Yield Estimation for Semipalatinsk Underground Nuclear Explosions Using Seismic Surface-wave Observations at Near-regional Distances

2001 ◽  
Vol 158 (11) ◽  
pp. 2217-2226 ◽  
Author(s):  
V. V. Adushkin
2020 ◽  
Vol 221 (1) ◽  
pp. 251-264
Author(s):  
Michael Howe ◽  
Göran Ekström ◽  
Paul G Richards

SUMMARY We have reanalysed observations of body waves and surface waves for 71 well-recorded underground nuclear explosions (UNEs) that were conducted between 1977 and 1989 at the Balapan subregion of the Semipalatinsk Test Site in Kazakhstan. To reconcile differences between body-wave and surface-wave amplitudes, we solve for a scaling factor between vertical and horizontal forces in the explosion model. We find that the estimated scaling factor is anticorrelated with the scaled depth of burial for the subset of UNEs at Balapan that have published depths. The observed anticorrelation and the inferred variations in force scaling suggest that recorded surface-wave amplitudes are significantly influenced by UNE burial depth as well as by previously recognized tectonic release. As part of our analysis, we revisit the relationship between teleseismic mb(P) and yield for UNEs at Balapan, and discuss the physical basis for effectiveness of the mb–MS discriminant.


1993 ◽  
Vol 83 (2) ◽  
pp. 488-508
Author(s):  
Richard R. Leach ◽  
Farid U. Dowla ◽  
Eileen S. Vergino

Abstract A neural network has been developed to simultaneously use multiple seismic measurements, such as mb(Pn) and coda energy, for estimating yields of underground nuclear explosions. Yield estimation results based on a large number of Nevada Test Site events that were recorded at the broadband seismic stations at Elko, Kanab, Landers, and Mina indicate that different length windows (6, 18, and 200 sec) of seismogram energy are as useful as the mb(Pn) measurement when the seismogram is filtered between 0.5 and 2 Hz. Detailed results of yield estimation trends as a function of signal frequency are also obtained. Yield estimation performance using long lapse time coda energy above 2 Hz is significantly limited by the signal-to-noise ratio (SNR). Performance of the neural network with both mb(Pn) and energy information as input does not significantly exceed the performance of a conventional linear regression analysis that is based only on mb(Pn). Properties of the coda signal as a function of frequency and SNR that might ultimately lead us to the application of a full seismogram with a neural network for accurate seismic yield estimation are discussed.


1990 ◽  
Vol 80 (3) ◽  
pp. 656-674 ◽  
Author(s):  
Eileen S. Vergino ◽  
Richard W. Mensing

Abstract Seismic yield estimation at regional distances will become increasingly important in monitoring a Low-Yield Threshold Test Ban (LYTTB). In order to investigate seismic yield estimation using regional data, we have examined regional mb(Pn) values for a large population of Nevada Test Site (NTS) underground nuclear explosions that occurred in widely varying geologic media with a range of yields from less than 1 kt to 300 kt. Magnitude-yield relationships were developed using data from a set of pre-1985 events (calibration set). To obtain an independent estimate of the uncertainty in estimating yields of events at NTS using mb(Pn) alone, the calibrated relationships were applied to a set of post-1984 events (prediction set). We found that the average uncertainty in the yield estimate, based on a weighted combination of the yield estimates from the four Livermore NTS Network (LNN) seismic stations, is about 1.8 (at the 2σ level). If data are available from all four LNN stations, the uncertainty is about 1.7 (at the 2σ level). By including a term for the gas-filled porosity of the rock near the working point in the magnitude-yield relationship, we were able to develop a single relationship valid for events both above and below the water table, as well as those in alluvium and tuff. We have found, however, systematic differences in the relationships for events in Yucca Flat, Pahute Mesa, and Rainier Mesa.


1967 ◽  
Vol 57 (2) ◽  
pp. 249-267 ◽  
Author(s):  
George H. Sutton ◽  
Walter Mitronovas ◽  
Paul W. Pomeroy

abstract Azimuthal radiation patterns of short-period (0.5-2.0 cps) seismic energy obtained from integrals of the seismograms from two underground nuclear explosions and two earthquakes are used to study the propagation and source characteristics of the Pg and Lg phases in the United States. In addition, the energy spectrum is divided into two bands, greater than and less than 1.4 cps, and the ratio of higher-to-lower-frequency energy is mapped to study the nature of propagation as a function of frequency. Both the total energy and the ratio show large fluctuations with azimuth and distance. However, a general correlation is found between the energy and ratio contours and the major tectonic provinces of the United States. This correlation is attributed to focusing, resulting from lateral variations in velocity and to regional differences in attenuation of the seismic energy. The range in the Q values across the United States, based on the assumption of symmetrical surface wave propagation, is from 200 to 1000, about a factor of 5. The transverse (T) component shows about the same total energy and ratio contour patterns as the vertical (Z) and longitudinal (L) components. Also, energy contour maps are similar to maps obtained using the maximum amplitudes of the Pg and Lg phases. For the events examined, it seems that the nature and distribution of tectonic features along the propagation path are more important in detemining the resultant radiation patterns than the initial conditions at the source. The particle motion at most stations does not give direct proof for the surface wave nature of the Pg and Lg phases, except that Pg tends to be longitudinal or mixed and Lg transverse or mixed.


2020 ◽  
Author(s):  
Dylan Robert Harp ◽  
Suzanne Michelle Bourret ◽  
Philip H. Stauffer ◽  
Ed Michael Kwicklis

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