Optimization of Broadband Seismic Network in the Kingdom of Saudi Arabia

Handle URI:
http://hdl.handle.net/10754/136692
Title:
Optimization of Broadband Seismic Network in the Kingdom of Saudi Arabia
Authors:
Alshuhail, Abdulrahman
Abstract:
Saudi Arabia covers a large portion of the Arabian plate, a region characterized by seismic activity, along complex divergent and convergent plate boundaries. In order to understand these plate boundaries it is essential to optimize the design of the broadband seismic station network to accurately locate earthquakes. In my study, I apply an optimization method to design the broadband station distribution in Saudi Arabia. This method is based on so called D-optimal planning criterion that optimizes the station distribution for locating the hypocenters of earthquakes. Two additional adjustments were implemented: to preferentially acquire direct and refracted wave, and to account for geometric spreading of seismic waves (and thus increases the signal to noise ratio). The method developed in this study for optimizing the geographical location of broadband stations uses the probability of earthquake occurrence and a 1-D velocity model of the region, and minimizes the ellipsoid volume of the earthquake location errors. The algorithm was applied to the current seismic network, operated by the Saudi Geologic Survey (SGS). Based on the results, I am able to make recommendations on, how to expand the existing network. Furthermore, I quantify the efficiency of our method by computing the standard error of epicenter and depth before and after adding the proposed stations.
Advisors:
Mai, Paul Martin ( 0000-0002-9744-4964 )
Committee Member:
Schuster, Gerard T.; Sinadinovski, Cvetan
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Program:
Earth Sciences and Engineering
Issue Date:
May-2011
Type:
Thesis
Appears in Collections:
Theses; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.advisorMai, Paul Martinen
dc.contributor.authorAlshuhail, Abdulrahmanen
dc.date.accessioned2011-07-24T09:00:04Z-
dc.date.available2011-07-24T09:00:04Z-
dc.date.issued2011-05en
dc.identifier.urihttp://hdl.handle.net/10754/136692en
dc.description.abstractSaudi Arabia covers a large portion of the Arabian plate, a region characterized by seismic activity, along complex divergent and convergent plate boundaries. In order to understand these plate boundaries it is essential to optimize the design of the broadband seismic station network to accurately locate earthquakes. In my study, I apply an optimization method to design the broadband station distribution in Saudi Arabia. This method is based on so called D-optimal planning criterion that optimizes the station distribution for locating the hypocenters of earthquakes. Two additional adjustments were implemented: to preferentially acquire direct and refracted wave, and to account for geometric spreading of seismic waves (and thus increases the signal to noise ratio). The method developed in this study for optimizing the geographical location of broadband stations uses the probability of earthquake occurrence and a 1-D velocity model of the region, and minimizes the ellipsoid volume of the earthquake location errors. The algorithm was applied to the current seismic network, operated by the Saudi Geologic Survey (SGS). Based on the results, I am able to make recommendations on, how to expand the existing network. Furthermore, I quantify the efficiency of our method by computing the standard error of epicenter and depth before and after adding the proposed stations.en
dc.language.isoenen
dc.titleOptimization of Broadband Seismic Network in the Kingdom of Saudi Arabiaen
dc.typeThesisen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
thesis.degree.grantorKing Abdullah University of Science and Technologyen_GB
dc.contributor.committeememberSchuster, Gerard T.en
dc.contributor.committeememberSinadinovski, Cvetanen
thesis.degree.disciplineEarth Sciences and Engineeringen
thesis.degree.nameMaster of Scienceen
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