The Iterative Processing Framework
Abstract not provided.
Publications
Self-tuning Seismic Sensors: Real-time Trigger Level Adjustments
Abstract not provided.
SALSA3D - A Global 3D P-Velocity Model of the Earth?s Mantle For Improved Seismic Event Location in Nuclear Explosion Monitoring
Abstract not provided.
Adaptive Self-Tuning Networks
Abstract not provided.
Challenges for Adaptive Self-Tuning of Seismic Sensors: Detailed Case Study at Erebus Volcano Antarctica
Abstract not provided.
Adaptive Self-Tuning Networks
Abstract not provided.
Modeling Seismoacoustic Propagation from the Nonlinear to Linear Regimes
Abstract not provided.
SALSA3D: A GLOBAL 3D VELOCITY MODEL FOR IMPROVED
Abstract not provided.
PATH-DEPENDENT TRAVEL TIME PREDICTION VARIANCE AND COVARIANCE FOR A GLOBAL TOMOGRAPHIC P-VELOCITY MODEL
Abstract not provided.
Self-Tuning Seismic Sensor Data Processing
Abstract not provided.
A Global 3D Velocity Model for Improved Seismic Event Location in Nuclear Explosion Monitoring
Abstract not provided.
Calculating Surface Wave Dispersion using a Boundary Value Solver
Bulletin of the Seismological Society of America
Abstract not provided.
A Seismic Detection Network Modeling Tool for the Comprehensive Nuclear-Test-Ban Treaty Organization
Abstract not provided.
A Seismic Detection Network Modeling Tool for the Comprehensive Nuclear-Test-Ban Treaty Organization
Abstract not provided.
Numerical and Theoretical Analyses of Underground Explosion Cavity Decoupling
Abstract not provided.
A New Network Modeling Tool for the Comprehensive Test Ban Treaty Organization
Abstract not provided.
A MULTIPLE DATA SET JOINT INVERSION GLOBAL 3D P-VELOCITY MODEL OF THE EARTH'S CRUST AND MANTLE FOR IMPROVED SEISMIC EVENT LOCATION
Abstract not provided.
3D Finite-Difference Modeling of Acoustic Radiation from Seismic Sources
Abstract not provided.
A New Network Modeling Tool for the Ground-Based Nuclear Explosion Monitoring Community
Abstract not provided.
NetMOD: A New Network Modeling Tool for the Ground-Based Nuclear Explosion Monitoring Community
Abstract not provided.
SALSA3D ? Improving Event Locations Using a Global 3D P-Velocity Model of the Earth's Crust and Mantle
Abstract not provided.
Seismic data acquisition at the FACT site for the CASPAR project
Since May 2010, we have been recording continuous seismic data at Sandia's FACT site. The collected signals provide us with a realistic archive for testing algorithms under development for local monitoring of explosive testing. Numerous small explosive tests are routinely conducted around Kirtland AFB by different organizations. Our goal is to identify effective methods for distinguishing these events from normal daily activity on and near the base, such as vehicles, aircraft, and storms. In this report, we describe the recording system, and present some observations of the varying ambient noise conditions at FACT. We present examples of various common, non-explosive, sources. Next we show signals from several small explosions, and discuss their characteristic features.
Coupled and separated finite-difference calculations of seismo-acoustic wave propagation
Abstract not provided.
Local magnitudes of small contained explosions
The relationship between explosive yield and seismic magnitude has been extensively studied for underground nuclear tests larger than about 1 kt. For monitoring smaller tests over local ranges (within 200 km), we need to know whether the available formulas can be extrapolated to much lower yields. Here, we review published information on amplitude decay with distance, and on the seismic magnitudes of industrial blasts and refraction explosions in the western U. S. Next we measure the magnitudes of some similar shots in the northeast. We find that local magnitudes ML of small, contained explosions are reasonably consistent with the magnitude-yield formulas developed for nuclear tests. These results are useful for estimating the detection performance of proposed local seismic networks.
Predicting the performance of local seismic networks using Matlab and Google Earth
We have used Matlab and Google Earth to construct a prototype application for modeling the performance of local seismic networks for monitoring small, contained explosions. Published equations based on refraction experiments provide estimates of peak ground velocities as a function of event distance and charge weight. Matlab routines implement these relations to calculate the amplitudes across a network of stations from sources distributed over a geographic grid. The amplitudes are then compared to ambient noise levels at the stations, and scaled to determine the smallest yield that could be detected at each source location by a specified minimum number of stations. We use Google Earth as the primary user interface, both for positioning the stations of a hypothetical local network, and for displaying the resulting detection threshold contours.
Results 1–25 of 33