recipe of strong motion prediction

47
Recipe of strong motion Recipe of strong motion prediction prediction for future for future earthquakes earthquakes Seminar at Charles University, Prague, Czech September 5, 2003 Kojiro Irikura Kojiro Irikura Disaster Prevention Research Institute Kyoto University, Japan

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Seminar at Charles University, Prague, Czech September 5, 2003. Recipe of strong motion prediction. for future earthquakes. Kojiro Irikura Disaster Prevention Research Institute Kyoto University, Japan. - PowerPoint PPT Presentation

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Page 1: Recipe of strong motion prediction

Recipe of strong motion predictionRecipe of strong motion prediction

for future earthquakesfor future earthquakes

Seminar at Charles University, Prague, Czech September 5, 2003

Kojiro IrikuraKojiro Irikura

Disaster Prevention Research Institute

Kyoto University, Japan

Page 2: Recipe of strong motion prediction

Basic Ideas for Predicting Strong Ground MotBasic Ideas for Predicting Strong Ground Motionion

1. Characterized Source Model based on Waveform Inversion Results (Somerville et al., 1999; Miyakoshi et al., 2002)

2. Scaling Relations for the Outer Fault Parameters and Inner Fault Parameters (Somerville et al., 1999; Irikura and Miyake, 2001)

3. Estimation of the Parameters based on the Dynamic Asperity Source Model (Das and Kostrov, 1986; Boatwright, 1988)

4. Hybrid Simulation Method (Irikura and Kamae, 2000)

Page 3: Recipe of strong motion prediction

Source Characterization for Simulating Source Characterization for Simulating Strong Ground MotionStrong Ground Motion

Page 4: Recipe of strong motion prediction

Identification for Rupture and Asperity Area

(Somerville et al., 1999)

• More than 0.3 times the average slip of the whole fault.

• More than 1.5 times the average slip of the whole fault.

Rupture area

Asperity area

Removed area

0.02 0.04 0.06 0.07 0.09 0.07 0.07

0.07 0.27 0.12 0.19 0.11 0.16 0.02

0.00 0.65 0.44 0.27 0.39 0.12 0.24

0.00 0.46 0.56 0.82 0.49 0.45 0.21

0.14 0.39 0.27 0.38 0.06 0.39 0.17

0.00 0.36 0.22 0.19 0.20 0.00 0.00

0.4 0.5 0.6 0.7 0.9

Slip [m]

2km

2km

Page 5: Recipe of strong motion prediction

Characterized Source Model

0 0 0 0 0 0 0 0 0

0 0 0 0.18 0.18 0.18 0.18 0.18 0.18

0 0 0 0.51 0.51 0.51 0.51 0.18 0.18

0 0 0 0.51 0.51 0.51 0.51 0.18 0.18

0 0 0 0.18 0.18 0.18 0.18 0.18 0.18

0 0 0 0.18 0.18 0.18 0.18 0.18 0.18

Strike ; N280E

Dip ; 79

2km

2km

0.18 0.51

Slip [m]

Displacement (B.P.F. :2~10sec)

0 20km

20s

AZU MIN

IZU

AKU

MIY YOK

OHK

SEN

KMO

KUS

(2.24)(0.92)

(2.35)

(7.93)

(0.96)

(3.16)

(1.80)

(2.25)

(1.60)

(1.30)

( ) ; cmNS

Kagoshima(3/26)

Asperity area

Off-Asperity area

(Forward)AKU MIY

(Backward)

Page 6: Recipe of strong motion prediction

Asperity Area vs. Off-Asperity Area

Observation

Characterized Source Model

Asperity areaOff-Asperity area

AKU(NS-component)

(A)

(B)

(A)

(B)

CharacterizedSource Model

(A)

(B)

(NS-component)

(A)

(B)

5s

3.16

3.19

2.81

1.32

2.02

MIY(cm)

Backward site

(NS-component)

(A)

(B)

(B.P.F. :2~ 10sec) (B.P.F. :2~ 10sec)

Inversion

5s

7.86

5.09

5.30

5.33

2.15

(cm)

Forward site

(A)

(B)

AKU(NS-component)

Page 7: Recipe of strong motion prediction

What is characterized source model ? (1)What is characterized source model ? (1)- - simulation of broadband ground motion for simulation of broadband ground motion for

the 1997 Kagoshima-ken Hokuseibu earthquake -the 1997 Kagoshima-ken Hokuseibu earthquake -

Miyake et al. (2000)

Page 8: Recipe of strong motion prediction

The 1999 Kocaeli Earthquake

( Turkey)

Page 9: Recipe of strong motion prediction

GBZ 0.1-10.0 Hz SKR 0.1-10.0 Hz

Page 10: Recipe of strong motion prediction

1999 Taiwan Chi-Chi Earthquake1999 Taiwan Chi-Chi Earthquake

Total Slip:

Total Slip:

Horizontal

Page 11: Recipe of strong motion prediction
Page 12: Recipe of strong motion prediction

Strong motion generation areaStrong motion generation area is coincident with the area is coincident with the area of asperities characterized by the waveform inversionof asperities characterized by the waveform inversion

Somerville et al. (1999) and Miyakoshi et al. (2001)

Kamae and Irikura (1998, 2000), Kamae et al. (1999), and Miyak

e et al. (2001)

Page 13: Recipe of strong motion prediction

Relation between Relation between Rupture Area and MRupture Area and M00

Outer Fault Parameters

1

10

100

1000

10000

1.00E+24 1.00E+25 1.00E+26 1.00E+27 1.00E+28

Seismic Moment(dyne-cm)

Ru

ptu

re A

rea

(k

m^

2)

Kagoshima(3/26) YamaguchiIwate (Miyakoshi et al., 2000)Kobe (Sekiguchi et al, 2000)Kocaeli (Sekiguchi and Iwata, 2000)Chichi (Iwata and Sekiguchi, 2000)Tottori (Sekiguchi and Iwata, 2000)

Somervill et al. (1999)

Somerville et al. (1999) and Miyakoshi et al. (2001)

Relation between Relation between Combined Area of Combined Area of Asperities and MAsperities and M00

Inner Fault Parameters1

10

100

1000

10000

1.00E+24 1.00E+25 1.00E+26 1.00E+27 1.00E+28Seimic Moment(dyne-cm)

Co

mb

ine

d A

rea

of

As

pe

riti

es

(k

m^

2)

Kagoshima(3/26) YamaguchiIwate (Miyakoshi et al., 2000)Kobe (Sekiguchi et al, 2000)Kocaeli (Sekiguchi and Iwata, 2000)Chichi (Iwata and Sekiguchi, 2000)Tottori (Sekiguchi and Iwata, 2000)

Somervill et al. (1999)

Page 14: Recipe of strong motion prediction

Asperity Source ModelAsperity Source Model for Simulating for Simulating Strong Ground MotionStrong Ground Motion

Boatwright (1988)

Stress drop distribution

characterized 

Slip distribution given from kinematic inversion

Ground motion simulation

Source characterization

Page 15: Recipe of strong motion prediction

Asperity Source Model (Das and Kostrov, 1986)

Basic Equations

Da

R

r

D(x)

Da(x)

r<<R

2/12/10

0

4

4

aaRa

aRa

SvA

rvA

Seismic Moment

(Boatwright, 1986)2/1

2/30

20

7

167

16

SSM

RrM

aa

a

Stress Drop    (Boatwright, 1988) 

AccelerationSource- spectrum(Madariaga, 1977)

2/1

2

16

2/37

16

7

SaS

Moa

Rr

Moa

22 ,

0,0

rSRS

ba

a

Page 16: Recipe of strong motion prediction

Relation betweenRelation between Combined Asperity Size (Sa) Combined Asperity Size (Sa) and Total Rupture Area (S)and Total Rupture Area (S)

Inland crustal earthquake

入倉・三宅 (2001)

Sa: Combined Asperity AreaS: Total Fault Area

Sa/S = 0.22

Da: Average Slip on AsperitiesD: Average Slip on Total Fault

Da/D = 2.0(Somerville et al., 1999)

c: Average stress dropa: Stress drop on asperity

a

ca S

S

Page 17: Recipe of strong motion prediction
Page 18: Recipe of strong motion prediction

Dynamic rupture simulation for circular asperity models

A simple slip weakening model

Staggered grid finite difference method

Calculate time histories of slip-velocity, slip, and stress for a single and multiple circular asperity model

Compare the results between spontaneous and fixed rupture models

Our code ability is checked compared the results for the circular asperity model solved by Fukuyama and Madariaga (1998) using BIEM.

Page 19: Recipe of strong motion prediction

Parameters of asperity source model

S : Entire rupture area (= 400 km2)

Sa : Combined asperity area (= 0.22 S)

Sb : Background area (= S - Sa)

a: Stress drop on asperities

b: Stress drop on background area (-0.2b to +0.2b )

Dc : Critical slip (= 0.4 m)

Se : Strength excess for background area

(= 0.3afor spontaneous rupture model,

= 0 for fixed rupture velocity model)

x : Grid size for finite difference method

a

a 2.0

Page 20: Recipe of strong motion prediction

Asperity

Zone3

Zone2

Zone1

1 2 3 4 5 6 7 82km1km

Time-slip velocity at the position assigned from 1 to 8 in the right figure obtained from dynamic simulationsfor stress-drop ratio b /a = 0.0.

Page 21: Recipe of strong motion prediction

Slip Distribution forSingle and Double AsperityDasp: Average slip on asperityD : Average on total fault

Page 22: Recipe of strong motion prediction
Page 23: Recipe of strong motion prediction

Empirical Relation for Controlling Inner Fault Parameters - Acceleration Source Spectra (Ao) versus Seismic Moment(Mo) -

○ Inland Earthquake● Subduction-zone Earthquake

Ao∝Mo1/3

2

2

)(

2

47

0 4

aoAS

Mo

aara

vSa

SvA

Dan et al. (2001)

Page 24: Recipe of strong motion prediction

What parameters do we need to have for predicting strong ground motions from future earthquakes

1. Where is the source area of future earthquake ?

   Entire rupture area    Total seismic moment  → Outer fault parameters

2. Slip heterogeneity (Roughness) of faulting    Strong motion generation area

Asperities and stress drop on the asperities    Inner fault parameters

3. Extra important parameters    Rupture starting point, Rupture propagation pattern, Rupture velocity

Page 25: Recipe of strong motion prediction

Source Modeling based on the Recipe

Outer fault parameter Step 1: Fault Length(L) and Fault Width(W)

from geological and geomophological survey         → Fault Area(S)

Step 2: Average Stress Drop (c) from empirical relations       (e.g., about 3.0MPa for subduction earthquakes)

Step 3: Estimate Total Seismic Moment (Mo) from S and c

assuming a circular crack model→M8.1 & M8.4

5.15.10 7

16SM c

Page 26: Recipe of strong motion prediction

WWmaxmax for subduction earthquakes for subduction earthquakes

Hyndman et al. (1997)

South-West Japan Cascadia (half scale)

Page 27: Recipe of strong motion prediction

Shaw and Scholz (2001)

Scaling proposed Scaling proposed by Scholz (2002)by Scholz (2002)

Page 28: Recipe of strong motion prediction
Page 29: Recipe of strong motion prediction
Page 30: Recipe of strong motion prediction

Source Modeling based on the Recipe

Inner fault parameter (1)Step 4: Estimate Combined Asperity Area

from empirical relation Sa-S

→Assume Case 1: Sa/S = 0.3 and Case 2: Sa/S = 0.15

Step 5: Estimate Stress Drop a on Asperities

from multi-asperity model

    (e.g. , Case 1: a = 10.1 MPa for S/Sa=0.30 and

  Case 2 : a = 20.1 MPa for S/Sa=0.15)

Step 6: Estimate number of asperities

Step 7: Estimate Slip on each asperity

a

ca S

S

iai

a rCD

Page 31: Recipe of strong motion prediction
Page 32: Recipe of strong motion prediction

New Step 4: Acceleration source spectral-level Aoa from asperity area and Aob from background area area given by Madariaga (1977)

New Step 5: Ao ~ Aoa is assumed from the following relations

Source Modeling based on the Recipe

bbrb

aara

SvA

SvA

4

4

0

0

1

1

1 1

2

000

0

0

0

ab

a

a

b

a

ba

b

AAA

A

S

S

A

A

  New Step 7: Stress drop at asperity is estimated from the multi-asperity model

a

ca S

S

  New Step 6: Asperity area is estimated from Aoa, Mo and S

20

20

22

)(

)(

4

7ara

AS

MvS

0.8~0.95 from the empirical relation for inland earthquakes

Inner fault parameter (2)

From empirical relationship between Ao and Mo

Page 33: Recipe of strong motion prediction

Hybrid MethodHybrid Method

Page 34: Recipe of strong motion prediction

Are asperities repetitious ?

Some proofs: 1. Repetition of asperities from source inversion results the 1968 Tokachi-oki Earthquake and 1994 Sanriku-oki Earthquake 2. Coincidence of surface slip variation and locations of asperities the 1994 Landers earthquake and the 1999 Chi-chi earthquake

How to find the asperities ? 1. Surface slip distribution along active faults 2. Seismic activity: less active inside asperities and relatively more active surrounding the asperities 3. Reflected (scattered) waves: strong : less reflection (scattering) coefficients inside asperities and relatively high outside asperitie

s.

Page 35: Recipe of strong motion prediction

Repetition of Asperities

Spatial Distribution of Moment Releases during 1968 Tokachi-oki Earthquake and 1994 Sanriku-oki Earthquake

(Nagai et al., 2001)

Page 36: Recipe of strong motion prediction

Correlation between surface offsets measured along fault traced and asperities on fault segments during the 1992 Landers earthquake (Wald and Heaton, 1994)

Page 37: Recipe of strong motion prediction

98 active faults subject to fundamental survey in Japan

Earthquake Research Committee (1998)

Itoigawa Shizuoka tectonic line

Inland EarthquakeInland Earthquake

Page 38: Recipe of strong motion prediction

Fault Segmentation for Fault Segmentation for Itoigawa Shizuoka Tectonic Line (1)Itoigawa Shizuoka Tectonic Line (1)

Northern part and central part seem to be active simultaneously.

northern part

southern part

central part

Earthquake Research Committee (2001)

Page 39: Recipe of strong motion prediction

Northern part 1 26 km

Northern part 2 35 km

Central part 1 17 km

Central part 2 34 km

Total rupture length is set to 112 km.

Fault Segmentation for Fault Segmentation for Itoigawa Shizuoka TectItoigawa Shizuoka Tectonic Lineonic Line

Earthquake Research Committee (1998)

Page 40: Recipe of strong motion prediction

How to Evaluate Fault Width?How to Evaluate Fault Width?

Seismic activity and structure survey provide us upper/lower limit of seismogenic zone.

Earthquake Research Committee (2001)

Page 41: Recipe of strong motion prediction

Simulated Acceleration WaveformSimulated Acceleration Waveform

Earthquake Research Committee (2001)

Page 42: Recipe of strong motion prediction

Attenuation curve for PGA and PGVAttenuation curve for PGA and PGV

Earthquake Research Committee (2001)

PGAPGA PGVPGV

Page 43: Recipe of strong motion prediction

Prediction of Strong Ground Motion for Itoigawa-Shizuoka Tectonic-Line Fault Earthquake

↓PGV Attenuation-Distance Relation

Earthquake Research Committee (2002)

↑Ground Motion Simulation by

the Hybrid Method

Page 44: Recipe of strong motion prediction

Source Modeling of the Miyagi-ken-oki earthquake-Based on the Recipe of Strong Motion Prediction-

Comparison between observed and simulated velocity records at DKHB

Source Model for 1978 Miyagi-ken-oki earthquake

Page 45: Recipe of strong motion prediction

SyntheticObserved (NS)

SyntheticObserved (EW)

SyntheticObserved (NS)

SyntheticObserved (NS)

SyntheticObserved (EW)

SyntheticObserved (EW)

Pseudo Velocity Response Spectrum for the HypotheticalA1 Event (the 1978 Miyagi-ken Oki earthquakes)

Page 46: Recipe of strong motion prediction

Seismic Intensity Map Calculated for Hypothetical Miyagi-ken Oki Earthquake

Solid Circle: Questionnaire seismic intensity for the 1978 Miyagi-ken Oki earthquake

Page 47: Recipe of strong motion prediction

PGV-Distance Relation for the Hypothetical A1 Event (equivalent to the 1978 Miyagi-ken Oki earthquake)

Empirical relation by Shi and Midorikawa (1999)Solid line: average. Broken line: 1