kenneth w. hudnut u. s. geological survey pasadena, california

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QuickTime™ and a TIFF (Uncompressed) decompressor are needed to see this picture. Kenneth W. Hudnut U. S. Geological Survey Pasadena, California Southern California Earthquake Center --- Workshop on Tectonophysics of Southern California Caltech; Pasadena, California --- November 11, 2004 Southern California Regional Southern California Regional Tectonics - Tectonics - Constraints from Geodetic Data Constraints from Geodetic Data Courtesy of JPL

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Southern California Regional Tectonics - Constraints from Geodetic Data. Courtesy of JPL. Kenneth W. Hudnut U. S. Geological Survey Pasadena, California. Southern California Earthquake Center --- Workshop on Tectonophysics of Southern California - PowerPoint PPT Presentation

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Page 1: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Kenneth W. Hudnut U. S. Geological SurveyPasadena, California

Southern California Earthquake Center --- Workshop onTectonophysics of Southern California

Caltech; Pasadena, California --- November 11, 2004

Southern California Regional Southern California Regional Tectonics -Tectonics -

Constraints from Geodetic DataConstraints from Geodetic Data

Court

esy

of

JPL

Page 2: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

The Plate BoundaryThe Plate Boundary

• San Andreas system• Basin and Range• ECSZ & Walker Lane• Transverse Ranges• Borderlands

• Colorado Plateau, Sierra Nevada, Peninsular Ranges (and Baja California)

From Dickinson & Wernicke (1997, Geology)

?

Page 3: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

SoCal Regional TectonicsSoCal Regional Tectonics

• San Andreas fault and major subparallel faults; San Jacinto, Elsinore, etc. & The Big Bend

• Eastern California Shear Zone• Thrust fault systems; San Bernardino and

San Gabriel ranges, Los Angeles, etc.• Cross-faults; Garlock, Big Bear, Salton

Trough, Yorba Linda trend, etc.• Block rotations; Transverse Ranges, e.g.,

Santa Monica Mtns., Salton Trough, transition zones

• A little bit of everything - complicated

Page 4: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

Statement of ProblemsStatement of Problems

• Must understand complex fault interactions to attain a system-level understanding

• Some questions: How does the San Andreas fault interact with abutting and nearby structures? How do these secondary and tertiary structures interact with the San Andreas? How is the Big Bend influencing the region - has approach to frictional lock-up caused

bypasses such as the Eastern California Shear Zone and San Jacinto fault? How may ruptures propagate along these fault systems?

• Fundamental goals: Unique natural laboratory opportunity to capture large events and fault interaction

Tectonics; Stress interaction - static and also dynamic triggering Source physics; Fault and rock mechanics

• Hazards high due to proximity of faults to Los Angeles greater metro area

• Devise large experiments & additional new instrumentation (and obtain funds)

Page 5: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

San Andreas FaultSan Andreas Fault

• 35 mm/yr slip rate;• >70% of plate motion• 1685, 1812, 1857 eq’s

• Big Bend compression• 1971 Sylmar (M 6.7)• 1994 Northridge (M 6.7)

• SoCal is now heavily ‘wired’ - need more? What’s missing?

• Catalog; SCEC CMM3• ‘Natural laboratory’• Likely source of most future

‘Big Ones’• Southern SAF Interest Group

Page 6: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

CMM3 & future work:

• Integrate InSARwith GPS forvertical

defor-mation

rates

• Resolve rate dis-crepanciesbetween geologyand geodesy

SCEC Tectonic Geodesy

Page 7: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

Strike-Slip Rates from GeodesyStrike-Slip Rates from Geodesy

Courtesy ofB. Meade

Page 8: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

Recent ResultsRecent Results

Bennett et al., Geology 2004

San Andreas and San Jacinto variable & alternating slip rates

Anderson et al., BSSA 2003

San Andreas and San Jacinto rates are the same

Page 9: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

Examples of Differences in Rate

Garlock fault Geologic rate 7 +/- 2 mm/yr Geodetic rate 2 +/- 2 mm/yr Geodesy < Geology => weak lower crust

Eastern California Shear Zone Geologic rate summed over all faults is ~6 mm/yr Geodetic rate across ECSZ is ~10–12 mm/yr Geodesy > Geology => clustering or new higher tectonic rate?

Imperial Valley Geologic rate of 20 mm/yr Geodetic rate across valley of ~50 mm/yr => missing a major fault?

Sierra Madre – Cucamonga fault zone Geologic rate of 0.5 mm/yr Geodetic rate of a

Raymond fault Geologic rate of 1.5-4 mm/yr Geodetic rate of b

a + b ~ 6-8 mm/yr

Page 10: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

Alternating SlipAlternating Slip

• Peltzer et al., Geology 2001 Garlock fault and

ECSZ slip rate discrepancies can be explained by alternating activity between the two fault zones (over ~1000-yr. time scales)

May correspond to ECSZ clustering?

Page 11: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

Fault InteractionFault Interaction

• Emerging view of large events as a composite of sub-events or asperities

• Dynamic triggering• Static triggering

• Important to study analogous events

• Cascading rupture - order in chaos?

Bayarsayhan et al., 1996Kurushin et al., 1998

1857 San Andreas

1957 Gobi-Altay

Page 12: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

Understanding Temporal ChangesUnderstanding Temporal Changes

• Temporal variations do occur:

Clustering (e.g., Basin & Range, ECSZ, Asia)

Discrepant geological and geodetic rates

Sequences involving fault interaction (e.g., Joshua Tree - Landers - Big Bear - Hector Mine; Anatolian system, etc.)

Courtesy Anke Friedrich

Page 13: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

ECSZ Temporal VariationsECSZ Temporal Variations

• Savage et al. (2004) data re-analysis confirmed Hudnut et al. (2002) model for block breakaway in ECSZ

• How does ~1000-yr. temporal clustering in ECSZ relate (if at all) to ~100-yr. clustering along the San Andreas?

Hudnut et al., 2002

Page 14: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

Closure Rates from GeodesyClosure Rates from Geodesy

Courtesy ofB. Meade

Page 15: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

LA Deformation ObfuscationLA Deformation Obfuscation

• Bawden et al., 2002 Nature paper

• Seasonal variations in SCIGN data correlated with water table changes

• Removal of this noise enabled a refined velocity map for the urban area

Page 16: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

LA ContractionLA Contraction

• Must integrate many types of information

• Combine GPS with the deep fault geometry (from imaging and seismicity, etc.) and 3D structure

• Employ novel modeling methods D. Argus, JPL

FigureCourtesyof DonArgusand co-authors

Complex Problem:

Page 17: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

RotationsRotations

FigureCourtesyof ChrisSorlienand co-authors

Page 18: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

Uplifting Thoughts for the Future?Uplifting Thoughts for the Future?

• How fast are the mountains going up?

• Nikolaidis et al. vertical rates from SCIGN -suggest rate changes

Courtesy of R. Nikolaidis, UCSD dissertation

Page 19: Kenneth W. Hudnut       U. S. Geological Survey Pasadena, California

SummarySummary

• We can understand the SoCal fault system in all of its complexity, it’s just not going to be easy Pursue similar course longer, and more will continue

to be learned about deep geometry, activity, and overall geodynamics of the system

• We must understand the fault interactions if we are to predict aspects of future behavior within the SoCal fault system

• Much remains to be discovered about past evolution, and increasingly sophisticated models will help with interpretation of system dynamics