Evidence for active strike-slip faulting along the Eurasia-Africa convergence zone: Implications for seismic hazard in the southwest Iberian margin

Bartolomé, Rafael; Gràcia, Eulália; Stich, Daniel; Martínez-Loriente, S.; Klaeschen, Dirk; Mancilla, Flor de Lis; Iacono, Claudio Lo; Dañobeitia, Juanjo; Zitellini, Nevio

doi:10.1130/g33107.1

Cited by 45 publications

(51 citation statements)

References 20 publications

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“…The velocity model along profile P2 shows a number of south dipping low‐velocity anomalies that have been proposed to represent crustal‐scale faults [ Sallarès et al ., ], as previously identified in the area from MCS profiles [e.g., Gràcia et al ., ; Iribarren et al ., ; Rosas et al ., ; Terrinha et al ., ; Zitellini et al ., ; Bartolome et al ., ]. Some of them may correspond to reactivated inherited structures from the Jurassic transfer zone [ Terrinha et al ., ; Zitellini et al ., ; Duarte et al ., ; Sallarès et al ., Martínez‐Loriente et al ., ].…”

Section: Discussionsupporting

confidence: 92%

“…Basement‐affinity distribution map (i.e., geological domains) of the SW Iberian margin overlaid by (a) the bathymetric map from the SWIM compilation [ Zitellini et al ., ] and GEBCO digital atlas ( http://www.gebco.net/) with the main tectonic structures of the region [after Iribarren et al ., ; Zitellini et al ., ; Bartolome et al ., ; Martínez‐Loriente et al ., ]. White lines labeled P1 and P2 correspond to the WAS profiles acquired during the NEAREST‐SEIS survey [ Sallarès et al ., , ].…”

Section: Discussionmentioning

confidence: 99%

“…MCS data also reveal active deformation in the sedimentary sequence infilling the Horseshoe Abyssal Plain mainly due to WNW‐ESE dextral strike‐slip faults, which correspond to the westward continuation of the SWIM faults [e.g., Rosas et al ., , ; Terrinha et al ., ; Zitellini et al ., ; Bartolome et al ., ; Martínez‐Loriente et al ., ] (Figure a). The low‐velocity anomaly identified in the sedimentary sequence beneath OBS 19 (~212 km) (Figure ) spatially coincides with the location of Lineament South (LS), the most prominent of these strike‐slip faults [e.g., Bartolome et al ., ; Martínez‐Loriente et al ., ].…”

Section: Discussionmentioning

confidence: 99%

“…Moment tensor inversions of these earthquakes reveal WNW‐ESE‐trending nodal planes with a reverse and right‐lateral slip [ Geissler et al ., ]. The nucleation of earthquakes at these depths, combined with the structure and nature of the basement in different parts off SW Iberia based on combined WAS and gravity models [ Sallarès et al ., , ], suggests that they occur within the upper mantle [e.g., Stich et al ., ; Bartolome et al ., ]. Therefore, combining geological and geophysical information to infer the nature of the basement in each domain is a key aspect that needs to be taken properly into account to evaluate the regional seismic and tsunami hazard.…”

Section: Geological Setting Of the Sw Iberian Marginmentioning

confidence: 99%

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Seismic and gravity constraints on the nature of the basement in the Africa‐Eurasia plate boundary: New insights for the geodynamic evolution of the SW Iberian margin

et al. 2014

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We present a new classification of geological domains at the Africa-Eurasia plate boundary off SW Iberia, together with a regional geodynamic reconstruction spanning from the Mesozoic extension to the Neogene-to-present-day convergence. It is based on seismic velocity and density models along a new transect running from the Horseshoe to the Seine abyssal plains, which is combined with previously available geophysical models from the region. The basement velocity structure at the Seine Abyssal Plain indicates the presence of a highly heterogeneous, thin oceanic crust with local high-velocity anomalies possibly representing zones related to the presence of ultramafic rocks. The integration of this model with previous ones reveals the presence of three oceanic domains offshore SW Iberia: (1) the Seine Abyssal Plain domain, generated during the first stages of slow seafloor spreading in the NE Central Atlantic (Early Jurassic); (2) the Gulf of Cadiz domain, made of oceanic crust generated in the Alpine-Tethys spreading system between Iberia and Africa, which was coeval with the formation of the Seine Abyssal Plain domain and lasted up to the North Atlantic continental breakup (Late Jurassic); and (3) the Gorringe Bank domain, made of exhumed mantle rocks, which formed during the first stages of North Atlantic opening. Our models suggest that the Seine Abyssal Plain and Gulf of Cadiz domains are separated by the Lineament South strike-slip fault, whereas the Gulf of Cadiz and Gorringe Bank domains appear to be limited by a deep thrust fault located at the center of the Horseshoe Abyssal Plain.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Geological Setting Of the Sw Iberian Marginmentioning

confidence: 99%

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Seismic and gravity constraints on the nature of the basement in the Africa‐Eurasia plate boundary: New insights for the geodynamic evolution of the SW Iberian margin

et al. 2014

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“…[1][2][3][4], seismic and risk assessment [5][6][7][8][9][10][11], water resources and hydrogeological investigations [12][13][14][15][16], mineral exploration [17][18][19][20][21][22], and in the study of the structural or tectonic history of a region [23][24][25]. Most of the tectonic features are associated with straight linear elements (further denoted as -lineaments‖) on satellite images.…”

Section: Introductionmentioning

confidence: 99%

TecLines: A MATLAB-Based Toolbox for Tectonic Lineament Analysis from Satellite Images and DEMs, Part 1: Line Segment Detection and Extraction

Rahnama

Gloaguen

2014

Remote Sensing

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Abstract:Geological structures, such as faults and fractures, appear as image discontinuities or lineaments in remote sensing data. Geologic lineament mapping is a very important issue in geo-engineering, especially for construction site selection, seismic, and risk assessment, mineral exploration and hydrogeological research. Classical methods of lineaments extraction are based on semi-automated (or visual) interpretation of optical data and digital elevation models. We developed a freely available Matlab based toolbox TecLines (Tectonic Lineament Analysis) for locating and quantifying lineament patterns using satellite data and digital elevation models. TecLines consists of a set of functions including frequency filtering, spatial filtering, tensor voting, Hough transformation, and polynomial fitting. Due to differences in the mathematical background of the edge detection and edge linking procedure as well as the breadth of the methods, we introduce the approach in two-parts. In this first study, we present the steps that lead to edge detection. We introduce the data pre-processing using selected filters in spatial and frequency domains. We then describe the application of the tensor-voting framework to improve position and length accuracies of the detected lineaments. We demonstrate the robustness of the approach in a complex area in the northeast of Afghanistan using a panchromatic QUICKBIRD-2 image with 1-meter resolution. Finally, we compare the results of TecLines with manual lineament extraction, and other lineament extraction algorithms, as well as a published fault map of the study area.

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Sea Level and Climate

Harff

Flemming

Groh

et al. 2017

Submerged Landscapes of the European Continental Shelf

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Evidence for active strike-slip faulting along the Eurasia-Africa convergence zone: Implications for seismic hazard in the southwest Iberian margin

Cited by 45 publications

References 20 publications

Seismic and gravity constraints on the nature of the basement in the Africa‐Eurasia plate boundary: New insights for the geodynamic evolution of the SW Iberian margin

Seismic and gravity constraints on the nature of the basement in the Africa‐Eurasia plate boundary: New insights for the geodynamic evolution of the SW Iberian margin

TecLines: A MATLAB-Based Toolbox for Tectonic Lineament Analysis from Satellite Images and DEMs, Part 1: Line Segment Detection and Extraction

Sea Level and Climate

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