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dc.contributor.advisorArıkan, Orhanen_US
dc.contributor.authorAkyol, Ali Alpen_US
dc.date.accessioned2016-01-08T20:06:33Z
dc.date.available2016-01-08T20:06:33Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/11693/17099
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Graduate School of Engineering and Science of Bilkent Univ., 2013.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2013.en_US
dc.descriptionIncludes bibliographical references leaves 49-53.en_US
dc.description.abstractIonosphere region of Earth’s upper atmosphere ranging from 90 km to 1000 km altitude, has a significant effect on military and civilian communications, satellite communications and positioning systems. Solar, geomagnetic, gravitational and seismic activities cause variations in the electron distribution of the atmosphere. The number of electrons within a vertical column of 1 m2 cross section, which is called as Total Electron Content (TEC), is a measurable feature of the ionosphere that provides valuable information about the ionosphere. TEC can be measured fast and accurately by using the phase difference between transmitted satellite positioning signals such as in the Global Positioning System (GPS). To investigate the reliability of earthquake prediction based on detection of local ionospheric anomalies, TEC measurements obtained from a network of GPS receivers over a period of 2 years in 2010 and 2011 are used to generate detection signals. For a day of interest, after selecting a receiver station surrounding GPS stations that are located within 150 km of the chosen station used to estimate TEC measurements at the chosen station. In one of the proposed techniques, detection of ionospheric anomalies is based on distance between measured TEC and its estimate. Detection threshold is obtained based on statistical variation of this distance for the days with insignificant seismic activities. Also, another detection technique based on temporal variation of TEC measurements is proposed. Both individual and fused detection performances of these techniques are investigated for a given level of false alarms. It is observed that the fused detection has superior performance and able to detect 15 out of 23 earthquakes of magnitude larger than 5 in Richter scale while generating 8 false alarms.en_US
dc.description.statementofresponsibilityAkyol, Ali Alpen_US
dc.format.extentviii, 53 leaves, tables, graphs, mapsen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectTotal Electron Content (TEC)en_US
dc.subjectGlobal Positioning System (GPS)en_US
dc.subject.lccTN269 .A59 2013en_US
dc.subject.lcshSeismic reflection method--Data processing.en_US
dc.subject.lcshSignal processing.en_US
dc.subject.lcshSeismic waves--Data processing.en_US
dc.subject.lcshEarthquake prediction--Data processing.en_US
dc.subject.lcshGlobal Positioning System.en_US
dc.subject.lcshSatellite--Atmospheres.en_US
dc.titleInvestigation on the reliability of earthquake prediction based on ionospheric electron content variationen_US
dc.typeThesisen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


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