Monitoring of large scale earthquake using long-baseline based position-velocity-acceleration GPS model

Chang Ki Hong, Jisun Lee, Jay Hyoun Kwon

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

GPS technique has been widely used for monitoring large scale earthquake and long baseline approach is required if one is interested in relative positioning mode. Therefore, a proper modeling on the atmospheric effects should be performed because those effects are not fully removed in the long baseline case. In this study, GPS data is processed to monitor the displacement due to large scale earthquake based on the position-velocity-acceleration (PVA) model. PVA model is efficient in that both velocity and acceleration information, which can also be used for creating peak ground velocity and acceleration maps, are obtained simultaneously. The ionospheric disturbances due to crustal movement can also be monitored using the model. The algorithms are successfully applied to (Mw 9.0) Tohoku earthquake event occurred on March, 11, 2011 and the results show good agreements with those from the previous studies.

Original languageEnglish
Pages (from-to)661-667
Number of pages7
JournalGeosciences Journal
Volume23
Issue number4
DOIs
StatePublished - 1 Aug 2019

Keywords

  • PVA model
  • earthquake
  • ionospheric disturbance
  • subject classification codes

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