Global thermal spring distribution and relationship to endogenous and exogenous factors

Autor: G. Tamburello, G. Chiodini, G. Ciotoli, M. Procesi, D. Rouwet, L. Sandri, N. Carbonara, C. Masciantonio
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-022-34115-w
Popis: Data from 6000 geothermal areas worldwide are analyzed with a machine learning approach. The analysis suggests and confirms a dominant role of the terrestrial heat flow, topography, volcanism and extensional tectonics.
Databáze: Directory of Open Access Journals
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