2006
DOI: 10.1016/j.pepi.2006.07.001
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Accurate assessment of 3D crustal velocity and density parameters: Application to Vesuvius data sets

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Cited by 12 publications
(15 citation statements)
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“…Based on our current results, the low density body is unlikely to represent the sill-like structure suggested byAUGER et al (2001) andNUNZIATA et al (2006). Our results are more in support of the C shaped negative velocity/density anomaly detected byTONDI and DE FRANCO (2006).…”
supporting
confidence: 78%
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“…Based on our current results, the low density body is unlikely to represent the sill-like structure suggested byAUGER et al (2001) andNUNZIATA et al (2006). Our results are more in support of the C shaped negative velocity/density anomaly detected byTONDI and DE FRANCO (2006).…”
supporting
confidence: 78%
“…negative density body inside the volcano edifice that is clearly visible in the c profile; -several negative density bodies around Mt. Vesuvius, which are mainly W and SE and which were also seen by TONDI and DE FRANCO (2006).…”
Section: Analyses Results and Discussionmentioning
confidence: 94%
“…2. Through a slight modification of equation (1) of Tondi and de Franco [2006], α is now inverted and optimized independently for each model parameter: αm=()GTCgg1boldGtrue(v0+normalΔvstrue)1(boldGTboldCitalicgg1g) …”
Section: Optimization Of the Velocity And Density Model With The Sequmentioning
confidence: 99%
“…As shown inFigure 5, each body is characterized by a point origin (the bottom left node) that is denoted as ρ 0 , and three density gradients in the x , y , z directions, with respect to this point. The expression that was derived by Pohánka [1988] for a polyhedral body with a density that is linearly dependent on some coordinates is used for the computation of the three components of the gravity field [ Tondi and de Franco , 2006]. The use of polyhedral bodies with linearly varying density allows us to appropriately match the density gradients with the shear velocity gradients during the sequential integrated modeling.…”
Section: Optimization Of the Velocity And Density Model With The Sequmentioning
confidence: 99%
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