The 12th June 2017 Mw = 6.3 Lesvos earthquake from detailed seismological observations

Papadimitriou, P.; Kassaras, I.; Κaviris, George; Tselentis, G‐Akis; Voulgaris, Nicholas; Lekkas, Efthymios; Chouliaras, G.; Evangelidis, Christos; Pavlou, Kyriaki; Kapetanidis, Vasilis; Karakonstantis, Andreas; Kazantzidou-Firtinidou, Danai; Fountoulakis, Ioannis; Millas, Christos; Spingos, Ioannis; Aspiotis, Theodoros; Moumoulidou, A.; Skourtsos, Emmanuel; Antoniou, Varvara; Andreadakis, Emmanouil; Mavroulis, Spyridon; Kleanthi, M.

doi:10.1016/j.jog.2018.01.009

Cited by 51 publications

(38 citation statements)

References 67 publications

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“…The stress inversion used 19 focal mechanisms (Figure 7; Mw ≥ 3.6; period 1-28 February 2017) indicating an extensional stress field (Figure 8) with the minimum principal stress axis σ3 oriented NNE-SSW (N196°E) and plunging almost horizontally (2°). A similar result for σ3 (N18°E, 3° plunge) was resolved by the SATSI ( [42]) procedure ( [32]), confirming the stability of our solutions.…”

Section: Stress Fieldsupporting

confidence: 83%

“…The extension increases also from north to south, from 20 mm/year in Lemnos to 29 mm/year in Chios (Figure 1; [1,2]) with respect to stable Europe. The extension is mostly accommodated by normal faults (e.g., [23,29,30]), including a large offshore fault between Lesvos and Chios ( Figure 1) that was activated during the 12 June 2017 M6.3 earthquake ( [31,32]).…”

Section: Introductionmentioning

confidence: 99%

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Coseismic Displacements from Moderate-Size Earthquakes Mapped by Sentinel-1 Differential Interferometry: The Case of February 2017 Gulpinar Earthquake Sequence (Biga Peninsula, Turkey)

et al. 2018

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We study the tectonic deformation from the February 2017 shallow earthquake sequence onshore Biga Peninsula (NW Turkey, NE Aegean region). We use InSAR interferograms (Sentinel-1 satellites) to identify the seismic fault (striking N110 • E) and seismological data (parametric data and Moment Tensor solutions from NOA and KOERI catalogues) so as to refine its geometry and kinematics using inversion techniques. Despite the moderate magnitudes of the main events of the sequence (5.0 ≤ M w ≤ 5.2), the total surface deformation is 2.2 fringes (or maximum 6.2 cm along LOS) and it is well visible with InSAR because of the shallow depth of the four main events (6-8 km) and the good coherence of the signal phase. Our geodetic inversion showed that the fault has normal-slip kinematics, dimensions of 6 by 6 km (length, width) and dips at 45 •. The InSAR data are fitted by a uniform slip of 28 cm. In addition, 429 earthquakes were relocated with the HypoDD software and the use of a 1-D velocity model. The dip-direction of the fault is not retrievable from InSAR, but a south-dipping plane is clear from seismology and the aftershocks distribution. The spatial distribution of relocated events indicates the activation of one fault with a rupture zone length of about 10 km, a result of the occurrence of off-fault aftershocks along strike the main rupture. A stress inversion using 20 focal mechanisms (M ≥ 3.6; NOA solutions) indicates that faulting accommodates a N196 • E extension. It is confirmed that moderate (5.0 ≤ M ≤ 5.2) shallow events can be traced in InSAR studies and can produce surface displacements that provide useful data in fault inversion.

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Section: Stress Fieldsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Coseismic Displacements from Moderate-Size Earthquakes Mapped by Sentinel-1 Differential Interferometry: The Case of February 2017 Gulpinar Earthquake Sequence (Biga Peninsula, Turkey)

et al. 2018

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“…On June 12, 2017 (12:28 GMT), a strong earthquake (Mw 6.3) struck Lesvos Island (Northeastern Aegean, Greece). Based on the preliminary seismological data provided by the University of Athens (Papadimitriou et al, 2017), the earthquake epicenter was located offshore southeastern Lesvos. The main shock was at depth of about 13 km and the fault plane solutions demonstrated a NW-SE striking and SW-dipping normal fault that constitutes the northern margin of the offshore Lesvos basin.…”

Section: Results and Conclusionmentioning

confidence: 99%

The Emergence of Social Media for Natural Disasters Management: A Big Data Perspective

Athanasis

Themistocleous

Kalabokidis

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Social media is rapidly emerging as a potential resource of information capable to support natural disasters management. Despite the growing research interest focused on using social media during natural disasters, many challenges may arise on how to handle the ‘big data’ problem: huge amounts of geo-social data are available, in different formats and varying quality that must be processed quickly. This article presents a state-of-the-art approach towards the enhancement of decision support tools for natural disaster management with information from the Twitter social network. The novelty of the approach lies in the integration of Geographic Information Systems (GIS) modeling outputs with real-time information from Twitter. A first prototype has been implemented that integrates geo-referenced Twitter messages into a Web GIS for wildfire risk management and real-time earthquake monitoring. Following a highly scalable architecture that relies on big data components, the proposed methodology can be applied in different geographical areas, different types of social media and a variety of natural disasters. The article aims at highlighting the role of social big data, towards a more sophisticated transfer of knowledge among civil protection agencies, emergency response crews and affected population.</p>

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“…Magnitude and moment were calculated at Mw6.4 and M0 = 4.402E+18 Nm respectively, and focal depth at 10 km. The aftershock spatial distribution Papadimitriou et al, 2015) revealed two clusters in the horizontal pane that occurred due to the accumulated stress at the tips of the strike-slip motion, while the vertical extent is constrained at ca. 12 km depth.…”

Section: The 2015 Lefkada Earthquakementioning

confidence: 99%

Earthquake Triggering Effect Scenarios During the 2014 Sequence in Cephalonia and 2015 Earthquake in Lefkada Broader Areas, Ionian Sea, Greece

et al. 2017

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The 12th June 2017 Mw = 6.3 Lesvos earthquake from detailed seismological observations

Cited by 51 publications

References 67 publications

Coseismic Displacements from Moderate-Size Earthquakes Mapped by Sentinel-1 Differential Interferometry: The Case of February 2017 Gulpinar Earthquake Sequence (Biga Peninsula, Turkey)

Coseismic Displacements from Moderate-Size Earthquakes Mapped by Sentinel-1 Differential Interferometry: The Case of February 2017 Gulpinar Earthquake Sequence (Biga Peninsula, Turkey)

The Emergence of Social Media for Natural Disasters Management: A Big Data Perspective

Earthquake Triggering Effect Scenarios During the 2014 Sequence in Cephalonia and 2015 Earthquake in Lefkada Broader Areas, Ionian Sea, Greece

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The 12th June 2017 Mw = 6.3 Lesvos earthquake from detailed seismological observations

Cited by 51 publications

References 67 publications

Coseismic Displacements from Moderate-Size Earthquakes Mapped by Sentinel-1 Differential Interferometry: The Case of February 2017 Gulpinar Earthquake Sequence (Biga Peninsula, Turkey)

Coseismic Displacements from Moderate-Size Earthquakes Mapped by Sentinel-1 Differential Interferometry: The Case of February 2017 Gulpinar Earthquake Sequence (Biga Peninsula, Turkey)

The Emergence of Social Media for Natural Disasters Management: A Big Data Perspective

Earthquake Triggering Effect Scenarios During the 2014 Sequence in Cephalonia and 2015 Earthquake in Lefkada Broader Areas, Ionian Sea, Greece

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The 12th June 2017 Mw = 6.3 Lesvos earthquake from detailed seismological observations