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Thermal structure of continental lithosphere from heat flow and seismic constraints: Implications for upper mantle composition and geodynamic models Claire Perry GEOTOP-UQAM-McGill, Montreal, Canada
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Stability of continental lithosphere
equilibrium between chemical and thermal buoyancy (e.g., Jordan 1979) ? δFe# δT 150 km Perry et al. GJI (2003); Forte & Perry Science (2000) Accurate lithospheric thermal models required (heat flow, crustal heat production)
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Introduction : Global Terrestrial Heat Loss
Pollack et al. (1993)
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Continental Heat Flow : example from Canadian Shield
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Heteogenity of Continents …
geological compositional link between surface geology and lateral variations in Qs Canadian Shield
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generic thermal model for all cratons ?
influence of temperature + composition on seismic velocity precise thermal model
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Thermal Structure of the Continental Lithosphere
Gung et al. (2003) variable seismic thickness d3 detected by tomography
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Presentation Outline Lithospheric thermal structure, upper mantle temperatures, and Pn velocity-temperature conversions from heat flow and seismic refraction studies The thermal boundary layer of continental lithosphere and average mantle temperatures from a geodynamic flow model How does continental heat production affect lithospheric and mantle temperatures ?
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Variables of Continental Thermal Structure Problem
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Variables of Continental Thermal Structure Problem
(Aavg~0.7 µWm-3) : distribution of radiogenic elements ? small (~0.02µWm-3)
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Archean Superior Province, Canada
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mechanical resistance of lithosphere
Heat Flow Data … Qs Tmoho correlation VP – T mechanical resistance of lithosphere
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Distribution of Radiogenic elements _____________
Differentiation Index: DI = <Asurf> Ac Province DI Slave Province 2.1±0.5 Superior Province 1.2±0.1 Trans-Hudson Orogen 1.1±0.2 Wopmay Orogen 2.3±0.1 Grenville Province 1.3±0.2 Appalachians 2.5±0.2 Perry et al. JGR 2006a
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Distribution of Radiogenic elements _____________ Differentiation
Index: DI = <Asurf> Ac Province DI Slave Province 2.1±0.5 Superior Province 1.2±0.1 Trans-Hudson Orogen 1.1±0.2 Wopmay Orogen 2.3±0.1 Grenville Province 1.3±0.2 Appalachians 2.5±0.2 Perry et al. JGR 2006a
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Crustal Model distribution of ACR in crustal columns
Moho temperature estimated using using k(T) LITH5.0 (Perry et al. GJI, 2002) + more recent data Hc, Pn Fixed Parameters : Qs, A0, k(T), Hc Free Parameter : Qm (constrained by xenolith + heat flow, A(z) constrained by Qm, Qs, Hc Principal unknown Qm
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Pn velocity
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Crustal Thickness
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Moho depth
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dV(Pn)/dT=-0.60x10-3 ± 10% kms-1K-1 (close to mineral physics
estimates)
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Average Cratonic Mantle Composition
Perry et al. JGR 2006b on-craton VP-T ≠ off-craton VP-T predicted/measured VP Qm≥ 12 mWm-2
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Preferred Mineralogical Composition : Superior upper-mantle
joint Qs + Pn lithospheric mantle composition + Qm Perry et al. JGR 2006b
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Conclusions – Part I Comparison of large-scale empirical geophysical data and in-situ experiments of mantle composition provide further confidence in mantle temperatures from seismic studies and heat flow Joint inversions of heat flow and seismic Pn velocity constrain : mantle mineralogical composition effects of water ? Average composition of cratonic mantle in southern Superior Province : ‘Proton’ or ‘Archon’ ? Superior crust was rejuvenated by Keweenawan rifting at 1.1 Ga – metasomatism ?
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Refine thermo-chem structure
Using V-T conversions + upper mantle temperature from heat flow ++ crustal models (test tomographic model) subcontinental mantle dynamics : Thermo-chemical structure of cratonic roots Refine thermo-chem structure
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Thermal Boundary Layer at the base of Continents
‘rheological’ thickness of continent
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Example from Kaapvaal xenoliths
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Model Geometry
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Oceanic vs. Continental Geotherms
δc depends on A (dT/dz)cond = O(dT/dz)a
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Effect of Heat Production
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Distribution of Heat Production
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Δt = 0.25 Ga
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Continental thickness from seismic tomography
d d from Nettles (2004)
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Continental thickness from seismic tomography
d d d from Nettles (2004)
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Continental Thermal Boundary Layer
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Lateral Temperature Anomalies
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Scaling Law for Average Mantle Temperature Θ
Sotin & Labrosse (1999) Total oceanic area, F
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Continental geometry and average mantle temperature
Perry, Jaupart & Tackley, in prep.
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Continent thermal structure and average mantle temperature
Perry, Jaupart & Tackley, in prep.
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Effect of crustal accretion on the mantle’s thermal history ?
Model Setup : To w d A D H To+ΔT Hm + Vo + A × Vc = Ct = Htotal × Vtotal Example Present-day Model : Example Archean Model : Htotal = 5 pW/kg Htotal = 10 pW/kg A = 300 pW/kg (~0.9μWm-3) A = 300 pW/kg RaH = 5 × RaH = 5 × 107
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Potential temperature
Today 1.0 0.5 0.0 Potential temperature Archean Same mean mantle temperature from two models after 1Ga
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Potential temperature
Today 1.0 0.5 0.0 Potential temperature Archean Vrms continent/Vrms max RaH
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Potential temperature
Today 1.0 0.5 0.0 Potential temperature Archean Tmanto~Tmant(t) A/H Tmanto>>Tmant(t) RaH
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Conclusions - II Lateral temperature anomalies between ocean/continent diminished as A increases Thickness of the thermal b.l. below continents depends strongly on A (A δ-) Average mantle temperature may be scaled as a function of the total oceanic area Implications for time evolution of mantle temperature Average mantle temperature (and heat flow) may not be have been significantly higher than today : Feedback between mantle & continents : Ra, Acont
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