A Bayesian inversion framework for yield and height-of-burst/depth-of-burial for near-surface explosions

GSTDTAP > 地球科学

DOI	10.2172/1226968
报告编号	LLNL-TR--677976
来源ID	OSTI ID: 1226968
	A Bayesian inversion framework for yield and height-of-burst/depth-of-burial for near-surface explosions
	Johannesson, Gardar; Bulaevskaya, Vera; Ramirez, Abe; Ford, Sean; Rodgers, Artie
	2015-09-07
出版年	2015
页数	59
语种	英语
国家	美国
领域	地球科学
英文摘要	A Bayesian inversion framework is presented to estimate the yield of an explosion and height-of-burst/depth-of-burial (HOB/DOB) using seismic and air pressure data. This is accomplished by first calibrating the parameters in the forward models that relate the observations to the yield and HOB/DOB and then using the calibrated model to estimate yield and HOB/DOB associated with a new set of seismic and air pressure observations. The MCMC algorithms required to perform these steps are outlined, and the results with real data are shown. Finally, an extension is proposed for a case when clustering in the seismic displacement occurs as a function of different types of rock and other factors.
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来源平台	US Department of Energy (DOE)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/6783
专题	地球科学
推荐引用方式 GB/T 7714	Johannesson, Gardar,Bulaevskaya, Vera,Ramirez, Abe,et al. A Bayesian inversion framework for yield and height-of-burst/depth-of-burial for near-surface explosions,2015.