Abstract

Recognizing the tsunamigenic potential of an earthquake presents a challenge in the context of studies devoted to early warnings of tsunami events. In this paper, we show the feasibility of discriminating between tsunamigenic and non-tsunamigenic earthquakes by analyzing seismograms on the basis of the Fisher–Shannon method, which is used to analyze the order/organization structure of a complex and nonstationary time series. The results obtained results show that by combining the measures of the Shannon entropy power and the Fisher information measure, the discrimination between the two groups—tsunamigenic and non-tsunamigenic earthquakes—is very efficiently achieved. These results could contribute to the assessment of tsunami early warning systems.

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