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We studied the earthquake detection capacity of DONET (Dense OceanfloorNetwork system for Earthquakes and Tsunamis) operating in the Nankai Trough, atarget region monitored for future megathrust earthquakes. The focus was toevaluate the impact on this capacity from the prism of the malfunction of partsof the network. For this purpose, the completeness magnitude, above which allearthquakes are considered to be detected by a seismic network, was used. Then,a catalog that includes events observed by DONET was used. We foundspatiotemporal variability of completeness magnitude, ranging from values below1 in one of the areas where stations are densely deployed to values above 2 atthe periphery and outside of the DONET area. We conducted a simulationcomputation for cases of malfunction of densely distributed stations. Theresults showed that completeness estimates in the area near the malfunctioningstations were about 1 magnitude larger. This implies that malfunction repairand/or replacement with new stations would be desirable, because itpronouncedly affects earthquake monitoring. We then demonstrated an example ofhow to use information on completeness magnitude as prior knowledge to computethe b value of the Gutenberg-Richter distribution. The result indicates the bvalue as a proxy that can help to image stress heterogeneity when there is amagnitude-6 class slow slip event on the Nankai Trough plate boundary.

Earthquake detection capacity of the Dense Oceanfloor Network system for Earthquakes and Tsunamis (DONET)