Author ORCID Identifier
Date Available
12-15-2016
Year of Publication
2016
Degree Name
Master of Science (MS)
Document Type
Master's Thesis
College
Arts and Sciences
Department/School/Program
Earth and Environmental Sciences (Geology)
First Advisor
Dr. Edward Woolery
Abstract
Broadband waveforms from the Ozark, Indiana, Illinois, Kentucky temporary seismic array OIINK, a Flexible Array in the EarthScope project, were used to develop routines to identify and remove mine blast events from a database of local events and preserve the infrequent, small, natural earthquakes. The approach taken was to first create a database of all seismic events that were detected by the OIINK Seismic Array. False-detections, events detected from outside of the project area (approx. 302 thousand square km), and known (i.e. cataloged) local earthquake were also removed. The remaining in the database were local unknown events. During the Phase III of the OIINK project, from 2014 through 2015, the array focused on Kentucky. One month of Phase III waveforms was processed with the Antelope software package to develop a database of event locations and magnitudes. The discrimination routine was developed, primarily in Matlab. A cross-correlation routine was developed to identify mine blasts using waveform correlation coefficient (CC), allowing seismograms to be grouped into common waveform families. Identification of event families was more successful when events within particular spatial clusters were simultaneously examined. As a result, this research focused on six regions that included mining sites in the area. 244 events were semi-automatically identified as blasts from 351 events inside the selected areas, this amount represents 70 % of the events analyzed.
Digital Object Identifier (DOI)
https://doi.org/10.13023/ETD.2016.526
Recommended Citation
Rodriguez Asihama, Paul, "Development of a Semi-Automated Methodology for Discriminating Between Natural and Manmade Seismic Events Using the OIINK Seismic Array" (2016). Theses and Dissertations--Earth and Environmental Sciences. 44.
https://uknowledge.uky.edu/ees_etds/44
