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Journal Article

Global Navigation Satellite Systems Seismology for the 2012 M w 6.1 Emilia Earthquake: Exploiting the VADASE Algorithm

E. Benedetti, M. Branzanti, L. Biagi, G. Colosimo, A. Mazzoni, M. Crespi
Published: 01 May 2014
Seismological Research Letters (2014) 85 (3): 649–656.
DOI: https://doi.org/10.1785/0220130094
... Engine ( VADASE ) and reference solutions at MODE station (1 Hz observations over 120 s interval 20 May 2012—02:04:00 to 02:06:00 GPS time, ionosphere‐free processing). Figure 1. Position of the Global Navigation Satellite Systems permanent positions station and their distances from...
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View PDF for article title, <span class="search-highlight">Global</span> <span class="search-highlight">Navigation</span> <span class="search-highlight">Satellite</span> <span class="search-highlight">Systems</span> Seismology for the 2012 M w 6.1 Emilia Earthquake: Exploiting the VADASE Algorithm
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Add to Citation Manager for <span class="search-highlight">Global</span> <span class="search-highlight">Navigation</span> <span class="search-highlight">Satellite</span> <span class="search-highlight">Systems</span> Seismology for the 2012 M w 6.1 Emilia Earthquake: Exploiting the VADASE Algorithm
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Journal Article

Global Navigational Satellite System Seismic Monitoring

Timothy I. Melbourne, Walter M. Szeliga, Victor Marcelo Santillan, Craig W. Scrivner
Published: 11 May 2021
Bulletin of the Seismological Society of America (2021) 111 (3): 1248–1262.
DOI: https://doi.org/10.1785/0120200356
...Timothy I. Melbourne; Walter M. Szeliga; Victor Marcelo Santillan; Craig W. Scrivner ABSTRACT We have developed a global earthquake deformation monitoring system based on subsecond‐latency measurements from ∼ 2000 existing Global Navigational Satellite System (GNSS) receivers to rapidly...
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View PDF for article title, <span class="search-highlight">Global</span> <span class="search-highlight">Navigational</span> <span class="search-highlight">Satellite</span> <span class="search-highlight">System</span> Seismic Monitoring
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Journal Article

Regional Global Navigation Satellite System Networks for Crustal Deformation Monitoring

Jessica R. Murray, Noel Bartlow, Yehuda Bock, Benjamin A. Brooks, James Foster, Jeffrey Freymueller, William C. Hammond, Kathleen Hodgkinson, Ingrid Johanson, Alberto López‐Venegas, Dörte Mann, Glen S. Mattioli, Timothy Melbourne, David Mencin, Emily Montgomery‐Brown, Mark H. Murray, Robert Smalley, Valerie Thomas
Published: 04 September 2019
Seismological Research Letters (2020) 91 (2A): 552–572.
DOI: https://doi.org/10.1785/0220190113
...; Valerie Thomas Abstract Regional networks of Global Navigation Satellite System (GNSS) stations cover seismically and volcanically active areas throughout the United States. Data from these networks have been used to produce high‐precision, three‐component velocity fields covering broad geographic regions...
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View PDF for article title, Regional <span class="search-highlight">Global</span> <span class="search-highlight">Navigation</span> <span class="search-highlight">Satellite</span> <span class="search-highlight">System</span> Networks for Crustal Deformation Monitoring
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Add to Citation Manager for Regional <span class="search-highlight">Global</span> <span class="search-highlight">Navigation</span> <span class="search-highlight">Satellite</span> <span class="search-highlight">System</span> Networks for Crustal Deformation Monitoring
Image
Distribution of seismic and Global Navigation Satellite Systems (GNSS) stations utilized in (a) the Guanshan earthquake and (b) the Chihshang earthquake. Seismic stations from the Taiwan Strong Motion Instrumentation Program (TSMIP) network are denoted by purple triangles, whereas P‐alert stations are represented by yellow triangles. High‐rate GNSS stations are illustrated by cyan circles, with vectors displaying coseismic displacement measurements. The color version of this figure is available only in the electronic edition.

Distribution of seismic and Global Navigation Satellite Systems (GNSS) stat...

Published: 16 August 2024
Figure 2. Distribution of seismic and Global Navigation Satellite Systems (GNSS) stations utilized in (a) the Guanshan earthquake and (b) the Chihshang earthquake. Seismic stations from the Taiwan Strong Motion Instrumentation Program (TSMIP) network are denoted by purple triangles, whereas P
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(a) Locations of Global Navigation Satellite Systems (GNSS) stations used in this study. Observational histories of the stations are marked by circles filled with various colors. The red box indicates the study area (panel b). The black lines denote the Quaternary faults. (b) GNSS strain rates and historical earthquakes in the southeastern Tibetan plateau. The color scale indicates the Max (|ε1|, |ε2|, |ε1+ε2|) strain rate from GNSS observations (panel a) over the period of 1999 to 2017. ε˙1 and ε˙2 denote maximum and minimum principal strain rates in the horizontal plane, respectively. The brown circles and pentagrams indicate the epicenters of M ≥ 6 earthquakes from A.D. 624 to 2022 after declustering. The white and black lines indicate national boundaries and major Quaternary faults, respectively. The color version of this figure is available only in the electronic edition.

(a) Locations of Global Navigation Satellite Systems (GNSS) stations used i...

Published: 22 November 2023
Figure 2. (a) Locations of Global Navigation Satellite Systems (GNSS) stations used in this study. Observational histories of the stations are marked by circles filled with various colors. The red box indicates the study area (panel b). The black lines denote the Quaternary faults. (b) GNSS
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Global Navigation Satellite Systems (GNSS) velocity field from Beavan et al. (2016), relative to a fixed Australian plate. (a) South Island and (b) North Island. The color version of this figure is available only in the electronic edition.

Global Navigation Satellite Systems (GNSS) velocity field from Beavan et ...

Published: 03 November 2023
Figure 6. Global Navigation Satellite Systems (GNSS) velocity field from Beavan et al. (2016) , relative to a fixed Australian plate. (a) South Island and (b) North Island. The color version of this figure is available only in the electronic edition.
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Seismic and Global Navigation Satellite Systems (GNSS) station coverage for the 2021 Mw 8.2 Chignik earthquake. The limits for the 1964 M 9.2 Prince William Sound, 1938 M 8.3 Semidi, 1946 M 7.4 Sanak (or Unimak), and the 1948 M 7.9 Shumagin earthquakes are based on Davies et al. (1981). The 0.5 m slip contours for the 2020 Mw 7.8 Simeonof earthquake are based on Xiao et al. (2021), and the 1 m slip contours for the 2021 Mw 8.2 Chignik earthquake are as estimated by Elliott et al. (2022). This study analyzed data from 22 GNSS and three strong‐motion stations (AK.CHN, AK.S15K, and AK.S19K). Figure also shows some of the other broadband stations in the vicinity of the earthquake but are not used in this study due to amplitude saturation. This is the band used for the frequency filter. The inset in the figure shows the location of the study region on the globe. The color version of this figure is available only in the electronic edition.

Seismic and Global Navigation Satellite Systems (GNSS) station coverage for...

Published: 08 March 2023
Figure 1. Seismic and Global Navigation Satellite Systems (GNSS) station coverage for the 2021 M w  8.2 Chignik earthquake. The limits for the 1964 M  9.2 Prince William Sound, 1938 M  8.3 Semidi, 1946 M  7.4 Sanak (or Unimak), and the 1948 M  7.9 Shumagin earthquakes are based
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Distribution of high‐rate Global Navigation Satellite Systems (GNSS) continuously operating reference stations (CORS) and aftershocks in 10 days following the 2021 Maduo earthquake. The locations of epicenters are represented by red stars with white numbers from (1) China Earthquake Network Center (CENC), (2) the U.S. Geological Survey (USGS), and (3) the Global Centroid Moment Tensor Database (Global CMT), respectively. Aftershocks are indicated by yellow dots, and the rupture trace is roughly depicted by a red dashed line. Provincial and additional CORS are represented by purple squares and blue triangles, respectively. Among them, stations used in source determination are highlighted by green squares. The pink and blue dashed circles depict the ranges of region I (within 100 km epicentral distance) and region II (within 100–200 km epicentral distance) regions. The color version of this figure is available only in the electronic edition.

Distribution of high‐rate Global Navigation Satellite Systems (GNSS) contin...

Published: 10 August 2022
Figure 1. Distribution of high‐rate Global Navigation Satellite Systems (GNSS) continuously operating reference stations (CORS) and aftershocks in 10 days following the 2021 Maduo earthquake. The locations of epicenters are represented by red stars with white numbers from (1) China Earthquake
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Three events and available Global Navigation Satellite Systems (GNSS) stations. (a) The Mw 6.6 Lushan earthquake of 20 April 2013. (b) The Mw 6.1 Jinggu earthquake of 7 October 2014. (c) The Mw 6.5 Jiuzhaigou earthquake of 8 August 2017. The yellow star indicates the epicenter of earthquake, with corresponding focal mechanism plotted aside. The dashed line shows theoretic peak ground displacement (PGD) contour of 3 cm based on Melgar et al., (2015) scaling relation. The blue triangle shows GNSS station, and the green square represents future planned GNSS station, which corresponds to Figure 7. The gray solid lines show fault traces, in which the traces of Guanxian–Anxian, Lancangjiang, and Tazang faults closest to the epicenter are marked as black solid lines. The blue lines denote river. The focal mechanism for each earthquake is from Global Centroid Moment Tensor (Global CMT). The upper‐left inset on each panel shows the location of event in Sichuan–Yunnan region The color version of this figure is available only in the electronic edition.

Three events and available Global Navigation Satellite Systems (GNSS) stati...

Published: 02 June 2022
Figure 2. Three events and available Global Navigation Satellite Systems (GNSS) stations. (a) The M w  6.6 Lushan earthquake of 20 April 2013. (b) The M w  6.1 Jinggu earthquake of 7 October 2014. (c) The M w  6.5 Jiuzhaigou earthquake of 8 August 2017. The yellow star
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Comparison between Global Navigation Satellite Systems (GNSS) station 0550 and collocated strong‐motion (SM) accelerometer station MYG011 time series during the 2011 Mw 9.1 Tohoku‐Oki earthquake. (a) SM station MYG011 acceleration time series. (b) GNSS station 0550 displacements (black) compared with displacements from twice‐integrated SM records at MYG011. The darkest blue line shows the twice‐integrated SM accelerometer record, with no filtering applied. Remaining waveforms show the accelerometer‐derived displacements subject to high‐pass filters with various corner frequencies. The accelerometer‐derived waveform high‐pass filtered to 0.001 Hz (1000 s) records the most similar maximum displacement to the GNSS ground truth but does not remove enough long‐period signal to avoid unphysical drift later in the waveform and will presumably exceed the true maximum displacement beyond the 200 s shown.

Comparison between Global Navigation Satellite Systems (GNSS) station 0550 ...

Published: 24 August 2021
Figure 1. Comparison between Global Navigation Satellite Systems (GNSS) station 0550 and collocated strong‐motion (SM) accelerometer station MYG011 time series during the 2011 M w  9.1 Tohoku‐Oki earthquake. (a) SM station MYG011 acceleration time series. (b) GNSS station 0550
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Global Navigation Satellite Systems (GNSS) stations managed by the OGS, making up the Friuli Regional Deformation Network (FReDNet) geodetic network (see Data and Resources). Black triangles indicate those that are collocated with the seismic stations. The GNSS stations ACOM, UDI1, TRIE, and ZOUF are included in the National Dynamic Network (RDN) of the Italian Military Geographical Institute. ZOUF is also part of European Reference Framework (EUREF) Permanent Network (EPN). The inset map shows position of the monitored area relative to Italy.

Global Navigation Satellite Systems (GNSS) stations managed by the OGS, mak...

Published: 10 March 2021
Figure 4. Global Navigation Satellite Systems (GNSS) stations managed by the OGS, making up the Friuli Regional Deformation Network (FReDNet) geodetic network (see Data and Resources ). Black triangles indicate those that are collocated with the seismic stations. The GNSS stations ACOM, UDI1
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Distribution of Global Navigation Satellite Systems (GNSS; triangles) and strong‐motion (squares) monitoring stations, hypocenters (dots), and centroid moment tensor (CMT solutions (focal mechanism plot) of five events used in this study. The hypocenter locations and CMT solution of these five events were determined by the Japan Meteorological Agency (JMA). The color version of this figure is available only in the electronic edition.

Distribution of Global Navigation Satellite Systems (GNSS; triangles) and s...

Published: 13 October 2020
Figure 1. Distribution of Global Navigation Satellite Systems (GNSS; triangles) and strong‐motion (squares) monitoring stations, hypocenters (dots), and centroid moment tensor (CMT solutions (focal mechanism plot) of five events used in this study. The hypocenter locations and CMT solution
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(a) Global Navigation Satellite Systems velocity solution, relative to North America (Altamimi et al., 2017), across the Mojave Desert region from Geodesy Advancing Geoscience and EarthScope products for continuous sites (red; Herring et al., 2016), Southern California Earthquake Center’s (SCEC’s) Crustal Motion Map for survey sites (blue; Shen et al., 2011, rotated from their Stable North America Reference Frame, SNARF, to the same Altamimi et al., 2017, definition of North America), and updated or new velocities for sites observed since by Funning (2016) and Funning, Terry, and Floyd (2019) within our region of interest (yellow; this study). Orange and green lines are mapped faults with evidence of displacement during the last 15 and 130 ky, respectively, from the U.S. Geological Survey (USGS) Quaternary Fault and Fold Database (USGS and California Geological Survey, 2006). The white line is the boundary of the Naval Air Weapons Station (NAWS) China Lake. (b) The profile, centered at the intersection of the Mw 6.4 and Mw 7.1 surface ruptures, shows the velocity gradient (mostly profile‐perpendicular, i.e., fault‐parallel, shear) across the region. The color version of this figure is available only in the electronic edition.

(a) Global Navigation Satellite Systems velocity solution, relative to Nort...

Published: 12 February 2020
Figure 1. (a) Global Navigation Satellite Systems velocity solution, relative to North America ( Altamimi et al. , 2017 ), across the Mojave Desert region from Geodesy Advancing Geoscience and EarthScope products for continuous sites (red; Herring et al. , 2016 ), Southern California
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Maps showing the distribution of Global Navigation Satellite Systems (GNSS) stations (white squares). The inset shows the location of the study region in South America.

Maps showing the distribution of Global Navigation Satellite Systems (GNSS)...

Published: 18 April 2018
Figure 1. Maps showing the distribution of Global Navigation Satellite Systems (GNSS) stations (white squares). The inset shows the location of the study region in South America.
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(a) Global Navigation Satellite Systems (GNSS) GeoRED Continuously Operating Reference Stations Network. Collocated instruments: 1, seismic station; and 2, meteorological sensor. (b) Global Navigation Satellite Systems/Global Positioning System (GNSS/GPS) GeoRED field stations network focused on tectonic geodesy. Enlarged box, field stations built for land‐subsidence analysis on the Sabana de Bogotá.The color version of this figure is available only in the electronic edition.

(a) Global Navigation Satellite Systems (GNSS) GeoRED Continuously Operatin...

Published: 14 February 2018
Figure 2. (a) Global Navigation Satellite Systems (GNSS) GeoRED Continuously Operating Reference Stations Network. Collocated instruments: 1, seismic station; and 2, meteorological sensor. (b) Global Navigation Satellite Systems/Global Positioning System (GNSS/GPS) GeoRED field stations network
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Global Navigation Satellite Systems (GNSS) baselines and corresponding waveforms for rover–base pairs. Each exhibits a clear S‐wave arrival. Traces are 2‐min long, beginning at the origin time, with black and gray representing the north and east components, respectively. All traces are on the same vertical scale, shown at right. The S wave takes ∼29  s to reach the surface at the epicenter (time marked with first gray vertical bar in each time series). At 32 s after the origin time, four of the baselines (bold lines in map) have exceeded the short‐term average/long‐term average (STA/LTA) threshold (time marked with second vertical bar in each time series). Arrows above each time series indicate STA/LTA picks. The approximate S‐ and P‐wavefronts at this time are shown in dashed gray lines. Rover–base pairs are AB22–AC59, AB22–AC37, AC17–AC37, AC17–AC23, AC27–AC59, AC47–AC59, AC18–PBAY, and AC18–AC47. The gray box contains the AC18–AC47 position time series with the respective STA/LTA time series below. The horizontal dashed line indicates the STA/LTA threshold. It is overcome twice, indicating the arrivals at AC18 and AC47, respectively.The color version of this figure is available only in the electronic edition.

Global Navigation Satellite Systems (GNSS) baselines and corresponding wave...

Published: 20 June 2017
Figure 2. Global Navigation Satellite Systems (GNSS) baselines and corresponding waveforms for rover–base pairs. Each exhibits a clear S ‐wave arrival. Traces are 2‐min long, beginning at the origin time, with black and gray representing the north and east components, respectively. All traces
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Position of the Global Navigation Satellite Systems permanent positions station and their distances from the epicenter (reference stations are considered for differential positioning processing only).

Position of the Global Navigation Satellite Systems permanent positions sta...

Published: 01 May 2014
Figure 1. Position of the Global Navigation Satellite Systems permanent positions station and their distances from the epicenter (reference stations are considered for differential positioning processing only).
Journal Article

Analysis of global navigation satellite system data along the Southern Gas Corridor and estimate of the expected displacements

Giuliana Rossi, Riccardo Caputo, David Zuliani, Paolo Fabris, Massimiliano Maggini, Panagiotis Karvelis
Published: 15 September 2020
Environmental Geosciences (2020) 27 (3): 117–141.
DOI: https://doi.org/10.1306/eg.01222019023
... the nominal pipeline life span of 50 yr. We analyze the available global navigation satellite system data and compare the results to the deformation patterns of the most significant faults affecting the area. We interpolated the sparsely available velocity vectors and calculated strain rate information, both...
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View PDF for article title, Analysis of <span class="search-highlight">global</span> <span class="search-highlight">navigation</span> <span class="search-highlight">satellite</span> <span class="search-highlight">system</span> data along the Southern Gas Corridor and estimate of the expected displacements
Add to Citation Manager for Analysis of <span class="search-highlight">global</span> <span class="search-highlight">navigation</span> <span class="search-highlight">satellite</span> <span class="search-highlight">system</span> data along the Southern Gas Corridor and estimate of the expected displacements
Journal Article

An iterative method for the accurate determination of airborne gravity horizontal components using strapdown inertial navigation system/global navigation satellite system

Shaokun Cai, Kaidong Zhang, Meiping Wu, Yangming Huang, Yapeng Yang
Journal: Geophysics
Published: 22 September 2015
Geophysics (2015) 80 (6): G119–G129.
DOI: https://doi.org/10.1190/geo2014-0063.1
...Shaokun Cai; Kaidong Zhang; Meiping Wu; Yangming Huang; Yapeng Yang ABSTRACT In strapdown inertial navigation system and global navigation satellite system-based airborne gravimetry, there is a circular problem between the navigation solution and the gravity vector estimation. On one hand...
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View PDF for article title, An iterative method for the accurate determination of airborne gravity horizontal components using strapdown inertial <span class="search-highlight">navigation</span> <span class="search-highlight">system</span>&#x2F;<span class="search-highlight">global</span> <span class="search-highlight">navigation</span> <span class="search-highlight">satellite</span> <span class="search-highlight">system</span>
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Add to Citation Manager for An iterative method for the accurate determination of airborne gravity horizontal components using strapdown inertial <span class="search-highlight">navigation</span> <span class="search-highlight">system</span>&#x2F;<span class="search-highlight">global</span> <span class="search-highlight">navigation</span> <span class="search-highlight">satellite</span> <span class="search-highlight">system</span>
Journal Article

Ready for Real Time: Performance of Global Navigation Satellite System in 2019 M w 7.1 Ridgecrest, California, Rapid Response Products

Dara E. Goldberg, Kirstie L. Haynie
Published: 26 January 2022
Seismological Research Letters (2022) 93 (2A): 517–530.
DOI: https://doi.org/10.1785/0220210278
...Dara E. Goldberg; Kirstie L. Haynie Abstract Global Navigation Satellite Systems (GNSSs) have undergone notable advancement in the last few decades, leading to the availability of a dataset with capabilities well beyond its original intended purpose. The proliferation of high‐rate (1 Hz or greater...
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View PDF for article title, Ready for Real Time: Performance of <span class="search-highlight">Global</span> <span class="search-highlight">Navigation</span> <span class="search-highlight">Satellite</span> <span class="search-highlight">System</span> in 2019 M w 7.1 Ridgecrest, California, Rapid Response Products
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Add to Citation Manager for Ready for Real Time: Performance of <span class="search-highlight">Global</span> <span class="search-highlight">Navigation</span> <span class="search-highlight">Satellite</span> <span class="search-highlight">System</span> in 2019 M w 7.1 Ridgecrest, California, Rapid Response Products
Includes: Supplemental Content