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dc.contributor.authorPasari, Sumanta-
dc.date.accessioned2023-08-14T09:32:32Z-
dc.date.available2023-08-14T09:32:32Z-
dc.date.issued2021-
dc.identifier.urihttps://ieeexplore.ieee.org/document/9792131-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11382-
dc.description.abstractEarthquake nowcasting uses cumulative counts of interevent small earthquakes (say, 3.0≤M<6.0) between successive large earthquakes (M≥6.0) to estimate the current dynamic state of a geological fault system. As Shannon information entropy (SIE) can suitably quantify the amount of information preserved in a dataset, the present study implements the concept of SIE to the earthquake fault system to examine its efficacy in the computation of earthquake potential score (EPS). The EPS provides a unique measure to determine the current level of earthquake cycle progression in a defined area. Earthquake data from a large region in Southeast Asia is considered for illustration. A comparison of EPS obtained from conventional natural-time analysis and SIE-based natural time analysis shows that SIE has minor contribution in seismic nowcasting analysis.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectMathematicsen_US
dc.subjectEarthquake nowcastingen_US
dc.subjectShannon informationen_US
dc.subjectSeismic hazard analysisen_US
dc.titleUse of Shannon Information Entropy in Earthquake Nowcastingen_US
dc.typeArticleen_US
Appears in Collections:Department of Mathematics

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