crustal thickness and geodynamics of the western u.s. (new!!! brought to you by earthscope) anthony...
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Crustal Thicknessand Geodynamicsof the Western U.S.(NEW!!! Brought to You By EarthScope)
Anthony R. LowryDepartment of Geology, Utah State [email protected]
Thanks Also To:Philip Crotwell, University of South CarolinaJon Kirby, Curtin University, Perth, AustraliaMarta Pérez-Gussinyé, CSIC Barcelona, SpainChristine Puskas, University of UtahJoel Rackham, Utah State UniversityBob Smith, University of UtahChris Swain, Curtin University, Perth, Australia
Topography
Gravity
Seismic (Moho)
Heat Flow
3D Viscosity
• Just a bit on Isostatic Analysis
• Where Geodynamics (& Rheology) come into play…
• Crustal Thickness estimation from EarthScope Transportable Array (TA) seismometers
• Some likely geodynamical implications of western U.S. crustal thickness…
Isostasy
LocalIsostasy
€
gdzcolumn 1
∫ = ρgdzcolumn 2
∫
FlexuralIsostasy
Balance of vertical stressin a fluid “asthenosphere”
Equilibrium of horizontal and vertical stress for an elastic plate (or “lithosphere”) over a fluid “asthenosphere”
Isostatic Analysis:
Uses easily available data (gravity, topography)
Parameterized by flexural rigidity ( rheology)
Provides information about loads ( mass flux processes)
Topography &/or Bathymetry
Gravity or Geoid
Effective Elastic Thickness (Te)
Loads Mass Flux Processes:
Gravity & Topography reflect a complicated mix of all massflux processes… But if we can separate the loads from theirisostatic response, it narrows the field of candidate processes.
Surface Loads Erosion Deposition Fault Displacements Volcanic Construction
Subsurface Loads Thermal Variations Lithologic Variations Crustal Thickness (Lower Crustal Flow)
METHOD:Using equations for observed
topography h and geoid Nincluding:
the definition of surface load finite amplitude geoid calculation flexure of a thin elastic shell over a self-gravitating, viscous sphere
Then search for Te (& perhapsother parameters) that minimizethe difference between observed
& predicted coherence
Or equivalently, that minimize coherence of the load fields
EXAMPLE The Tharsis Rise, Mars:
Martian Topography:• Hemispheric “crustal dichotomy”• Tharsis rise ~ 5000 m elevation 20% of surface area
Martian Geoid:• 2000 m Tharsis anomaly (largest in solar system!)
Controversial Nature of Tharsis Rise:
Volcanic Construction?( Surface Load!)
Thermal/chemical buoyancy of a single
mantle plume?
[e.g., Willemann & Turcotte, 1982;Solomon & Head, 1982]
[e.g., Sleep & Phillips, 1979; Harder& Christensen, 1996; Harder, 2000]
Probably some combination of both!
“BEST ESTIMATE”
(i.e., minimum loadcorrelation)
• ~ 17 km volcanic extrusives
• ~ 12 km flexural deflection
• Small (~ 5%) internal load
Flexural Rigidityreflectsrheology, and hencedistributions of intraplate seismicity
Reflects both the geotherm and composition…
Te and Flow Rheology
A Geodynamical Application: Flat Slab Subduction
Many studiesemphasize buoyancy ofthe down-goingslab and/orvelocity of theover-riding upperplate as controlson subductiongeometry
But these are poorly correlatedwith slab dip inSouth America
Correlation of South American flat slab subduction with high Te near the trench suggeststhickness of viscous upper plate may controlsubductiongeometry!
Isostasy illuminates geodynamics…
The Problem:Recovery from synthetic data, from Pérez-Gussinyé et al. [2007]:
Kirby & Swain [G3, 2008] found poor recovery where sub-sampled wavelet load fields exhibit chance correlation
E.g., EARS receiver function estimates of crustal thickness [Crotwell & Owens, SRL, 2005]
http://www.seis.sc.edu/ears/index.html
Possible Solution:Use seismic datato independentlyconstrain internalmass fields
EarthScope sampling is promising, but
Receiver function compilations such as EARSare prone to outliers & errors
Receiver Function Estimates ofCrustal Thickness:
P Ps
Delay Time
• Deconvolve source-time function to get impulse response of phases converted at impedance boundaries
• Delay time between phase arrivals depends on crustal thickness and P- & S-velocity
• EARS uses iterative time-domain deconvolution [Ligorria & Ammon, BSSA, 1999]: well-suited to automation
P PsCrustMantle
P Ps PpPs
PpSsPsPs
Contribution of crustal thickness Hversus Vp/Vs ratio K to delay time isambiguous…
Resolve using reverberations, which have differing sensitivity to H and K
P Ps PpPs PpSs PsPs
Ps
PsPs
PpSs&
PpPs
H-K parametersthat predict the observed phase delay times intersect ata point inparameterspace
P Ps PpPs
PpSsPsPs
H–K Stacking: [Zhu & Kanamori, JGR, 2000]
Ps
PsPs
PpSs&
PpPs
Method stacksobserved amplitudes atdelay times predicted for each phase, for all earthquakes.
Max stackamplitude should reveal true crustal thickness &Vp/Vs ratio.
H–K Stacking: [Zhu & Kanamori, JGR, 2000]
P Ps PpPs
PpSsPsPs
(EARS H–K stack for station COR)
The Moho is not the only lithospheric impedancecontrast… And crustalthickness is not constant
EARS can yield extreme crustal thickness or unlikely changes over short distances.
The Problem:
(EARS H–K stack for station Y35)
Despite outliers, H & K have properties consistent with a fractal surface…
CrustalThickness
H
Vp/VsRatioK
Station TA.P10A (Central Nevada)
The semivarianceproperties can beused to estimatea “most likely” crustal thickness and Vp/Vs ratio byoptimal interpolationfrom nearby sites.
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Station TA.P10A (Central Nevada)Can also model gravity predictedby estimates…
And find a “most likely” model with uncertainties.
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Station TA.S16A (Central Utah)Gravity ModelLikelihood Filter
Optimal Interp.Likelihood Filter
Combined
Unlikely stack amplitude maxima aredownweighted using likelihood statistics
Station TA.P10A (Central Nevada)
Method removes outliers, provides a mapthat makes sense (with some exceptions)
The reliable (i.e.western) parts ofthe map confirm some already-known aspectsof western U.S.geodynamics &also suggest a few new interpretations…
EARS-derived Old refraction data
The reliable (i.e.western) parts ofthe map confirm some already-known aspectsof western U.S.geodynamics &also suggest a few new interpretations…
And interesting patterns show up in Vp/Vs
Raw EARS estimates Weighted stack estimates
Perhaps the most intriguingimplicationsarise from the gravity modelinghowever…