2017
DOI: 10.1016/j.pepi.2017.06.013
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Crust and upper mantle shear wave structure of Northeast Algeria from Rayleigh wave dispersion analysis

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Cited by 11 publications
(3 citation statements)
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“…This heat flow is higher than observed in typical active fold and thrust belts around the world (Booth‐Rea et al., 2008; Lucazeau, 2019; Morgan & James, 1989). Furthermore, lithospheric thickness shows a strong decrease from values above 180 km south of the Tunisian South Atlassic thrust and values around 140 (Globig et al., 2016) and probably less under the Southern Atlas STEP boundary where negative shear wave velocity anomalies are observed around 80–100 km depth (Radi et al., 2017). This relative thin lithospheric thickness in Tunisia is also accompanied by abundant hydrotermalism in the region (Dhia, 1987), mantle degassing (Fourré et al., 2011) and related high‐temperature Fe‐Zn‐Pb mineralizations (>190°C) since the late Miocene (e.g., Ben Aïssa et al., 2018; Benchilla et al., 2003; Decrée et al., 2008; Jemmali et al., 2014).…”
Section: Discussionmentioning
confidence: 99%
“…This heat flow is higher than observed in typical active fold and thrust belts around the world (Booth‐Rea et al., 2008; Lucazeau, 2019; Morgan & James, 1989). Furthermore, lithospheric thickness shows a strong decrease from values above 180 km south of the Tunisian South Atlassic thrust and values around 140 (Globig et al., 2016) and probably less under the Southern Atlas STEP boundary where negative shear wave velocity anomalies are observed around 80–100 km depth (Radi et al., 2017). This relative thin lithospheric thickness in Tunisia is also accompanied by abundant hydrotermalism in the region (Dhia, 1987), mantle degassing (Fourré et al., 2011) and related high‐temperature Fe‐Zn‐Pb mineralizations (>190°C) since the late Miocene (e.g., Ben Aïssa et al., 2018; Benchilla et al., 2003; Decrée et al., 2008; Jemmali et al., 2014).…”
Section: Discussionmentioning
confidence: 99%
“…It's of strong energy, slow attenuation and high signal-to-noise ratio. Rayleigh wave based exploration methods identify structures by estimating shear wave velocity, which is now widely applied in engineering cite selection (Beaty et al, 2002), cavity detection (Kaslilar et al, 2013), low-speed identification (Bao et al, 2015), seismic location (Jia et al, 2017), and crustal and mantle structure analysis (Radi et al, 2017;Zhang et al, 2021). Rayleigh wave exploration consists of three key steps, namely data acquisition, dispersion curves extraction and inversion.…”
Section: Introductionmentioning
confidence: 99%
“…Como as ondas Rayleigh e Love são sensíveisàs variações de velocidade no manto superior, ao medirmos a velocidade com a qual essas ondas se propagam, podemos obter informações sobre as variações de propriedades físicas da litosfera. As velocidades são determinadas a partir da análise dos registros feitos por estações para diferentes fontes sísmicas (Radi et al, 2017).…”
Section: Ondas De Superfície Dispersão E Modos Normaisunclassified