Monitoring the tectonic plate movements in Turkey based on the national continuous GNSS network

Uzel, Turgut; Eren, Kamil; Gülal, Engīn; Tiryakioğlu, İbrahim; Dindar, Ahmet Anıl; Yilmaz, Haluk

doi:10.1007/s12517-012-0631-5

Cited by 21 publications

(12 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the objectives of this project was to establish a spatial infrastructure to monitor the tectonic plate movements using continuous GNSS data, ultimately to contribute to the prediction of earthquakes and early warning studies within the network area (Uzel et al 2013).…”

Section: Gnss Network and Data Analysismentioning

confidence: 99%

“…LC (L3) the ionosphereindependent linear combination of the L1 and L2 carrier waves was used during the analysis. The FES2004 Ocean Tide Loading (OTL) grid was used to interpolate the components of the displacement caused by ocean tides (Gulal et al 2013;Herring et al 2010;Lyard et al 2006;Ozener et al 2010;Tiryakioglu 2015).…”

Section: Gnss Network and Data Analysismentioning

confidence: 99%

“…With the time series analysis, it is possible to determine the linear (trend), periodic and irregular (stochastic) movements of the reference stations. For the north, east, and up coordinates of the reference stations, the times series of (ti) depending on the time of ti (i= 1,2,3,...,N) can be expressed as follows (Gulal et al 2013(Gulal et al , 2015: In order to perform the time series analysis of x (ti) , the data must be continuous and systematic. In the analysis of the time series, first, the general state of time series should be visually interpreted based on the time-dependent graphics of the series.…”

Section: Analysis Of Inter-seismic Deformation With Long-term Time Sementioning

confidence: 99%

“…In this study, we discuss the 'additive outliers' (AO), first defined by Fox (1972) as the first type outliers that occur due to incorrect data entry or measurements, and affect only one measurement. After the removal of the measurements that are significantly larger or smaller than the expected values, the time series returns to its normal course (Gulal et al 2013).…”

Section: Analysis Of Inter-seismic Deformation With Long-term Time Sementioning

confidence: 99%

“…The function used to eliminate outliers in the y(ti) series can be expressed as the sum of linear and trigonometric functions (periodic motion) (Erdogan 2012;Gulal et al 2013).…”

Section: Analysis Of Inter-seismic Deformation With Long-term Time Sementioning

confidence: 99%

See 4 more Smart Citations

Analysis of October 23 (Mw 7.2) and November 9 (Mw 5.6), 2011 Van Earthquakes Using Long-Term GNSS Time Series

Tiryakioğlu¹,

Yavaşoğlu²,

Uğur³

et al. 2017

Earth sci. res. j.

Self Cite

View full text Add to dashboard Cite

The eastern Anatolia provides one of the best examples of an area of rapid deformation and intense contraction that is the consequence of an active continental collision between the Arabian and Eurasian plates leading to large and devastating earthquakes. The latest evidence of the active tectonism in the region is revealed by two remarkable seismic events; Van-Tabanli (Mw 7.2, October 23, 2011) and Van-Edremit (Mw 5.6, November 9, 2011) earthquakes. The study of the earthquake cycle and observation of geodetic and seismic deformation in this region is very important to hazard assessments. In this study, the inter-seismic, co-seismic, and post-seismic movements caused by the above-mentioned earthquakes were investigated using the time series of 2300 days of Global Navigation Satellite Systems (GNSS) observations of the local stations selected from the network of the Continuously Operating Reference Stations, Turkey (CORS-TR). For the inter-seismic period, approximately 1100 daily data were obtained from 21 CORS-TR stations (prior to the earthquakes between October 1, 2008 and October 23, 2011) and evaluated using the GAMIT/GLOBK software. The behaviour of these stations was investigated by processing 1 Hz data from the GNSS stations during the earthquakes on the GAMIT/TRACK software. In addition to October 23 and November 9, the GNSS data on one day before and after the earthquakes was assessed to determine co-seismic deformations. During the October 23 earthquake, hanging-wall deformation of about 60 mm was detected in the SW direction at the MURA station. However, at the VAAN station, deformation of 200 mm (value predicted by time series) was observed in the footwall block in the NW direction. There were not any significant changes at the stations during the November 9 earthquake. For the post-seismic period, the GNSS data from 2012 to 2015 was evaluated. According to the observations, post-seismic deformation continued at the stations close to the epicenter of the earthquake.

show abstract

Section: Gnss Network and Data Analysismentioning

confidence: 99%

Section: Gnss Network and Data Analysismentioning

confidence: 99%

Section: Analysis Of Inter-seismic Deformation With Long-term Time Sementioning

confidence: 99%

Section: Analysis Of Inter-seismic Deformation With Long-term Time Sementioning

confidence: 99%

“…The function used to eliminate outliers in the y(ti) series can be expressed as the sum of linear and trigonometric functions (periodic motion) (Erdogan 2012;Gulal et al 2013).…”

Section: Analysis Of Inter-seismic Deformation With Long-term Time Sementioning

confidence: 99%

See 3 more Smart Citations