2014
DOI: 10.1007/s00024-014-0785-z
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Near-Field ETAS Constraints and Applications to Seismic Hazard Assessment

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Cited by 8 publications
(6 citation statements)
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“…Similar patterns of activity would then be searched in observed earthquake activity with the idea of using these as the inputs to forecast probabilities. Yoder et al (2015) introduced a method of estimating the near-field (near the rupture boundary and immediately following the mainshock) spatial density and temporal rate of aftershocks based on a fractal dimension D > 0 model of mainshock and aftershock events. From this model, the ETAS parameter space can be tightly constrained to facilitate accurate estimates of aftershock rates and probabilities, based on earthquake scaling relations, with minimal operator input and data fitting.…”
Section: Medium-term Forecasts Based On Earthquake Simulations Using ...mentioning
confidence: 99%
See 2 more Smart Citations
“…Similar patterns of activity would then be searched in observed earthquake activity with the idea of using these as the inputs to forecast probabilities. Yoder et al (2015) introduced a method of estimating the near-field (near the rupture boundary and immediately following the mainshock) spatial density and temporal rate of aftershocks based on a fractal dimension D > 0 model of mainshock and aftershock events. From this model, the ETAS parameter space can be tightly constrained to facilitate accurate estimates of aftershock rates and probabilities, based on earthquake scaling relations, with minimal operator input and data fitting.…”
Section: Medium-term Forecasts Based On Earthquake Simulations Using ...mentioning
confidence: 99%
“…The model was then compared to six 6 < M < 9 recent earthquakes, followed by a discussion of the implications of this model both with respect to earthquake physics and as they relate to seismic hazard assessment. Note that this model is particularly well suited to automated, web-deployed, and rapid response seismic hazard applications (Yoder et al 2015).…”
Section: Medium-term Forecasts Based On Earthquake Simulations Using ...mentioning
confidence: 99%
See 1 more Smart Citation
“…The numbers of shortest N rbĂ€shortest and longest N rbĂ€longest recordbreaking intervals are counted in the rightmost two columns (22) and (21) For most of this paper, we use Dk % 1:76 (HELM- STETTER, 2003;KAGAN, 2002;YODER et al, 2014a;PEGLER and DAS, 1996). As discussed in the Sect.…”
Section: Record-breaking and Omori-interval Time Seriesmentioning
confidence: 99%
“…(12). It may be possible to estimate earthquake incidence by convolving RBTS with epidemic type aftershock sequence (ETAS)-based models (OGATA, 1988;YODER et al, 2012bYODER et al, , 2014a. More sophisticated physics-based earthquake simulators, for example Virtual California (VC) (YIKILMAZ et al, 2010(YIKILMAZ et al, , 2011RUNDLE et al, 2006) seem to be an increasingly attractive option.…”
Section: Quantitative Analysismentioning
confidence: 99%