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Local tsunamigenic sources in Greece, identified by pattern recognition

O. V. Novikova () and A. I. Gorshkov
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O. V. Novikova: Russian Academy of Sciences
A. I. Gorshkov: Russian Academy of Sciences

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 113, issue 2, No 21, 1335-1348

Abstract: Abstract This study is an attempt to determine potential tsunamigenic morphostructural nodes in Greece using pattern recognition algorithms. The earthquakes that have produced local tsunamis in the region were confined to morphostructural nodes whose locations were found by morphostructural zoning. The recognition problem consisted in separating all nodes in the region into the tsunamigenic class and the non-tsunamigenic class based mainly on the geomorphologic parameters of the nodes. The data on tsunamigenic earthquakes in Greece for training the Cora-3 algorithm were taken from the GHTD global historical catalog of tsunamigenic events ( http://www.ngdc.noaa.gov/hazard/tsu_db.shtml ). The recognition procedure resulted in determining 27 tsunamigenic nodes, with most of these being situated in the southern tip of the Peloponnese Peninsula, as well as in the gulfs of Corinth and Patras. Three tsunamigenic nodes were identified in the area of the Malian Gulf on the Aegean coast of Greece. According to the relevant literature, most local tsunamis in Greece were initiated by submarine slides and slumps due to earthquakes. According to the characteristic geomorphologic features derived in this study, the tsunamigenic nodes are situated in settings of contrasting relief characterized by steep slopes. This favors submarine landslides when subjected to earthquake excitation. The results reported in this paper form a basis for developing a methodology to be used in long-term tsunami hazard assessment, supplying information on local potential tsunamigenic sources required for tsunami regionalization of coastal areas in Greece.

Keywords: Tsunami; Local tsunamigenic sources; Pattern recognition; Greece (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-022-05349-0

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