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Nils Holzrichter, Jörg Ebbing
Modelling the lithospheric structure of the Arabian Peninsula with satellite gravity gradients Nils Holzrichter, Jörg Ebbing Department of Geosciences, Kiel University
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GOCE for global and regional Moho
Global Moho from GOCE (GEMMA project, Reguzzoni et al. 2013) Moho depth (Hansen et al. 2007) Crust Moho => Lith. Mantle Base lithosphere =>
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GOCE for global and regional Moho
Moho depth (Hansen et al. 2007) Global Moho from GOCE (GEMMA project, Reguzzoni et al. 2013) Crust Moho => Lith. Mantle Base lithosphere =>
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Motivation „Local“ modelling of the crustal and upper mantle
structures accounting for all gravity gradients What is the density distribution and structure of the lithosphere? Does the use of full gravity gradients improve the modelling procedure?
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Motivation Steps in this project:
Took an old model fitted for Gzz as a starting point. Used gravity gradients in an orbit height of 225 km. Checked the local fit of Crust 1.0. Forward modelled the area to fit all gravity gradient components.
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Constraints and forerunner projects
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Additional (old) information
Hansen et al. 2007 Bouguer anomaly (EGM2008) Top Basement (Konert et al. 2001) Topography
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Seismological modelling result
Hansen et al. 2007 Hansen et al. 2007
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Moho depth by satellite gravity gradient inversion (Ebbing et al
Gzz=Full Z0=30 km Dr= 350 kg/m3
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Moho depth by satellite gravity gradient inversion (Ebbing et al
Gzz=Full Z0=30 km Dr= 350 kg/m3
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Modelling improvement with GOCE gravity gradients
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Input fields Topographic corrected gravity gradients in an orbit height of 225 km.
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Comparison to Crust 1.0 Crustal model (Crust 1.0) added to a simple LAB model to calculate modelled gradients. Laske et al.
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Crust 1.0 Measured fields Calculated fields
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From crustal thickness to full lithospheric model
Extension of the existing model to a full lithospheric model Correlation with seismic constraints Adjustment to all gravity gradients Modelling of data in 225 km orbit height
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The initial model had constant density layers: Base of the lithosphere
Gxx Gxz Gzz calculated measured Measured fields The initial model had constant density layers: Base of the lithosphere Isotherms: 1100, 900 and 700 degrees Celsius Moho Base middle crust and base upper crust Top basement 2700 2900 2700 2700 2930 2900 3000 3340 3300 3335 3280 3320 3285 3290 3310 3300
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Measured fields Calculated fields Gxx Gxz Gzz calculated measured 2700
2900 2700 2700 2930 2900 3000 3340 3300 3335 3280 3320 3285 3290 3310 3300 Calculated fields
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1 density gradient in crust
Modification 1 density gradient in crust 2700 3000 2900 3300 2930 3280 3285 3290 3275 Gxx Gxz Gzz calculated measured 3340 3335 3320 3310 Measured fields Calculated fields
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3 New deep lithosphere and updated Moho
Modification 2 Lower Crust 3 New deep lithosphere and updated Moho Gxx Gxz Gzz calculated measured Measured fields 2700 2700 2900 2900 3000 2900 3300 3280 3285 3290 3275 Calculated fields
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4 lateral crustal variation (Arabian Sea)
Modification 4 lateral crustal variation (Arabian Sea) 2700 3000 2900 3300 2930 3280 3285 3290 3275 Gxx Gxz Gzz calculated measured Measured fields Calculated fields
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Final maps Measured fields Calculated fields
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Final maps Measured fields Top Basement (Konert et al. 2001)
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Use of new density models
The density models are used to improve heat flow modelling and maturity maps of the area.
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Conclusions The full tensor gradient modelling add constraints to the density modelling which improve the result. The modelling shows lateral and vertical density variations in the crust. The non-diagonal components provide information about lateral density variations and the strike of the anomalous bodies
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Comparison to Crust 1.0 and GEMMA
Model 1: Moho (GEMMA/Crust) Model 2: Density variations (Crust 1.0) added to a simple LAB model to calculate modelled gradients. Moho of Crust 1.0 model Moho of GEMMA model Laske et al. M. Reguzzoni et al.
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GEMMA Moho Model fits the shape of some anomalies, but in general this model provides a poor fit, especially the amplitudes are too large.
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I2^(1/3) from measured signal I2^(1/3) from calculated signal
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