Characterization of crustal structure by comparing reflectivity patterns of wide-angle and near vertical seismic data from the Parnaíba Basin, Brazil

Lima, Marcus Vinicius Aparecido Gomes de; Stephenson, Randell; Soares, Joelson Lima; Fuck, Reinhardt A.; Araújo, Vitto César Miranda de; Lima, Flávio T.; Rocha, Fábio A S

doi:10.1093/gji/ggz227

Cited by 6 publications

(2 citation statements)

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“…The crustal velocity law obtained varies between 5.7 km/s and 7.1 km/s, without any variation from 37 km downwards and it is agree with the global average for platforms given by , the largest difference is the higher velocity at shallower depths up to 12 km observed in our predicted law. Nevertheless, the data available for Brazil (Soares et al, 2006;Lima et al, 2019) shows higher velocities at shallower depths (Figure 4.3b). All bibliography reviewed presents a similar pattern of velocity gradient with the depth; however, the crustal velocities at Cadiz Gulf • The Andes highlands: Considering the thicker crust under the Andes (up to ∼70 km), and the different velocity gradient due to their tectonic evolution (Beck and Zandt, 2002), we calculated another law for this region, considering the global average for orogens from , and active seismic studies in the region (Beck and Zandt, 2002;Oncken et al, 2003;.…”

Section: Sedimentary and Crustal Velocitiesmentioning

confidence: 93%

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New measurements of crustal and lithospheric thickness for the South American platform using the receiver function method, toward a 3D velocity model

Vera¹

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The present work is the result of my studies during the last four years. During this time, I have had the support of several institutions, colleagues, and friends to whom I would like to say thank you.First of all, I would like to thank my advisor, Ph.D. Marcelo Bianchi, for all the support, guidance, patience, constant encouragement, and friendship during all my Ph.D. Thank you for being the warm and critical person who I needed in the crucial moments, encouraging me to give my best. I also want to thank Professor Marcelo Assumpção for all his recommendations in the development of this work.To the members of the Brazilian Seismographic Network (RSBR) for the data provided and used in this work. A special thanks to the Seismology group of the University of São Paulo and the "3-Basins Project" team, who are in charge of the installation of the BL and XC subnets stations; and quality control of the data.To the San Calixto Observatory (OSC) and the Geophysics Institute of Peru (IGP), especially to their executive directors Gonzalo Fernández and Hernando Tavera respectively, for the data provided from the Bolivian and Peruvian stations, which have been processed in this work.To the Institute of Astronomy, Geophysics and Atmospheric Science, and all its staff, for the opportunity to realize my Ph.D. in its facilities as well as for the experience to develop an international internship in France. I thank Ph.D. Yvonne Font who I worked with the final part of this work, in the Geoázur Laboratory in Valbonne-France. Thanks to Hans Agurto-Detzel who introduced me to Yvonne and for all his support when I was in France.To CNPq, CAPES, and FAPESP for the financial support to develop this research.A special thank to the most important person in my life, my Mom, for the constant encouragement and presence despite the distance, for teaching me not to surrender despite the circumstances. Thanks Mom for all your support and love.To all my IAG colleagues for the good moments shared, especially the coffee afternoons and barbecues. A special thanks to the Seismology group for all the support during these years, specially to

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Section: Sedimentary and Crustal Velocitiesmentioning

confidence: 93%

“…• South American platform: we collected Brazilian available data of the central part (Soares et al, 2006) and northeastern region Lima et al (2019); we considered the averages for platforms given by ; and crustal velocity structures from the East European Craton (Starostenko et al, 2013), Siberian…”

Section: Sedimentary and Crustal Velocitiesmentioning

confidence: 99%