Abstract
For many practical applications, ranging from cadastre and engineering to scientific, GNSS locations must refer to a specific epoch in a known reference frame to establish a consistent spatial relationship between georeferenced features measured at different times. When an earthquake occurs, an effectively instantaneous coseismic offset in position is observed. This offset varies as a function of distance and direction from the earthquake’s rupture zone and depends on its type and magnitude. When GNSS is used to measure the position of a point after an earthquake, the result includes the coseismic displacement suffered by that point and this displacement must be removed to provide coordinates in the conventional epoch. When post-event GNSS observations are far from continuous GNSS monitoring stations, their coseismic displacements are unknown and must be estimated using surrounding continuous GNSS stations. Interpolation of coseismic displacements, however, is difficult unless a sufficiently dense continuous GNSS network exists, especially in the near-field. We present a methodology for estimating coseismic displacements in areas with low-density continuous GNSS coverage by using geophysical models in a hybrid (dynamic-kinematic) mode. We do this using elastic deformation of a spherical earth to constrain the overall coseismic displacement field without imposing the usual geodynamic constraints on fault slip distribution. Application of this methodology to the 2010 Maule and 2015 Illapel, Chile, earthquakes provides coseismic estimates on survey GNSS stations with rms (95% confidence interval) residuals of ~ 3 cm for Maule, and ~ 2 cm for Illapel. We also tested our models using InSAR and found that the models correctly predict the near-field deformation.
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References
Altamimi Z, Rebischung P, Métivier L, Collilieux X (2016) ITRF2014: a new release of the international terrestrial reference frame modeling nonlinear station motions. J Geophys Res Solid Earth 121:2016JB013098. https://doi.org/10.1002/2016JB013098
Báez JC, Leyton F, Troncoso C et al (2018) The Chilean GNSS network: current status and progress toward early warning applications. Seismol Res Lett 89:1546–1554. https://doi.org/10.1785/0220180011
Barnhart WD, Murray JR, Briggs RW et al (2016) Coseismic slip and early afterslip of the 2015 Illapel, Chile, earthquake: Implications for frictional heterogeneity and coastal uplift. J Geophys Res Solid Earth 121:6172–6191. https://doi.org/10.1002/2016JB013124
Bro R, De Jong S (1997) A fast non-negativity-constrained least squares algorithm. J Chemom 11:393–401
Dong J, Sun W, Zhou X, Wang R (2014) Effects of Earth’s layered structure, gravity and curvature on coseismic deformation. Geophys J Int 199:1442–1451. https://doi.org/10.1093/gji/ggu342
Dong J, Cambiotti G, Wen H et al (2021) Effects of discontinuities inside Earth models on coseismic deformations. Earth Planet Phys. https://doi.org/10.26464/epp2021010
Drewes H, Heidbach O (2012) The 2009 horizontal velocity field for South America and the Caribbean. In: Kenyon S, Pacino MC, Marti U (eds) Geodesy for planet earth. Springer, Berlin Heidelberg, pp 657–664
Dziewonski AM, Anderson DL (1981) Preliminary reference Earth model. Phys Earth Planet Inter 25:297–356
Fortes LPS, Costa SMA, Abreu MA et al (2012) Modernization and new services of the brazilian active control network. In: Kenyon S, Pacino MC, Marti U (eds) Geodesy for planet earth. Springer, Berlin, Heidelberg, pp 967–972
Ghilani CD, Wolf PR (2006) Adjustment computations. John Wiley & Sons Inc, Hoboken
Gómez DD, Piñón DA, Smalley R et al (2015a) Reference frame access under the effects of great earthquakes: a least squares collocation approach for non-secular post-seismic evolution. J Geod. https://doi.org/10.1007/s00190-015-0871-8
Gómez DD, Smalley R, Langston C et al (2015b) Co-seismic deformation of the 2010 Maule, Chile earthquake: Validating a least squares collocation interpolation. GeoActa 40:401
Gómez DD, Bevis M, Pan E, Smalley R (2017) The influence of gravity on the displacement field produced by fault slip. Geophys Res Lett. https://doi.org/10.1002/2017GL074113
Gómez DD, Bevis MG, Caccamise DJ (2022) Maximizing the consistency between regional and global reference frames utilizing inheritance of seasonal displacement parameters. J Geod 96:9. https://doi.org/10.1007/s00190-022-01594-0
Harris RA, Segall P (1987) Detection of a locked zone at depth on the Parkfield, California, segment of the San Andreas Fault. J Geophys Res Solid Earth 92:7945–7962. https://doi.org/10.1029/JB092iB08p07945
Hayes GP, Wald DJ, Johnson RL (2012) Slab1.0: a three-dimensional model of global subduction zone geometries. J Geophys Res Solid Earth. https://doi.org/10.1029/2011JB008524
Hayes GP, Moore GL, Portner DE et al (2018) Slab2, a comprehensive subduction zone geometry model. Science 362:58–61. https://doi.org/10.1126/science.aat4723
Ji C, Wald DJ, Helmberger DV (2002) Source description of the 1999 Hector Mine, California, earthquake, part I: Wavelet domain inversion theory and resolution analysis. Bull Seismol Soc Am 92:1192–1207
Jónsson S, Zebker H, Segall P, Amelung F (2002) Fault slip distribution of the 1999 Mw 7.1 hector mine, california, earthquake, estimated from satellite radar and GPS measurements. Bull Seismol Soc Am 92:1377–1389. https://doi.org/10.1785/0120000922
Klein E, Vigny C, Fleitout L et al (2017) A comprehensive analysis of the Illapel 2015 Mw8.3 earthquake from GPS and InSAR data. Earth Planet Sci Lett 469:123–134. https://doi.org/10.1016/j.epsl.2017.04.010
Kosari E, Rosenau M, Bedford J et al (2020) On the relationship between offshore geodetic coverage and slip model uncertainty: analog megathrust earthquake case studies. Geophys Res Lett 47:e2020GL088266. https://doi.org/10.1029/2020GL088266
Langer L, Ragon T, Sladen A, Tromp J (2020) Impact of topography on earthquake static slip estimates. Tectonophysics 791:228566. https://doi.org/10.1016/j.tecto.2020.228566
Lazecký M, Spaans K, González PJ et al (2020) LiCSAR: an automatic InSAR tool for measuring and monitoring tectonic and volcanic activity. Remote Sens 12:2430. https://doi.org/10.3390/rs12152430
Lieser K, Grevemeyer I, Lange D et al (2014) Splay fault activity revealed by aftershocks of the 2010 Mw 8.8 Maule earthquake, central Chile. Geology. https://doi.org/10.1130/G35848.1
Lin YN, Sladen A, Ortega-Culaciati F et al (2013) Coseismic and postseismic slip associated with the 2010 Maule Earthquake, Chile: Characterizing the Arauco Peninsula barrier effect: characterizing Arauco barrier effect. J Geophys Res Solid Earth 118:3142–3159. https://doi.org/10.1002/jgrb.50207
Maerten F, Resor P, Polland D, Maerten L (2005) Inverting for slip on three-dimensional fault surfaces using angular dislocations. Bull Seismol Soc Am 95:1654–1665. https://doi.org/10.1785/0120030181
Okada Y (1985) Surface deformation due to shear and tensile faults in a half-space. Bull Seismol Soc Am 75:1135–1154
Piñón DA, Gómez DD, Smalley R et al (2018) The history, state, and future of the argentine continuous satellite monitoring network and its contributions to geodesy in Latin America. Seismol Res Lett 89:475–482. https://doi.org/10.1785/0220170162
Plescia SM, Hayes GP (2020) Geometric controls on megathrust earthquakes. Geophys J Int 222:1270–1282. https://doi.org/10.1093/gji/ggaa254
Pollitz FF (1996) Coseismic deformation from earthquake faulting on a layered spherical Earth. Geophys J Int 125:1–14
Pollitz FF, Brooks B, Tong X et al (2011) Coseismic slip distribution of the February 27, 2010 Mw 8.8 Maule Chile earthquake: Chile earthquake coseismic slip. Geophys Res Lett. https://doi.org/10.1029/2011GL047065
Ragon T, Sladen A, Bletery Q et al (2019) Joint inversion of coseismic and early postseismic slip to optimize the information content in geodetic data: application to the 2009 Mw6.3 L’Aquila earthquake, central Italy. J Geophys Res Solid Earth 124:10522–10543. https://doi.org/10.1029/2018JB017053
Sánchez L, Drewes H (2016) Crustal deformation and surface kinematics after the 2010 earthquakes in Latin America. J Geodyn 102:1–23. https://doi.org/10.1016/j.jog.2016.06.005
Shrivastava MN, González G, Moreno M et al (2016) Coseismic slip and afterslip of the 2015 Mw 8.3 Illapel (Chile) earthquake determined from continuous GPS data. Geophys Res Lett 43:10710–10719. https://doi.org/10.1002/2016GL070684
Snay RA, Freymueller JT, Pearson C (2013) Crustal motion models developed for version 3.2 of the horizontal time-dependent positioning utility. J Appl Geod. https://doi.org/10.1515/jag-2013-0005
Snay RA, Freymueller JT, Craymer MR et al (2016) Modeling 3-D crustal velocities in the United States and Canada. J Geophys Res Solid Earth 121:5365–5388. https://doi.org/10.1002/2016JB012884
Snay RA, Saleh J, Pearson CF (2018) Improving TRANS4D’s model for vertical crustal velocities in Western CONUS. J Appl Geod. https://doi.org/10.1515/jag-2018-0010
Sobrero FS, Bevis M, Gómez DD, Wang F (2020) Logarithmic and exponential transients in GNSS trajectory models as indicators of dominant processes in postseismic deformation. J Geod 94:84. https://doi.org/10.1007/s00190-020-01413-4
Tomita F, Iinuma T, Ohta Y et al (2020) Improvement on spatial resolution of a coseismic slip distribution using postseismic geodetic data through a viscoelastic inversion. Earth Planets Space 72:84. https://doi.org/10.1186/s40623-020-01207-0
Tong X, Sandwell D, Luttrell K et al (2010) The 2010 Maule, Chile earthquake: Downdip rupture limit revealed by space geodesy: downdip Rupture Maule, Chile earthquake. Geophys Res Lett. https://doi.org/10.1029/2010GL045805
Vigny C, Socquet A, Peyrat S et al (2011) The 2010 Mw 8.8 Maule megathrust earthquake of central Chile. Monitored by GPS Science 332:1417–1421. https://doi.org/10.1126/science.1204132
Zhou J, Pan E, Bevis M (2019) A point dislocation in a layered, transversely isotropic and self-gravitating Earth Part I: Analytical dislocation Love numbers. Geophys J Int. https://doi.org/10.1093/gji/ggz110
Acknowledgements
We would like to thank Patricia Alvarado (Universidad Nacional de San Juan, UNSJ; INPRES), Jorge Emilio Russ, Hugo Baigorri (Instituto Nacional de Prevención Sísmica, INPRES), Alfredo Herrada (UNSJ), Arturo Curatola (Reserva Don Carmelo), Gustavo González (Fundación Arte y Ciencia), Minera Andina del Sol (Veladero mine), Austral Gold (Casposo mine), Parque Provincial Ischigualasto, Complejo Astronómico El Leoncito, CASLEO, Benjamin Brooks (U. Hawaii, Manoa), Adolfo García (Instituto Geográfico Nacional, IGN), Horacio Barrera (IGN), Francisco Ruiz and Jorge Sisterna (Instituto Geofísico-Sismológico Volponi). We would like to thank Xiaopeng Tong for providing the InSAR data for the Maule earthquake. We would like to thank Milan Lazecký for producing the interferogram for the Illapel earthquake as well as providing additional information regarding the precision of the LiCSAR dataset. We would also like to thank Associate Editor Anna Klos, reviewer Jeffrey Freymueller and two anonymous reviewers for their detailed and insightful comments that helped to improve this work.
Funding
This work has been supported by grants: Smalley acknowledges support from the NSF for the grants: RAPID: GPS Observations of Co- and Post-seismic Deformation in the Argentine Andes, Precordillera, and Sierras Pampeanas from the 16 Sep 2015, Mw 8.3, Illapel, Chile, Earthquake, NSF - EAR 1602764, and Collaborative Research: Great Earthquakes, Megathrust Phenomenology and Continental Dynamics in the Southern Andes, NSF - EAR-1118241, and the Center for Earthquake Research and Information, The University of Memphis; Gómez acknowledges support from the Instituto Geográfico Nacional de Argentina; Figueroa acknowledges support from the Instituto Geofísico-Sismológico Volponi; and Gómez, Figueroa, and Sobrero acknowledge support from the Division of Geodetic Science, School of Earth Sciences, The Ohio State University. This material is based on services provided by the GAGE Facility, operated by UNAVCO, Inc., with support from the National Science Foundation and the National Aeronautics and Space Administration under NSF Cooperative Agreement EAR-1724794.
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DDG developed the method in collaboration with MAF, FSS, and RS. RS, DDG, and FSS deployed the CGNSS and SGNSS stations in Argentina. MGB, DJC, and EK deployed the CGNSS and SGNSS stations in Chile. DDG, MAF, FSS, and RS wrote the manuscript. MAF and FSS created Figs. 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and Supplementary Figs. S1–S7. All authors edited the manuscript.
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Data are public and available through the websites of the Argentine IGN https://www.ign.gob.ar/NuestrasActividades/Geodesia/Ramsac/DescargaRinex, the Chilean Centro Sismológico Nacional http://gps.csn.uchile.cl/data/, the Instituto Brasileiro de Geografia e Estatística https://www.ibge.gov.br/en/geosciences/geodetic-positioning/geodetic-networks.html and through the UNAVCO Facility Archive. Surface displacement forward fields for Maule and Illapel (including co- and postseismic) are available through Github https://github.com/demiangomez/vel-ar. LiCSAR contains modified Copernicus Sentinel data (2015) analyzed by the Center for the Observation and Modeling of Earthquakes, Volcanoes and Tectonics (COMET). LiCSAR uses JASMIN, the UK’s collaborative data analysis environment (http://jasmin.ac.uk). The aftershock sequence to delimit the Maule rupture zone and other metadata was obtained from https://earthquake.usgs.gov/earthquakes/eventpage/official20100227063411530_30/executive. The aftershock sequence to delimit the Illapel rupture zone and other metadata was obtained from https://earthquake.usgs.gov/earthquakes/eventpage/us20003k7a/finite-fault. The Slab 1.0 model for South America was obtained from https://earthquake.usgs.gov/static/lfs/data/slab/models/. The Slab2 model for South America was obtained from https://doi.org/10.5066/F7PV6JNV.
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Gómez, D.D., Figueroa, M.A., Sobrero, F.S. et al. On the determination of coseismic deformation models to improve access to geodetic reference frame conventional epochs in low-density GNSS networks. J Geod 97, 46 (2023). https://doi.org/10.1007/s00190-023-01734-0
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DOI: https://doi.org/10.1007/s00190-023-01734-0