2015
DOI: 10.1007/s00477-015-1030-8
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Comparing seismicity declustering techniques by means of the joint use of Allan Factor and Morisita index

Abstract: In this paper, we propose to compare different declustering methods on the basis of the time-correlation and the space-clustering of the residual earthquake catalog after the declustering techniques have been applied. To this aim, we applied two point process clustering measures, the Allan Factor and the Morisita Index, for the identification and quantification of temporal correlation and spatial clustering in point processes, respectively. We used our joint space-time approach to study the earthquake spacetim… Show more

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Cited by 13 publications
(3 citation statements)
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“…However, they underpredicted the number of earthquakes during the 40YEAR.RETRO experiment, when their forecasted spatial seismicity rate distributions were also inconsistent with observed seismicity. One possible reason for the underprediction is the difference in declustering algorithms applied to the earthquake input data and observation catalogue (Gardner and Knopoff for USGS models and Reasenberg for RELM models), as the Gardner and Knopoff method tends to remove more earthquakes than the Reasenberg method (Telesca et al 2016). Because the forecasts rejected in favour of UCERF2 during the 40YEAR.RETRO experiment only included southern California, the failed S-test may indicate that incorrect seismicity rates of the USGS models were confined mainly to central and northern California.…”
Section: Relm Experiments Updatementioning
confidence: 99%
“…However, they underpredicted the number of earthquakes during the 40YEAR.RETRO experiment, when their forecasted spatial seismicity rate distributions were also inconsistent with observed seismicity. One possible reason for the underprediction is the difference in declustering algorithms applied to the earthquake input data and observation catalogue (Gardner and Knopoff for USGS models and Reasenberg for RELM models), as the Gardner and Knopoff method tends to remove more earthquakes than the Reasenberg method (Telesca et al 2016). Because the forecasts rejected in favour of UCERF2 during the 40YEAR.RETRO experiment only included southern California, the failed S-test may indicate that incorrect seismicity rates of the USGS models were confined mainly to central and northern California.…”
Section: Relm Experiments Updatementioning
confidence: 99%
“…Gruenthal [49], Reasenberg [50] and Uhrhammer [51] presented the same method with different values for time and space windows. Amini (2014) and Telesca et al (2016) compared different declustering approaches from the points of viewing time and space correlation to achieve Poissonian catalogs and assess performance of each approach [52,53]. Table 7.…”
Section: Elimination Of Foreshocks and Aftershocksmentioning
confidence: 99%
“…A typical example of oriented point patterns is given by the distribution of earthquake epicenters after a "mainshock" event. "Aftershock" events are normally clustered along the linear directions or segments given by the active faults [53].…”
Section: Introductionmentioning
confidence: 99%