Probabilistic Earthquake Location In 3d And Layered Models Pdf


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probabilistic earthquake location in 3d and layered models pdf

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Earthquake location, direct, global-search methods

Advances in Seismic Event Location pp Cite as. Probabilistic earthquake location with non-linear, global search methods allows the use of 3D models and produces comprehensive uncertainty and resolution information represented by a probability density function over the unknown hypocentral parameters. We describe a probabilistic earthquake location methodology and introduce an efficient Metropolis-Gibbs, non-linear, global sampling algorithm to obtain such locations. Using synthetic travel times generated in a 3D model, we examine the locations and uncertainties given by an exhaustive grid-search and the Metropolis-Gibbs sampler using 3D and layered velocity models, and by a iterative, linear method in the layered model. We also investigate the relation of average station residuals to known static delays in the travel times, and the quality of the recovery of known focal mechanisms. With the 3D model and exact data, the location probability density functions obtained with the Metropolis-Gibbs method are nearly identical to those of the slower but exhaustive grid-search. The location PDFs can be large and irregular outside of a station network even for the case of exact data.

Probabilistic earthquake location in 3D and layered models

The Somma—Vesuvius volcanic complex and surroundings are characterized by topographic relief of over m and strong 3-D structural variations. This complexity has to be taken into account when monitoring the background volcano seismicity in order to obtain reliable estimates of the absolute epicentres, depths and focal mechanisms for events beneath the volcano. We have developed a 3-D P -wave velocity model for Vesuvius by interpolation of 2-D velocity sections obtained from non-linear tomographic inversion of the Tomoves and active seismic experiment data. The comparison of predicted and observed 3-D traveltime data from active and passive seismic data validate the 3-D interpolated model. The solution quality, station residuals and hypocentre distribution for these 3-D locations have been compared with those for a representative layered model.

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Chiu and J. Yeh and S. Traditional local-earthquake location using a horizontally layered homogeneous velocity model is limited in its resolution and reliability due to the existence of frequently overlooked 3D complexity of the real Earth.

Probabilistic earthquake location with non-linear, global-search methods allows the use of 3D models and produces comprehensive uncertainty and resolution information represented by a probability density function PDF over the unknown hypocentral parameters. We describe a probabilistic earthquake location methodology and introduce an efficient Metropolis-Gibbs, non-linear, global sampling algorithm to obtain such locations. Using synthetic travel times generated in a 3D model we examine the locations and uncertainties given by an exhaustive grid-search and the Metropolis-Gibbs sampler using 3D and layered velocity models, and by a iterative, linear method in the layered model. We also investigate the relation of average station residuals to know static delays in the travel times, and the quality of the recovery of known focal mechanisms. With the 3D model and exact data, the location PDFs obtained with the Metropolis-Gibbs method are nearly identical to those of the slower but exhaustive grid-search. The location PDFs can be large and irregular outside of a station network even for the case of exact data.


Probabilistic earthquake location with non-linear, global search methods allows the use of 3D models and produces comprehensive uncertainty and resolution.


Benchmarking earthquake location algorithms: A synthetic comparison

Geophysical seismic surveys have been applied to marine geo-site characterization to create images of the complex geological conditions under the seafloor. Accurate knowledge of the ground conditions is critical for geo-risk assessment purposes such as mapping shallow gas hydrate deposits, over-pressured zones, or geological anomalies. Traditional seismic reflection profiling is a relatively fast and flexible method of processing seismic data to recover information on the spatial variation in facies boundaries and subsurface structure. However, the method usually does not provide quantitative information on the composition of the sediments and their physical properties.

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This electronic supplement contains text, tables, and figures associated with our estimation of the 27 August and 4 September earthquake epicenters using the earthquake location code NonLinLoc NLL; Lomax et al. We verified these data against scanned bulletins in Schweitzer and Lee and found no discrepancies.

Probabilistic Earthquake Location in 3D and Layered Models

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Lomax and A.

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seareh methods for probabilistic earthquake loeation in 3D models. In this ehapter we obtain the marginal PDF for the spatial location, a(x). This marginal PDF.


Probabilistic earthquake location in 3D and layered models

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