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A45 - Automated Detection and Characterization of Swarms and Mainshock-Aftershock Sequences in Nicaragua and Costa Rica
A new methodology for the automated identification and characterization of swarms and Mainshock-Aftershock (MsAs) sequences was recently developed and applied to seismicity in the Mexico subduction zone (Ventura-Valentin et al., in review).
A45 - Automated Detection and Characterization of Swarms and Mainshock-Aftershock Sequences in Nicaragua and Costa Rica
Mentors: Michael Brudzinski, Ph.D., Wilnelly Ventura-Valentin, Ph.D. candidate
A new methodology for the automated identification and characterization of swarms and Mainshock-Aftershock (MsAs) sequences was recently developed and applied to seismicity in the Mexico subduction zone (Ventura-Valentin et al., in review). This method uses a nearest neighbor approach to identify clusters (Zaliapin & Ben-Zion, 2013) and then integrates five quantitative characteristics derived from Omori, Båth, and Gutenberg-Richter laws to differentiate swarms from MsAs. Specifically, the algorithm calculates these attributes: magnitude difference, mainshock order, rate decay, magnitude decay, ratio of magnitude range to number of events. Intriguingly, the analysis in Mexico found twice as many swarms as MsAs. Our project is investigating whether this method produces a similar result in the nearby portion of the Central American subduction zone in Nicaragua and Costa Rica.
