s eismic wave p ropagation and i maging in c omplex media: a e uropean network

7
www.spice-rtn.org Mid-Term Review Meeting, February 13-14, Tutzing Seismic wave Propagation and Imaging in Complex media: a European network Yilong Qin Early Stage Researcher Host Institution: IPG, Paris Place of Origin: Beijing, China Appointment Time: Jan. 2005 Project: A SPICE synthetic dataset to benchmark global tomographic methods Task Groups: Planetary Scales Cooperation: Universitetet I Oslo, Norway University of Utrecht, Netherlands

Upload: erol

Post on 08-Jan-2016

23 views

Category:

Documents


1 download

DESCRIPTION

S eismic wave P ropagation and I maging in C omplex media: a E uropean network. Yilong Qin Early Stage Researcher Host Institution: IPG, Paris Place of Origin: Beijing, China Appointment Time: Jan. 2005 Project: A SPICE synthetic dataset to benchmark global tomographic methods - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: S eismic wave  P ropagation and  I maging in  C omplex media: a  E uropean network

www.spice-rtn.orgMid-Term Review Meeting, February 13-14, Tutzing

Seismic wave Propagation and Imaging in

Complex media: a European network

Yilong Qin Early Stage Researcher

Host Institution: IPG, ParisPlace of Origin: Beijing, ChinaAppointment Time: Jan. 2005

Project: A SPICE synthetic dataset to benchmark global tomographic methods

Task Groups: Planetary Scales

Cooperation: Universitetet I Oslo, Norway University of Utrecht, Netherlands

Yilong Qin Early Stage Researcher

Host Institution: IPG, ParisPlace of Origin: Beijing, ChinaAppointment Time: Jan. 2005

Project: A SPICE synthetic dataset to benchmark global tomographic methods

Task Groups: Planetary Scales

Cooperation: Universitetet I Oslo, Norway University of Utrecht, Netherlands

Page 2: S eismic wave  P ropagation and  I maging in  C omplex media: a  E uropean network

www.spice-rtn.orgMid-Term Review Meeting, February 13-14, Tutzing

Project ScopeBenchmark global surface-wave tomography

The different existing global tomographic methods result in different models of the Earth. To interpret the structure images in terms of the associated physical processes, it is important to understand in a quantitatively way the resolving properties of specific algorithms. Within SPICE project, we have decided to perform a benchmark experiment of global inversion algorithms using complete 3D synthetic seismograms for anisotropic model

The goal is to test how current imaging techniques are limited by approximations in theory and the inadequacy of data quality and coverage. Our set of synthetic seismograms will be made available to the community worldwide

Page 3: S eismic wave  P ropagation and  I maging in  C omplex media: a  E uropean network

www.spice-rtn.orgMid-Term Review Meeting, February 13-14, Tutzing

Main ResultsBench of benchmark:To make sure that the computation precision, data format, sampling rate, event and receiver distribution and etc are enough good for tomography test, we first construct one simple isotropic global model by inserting eight cylinders smoothly into the 1D earth model.

0� 9 0� 1 8 0� 2 7 0� 3 6 0�- 9 0�

0�

9 0�

0 1

0 2

0 3

0 4

0 5

0 6

0 7

0 8

0 9

1 0

1 1 1 2

1 3

1 4

1 5

1 6

1 7

1 8

1 9

2 02 1 2 2

2 3 2 4

2 52 6

2 7

0� 9 0� 1 8 0� 2 7 0� 3 6 0�- 9 0�

0�

9 0�

0� 9 0� 1 8 0� 2 7 0� 3 6 0�- 9 0�

0�

9 0�

PAYG OTAVTARABTDF

_HDC_KOD_AGDGUMO_TGY _MBO KOWA_FDF_TPX SACVPN IGJOHN_HYB _S JG_SRRCHTO _Q IZ COLMWAKE POHA

XMAS_PSI

TE IGLYUBABUS_TAM WSARRAYN MCSJ_KMI NAGO _OGS _H 2O_EVN DWPF_MDY_NDI _TBTSIWA _KBD _LTX_E IL _HKT_QUE _ENH _SSE _TKAGHAR _TUC _BECMAR J _BAR _MDTNHSC_HCH_N IL _O XFWMOK_A LQ_CSSKRIS _KSH _TTT_WDD_THR _PKD_LZH_M EB _T JN _KNB_SSY ER IPCMLA_TAB _AOBMALT GWDE_GAR_VSL

_BNG BOCO _CAY

_B JT ACSO_BMN_ARC_WUS_T IR_CAD GIGS _HRVAHID JFWS_NMR_WMQ_K IV RSSD_MDJ _HALSADO_BNI _RBN_M LR RAIONE 56 MAKZ _CBM_U LN_PSZ EYMN_FUR _NEW DRLN_H IA KAPOAKTK _SBD_PHCKURK_G SH_BHM _TLY _ADKNE54 _SMY_VOS _PET MOBC _EDM_UVABSEG _FFC SCHQ_NVS_MHV _EKBPRYA BMBC_ARU _S IT_KDCNE52 DLBC _FCC_MA2KONO_UPP

DBIC

_NRS_PMR_YAK YKW2_KMS _FRBDAWY BORG_SFJ_LVZ BILL _INKNRILARA 0

PATS_DAV PALU

_SCO _JMITIXI_R ES

_MBC _DAG_KBS

FUNAKWAJ _SDV

_A LE

MBAR PTGAKMBOMSKU

RIOBMNHK_NNACOCO

_A FI_LSZ BDFB SHELZOBOLBSA _PPT_PVCFITZ VAVAABPOTSUM _WRA

KNTN_JAY

CTAOMBWA_RER _RAR BRAS_LVCLB TB PTCNWARB CPUP_RPN

_LCONRFK _RAO TR INARMAWOOL STKA_SUR BBOO_CAN

TR IS_A IS TRQA

SEY1

PLCASNZO_TAUCOYCCRZF

_PA F

KAP I RCBR

_EFIHOPE_MCQ

ORCD

PMSACASY _DRV_MAW_SYO

DGAR _UGM ASCN

SNAA_TNV_DCC

QSPA

MARQ_PMG _HNR

_SPA

Realistic distribution of 27 sources Realistic Stations distribution (256)

Velocity anomaly modelComparison of seismogram between 3D model (red) and reference 1D model (black) for Event 9 and station FFC

Comparison between SEM and Normal modes to determiner the mesh

Page 4: S eismic wave  P ropagation and  I maging in  C omplex media: a  E uropean network

www.spice-rtn.orgMid-Term Review Meeting, February 13-14, Tutzing

Main ResultsInversion results(Sergei Lebedev and Jeannot Trampert)

The coverage of minor-arc paths Velocity model (Depth-independent)

The inversion velocity anomalies at 70kmThe inversion velocity anomalies at 670km

Page 5: S eismic wave  P ropagation and  I maging in  C omplex media: a  E uropean network

www.spice-rtn.orgMid-Term Review Meeting, February 13-14, Tutzing

OutlookTo fully validate methods with a challenging synthetic dataset where the true model is known, The final 3D anisotropic model consists 10 parameters (P-wave isotrpic average velocity, S-wave isotropic average velocity, Density, quality factor(Qmu), anisotropic parameter for vertically transverse anisotropic (xi, phi and eta) and the orientation of the crystal. The synthetic seismograms were generated using the Coupling Spectral Elements and Modal (CSEM)Solution

The 3D anisotropic model consists of: (1) the reference 1-D model consists of 6 layers which corresponds to D’’, lower lower mantle, upper lower mantle, transition zone, upper mantle and crust. (2) Deterministic parts(3) Random parts are defined as spherical harmonic component. (5) Filtered existing crustal modelThe final datasets:(1) Add noise to the seismgrams(2) Minimum period 25s(3) Not provide the accurate source moment tensor and location

Comparison between 100s, 50s and 25s seismograms

Page 6: S eismic wave  P ropagation and  I maging in  C omplex media: a  E uropean network

www.spice-rtn.orgMid-Term Review Meeting, February 13-14, Tutzing

Outlook

We are doing now:

1. Incorporating the subroutine of 3D anisotropic model into the SEM designing the mesh, and then begin to compute the final benchmark datasets

2. Global Waveform tomography using SEM

(1) Calculate partial derivative using normal modes

(2) Forward moleliing using CSEM

(3) Using great earthquake (Ms=8.0), about 33 events

(3) Invert 150s long-period seismogram

Page 7: S eismic wave  P ropagation and  I maging in  C omplex media: a  E uropean network

www.spice-rtn.orgMid-Term Review Meeting, February 13-14, Tutzing