2015
DOI: 10.1007/s00024-015-1041-x
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An Explosion Aftershock Model with Application to On-Site Inspection

Abstract: Abstract-An estimate of aftershock activity due to a theoretical underground nuclear explosion is produced using an aftershock rate model. The model is developed with data from the Nevada National Security Site, formerly known as the Nevada Test Site, and the Semipalatinsk Test Site, which we take to represent soft-rock and hard-rock testing environments, respectively. Estimates of expected magnitude and number of aftershocks are calculated using the models for different testing and inspection scenarios. These… Show more

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Cited by 6 publications
(3 citation statements)
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“…The p decay exponent for DAG‐2 and DAG‐4 aftershocks of 1.49 and 1.48, respectively is considered high compared to the earthquake range between 0.9 and 1.5 (Utsu et al., 1995) and in the lower population of nuclear explosions between 0.9 and 3 (Gross, 1996). A similar decay rate of p ∼ 1.5 was estimated for the 1992 Non‐proliferation Experiment and several Yucca Valley nuclear tests (Ford & Labak, 2016; Jarpe et al., 1994) suggesting no differences due to emplacement geology (alluvium or volcanic tuff) or differences between nuclear and chemical explosion. Using these aftershock model parameter values, we can hindcast the lack of aftershocks from the smaller (1 ton) DAG‐1 and DAG‐3.…”
Section: Resultssupporting
confidence: 72%
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“…The p decay exponent for DAG‐2 and DAG‐4 aftershocks of 1.49 and 1.48, respectively is considered high compared to the earthquake range between 0.9 and 1.5 (Utsu et al., 1995) and in the lower population of nuclear explosions between 0.9 and 3 (Gross, 1996). A similar decay rate of p ∼ 1.5 was estimated for the 1992 Non‐proliferation Experiment and several Yucca Valley nuclear tests (Ford & Labak, 2016; Jarpe et al., 1994) suggesting no differences due to emplacement geology (alluvium or volcanic tuff) or differences between nuclear and chemical explosion. Using these aftershock model parameter values, we can hindcast the lack of aftershocks from the smaller (1 ton) DAG‐1 and DAG‐3.…”
Section: Resultssupporting
confidence: 72%
“…The K productivity parameter is related to other seismicity parameters by log10(K)=a+b(MMmin), where a is related to the seismicity rate, b is the Gutenberg‐Richter b‐value and M – M min is magnitude difference between the mainshock of a sequence and the smallest detectable aftershock (Gutenberg and Richter, 1956). If we take the a and b values from the soft‐rock model by Ford and Labak (2016), which are −3.40 and 1.10, respectively, and the K values from the Omori fits to the DAG‐2 and DAG‐4 data, then M min is about −3. We can then estimate the cumulative number of aftershocks assuming a Poissonian aftershock rate.…”
Section: Resultsmentioning
confidence: 99%
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