Earthquake source modelling by second degree moment tensors Petra Adamová Jan Šílený Geophysical Institute, Academy of Sciences, Prague, Czech Republic.

Slides:



Advertisements
Similar presentations
Time Domain Moment Tensor & Finite Fault Solution for the Aquila Earthquake (2009/04/06 01:32) Laura Scognamiglio and Elisa Tinti Preliminary results.
Advertisements

Fast determination of earthquake source parameters from strong motion records: Mw, focal mechanism, slip distribution B. Delouis, J. Charlety, and M. Vallée.
A Two-Step Time-Frequency Moment Tensor Inversion: Application to Mining Data Václav Vavryčuk 1, Daniela Kühn 2 1 Institute of Geophysics, Prague 2 NORSAR,
Group Velocity Dispersion Curves from Wigner-Ville Distributions Simon Lloyd 1, Goetz Bokelmann 1, Victor Sucic 2 1 University of Vienna 2 University of.
An estimate of post-seismic gravity change caused by the 1960 Chile earthquake and comparison with GRACE gravity fields Y. Tanaka 1, 2, V. Klemann 2, K.
Toward the next generation of earthquake source models by accounting for model prediction error Acknowledgements: Piyush Agram, Mark Simons, Sarah Minson,
Prague, March 18, 2005Antonio Emolo1 Seismic Hazard Assessment for a Characteristic Earthquake Scenario: Integrating Probabilistic and Deterministic Approaches.
A nearfield Tsunami warning system in Taiwan by unit tsunami method Po-Fei Chen 1, Yun-Ru Chen 2, Bor-Yaw Lin 1,3, Wu-Ting Tsai 2 1. Institute of Geophysics,
Geol 600 Notable Historical Earthquakes Finite fault rupture propagation rohan.sdsu.edu/~kbolsen/geol600_nhe_source_inversion.ppt.
March 7, 2008NGA-East 2nd Workshop1 RECENT DEVELOPMENTS IN STRONG MOTION SIMULATIONS FOR CEUS Paul Somerville and Robert Graves URS Pasadena MOTIVATION:
Recall the momentum equation:  ∂ 2 u i /∂t 2 = ∂ j  ij +f i, where f i is the body force term An earthquake source is usually considered slip on a surface.
Earthquake Seismology
Single station location Multiple station location
UNIVERSITY OF ATHENS Faculty of Geology and Geoenvironment Department of Geophysics and Geothermics A. Agalos (1), P. Papadimitriou (1), K. Makropoulos.
5: EARTHQUAKES WAVEFORM MODELING S&W SOMETIMES FIRST MOTIONS DON’T CONSTRAIN FOCAL MECHANISM Especially likely when - Few nearby stations, as.
Václav Vavryčuk Institute of Geophysics, Prague Origin of earthquake swarms in West Bohemia inferred from observations of non-doble-couple components in.
Focal Mechanism Solutions
Earthquake Focal Mechanisms
Double-difference earthquake relocation of Charlevoix Seismicity, Eastern Canada implication for regional geological structures Meng Pang.
Earthquakes Susan Bilek Associate Professor of Geophysics New Mexico Tech How to figure out the who, what, where, why… (or the location, size, type)
RAPID SOURCE PARAMETER DETERMINATION AND EARTHQUAKE SOURCE PROCESS IN INDONESIA REGION Iman Suardi Seismology Course Indonesia Final Presentation of Master.
Full-waveform approach for complete moment tensor inversion using downhole microseismic data during hydraulic fracturing Fuxian Song, M. Nafi Toksöz Earth.
1 Fault Dynamics of the April 6, 2009 L'Aquila, Italy Earthquake Sequence Robert B. Herrmann Saint Louis University Luca Malagnini INGV, Roma.
MARsite kickoff meeting December 19-20, 2012, Istanbul WP5 - TASK 2 Near real-time determination of the earthquake finite-fault source parameters and models,
Second degree moments – a tool for the fault plane detection?
Shear wave velocity structure estimation using surface waves of different wavelengths Petr Kolínský Department of Seismology Institute of Rock Structure.
The kinematic representation of seismic source. The double-couple solution double-couple solution in an infinite, homogeneous isotropic medium. Radiation.
MICRO-SEISMICITY AND FOCAL MECHANISMS IN THE MALÉ KARPATY MTS., SLOVAKIA Lucia Fojtíková, Václav Vavryčuk, Andrej Cipciar, Ján Madarás.
Physical interpretation of DC and non-DC components of moment tensors Václav Vavryčuk Institute of Geophysics, Prague.
INTERNAL TECTONIC STRUCTURE OF THE CENTRAL AMERICA WADATI-BENIOFF ZONE BASED ON ANALYSIS OF AFTERSHOCK SEQUENCES Aleš Špičák, Václav Hanuš, Jiří Vaněk.
IDENTIFICATION OF THE FAULT PLANE AND A SIMPLE 3D VISUALIZATION TOOL Petra Adamová, Jiří Zahradník Charles University in Prague
1 Cythera M6.7 earthquake (January 8, 2006) in southern Aegean: uneasy retrieval of the upward rupture propagation J. Zahradnik, J. Jansky, V. Plicka,
Institute of Geological & Nuclear Sciences Limited, P.O. Box 30368, Lower Hutt, New Zealand Ph: Russell Robinson & Rafael Benites Synthetic.
Complex earthquake directivity during the 2009 L’ Aquila mainshock Tinti E., Scognamiglio L., Cirella A., Cocco M., and A. Piatanesi Istituto Nazionale.
Quick fault-plane identification by a geometrical method: The M w 6.2 Leonidio earthquake, 6 January 2008, Greece and some other recent applications J.
NEW VERSION OF ISOLA SOFTWARE TO INVERT FULL WAVEFORMS INTO SEISMIC SOURCE MODELS Efthimios Sokos 1) and Jiri Zahradnik 2) 1) University of Patras, Greece.
Disputable non-DC components of several strong earthquakes Petra Adamová Jan Šílený.
LECTURE 6: SEISMIC MOMENT TENSORS
Large Earthquake Rapid Finite Rupture Model Products Thorne Lay (UCSC) USGS/IRIS/NSF International Workshop on the Utilization of Seismographic Networks.
The January 2010 Efpalio earthquake sequence in Western Corinth Gulf: epicenter relocations, focal mechanisms, slip models The January 2010 Efpalio earthquake.
High Resolution Finite Fault Inversions for M>4.8 Earthquakes in the 2012 Brawley Swarm Shengji Wei Acknowledgement Don Helmberger (Caltech) Rob Graves.
Václav Vavryčuk Rosalia Daví Institute of Geophysics, Academy of Sciences, Praha Seismic network calibration for retrieving accurate.
Ground motion simulations in the Pollino region (Southern Italy) for Mw 6.4 scenario events.
1 Cythera M6.7 earthquake (January 8, 2006) in southern Aegean: uneasy retrieval of the upward rupture propagation J. Zahradnik, J. Jansky, V. Plicka,
Recognizing Reflected Tremor Phases: Guidance from Synthetic Seismograms Amanda Klaus ESS 522 – Geophysical Data Analysis Final Project June 10, 2010.
Moment Tensor Inversion in Strongly Heterogeneous Media at Pyhasalmi Ore Mine, Finland Václav Vavryčuk (Academy of Sciences of the CR) Daniela Kühn (NORSAR)
Surface-wave Derived Focal Mechanisms in Mid-America R. B. Herrmann 1, C. J. Ammon 2 and H. M. Benz 3 1 Saint Louis University, 2 Pennsylvania State University,
HIGH FREQUENCY GROUND MOTION SCALING IN THE YUNNAN REGION W. Winston Chan, Multimax, Inc., Largo, MD W. Winston Chan, Multimax, Inc., Largo, MD Robert.
Anomalous Vp/Vs ratios in the focal zone of West/Bohemia earthquake swarms T. Fischer1,2, T. Dahm3 (1) Institute of Geophysics, Czech Academy of Sciences.
Cesca, Source inversion in mining environments AIM 2 nd annual meeting, , Institute of Geophysics, Academy of Sciences of the Czech Republic,
Focal mechanisms and moment tensors of micro-earthquakes in the Malé Karpaty (Little Carpathians) Mts., Slovakia Lucia Fojtíková 1, Václav Vavryčuk 2,
California Institute of Technology
1 Rosalia Daví 1 Václav Vavryčuk 2 Elli-Maria Charalampidou 2 Grzegorz Kwiatek 1 Institute of Geophysics, Academy of Sciences, Praha 2 GFZ German Research.
Alexandra Moshou, Panayotis Papadimitriou and Kostas Makropoulos MOMENT TENSOR DETERMINATION USING A NEW WAVEFORM INVERSION TECHNIQUE Department of Geophysics.
Seismic phases and earthquake location
MOMENT TENSOR INVERSION OF POSSIBLY MULTIPLE EVENTS AT REGIONAL DISTANCES Petra Adamová 1, Jiří Zahradník 1, George Stavrakakis 2 1 Charles University.
EPS207 Laboratory in Observational Seismology
Moment tensor inversion using observations of unknown amplification
California Institute of Technology
Václav Vavryčuk Institute of Geophysics, Prague
Philip J. Maechling (SCEC) September 13, 2015
Douglas Dreger, Gabriel Hurtado, and Anil Chopra
Douglas Dreger, Gabriel Hurtado, and Anil Chopra
High-Performance Computing (HPC) IS Transforming Seismology
SICHUAN EARTHQUAKE May 12, 2008
Slip pulse and resonance of Kathmandu basin during the 2015 Mw 7
Two M5 earthquakes in Corinth Gulf, January 2010
by J. Galetzka, D. Melgar, J. F. Genrich, J. Geng, S. Owen, E. O
by Satoshi Ide, Annemarie Baltay, and Gregory C. Beroza
by Naoki Uchida, Takeshi Iinuma, Robert M
Presentation transcript:

Earthquake source modelling by second degree moment tensors Petra Adamová Jan Šílený Geophysical Institute, Academy of Sciences, Prague, Czech Republic fax:

Introduction, motivation Finite source parameters from point source approximation Finite source parameters from point source approximation traditional modeling of slip on fault plane is more complicated 2 nd degree moments are adventageous alternative  size of the source, duration of the source process, average slip on the fault, etc.

Theory: second degree moment tensors First degree moment tensor representation: Second degree moment tensor representation (Taylor expansion up to degree two):

Second degree moments, Doornbos (1982) 1. Time derivative of the response function (1 parameter): temporal centroid – origin time of the finite extent source estimate Standard MT 2. Spatial derivative (3 parameters): spatial centroid position 3.Combination of temporal and spatial derivative (3 parameters) 4.Second time derivative (1 parameter): source duration From 3 and 4: rupture propagation along the fault 5.Second spatial derivative (6 parameters): geometrical characteristics of the source (source ellipsoid)

Application for better estimate of mechanism High non-DC component is reported for some strong events by seismological agencies (Harvard, USGS, SED) This component is often questionable (large events, tectonic origin)  it can be false due to unmodeled source finiteness (strong event is modeled as point source) the scalar moment underestimation in the agency solution  we will try to verify this hypothesis using synthetic test

Example of high non-DC component Izmit earthquake: agency solution (ETH) N P T Strike = 90 Dip = 72 Rake = -164 DC = 59 % CLVD = 41 % ISO = 0 % Date/Time: 99/ 8/17 0: 1:38 Latitude Longitude Mw= 7.52 Very high non-DC component

Synthetic test: configuration Green’s functions are computed by DWN method crustal model is identical for data and synthetics (Bulut et al., 2007) noise-free data

Rupture model (J. Burjánek) Unilateral rupture Fault size: 20 km x 10 km Scalar seismic moment: 1e18 Nm f = Hz Rupture velocity 2.8 km/sec

Inversion scheme Additional constraint: the volume of the focus is non-negative (McGuire et al., 2001, 2002)

Synthetic data unfiltered synthetic data demonstrating the source directivity: station SDL: direction perpendicular to the fault strike. station HER: ‘reverse’ direction station BAL: ‘forward’ direction

Results: exact data Common MT, f = Hz (3 rd order Butterworth filter) Strike = 93 Dip = 73 Rake = -178 DC = 78 % CLVD = 12 % V = 10 % Theoretical mechanism Strike = 90 Dip = 72 Rake = 180 DC = 100 % CLVD = 0 % V = 0 % P T N

Frequency test low-pass filtering as much as possible : low-pass 3rd order Butterworth filter with a low-cut off at 0.02 Hz high-pass filter as much as possible but to keep the 2 nd degree effects high-pass 3rd order Butterworth filter with a cut off at 0.1, 0.2, 0.3 and 0.4 Hz

Geometrical characteristics A – 0.1 Hz B – 0.2 Hz C – 0.3 Hz D – 0.4 Hz frequencies used in the inversion of 2 nd degree moments Optimum frequency range is up to 0.2 Hz Second spatial derivative, 6 parameters

MT refinement: exclusion of 2nd degree terms Refined MT: common MT without second degree terms Strike =93 Dip = 73 Rake =2 DC = 94 % CLVD = 4% V = 2 % Theoretical mechanism PT N P T N Strike = 90 Dip = 72 Rake = 180 DC = 100 % CLVD = 0 % V = 0 % Strike =93 Dip = 73 Rake =2 DC = 78 % CLVD = 12 % V = 10 %

Reconstructed mechanisms Hz Hz Hz Hz Left: the mechanism obtained by inverting data filtered outside Hz Right: mechanism from data corrected for the contribution of the 2 nd degree moments frequency used in the inversion of 2 nd degree moments Hz

Test of robustness a) source mislocation (1 km E, 1 km S, 2 km Z) larger error in depth than in the horizontal coordinates simulates smaller location precision larger error in depth than in the horizontal coordinates simulates smaller location precision b) inaccurate GF (less layers + deviation 10% in each layer) dashed line – simplified model noise in data ( % from the maximal amplitude) c) noise in data ( % from the maximal amplitude) during Experiments simulating inconsistencies during the data inversion

Geometrical characteristics Bold line – exact data A - mislocation of the hypocenter when evaluating Green’s function B - mismodeling of the velocity profile: the true 1-D model used to synthesize the data, simplified when evaluating Green’s function C - noisy data Second spatial derivative, 6 parameters

Propagation vectors Background: vertical projection of the source model: the moment density distribution of the unilaterally propagating rupture together with the 1 s, 2 s and 3 s isochrones. exact data (black) (a) hypocenter mislocation (b) the seismic velocity profile mismodeling (c) noisy data

Reconstructed mechanisms Left: the mechanism obtained by inverting data filtered outside Hz Right: mechanism from data corrected for the contribution of the 2 nd degree moments

Synthetic data vs. synthetic seismograms Black: synthetic data Upper gray: synthetic seismograms Lower gray: 2 nd degree terms station SDL: direction perpendicular to the fault strike. station HER: ‘reverse’ direction station BAL: ‘forward’ direction Frequency range Hz

Conclusions We removed false non-DC component from the data Scalar seismic moment is higher with 2 nd term than with only 1 st degree term Method of the second degree moments is perspective for applications