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The central part of the Pannonian Basin is characterised by low to medium seismicity. North central Hungary is one of the most dangerous areas of the country in terms of earthquakes, which also includes the area of the Mór Graben where some of the largest earthquakes occurred in Hungary’s history. Recent activity has been observed in the Mór Graben. It has been established that earthquake swarms occur quite frequently in the graben. To further study these events, we deployed a temporary seismic network that operated for 20 months. Using the temporary network stations as well as permanent stations from the Kövesligethy Radó Seismological Observatory and the GeoRisk Ltd. networks we registered 102 events of small magnitudes. In this paper, we demonstrate and compare three different event detection methods based on the registered waveforms by the permanent and temporary stations to find the optimal one to collect a complete swarm list in the Mór Graben. After the hierarchical cluster analysis, we relocated the hypocentres using a multiple-event algorithm. Our results demonstrate that the most successful detector in this case is the “Subspace detector.” We managed to create a complete list of the events. Our results indicate that the Mór Graben is still seismically active.
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; Kalmár, Dániel 2 ; Kiszely, Márta 2 ; Süle, Bálint 2 ; Fodor, László 3 1 Kövesligethy Radó Seismological Observatory, Institute of Earth Physics and Space Science, Budapest, Hungary (GRID:grid.435229.b) (ISNI:0000 0004 0638 7584); Institute of Geography and Earth Sciences, Eötvös Loránd University, Department of Geophysics and Space Sciences, Budapest, Hungary (GRID:grid.5591.8) (ISNI:0000 0001 2294 6276)
2 Kövesligethy Radó Seismological Observatory, Institute of Earth Physics and Space Science, Budapest, Hungary (GRID:grid.435229.b) (ISNI:0000 0004 0638 7584)
3 Institute of Earth Physics and Space Science, Sopron, Hungary (GRID:grid.435229.b) (ISNI:0000 0004 0638 7584); Institute of Geography and Earth Sciences, Eövös Loránd University, Department of Geology, Budapest, Hungary (GRID:grid.5591.8) (ISNI:0000 0001 2294 6276)