire Magmas et Volcans ( LMV ), Institut national des sciences de l'Univers ( INSU - CNRS ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut de Recherche pour le Développement et la société-Université Clermont Auvergne ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), ANR-10-LABX-0006/10-LABX-0006,CLERVOLC,Clermont-Ferrand centre for research on volcanism ( 2010 )
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Bulletin of Volcanology
Bulletin of Volcanology, Springer Verlag, 2017, 79 (6), 〈10.1007/s00445-017-1119-7〉
ISSN: 0258-8900
1432-0819
DOI: 10.1007/s00445-017-1119-7〉
Popis: International audience; Lava lakes can be considered as proxies for smallmagma chambers, offering a unique opportunity to investigatemagma evolution and solidification. Repeated magneticground surveys over more than 50 years each show a largevertical magnetic intensity anomaly associated with KīlaueaIki Crater, partly filled with a lava lake during the 1959 erup-tion of Kīlauea Volcano (Island of Hawai’i). The magneticfield values recorded across the Kīlauea Iki crater floor andthe cooling lava lake below result from three simple effects:the static remnant magnetization of the rocks forming thesteep crater walls, the solidifying lava lake crust, and thehot, but shrinking, paramagnetic non-magnetic lens(>540 °C). We calculate 2D magnetic models to reconstructthe temporal evolution of the geometry of this non-magneticbody, its depth below the surface, and its thickness. Our resultsare in good agreement with the theoretical increase in thick-ness of the solidifying crust with time. Using the 2D magneticmodels and the theoretical curve for crustal growth over a lavalake, we estimate that the former lava lake will be totallycooled below the Curie temperature in about 20 years. Thisstudy shows the potential of magnetic methods for detectingand monitoring magmatic intrusions at various scales.
Databáze: OpenAIRE
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