Predicting the performance of local seismic networks using Matlab and Google Earth.
Author(s) -
Eric P. Chael
Publication year - 2009
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/993627
Subject(s) - matlab , amplitude , grid , interface (matter) , computer science , noise (video) , event (particle physics) , function (biology) , construct (python library) , simulation , real time computing , geodesy , geology , physics , computer network , artificial intelligence , operating system , optics , bubble , evolutionary biology , image (mathematics) , biology , quantum mechanics , maximum bubble pressure method
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.
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