The automated detection of tsunamigenic signals at oceanic observation stations is highly desirable for the advancement of current tsunami early warning systems. These are supported with matching methods using large numbers of tsunami wave propagation modeling scenarios. New techniques using real-time scanning of hydrodynamic signals around a network of stations in an open ocean have been developed for the detection of tsunamis. Spectral ratios with respect to background signals and their levels of similarity across stations were investigated. The new developed algorithms will be wrapped as a reporting web service for the TRIDEC tsunami early warning system in the future.
Modeling and detection of hydrodynamic trends for advancing early-tsunami warnings / Sabeur Z.; Arbab-Zavar B.; Wächter J.; Hammitzsch M.; Löwe P.; Lendholdt M.; Armigliato A.; Pagnoni G.; Tinti S.; Omira R.. - (2013), pp. 40-47. (Intervento presentato al convegno 23rd International Offshore and Polar Engineering (ISOPE) Conference tenutosi a Anchorage, Alaska nel June 30-July 5, 2013).
Modeling and detection of hydrodynamic trends for advancing early-tsunami warnings
ARMIGLIATO, ALBERTO;PAGNONI, GIANLUCA;TINTI, STEFANO;
2013
Abstract
The automated detection of tsunamigenic signals at oceanic observation stations is highly desirable for the advancement of current tsunami early warning systems. These are supported with matching methods using large numbers of tsunami wave propagation modeling scenarios. New techniques using real-time scanning of hydrodynamic signals around a network of stations in an open ocean have been developed for the detection of tsunamis. Spectral ratios with respect to background signals and their levels of similarity across stations were investigated. The new developed algorithms will be wrapped as a reporting web service for the TRIDEC tsunami early warning system in the future.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
