scholarly journals Joint estimate of the rupture area and slip distribution of the 2009 L’Aquila earthquake by a Bayesian inversion of GPS data

2017 ◽  
Vol 209 (2) ◽  
pp. 992-1003 ◽  
Author(s):  
G. Cambiotti ◽  
X. Zhou ◽  
F. Sparacino ◽  
R. Sabadini ◽  
W. Sun
Keyword(s):  
Slip Distribution ◽  
Bayesian Inversion ◽  
Gps Data ◽  
L’Aquila Earthquake ◽  
Rupture Area ◽  
Joint Estimate ◽  
2009 L’Aquila Earthquake

Coseismic slip distribution of 2009 L’Aquila earthquake derived from InSAR and GPS data

2012 ◽  
Vol 19 (1) ◽  
pp. 244-251 ◽  
Author(s):  
Yong-zhe Wang ◽  
Jian-jun Zhu ◽  
Zi-qiang Ou ◽  
Zhi-wei Li ◽  
Xue-min Xing
Keyword(s):  
Slip Distribution ◽  
Gps Data ◽  
L’Aquila Earthquake ◽  
Coseismic Slip ◽  
2009 L’Aquila Earthquake

scholarly journals The 2009 L’Aquila earthquake coseismic rupture: open issues and new insights from 3D finite element inversion of GPS, InSAR and strong motion data

2015 ◽  
Vol 58 (2) ◽  
Author(s):  
Manuela Volpe ◽  
Simone Atzori ◽  
Antonio Piersanti ◽  
Daniele Melini
Keyword(s):  
Finite Element ◽  
Fault Plane ◽  
Numerical Models ◽  
Tectonic Setting ◽  
Strong Motion ◽  
Slip Distribution ◽  
Coseismic Deformation ◽  
L’Aquila Earthquake ◽  
Local Tomography ◽  
2009 L’Aquila Earthquake

<p>We present a Finite Element inverse analysis of the static deformation field for the M<sub>w</sub>= 6.3, 2009 L’Aquila earthquake, in order to infer the rupture slip distribution on the fault plane. An univocal solution for the rupture slip distribution has not been reached yet with negative impact for reliable hazard scenarios in a densely populated area. In this study, Finite Element computed Green’s functions were implemented in a linear joint inversion scheme of geodetic (GPS and InSAR) and seismological (strong motion) coseismic deformation data. In order to fully exploit the informative power of our dense dataset and to honor the complexities of the real Earth, we implemented an optimized source model, represented by a fault plane subdivided in variable size patches, embedded in a high-resolution realistic three-dimensional model of the Apenninic seismo-tectonic setting, accounting for topographic reliefs and rheological heterogeneities deduced from local tomography. We infer that the investigated inversion domain contains two minima configurations in the solution space, i.e. a single- and a double-patch slip distribution, which are almost equivalent, so that the available datasets and numerical models are not able to univocally discriminate between them. Nevertheless our findings suggest that a two high-slip patch pattern is slightly favoured.</p>

scholarly journals Coseismic deformation of the destructive April 6, 2009 L'Aquila earthquake (central Italy) from GPS data

2009 ◽  
Vol 36 (17) ◽  
Author(s):  
M. Anzidei ◽  
E. Boschi ◽  
V. Cannelli ◽  
R. Devoti ◽  
A. Esposito ◽  
...  
Keyword(s):  
Central Italy ◽  
Coseismic Deformation ◽  
Gps Data ◽  
L’Aquila Earthquake ◽  
2009 L’Aquila Earthquake

scholarly journals Stress and Burnout in Health-Care Workers after the 2009 L’Aquila Earthquake: A Cross-Sectional Observational Study

2017 ◽  
Vol 8 ◽  
Author(s):  
Antonella Mattei ◽  
Fabiana Fiasca ◽  
Mariachiara Mazzei ◽  
Stefano Necozione ◽  
Valeria Bianchini
Keyword(s):  
Health Care ◽  
Observational Study ◽  
Health Care Workers ◽  
L’Aquila Earthquake ◽  
Cross Sectional ◽  
Care Workers ◽  
2009 L’Aquila Earthquake

scholarly journals Long-term blood pressure changes induced by the 2009 L’Aquila earthquake: assessment by 24h ambulatory monitoring

2013 ◽  
Vol 36 (9) ◽  
pp. 795-798 ◽  
Author(s):  
Paolo Giorgini ◽  
Rinaldo Striuli ◽  
Marco Petrarca ◽  
Luisa Petrazzi ◽  
Paolo Pasqualetti ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Ambulatory Monitoring ◽  
L’Aquila Earthquake ◽  
2009 L’Aquila Earthquake ◽  
Pressure Changes ◽  
Earthquake Assessment

Slip Distribution of the 2020 Mw6.9 Samos Earthquake Using a Bayesian Approach

2021 ◽  
Author(s):  
Figen Eskikoy ◽  
Semih Ergintav ◽  
Uğur Dogan ◽  
Seda Özarpacı ◽  
Alpay Özdemir ◽  
...  
Keyword(s):  
Surface Deformation ◽  
Fault Plane ◽  
Source Parameters ◽  
Geodetic Data ◽  
Slip Distribution ◽  
Double Difference ◽  
Gps Data ◽  
Analysis Tool ◽  
Finite Fault ◽  
Continuous Gps

&lt;p&gt;On 2020 October 30, an M&lt;sub&gt;w&lt;/sub&gt;6.9 earthquake struck offshore&amp;#160;Samos Island. Severe structural damages were observed in Greek Islands and city of Izmir (Turkey). 114 people lost their lives and more than a thousand people were injured in Turkey. The earthquake triggered local tsunami. Significant seismic activity occurred in this region following the earthquake and ~1800 aftershocks (M&gt;1) were recorded by KOERI within the first three days. In this study, we analyze the slip distribution and aftershocks of the 2020 earthquake.&lt;/p&gt;&lt;p&gt;For the aftershock relocations, the continuous waveforms were collected from NOA, Disaster and Emergency Management Authority of Turkey (AFAD) and KOERI networks. The database &amp;#160;&amp;#160;was created based on merged catalogs from AFAD and KOERI. For estimating optimized aftershock location distribution, the P and S phases of the aftershocks are picked manually and relocated with double difference algorithm. In addition, source mechanisms of aftershocks M&gt;4 are obtained from regional body and surface waveforms.&lt;/p&gt;&lt;p&gt;The surface deformation of the earthquake was obtained from both descending and ascending orbits of the Sentinel-1 A/B and ALOS2 satellites. Since the rupture zone is beneath the Gulf of Kusadas&amp;#305;, earthquake related deformation in the interferograms can only be observed on the northern part of the Samos Island. We processed all possible pairs chose the image pairs with the lowest noise level.&lt;/p&gt;&lt;p&gt;In this study, we used 25 continuous GPS stations which are compiled from TUSAGA-Aktif in Turkey and NOANET in Greece. In addition to continuous GPS data, on 2020 November 1, GPS survey was initiated and the earthquake deformation was measured on 10 GNSS campaign sites (TUTGA), along onshore of Turkey.&lt;/p&gt;&lt;p&gt;The aim of this study is to estimate the spatial and temporal rupture evolution of the earthquake from geodetic data jointly with near field displacement waveforms. To do so, we use the Bayesian Earthquake Analysis Tool (BEAT).&lt;/p&gt;&lt;p&gt;As a first step of the study, rectangular source parameters were estimated by using GPS data. In order to estimate the slip distribution, we used both ascending and descending tracks of Sentinel-1 data, ALOS2 and GPS displacements. In our preliminary geodetic data based finite fault model, we used the results of focal mechanism and GPS data inversion solutions for the initial fault plane parameters. The slip distribution results indicate that earthquake rupture is ~35 km long and the maximum slip is ~2 m normal slip along a north dipping fault plane. This EW trending, ~45&amp;#176; north dipping normal faulting system consistent with this tectonic regime in the region. This seismically active area is part of a N-S extensional regime and controlled primarily by normal fault systems.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Acknowledgements&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;This work is supported by the Turkish Directorate of Strategy and Budget under the TAM Project number&amp;#160;2007K12-873.&lt;/p&gt;

scholarly journals Multi-Segment Rupture Model of the 2016 Kumamoto Earthquake Revealed by InSAR and GPS Data

2020 ◽  
Vol 12 (22) ◽  
pp. 3721
Author(s):  
Zhongqiu He ◽  
Ting Chen ◽  
Mingce Wang ◽  
Yanchong Li
Keyword(s):  
Field Investigation ◽  
Slip Distribution ◽  
Distribution Model ◽  
Coseismic Deformation ◽  
Gps Data ◽  
Coulomb Stress ◽  
2016 Kumamoto Earthquake ◽  
Kumamoto Earthquake ◽  
The 2016 Kumamoto Earthquake ◽  
Stress Changes

The 2016 Kumamoto earthquake, including two large (Mw ≥ 6.0) foreshocks and an Mw 7.0 mainshock, occurred in the Hinagu and Futagawa fault zones in the middle of Kyushu island, Japan. Here, we obtain the complex coseismic deformation field associated with this earthquake from Advanced Land Observation Satellite-2 (ALOS-2) and Sentinel-1A Interferometric Synthetic Aperture Radar (InSAR) data. These InSAR data, in combination with available Global Positioning System (GPS) data, are then used to determine an optimal four-segment fault geometry with the jRi method, which considers both data misfit and the perturbation error from data noise. Our preferred slip distribution model indicates that the rupture is dominated by right-lateral strike-slip, with a significant normal slip component. The largest asperity is located on the northern segment of the Futagawa fault, with a maximum slip of 5.6 m at a 5–6 km depth. The estimated shallow slips along the Futagawa fault and northern Hinagu fault are consistent with the displacements of surface ruptures from the field investigation, suggesting a shallow slip deficit. The total geodetic moment release is estimated to be 4.89 × 1019 Nm (Mw 7.09), which is slightly larger than seismological estimates. The calculated static Coulomb stress changes induced by the preferred slip distribution model cannot completely explain the spatial distribution of aftershocks. Sensitivity analysis of Coulomb stress change implies that aftershocks in the stress shadow area may be driven by aseismic creep or triggered by dynamic stress transfer, requiring further investigation.

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