SEE-GRID-SCI SEISMOLOGY VO

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SEE-GRID-SCI SEISMOLOGY VO
Wiki Pages http//wiki.egee-see.org/index.php/SG
_Seismology_VO
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Vision converged communication and service
infrastructure for SEE
The SEE-GRID-SCI initiative is co-funded by the
European Commission under the FP7 Research
Infrastructures contract no. 211338
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Seismology VO (aims)

• Seismology VO will offer the researchers
• Seismic Data Repository Earthquakes, stations
  and sensor information, seismic waveform files
  from various countries in Southeastern Europe.
  Seismic Data Server Application Service (SDSAS),
  A JRA1 development that provides scripts to
  upload seismic data and iterators to access data.
• Seismology Applications
• Earthquake Location Finding (ELF)
• Fault Plane Solution (FPS)
• Massive Digital Seismological Signal Processing
  with the Wavelet Analysis (MDSSP-WA)
• Numerical Modeling of Mantle Convection (NMMC3D)
• Seismic Data Server (SDS)
• Seismic Risk Assesment (SRA)

The SEE-GRID-SCI initiative is co-funded by the
European Commission under the FP7 Research
Infrastructures contract no. 211338
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Seismology VO Platform
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Partner Institutes
Collaborating Organizations Country
Polytechnic University of Tirana Albania
National Academy of Sciences of Armenia Armenia
Seismological Department, in Geophysical Institute of BAS Bulgaria
Department of Geophysics in Institute of Geography and Earth Sciences of Eötvös Loránd University Hungary
Seismological Observatory of Geodetic and Geophysical Research Institute of Hungarian Academy of Sciences Hungary
Faculty of Natural Sciences and Mathematics of University of Ss. Cyril and Methodius FYR of Macedonia
Institute of Geology and Seismology of ASM Moldova
Seismological Survey of Serbia Serbia
Kandilli Observatory and Earthquake Research Institute / Dept. of Computer Engineering , Bogaziçi University Turkey
Middle East Technical University Turkey
Earthquake Research Dept. of General Directorate of Disaster Affairs Turkey
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VO Infrastructure (core services)
Service Primary location Backup location
VOMS voms.ulakbim.gov.tr
WMS wms.ulakbim.gov.tr grid-wms.ii.edu.mk
BDII bdii.ulakbim.gov.tr grid-bdii.ii.edu.mk
LFC lfc.ulakbim.gov.tr grid-lfc.ii.edu.mk
FTS fts.ulakbim.gov.tr
AMGA amga.ulakbim.gov.tr
MyProxy myproxy.ulakbim.gov.tr
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VO usage/access

• Helpdesk information
• currently N/A
• A new Seismo VO Support group will be created in
  https//helpdesk.see-grid.eu/
• Howto get membership
• https//voms.ulakbim.gov.tr8443/voms/seismo.see-g
  rid-sci.eu/ accepts applications for membership.
• VO-admin can process and accept these
  applications
• where to go if error
• Currently Bilal Bektas (bilal.bektas_at_gmail.com)
  is handling these
• Email groups will be created for this purpose

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VO usage/access

• Howto monitor the infrastructure
• An SDSAS script will be developed for reporting
  current inventory of seismic datar
• Use https//c01.grid.etfbl.net/sam.php for
  monitoring infrastructure
• Available UI machine
• currently N/A
• Available developer portal
• currently N/A
• Planning to use portal.grid.org.tr
• Available tools and services
• MyProxy, WMS, RB, BDII, VOMS, AMGA
• SDSAS

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Applications
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Earthquake Location Finding (ELF)

• This application is based on HYPO71 and finds the
  location of earthquakes by scanning
• seismic waveform data.
• This application is not compute intensive , but
  it is data intensive. The application can
• be parallelized by scanning data files in
  parallel by multiple using worker nodes.
• A workflow can be generated automatically by a
  program corresponding to the time
• intervals in which to look for earthquake
• Contact Mehmet Yilmazer , mehmety_at_boun.edu.tr

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Fault Plane Solution (FPS)

• Computes earthquake source parameters (strike,
  slip, dip)
• Inputs
• Crust model layer thicknesses, seismic
  velocities, densities, q-factor
• Actual seismic waveform data (in SAC format)
• Output
• Fault paramtheters
• Useful for identifying tectonic structures that
  are not visible on earths surface
• Computationally intensive application
• A typical run that uses data from 50 stations
  takes 8 hours on a PC
• Implemented in Fortran/C
• Contact Mehmet Yilmazer , mehmety_at_boun.edu.tr

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Massive Digital Seismological Signal Processing
with the Wavelet Analysis(MDSSP-WA)

• Wavelet theory has matured in past years as new
  mathematical tool for time series analysis.
• The continuous or discrete wavelet transforms and
  relevant plotting of the results in coordinate
• system, scales versus time, shows striking
  similarity of the wavelet images, between
  different seismic
• records, coming from the same source region or
  noticeable difference for records of earthquakes
  
• occurred in different source region.
• We assume that, those similar image patterns are
  due to same underlying geological setting while
  the
• differences (usually for smaller scale) is due
  to different source mechanism and finer
  geological
• structures.
• In the first approximation of geological
  structure, similarities of the image patterns in
  domain of large
• scale are noticeable even for the records from
  different source regions.
• With massive processing of earthquake records we
  can define (i) Common features of the
• propagation path for the given seismic source
  region or to define empirical transfer function
  of the
• media (ii) Calculation of the artificial
  seismograms, (iii) Determine the source region
  based on a
• single earthquakes record (iv) Determine the
  more realistic attenuation curve of the selected
  feature
• (parameter), very much needed in seismic hazard
  and risk analysis, (v) Mapping (coding) of the
  given
• earthquake prone region in terms of selected
  parameters (vi)Seismic source parameters
• Contact Ljupco Jordanovski, ljordanovski_at_gmail.co
  m

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Numerical Modeling of MantlE Convection NMMC3D

• The outer part of the Earth consist of moving,
  rotating and interacting
• plates.
• The motion of these plates suggest a large
  convective system in the
• Earth's 2900 thick layer, the mantle.
• The numerical calculations suggested that the
  convective cells are
• formed by sheet-like elongated downwellings
  (subduction zones) and
• narrow, cylindrical upwellings (mantle plumes,
  at the hotspots).
• The main goal of our research is the quantitative
  study of the structure
• and surface manifestation of mantle plumes and
  to make systematic
• investigation of the parameters influencing
  the character of mantle
• convection in 3D.
• Contact Bálint Süle, suba_at_seismology.hu

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SEISMIC RISK ASSESMENT (SRA)

• Seismic Risk Assessment is very important for
  public safety and hazards
• mitigation.
• It is also important for the correct
  determination of earthquake insurance
• premiums and also for understanding the
  social and psychological
• effects of earthquakes.
• Our aim is to develop an application framework to
  allow us to embed
• alternative (deterministic, probabilistic
  etc.) models.
• SRA application can be grouped into four main
  categories
• (i) Accessing Earthquake Catalogue,
• (ii) Earthquake Source Model
• (iii) Seismic Hazard Models
• (iv) Producing Seismic Hazard Maps
• Contact Cevat Sener, sener_at_ceng.metu.edu.tr

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Seismic Data Server Application Service (SDSAS)

• SDSAS is a JRA1 service that serves massive
  seismic data that are archived from national
  seismology centers using a high level interface
  that is easy to use/adapt. It serves official
  lists of earthquakes, stations , sensor
  information.
• It keeps the details of where the data files
  reside are hidden by mapping high level user
  specifications (dates, hours, location etc.) to
  appropriate pathnames.
• The SDSAS implementation will be done by using
  scripts to collect and organizing the seismic
  data by utilizing storage elements, LFC and AMGA
  .
• C iterators can be used by applications to
  access station data, earthquake data and
  information about seismic waveform files.
• Contact Can Özturan, ozturaca_at_boun.edu.tr

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Seismic Data Server (SDS)

• SDS serves seismic data present in AMGA tables
  (station data,
• earthquake data and information about seismic
  waveform
• files - not waveform files themselves) through
  a web interface
• that utilizes kml and Google Earth API.
• Contact Can Özturan, ozturaca_at_boun.edu.tr

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VO application specific information

• N/A yet since most applications are under
  development currently
• SDSAS usage instructions are available on the
  see-grid-sci wiki