ESTIMATION OF EFFECTIVE STRESS ON ASPERITIES IN INLAND EARTHQUAKES CAUSED BY LARGE STRIKE-SLIP FAULTS AND ITS APPLICATION TO STRONG MOTION SIMULATION

Similar documents
SOURCE MODELING OF RECENT LARGE INLAND CRUSTAL EARTHQUAKES IN JAPAN AND SOURCE CHARACTERIZATION FOR STRONG MOTION PREDICTION

(Somerville, et al., 1999) 2 (, 2001) Das and Kostrov (1986) (2002) Das and Kostrov (1986) (Fukushima and Tanaka, 1990) (, 1999) (2002) ( ) (1995

CONTROLLING FACTORS OF STRONG GROUND MOTION PREDICTION FOR SCENARIO EARTHQUAKES

EFFECT OF RANDOM PARAMETERS IN SEMI-EMPIRICAL METHOD ON THE RESULTS OF GROUND MOTION PREDICTIONS

RECIPE FOR PREDICTING STRONG GROUND MOTIONS FROM FUTURE LARGE INTRASLAB EARTHQUAKES

PREDICTION OF STRONG MOTIONS FROM FUTURE EARTHQUAKES CAUSED BY ACTIVE FAULTS CASE OF THE OSAKA BASIN

A Prototype of Strong Ground Motion Prediction Procedure for Intraslab Earthquake based on the Characterized Source Model

Characterizing Earthquake Rupture Models for the Prediction of Strong Ground Motion

Estimation of Source Parameters of Mega-Fault Systems for Strong Ground Motion Prediction -Test Case: Arima-Takatsuki Fault Zone-

Scenario Earthquake Shaking Maps in Japan

STRONG GROUND MOTION PREDICTION FOR HUGE SUBDUCTION EARTHQUAKES USING A CHARACTERIZED SOURCE MODEL AND SEVERAL SIMULATION TECHNIQUES

Source modeling of hypothetical Tokai-Tonankai-Nankai, Japan, earthquake and strong ground motion simulation using the empirical Green s functions

Seismic hazard analysis of Tianjin area based on strong ground motion prediction

Di#erences in Earthquake Source and Ground Motion Characteristics between Surface and Buried Crustal Earthquakes

Recipe for Predicting Strong Ground Motion from Crustal Earthquake Scenarios

Simulation of Strong Ground Motions for a Shallow Crustal Earthquake in Japan Based on the Pseudo Point-Source Model

SOURCE MODELING OF SUBDUCTION-ZONE EARTHQUAKES AND LONG-PERIOD GROUND MOTION VALIDATION IN THE TOKYO METROPOLITAN AREA

EXAMINATION ON CONSECUTIVE RUPTURING OF TWO CLOSE FAULTS BY DYNAMIC SIMULATION

Challenges of Applying Ground Motion Simulation to Earthquake Engineering

Source characterization of induced earthquakes by the 2011 off Tohoku, Japan, earthquake based on the strong motion simulations

SPATIAL DISTRIBUTION OF STRONG GROUND MOTION CONSIDERING ASPERITY AND DIRECTIVITY OF FAULT

Strong Ground Motion Prediction of Future Large Earthquake from Niavaran Fault in Tehran, Iran by Finite Fault Method

3D waveform simlation in Kobe of the 1995 Hyogoken-Nanbu earthquake by FDM using with discontinuous grids

Scaling of characterized slip models for plate-boundary earthquakes

GROUND MOTION SPECTRAL INTENSITY PREDICTION WITH STOCHASTIC GREEN S FUNCTION METHOD FOR HYPOTHETICAL GREAT EARTHQUAKES ALONG THE NANKAI TROUGH, JAPAN

Scaling Relationships of Source Parameters of Inland Crustal Earthquakes in Japan based on Waveform Inversion of Strong Motion Data

BROADBAND STRONG MOTION SIMULATION OF THE 2004 NIIGATA- KEN CHUETSU EARTHQUAKE: SOURCE AND SITE EFFECTS


STRONG MOTION SIMULATION OF HYOGO-KEN NANBU (KOBE) EARTHQUAKE CONSIDERING BOTH THE HETEROGENEOUS RUPTURE PROCESS AND THE 3-D BASIN STRUCTURE

Examination of source-model construction methodology for strong ground-motion simulation of multi-segment rupture during 1891 Nobi earthquake

Scaling relations of seismic moment, rupture area, average slip, and asperity size for M~9 subduction-zone earthquakes

Effects of Surface Geology on Seismic Motion

CHARACTERIZING EARTHQUAKE SLIP MODELS FOR THE PREDICTION OF STRONG GROUND MOTION

Ground Motion Validation of the +3,- Kanto Earthquake Using the New Geometry of the Philippine Sea Slab and Integrated -D Velocity-Structure Model

LETTER Earth Planets Space, 57, , 2005

LONG-PERIOD GROUND MOTION SIMULATION OF OSAKA SEDIMENTARY BASIN FOR A HYPOTHETICAL NANKAI SUBDUCTION EARTHQUAKE

Long-period Ground Motion Simulation in Kinki Area. Nobuyuki YAMADA* and Tomotaka IWATA

Scenario Earthquake Shaking Maps in Japan

A STUDY ON SITE-SPECIFIC STRONG GROUND MOTION FOR SEISMIC RETROFIT DESIGN OF THE HANSHIN EXPRESSWAY LONG-SPAN BRIDGES IN OSAKA BAY AREA

Near-fault strong motion complexity of the 2000 Tottori earthquake (Japan) from a broadband source asperity model

RISKY HIGH-RISE BUILDINGS RESONATING WITH THE LONG-PERIOD STRONG GROUND MOTIONS IN THE OSAKA BASIN, JAPAN

High Acceleration Motions generated from the 2011 Pacific coast off Tohoku, Japan Earthquake

Modelling Strong Ground Motions for Subduction Events in the Wellington Region, New Zealand

PROBABILISTIC SEISMIC HAZARD MAPS AT GROUND SURFACE IN JAPAN BASED ON SITE EFFECTS ESTIMATED FROM OBSERVED STRONG-MOTION RECORDS

Fault Specific, Dynamic Rupture Scenarios for Strong Ground Motion Prediction

SOURCE PROCESS OF THE 2003 PUERTO PLATA EARTHQUAKE USING TELESEISMIC DATA AND STRONG GROUND MOTION SIMULATION

Synthetic Seismicity Models of Multiple Interacting Faults

Strong Ground Motion Evaluation in the Tokyo Metropolitan Area: The 1923 Kanto Earthquake and Future Subduction-Zone Earthquakes

Source model of the 2005 Miyagi-Oki, Japan, earthquake estimated from broadband strong motions

RELATIONSHIP OF SEISMIC RESPONSES AND STRENGTH INDEXES OF GROUND MOTIONS FOR NPP STRUCTURES

Tomotaka Iwata, l,* Ken Hatayama,1 Hiroshi Kawase,2 and Kojiro Irikura1

Effects of Surface Geology on Seismic Motion

ON NEAR-FIELD GROUND MOTIONS OF NORMAL AND REVERSE FAULTS FROM VIEWPOINT OF DYNAMIC RUPTURE MODEL

Long-period Ground Motion Characteristics of the Osaka Sedimentary Basin during the 2011 Great Tohoku Earthquake

MODELING OF HIGH-FREQUENCY WAVE RADIATION PROCESS ON THE FAULT PLANE FROM THE ENVELOPE FITTING OF ACCELERATION RECORDS

BROADBAND SOURCE MODEL AND STRONG MOTIONS

Long-period ground motion simulation in the Kinki area during the MJ 7.1 foreshock of the 2004 off the Kii peninsula earthquakes

Effects of Surface Geology on Seismic Motion

Figure Locations of the CWB free-field strong motion stations, the epicenter, and the surface fault of the 1999 Chi-Chi, Taiwan earthquake.

AMPLIFICATION CHARACTERISTICS OF K-NET, KIK-NET, AND JMA SHINDOKEI NETWORK SITES BASED ON THE SPECTRAL INVERSION TECHNIQUE

Mechanics of Earthquakes and Faulting

LONG-PERIOD SITE RESPONSE IN THE TOKYO METROPOLITAN AREA

Short Note Fault Slip Velocities Inferred from the Spectra of Ground Motions

Prediction of ground motion in the Osaka sedimentary basin associated with the hypothetical Nankai earthquake

GROUND MOTION TIME HISTORIES FOR THE VAN NUYS BUILDING

Damage Estimation of the Road Bridge Structure Using the Seismic Hazard map for BCM in Hokkaido, Japan

LONG-PERIOD GROUND MOTION CHARACTERISTICS IN OSAKA BASIN, WESTERN JAPAN, FROM STRONG MOTION RECORDS OF LARGE EARTHQUAKES

THEORETICAL EVALUATION OF EFFECTS OF SEA ON SEISMIC GROUND MOTION

Source Process and Constitutive Relations of the 2011 Tohoku Earthquake Inferred from Near-Field Strong-Motion Data

Surface Rupture Effects on Earthquake Moment-Area Scaling Relations

Outstanding Problems. APOSTOLOS S. PAPAGEORGIOU University of Patras

Some Problems Related to Empirical Predictions of Strong Motion

Effects of Surface Geology on Seismic Motion

Actual practices of seismic strong motion estimation at NPP sites

CHARACTERISTICS OF SOURCE SPECTRA OF SMALL AND LARGE INTERMEDIATE DEPTH EARTHQUAKES AROUND HOKKAIDO, JAPAN

Effects of Surface Geology on Seismic Motion

EARTHQUAKE OBSERVATION OF A LOW-RISE BUILDING

Source Characteristics of Large Outer Rise Earthquakes in the Pacific Plate

Spatial distribution of strong shaking near the 2-D source of large shallow New Zealand earthquakes

Japan Seismic Hazard Information Station

Earthquake stress drop estimates: What are they telling us?

CHARACTERISTICS OF NEAR-FAULT GROUND MOTION OF DHARAMSALA EARTHQUAKE OF 1986

Synthetic Near-Field Rock Motions in the New Madrid Seismic Zone

Earthquake Stress Drops in Southern California

Advanced School on Direct and Inverse Problems of Seismology

Tokyo, Japan,

Empirical Green s Function Analysis of the Wells, Nevada, Earthquake Source

Simulation of earthquake rupture process and strong ground motion

Fig.2 Map showing the source model and FD simulation areas for the Nankai and the Tonankai earthquakes and site locations.

ON SEISMIC MOTION NEAR ACTIVE FAULTS BASED ON SEISMIC RECORDS

SITE EFFECTS IN HIROSHIMA PREFECTURE, JAPAN DURING THE 2001 GEIYO EARTHQUAKE OF MARCH 24, 2001

Effects of Surface Geology on Seismic Motion

A METHOD FOR DETERMINING ASPERITY PARAMETERS PRODUCING SPECIFIC MAXIMUM GROUND MOTION

A Theoretical Omega-Square Model Considering the Spatial Variation in Slip and Rupture Velocity

STUDYING THE IMPORTANT PARAMETERS IN EARTHQUAKE SIMULATION BASED ON STOCHASTIC FINITE FAULT MODELING

Hitoshi Hirose (1), and Kazuro Hirahara (2) Abstract. Introduction

Scaling Laws. σ 1. σ = mean stress, which is needed to compute σ 0. η = percent strain energy released in eq. Introduction.

Simulation of Near-Fault Strong-Ground Motion Using Hybrid Green s Functions

A SEMI-EMPIRICAL METHOD USING A HYBRID OF STOCHASTIC AND DETERMINISTIC FAULT MODELS: SIMULATION OF STRONG GROUND MOTIONS DURING LARGE EARTHQUAKES

STRONG GROUND MOTIONS DURING THE 2011 PACIFIC COAST OFF TOHOKU, JAPAN EARTHQUAKE

Transcription:

ESTIMATION OF EFFECTIVE STRESS ON ASPERITIES IN INLAND EARTHQUAKES CAUSED BY LARGE STRIKE-SLIP FAULTS AND ITS APPLICATION TO STRONG MOTION SIMULATION Kazuo DAN, Takayoshi MUTO, Jun'ichi MIYAKOSHI, and Motofumi WATANABE Ohsaki Research Institute, Inc. Abstract Precise estimation of the effective stress on the asperities is essential for accurate strong motion prediction, but an estimation method has not been proposed for inland earthquakes caused by large strike-slip faults. Hence, we adopted two different methods to estimate the effective stress on the asperities. One was an estimation method based on the scaling law between the entire fault and the seismic moment proposed by Irikura and Miyake (2001) and on a circular crack model for evaluating the averaged stress drop. The other was an estimation method based on the model composed of a seismogenic layer and a visco-elastic basement proposed by Fujii and Matsu'ura (2000). We applied the estimates to strong motion simulation, compared the simulated peak ground velocities with those by the empirical attenuation relation by Si and Midorikawa (1999), and finally preferred the latter method. Introduction Strong motion pulses of about 1 second caused severe damage to structures in the 1995 Hyogo-Ken Nambu, Japan, earthquake of M JMA 7.3 (e.g., Tanaka et al., 1996; Editorial Committee for the Report on the Hanshin-Awaji Earthquake Disaster, 1998). For accurate strong motion prediction in a wide period range including these relatively short periods of 0.5 to 2 seconds, intensive studies have been carried out on characterized fault models, which are simple to capture the feature of the complexity of the fault rupture. In Japan, the asperity model proposed by Somerville et al. (1993) is often used as a characterized fault model for strong motion prediction (Earthquake Research Committee, 2004), and Irikura and Miyake (2001) compiled a procedure, called recipe for strong motion predication, for determining parameters of the characterized fault model. In the asperity model, the size of the asperity is proportional to the predominant period of the strong motion pulse (Miyatake, 1998), and the peak slip velocity on the asperity is proportional to the amplitude of the strong motion pulse (Matsushima and Kawase, 2000). The peak velocity is proportional to the effective stress (Brune, 1970), the effective stress on the asperity is almost equal to the stress drop on the asperity (Dalguer et al., 2002), and the stress drop on the asperity is evaluated by multiplying the averaged stress drop on the entire fault and the ratio of the entire fault area to the asperity area (Madariaga, 1979; Dan et al., 2002). Hence, the averaged stress drop on the entire fault or the effective stress on the asperity is a very important parameter for accurate prediction of the amplitude of the strong motion pulse.

Kanamori and Anderson (1975) applied the stress drop equation for a circular crack model derived by Eshelby (1957) to the relation between the entire fault area and the seismic moment to evaluate the averaged stress drop on the entire fault in large subduction earthquakes to be about 30 bars and the averaged stress drop on the entire fault in large inland earthquakes to be about 100 bars. Sato (1989) evaluated the averaged stress drop on the entire fault in large subduction and inland earthquakes in Japan to be about 50 bars. On the other hand, the scaling law of the entire fault area and the seismic moment changes between small earthquakes, where the rupture does not propagate to the upper and lower boundary of the seismogenic layer, and large earthquakes, where the rupture propagates to the upper and lower boundary of the seismogenic layer (Scholz, 1990). This change is that the seismic moment of large earthquakes is relatively larger for the area than that of small earthquakes. Watanabe et al. (1998) applied a semi-episoidal crack model to this scaling law, and explained this phenomenon by higher averaged stress drop of large earthquakes. Fujii and Matsu'ura (2000) introduced a model composed of a seismogenic layer and a visco-elastic basement, and explained this phenomenon by a constant averaged stress drop. Irikura and Miyake (2001) also discussed this change of the scaling law, and proposed a new scaling law for large inland earthquakes. However, they only showed the averaged stress drop on the entire fault and the effective stress on the asperities for small earthquakes after applying the stress drop equation for a circular crack model to the scaling law between the entire fault area and the seismic moment proposed by Somerville et al. (1999), but not for large earthquakes. Recently, Irikura and Miyake (2002) showed that the averaged stress drop on the entire fault is proportional to the 1/4 power of the seismic moment after applying the stress drop equation for a circular crack model to the new scaling law for large earthquakes. But, they also showed that the effective stress on the asperities is highest in the range of the moment magnitude M W of 6.6 to 6.8 and becomes rather smaller in the range of M W greater than 6.8 after they evaluated the effective stress on the asperities directly from the amplitudes of the strong motion pulses. These facts indicate that the averaged stress drop on the entire fault depends on the seismic moment while the effective stress on the asperities does not depend on the seismic moment and that a problem remains about the applicability of the stress drop equation for a circular crack model to large inland earthquakes where the rupture propagates to the upper and lower boundary of the seismogenic layer. In this paper, we adopted two different methods to estimate the effective stress on the asperities in large inland earthquakes, made two different characterized fault models based on these two different methods, carried out strong motion simulation, and compared the simulated peak ground velocities with those by the empirical attenuation relation by Si and Midorikawa (1999). The first method estimated the effective stress on the asperities based on the scaling law between the entire fault area and the seismic moment for large inland earthquakes proposed by Irikura and Miyake (2001) and on the stress drop equation for a circular crack model to evaluate the averaged stress drop on the entire fault as Irikura and Miyake (2002) did. In this model, the effective stress on the asperities is proportional to the 1/4 power of the seismic moment as mentioned above. The second method adopted the scaling law between the entire fault area and the seismic moment for large inland earthquakes based on the model composed of a seismogenic layer and a visco-elastic basement proposed by Fujii and Matsu'ura (2000). In this model, the averaged stress drop on the entire fault is constant as mentioned before, and the effective stress on the asperities is evaluated to be also constant based on this constant averaged stress drop. Procedure of determining parameters of the characterized fault model for strong motion prediction In this chapter, we explained the procedure of determining parameters of the

Figure 1. Procedure of determining parameters of the characterized fault model for strong motion prediction. characterized fault model for strong motion prediction, that is necessary for our study based on the two methods described in the previous chapter. In the recipe for strong motion prediction proposed by Irikura and Miyake (2001), consequently determined are causative faults, seismogenic zone, and locked area in Step 1, outer fault parameters (fault area, seismic moment, average slip, and short-period level) in Step 2, inner fault parameters (asperity area and slip and effective stress on the asperities) in Step 3, and other fault parameters (hypocenter, rupture propagation mode, and rupture propagation velocity) in Step 4, as shown in Figure 1.

Figure 2. Fault length and width of inland earthquakes caused by strike-slip faults (Wells and Coppersmith, 1994) Figure 2 shows the fault length L and width W of inland earthquakes caused by strike-slip faults (Wells and Coppersmith, 1994). The width is constant of about 15 km because of the thickness of the seismogenic layer for the fault length over about 30 km. Figure 2 also shows the following bilinear line proposed by Irikura and Miyake (2001) for modeling these data: W = 0.955L (L W /0.955) max (1) W max (W max / 0.995 L). Here, W max is assumed to be 17 km because Irikura and Miyake (2001) obtained W max =16.6 km from the data of the source inversion results complied by Somerville et al. (1999) and the data compiled by Wells and Coppersmith (1994) and W max =17.1 km from the data of the source inversion results except the thrust faults compiled by Somerville et al. (1999). Figure 3 shows the entire fault area and the seismic moment (Abe,1990; Wells and Coppersmith, 1994). Scaling laws between the fault area and the seismic moment are also drawn by the straight lines for σ=10 bars and σ=100 bars, calculated by the following equation for a circular crack model (Eshelby, 1957): σ = 7 M 0 (2) 16 (S / π ) 1.5. The entire fault area and the seismic moment is located between the two lines for σ=10 bars and σ=100 bars for M W under 7 and is closer to the line for σ=100 bars for M W over 7. Considering this change of the scaling law, Irikura and Miyake (2001) proposed to use equation (3), derived by Somerville et al. (1999), for small earthquakes with the seismic moment M 0 less than 7.5 10 25 dyne-cm and to use equation (4), derived by Irikura and Miyake (2001), for large earthquakes with M 0 larger than 7.5 10 25 dyne-cm. S[km 2 ]=2.23 10-15 (M 0 [dyne-cm]) 2/3 (3) M 0 < 7.5 10 25 dyne-cm S[km 2 ]=4.24 10-11 (M0[dyne-cm]) 1/2 (4) M 0 7.5 10 25 dyne-cm Figure 3 shows two lines of equations (3) and (4) by the broken line and the dotted line, respectively. The lower bound of M 0 is 3.5 10 24 dyne-cm according to Somerville et al. (1999), and the upper bound of M 0 is 8 10 27 dyne-cm according to Irikura and Miyake (2001).

Figure 3. Fault area and seismic moment of inland earthquakes caused by strike-slip faults (Abe, 1990; Wells and Coppersmith, 1994) and the empirical relation by Irikura and Miyake (2001). Figure 4. Fault area and seismic moment of inland earthquakes caused by strike-slip faults (Abe, 1990; Wells and Coppersmith, 1994) and the empirical relation by Fujii and Matsu'ura (2000). Irikura and Miyake (2001) showed that the averaged stress drop σ was 23 bars for equation (3) using equation (2), and Irikura and Miyake (2002) showed that the averaged stress drop σ became larger with M W and about 100 bars for M W of 8 using equation (2) again. On the other hand, Irikura et al. (2002) and Dan et al. (2002) showed that the effective stress σ asp on the asperity was calculated by the following equation (5) from the entire fault area S, the asperity area S asp, and the averaged stress drop σ: σ asp = S σ. (5) S asp Here, the effective stress σ asp on the asperity is assumed to be equal to the stress drop σ asp on the asperity (Dalguer et al., 2002). Since Somerville et al. (1999) obtained the empirical relation of S asp /S=0.22, the effective stress σ asp on the asperity is calculated to be 105 bars for σ=23 bars and to become larger with M 0 to be about 400 bars for M W of 8.

Scaling law of the outer fault parameters and evaluation of the effective stress on the asperities In the previous chapter, we showed the scaling law between the fault area and the seismic moment described in equation (3) for small earthquakes and in equation (4) for large earthquakes. On the other hand, Fujii and Matsu'ura (2000) explained this change of the scaling law by the visco-elastic basement bellow the seismogenic layer. The thick lines in Figure 4 show the scaling law of the following equation proposed by Fujii and Matsu'ura (2000): σ S 2 M 0 =. (6) as + bw max Here, a=0.14-1 km, b=1.0, S=L W max, and L 30 km. Fujii and Matsu'ura (2000) showed W max =12 km and σ=18 bars for plate-boundary inland earthquakes and W max =15 km and σ=31 bars for intra-plate inland earthquakes. Fujii and Matsu'ura (2000) noted that they applied equation (6) to intra-plate earthquakes while they had no evidence of the visco-elastic basement under the seismogenic layer in intra-plate zone. Figure 5 shows the averaged stress drop for equation (3) by Somerville et al. (1999) and for equation (4) by Irikura and Miyake (2001), evaluated by equation (2) for a circular crack model. It also shows the averaged stress drop for intra-plate inland earthquakes by Fujii and Matsu'ura (2000) as inland earthquakes in Japan are intra-plate earthquakes (e.g., Earthquake Research Committee, 1999). The averaged stress drop for equation (4) by Irikura and Miyake (2001) is found to become drastically large from about 20 bars to about 100 bars for large M W, while the averaged stress drop for equation (3) by Somerville et al. (1999) and for equation (6) by Fujii and Matsu'ura (2000) is constant of 23 bars and 31 bars, respectively. Figure 6 showed the effective stress on the asperities calculated by equation (5) from the averaged stress drop in Figure 5. Here, S asp /S in equation (5) is assumed to be constant of 0.22 based on the data obtained by Somerville et al. (1999) and Miyakoshi (2002). The effective stress on the asperities based on the scaling law by Fujii and Matsu'ura (2000) is found to be constant of 141 bars, while the effective stress on the asperities based on the scaling law by Irikura and Miyake (2001) is found to become larger with M W to be about 400 bars for M W of 8. In order to examine if the estimated effective stress on the asperities is consistent with strong motion records, we compared the short-period level (flat level of the acceleration source spectrum in the short-period range:dan et al., 2001) evaluated from the effective stress shown in Figure 6 with that evaluated from the variable-slip rupture models obtained by source inversion for inland earthquakes caused by strike-slip faults. The short-period level A is evaluated by the following equation from the effective stress on the asperities σ asp and the asperity area S asp : A=4 πr σ asp β 2, πr 2 =S asp. (7) Here, β is the S-wave velocity at the source, and the short-period seismic waves generated on the background are assumed to be negligible compared with those generated on the asperity. Figure 7 shows the short-priod level evaluated from the effective stress shown in Figure 6. Here, β is assumed to be 3.5 km/s. Also shown are the short-period level obtained from the variable-slip rupture models for the 1999 Kocaeli, Turkey, earthquake inverted by Sekiguchi and Iwata (2002) and for the 1997 Kagoshima-Ken Hokuseibu earthquake inverted by Miyakoshi and Petukhin (2002) and the short-period level for the four earthquakes caused by strike-slip faults obtained by Dan et al. (2001).

Figure 5. Averaged stress drop and seismic moment of inland earthquakes caused by strike-slip faults. Figure 6. Effective stress on the asperities and seismic moment of inland earthquakes caused by strike-slip faults. Here, S asp /S is assumed to be 0.22. Figure 7. Short period level and seismic moment of inland earthquakes caused by strike-slip faults. Here, S asp /S is assumed to be 0.22, and β is assumed to be 3.5 km/s.

The short-period level based on the scaling law by Fujii and Matsu'ura (2000) is consistent with that evaluated from the variable-slip rupture models, and the short-period level based on the scaling law by Irikura and Miyake (2001) and on the stress drop equation of a circular crack model is almost equal to that based on the scaling law by Fujii and Matsu'ura (2000) for M W of 7 while it is three times larger for M W of 8. Examples of the characterized fault models and strong motion simulation In this chapter, we carried out strong motion simulation from two different characterized fault models determined by a method based on the scaling law proposed by Irikura and Miyake (2001) and on the stress drop equation of a circular crack model for evaluating the averaged stress drop and a method based on the model composed of a seismogenic layer and a visco-elastic basement proposed by Fujii and Matsu'ura (2000). Actual strong motion simulation was performed for 160 km-long strike-slip fault composed of 6 segments. Here, we assumed two cases of asperity number according to Irikura and Miyake (2001): one asperity in each segment and two asperities in each segment. We located these asperities in the middle depth of the seismogenic layer because we compared the results of the strong motion simulation with the peak ground velocities calculated by the existing empirical attenuation relation. A method based on the scaling law by Irikura and Miyake (2001) and on the stress drop equation for a circular crack model Figures 8(a) and 8(b) show two examples of the characterized fault models determined by the method based on the scaling law proposed by Irikura and Miyake (2001) and on the stress drop equation for a circular crack model. Here, the fault width is assumed to be 17 km according to Irikura and Miyake (2001), the S-wave velocity in the seismogenic layer 3.5 km/s, and the density 2.7 g/cm 3. The entire fault area is 2,720 km 2, M W 7.7, the effective stress on the asperities 321 bars, and the averaged slip on the largest asperity 1,020 cm in the model with one asperity in each segment and 1,245 cm in the model with two asperities in each segment. The total seismic moment is distributed into each segment proportionally to the square of the segment area based on equation (4). Figure 8(c) and 8(d) show peak ground velocities on the engineering bed rock (S-wave velocity 600m/s) simulated by the stochastic Green's function method. Figure 8(c) is the result for the characterized fault model with one asperity in each segment, and Figure 8(d) is the result for the characterized fault model with two asperities in each segment. Here, the stochastic Green's function method was taken from Dan et al. (2000). The stochastic Green's functions were generated for the SH-wave and the SV-wave with the hypocenter at the center of the fault. The radiation pattern was assumed to be theoretical one in the frequency range below 3 Hz, to be isometric one in the frequency range over 6 Hz, and to be interpolated in logarithmic scale in the frequency range from 3 to 6 Hz according to Satoh (2002). The Fourier phase was assumed to be common for the SH-wave and the SV-wave in the frequency range below 3 Hz, and to be independent for the SH-wave and the SV-wave in the frequency range over 3 Hz. The quality factor Q was assumed to be Q(f)=60f for f 0.8 Hz taken from Amaike et al. (2003) and Q(f)=48 for f 0.8 Hz. The f max was assumed to be 6 Hz according to the f max for the 1995 Hyogo-Ken Nambu, Japan, earthquake (Tsurugi et al. 1997). The soil amplification was evaluated from the impedance ratio between the seismogenic layer (S-wave velocity 3.5 km/s and density 2.7 g/cm 3 ) and the engineering bed rock (S-wave velocity 600 m/s and density 2.2 g/cm 3 ). Figures 8(c) and 8(d) indicate that the peak ground velocities based on the characterized fault model with one asperity in each segment are not different from those based on the characterized fault model with two asperities in each segment.

(a) Slip in the characterized fault model with one asperity in each segment (unit=cm; =rupture initiation point) (b) Slip in the characterized fault model with two asperities in each segment (unit=cm; =rupture initiation point). (c) Peak ground velocities simulated by stochastic Green's function method based on the characterized fault model with one asperity in each segment. (d) Peak ground velovities simulated by the stochastic Green's function method based on the characterized fault model with two asperities in each segment. Figure 8. Characterized fault models determined by the method based on the scaling law by Irikura and Miyake (2001) and on the stress drop equation for a circular crack model and its application to the strong motion simulation.

(a) Slip in the characterized fault model with one asperity in each segment (unit=cm; =rupture initiation point). (b) Slip in the characterized fault model with two asperities in each segment (unit=cm; =rupture initiation point). (c) Peak ground velocities simulated by the stochastic Green's function method based on the characterized fault model with one asperity in each segment. (d) Peak ground velocities simulated by the stochastic Green's function method based on the characterized fault model with two asperities in each segment. Figure 9. Characterized fault models determined by the method based on the model composed of a seismogenic layer and a visco-elastic basement by Fujii and Matsu'ura (2000) and its application to the strong motion simulation.

For comparison, Figures 8(c) and 8(d) show the empirical attenuation of peak ground velocities (mean and mean±one standard deviation) by Si and Midorikawa (1999). Although the data base of Si and Midorikawa (1999) contained no peak ground velocities of inland earthquakes of M W 8 caused large strike-slip faults, the peak ground velocities simulated by the stochastic Green's function method are much larger than those estimated by this empirical attenuation. A method based on the model composed of a seismogenic layer and a visco-elastic basement by Fujii and Matsu'ura (2000) Figures 9(a) and 9(b) show two examples of the characterized fault models determined by the method based on the model composed of a seismogenic layer and a visco-elastic basement proposed by Fujii and Matsu'ura (2000). Here, the fault width is assumed to be 15 km according to Fujii and Matsu'ura (2000). The entire fault area is 2,400 km 2, M W 7.6, the effective stress on the asperities 141 bars, and the averaged slip on the largest asperity 1,076 cm in the model with one asperity in each segment and 1,201 cm in the model with two asperities in each segment. The total seismic moment is distributed into each segment proportionally to the function of the segment area based on equation (6). Figures 9(c) and 9(d) show peak ground velocities on the engineering bedrock (S-wave velocity 600 m/s) simulated by the stochastic Green's function method based on the characterized fault models and the empirical attenuation of peak ground velocities (mean and mean±one standard deviation) by Si and Midorikawa (1999). The peak ground velocities simulated by the stochastic Green's function method indicate rather steep attenuation, but show a good agreement with those by the existing empirical attenuation. Conclusions We estimated the effective stress on the asperities by the following two methods for large inland earthquakes caused by long strike-slip faults, where the rupture propagated to the upper and lower boundary of the seismogenic layer, determined the parameters of the characterized fault models based on these two methods, and carried out strong motion simulation. The first method estimated the averaged stress drop on the entire fault based on the scaling law between the entire fault area and the seismic moment for large inland earthquakes proposed by Irikura and Miyake (2001) and on the stress drop equation for a circular crack model. The effective stress on the asperities was estimated to be 321 bars, and the peak ground velocities simulated by the stochastic Green's function method were much larger than those evaluated by the empirical attenuation. The second method used the averaged stress drop on the entire fault in the scaling law between the entire fault area and the seismic moment for large inland earthquakes based on the model composed of a seismogenic layer and a visco-elastic basement proposed by Fujii and Matsu'ura (2000). The effective stress on the asperities was estimated to be 141 bars, and the peak ground velocities simulated by the stochastic Green's function method were in a good agreement with those evaluated by the existing empirical attenuation. We concluded that the method based on the model composed of a seismogenic layer and a visco-elastic basement was preferred in a viewpoint of the generated strong motions. Acknowledgments This study was supported by Special Coordination Funds, titled "Study on the master model for strong ground motion prediction toward earthquake disaster mitigation," of the Ministry of Education, Science, Sports, and Culture, Japan.

References Abe, K. (1990): Seismological aspects of Luzon, Philippines earthquake of July 16, 1990, Bulletin of Earthquake Research Institute, University of Tokyo, Vol. 65, pp. 851-873. Amaike, F., Y. Sato, K. Kobayashi, and Y. Murakami (2003): Study on propagation path attenuation in the Kinki region, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, pp. 145-146. Brune, J. (1970): Tectonic stress and the spectra of seismic shear waves from earthquakes, Journal of Geophysical Research, Vol. 75, No. 26, pp. 4997-5009. Dalguer, L. A., K. Irikura, W. Zhang, and J. D. Riera (2002): Distribution of dynamic and static stress changes during 2000 Tottori (Japan) earthquake: Brief interpretation of the earthquake sequences; Foreshocks, mainshock and aftershocks, Geophysical Research Letters, Vol. 29, No. 16. Dan, K., M. Watanabe, T. Sato, J. Miyakoshi, and T. Satoh (2000): Isoseismal map of strong motions for the 1923 Kanto earthquake (M JMA 7.9) by stochastic Green's function method, Journal of Structural and Construction Engineering, Architectural Institute of Japan, No.530, 53-62. Dan, K., M. Watanabe, T. Sato, and T. Ishii (2001): Short-period source spectra inferred from variable-slip rupture models and modeling of earthquake faults for strong motion prediction by semi-empirical method, Journal of Structural and Construction Engineering, Architectural Institute of Japan, No. 545, pp. 51-62. Dan, K., T. Sato, and K. Irikura (2002): Characterizing source model for strong motion prediction based on asperity model, Eleventh Japan Earthquake Engineering Symposium, pp. 555-560. Dan, K., M. Watanabe, and J. Miyakoshi (2003): Empirical relation of effective stress on asperity to fault type and depth inferred from existing spectrum inversion results and source inversion results, Journal of Structural and Construction Engineering, Architectural Institute of Japan, No. 565, pp. 55-62. Earthquake Research Committee, Headquarters for Earthquake Research Promotion (1999): Seismicity in Japan, March, 1999. Earthquake Research Committee, Headquarters for Earthquake Research Promotion (2002): Prediction of strong ground motion for scenario earthquakes caused by the faults in the Itoigawa-Shizuoka Tectonic Line, October 31, 2002. Editorial Committee for the Report on the Hanshin-Awaji Earthquake Disaster (1998): General Series 2, Vol. 1, Earthquake and Seismic Motions. Eshelby, J. D. (1957): The determination of the elastic field of an ellipsoidal inclusion, and related problems, Proceedings of the Royal Society of London, Series A, Vol. 241, pp. 376-396. Fujii, Y. and M. Matsu'ura (2000): Regional difference in scaling laws for large earthquakes and its tectonic implication, Pure and Applied Geophysics, Vol. 157, pp. 2283-2302. Ikeda, T., K. Kamae, S. Miwa, and K. Irikura (2002): Investigation of synthetics affected by dispersion of characterized source parameters, Programme and Abstracts, Seismological Society of Japan, 2002, Fall Meeting, A28. Irikura, K. and H. Miyake (2001): Prediction of strong ground motions for scenario earthquakes, Journal of Geography, Vol. 110, No. 6, pp. 849-875. Irikura, K. and H. Miyake (2002): Conditions for applying the revised recipe of strong motion prediction -Applicability to M W 7-class crustal earthquakes-, Programme and Abstracts, Seismological Society of Japan, 2002, Fall Meeting, A19. Irikura, K., H. Miyake, T. Iwata, K. Kamae, and H. Kawabe (2002): Revised recipe for predicting strong ground motion and its validation, Eleventh Japan Earthquake

Engineering Symposium, pp. 567-572. Ito, K. (1999): Seismogenic layer, reflective lower crust, surface heat flow and large inland earthquakes, Tectonophysics, Vol. 306, pp. 423-433. Kanamori, H. and D. L. Anderson (1975): Theoretical basis of some empirical relations in seismology, Bulletin of the Seismological Society of America, Vol. 65, No. 5, pp. 1073-1095. Madariaga, R. (1979): On the relation between seismic moment and stress drop in the presence of stress and strength heterogeneity, Journal of Geophysical Research, Vol. 84, No. B5, pp. 2243-2250. Matsushima, S. and H. Kawase (2000): Multiple asperity source model of the Hyogo-Ken Nanbu earthquake of 1995 and strong motion simulation in Kobe, Journal of Structural and Construction Engineering, Architectural Institute of Japan, No. 534, pp. 33-40. Miyakoshi, K. (2002): Characterization of inhomogeneous seismic source, Chikyu Monthly, extra edition No. 37, Recent Study on Strong Ground Motion Prediction, pp. 56-61. Miyakoshi, K. and A. Petukhin (2002): Delineation of slip distribution of heterogeneous source, Special Coordination Funds for Promoting Science and Technology, Ministry of Education, Culture, Sports, and Technology, Study on the Master Model for Strong Ground Motion Prediction toward Earthquake Disaster Mitigation, Proceedings of the First Symposium, pp. 7-14. Miyatake, T. (1998): Generation mechanism of strong ground motion pulse near the earthquake fault, Zisin, Journal of the Seismological Society of Japan, Second Series, Vol. 51, No. 2, pp. 161-170. Sato, R (1989): Handbook of Earthquake Fault Parameters in Japan, Kajima Institute Publishing Co., Ltd. Satoh, T. (2002): Empirical frequency-dependent radiation pattern of the 1998 Miyagiken-Nanbu earthquake in Japan, Bulletin of the Seismological Society of America, Vol. 92, No. 3, pp. 1032-1039. Scholz, C. H. (1990): The Mechanics of Earthquakes and Faulting, Cambridge University Press. Sekiguchi, H. and T. Iwata (2002): Rupture process of the 1999 Kocaeli, Turkey, earthquake estimated from strong motion waveforms, Bulletin of the Seismological Society of America, Vol. 92, No.1, pp. 300-311. Shimazaki, K. (1986): Small and large earthquakes: The effect of the thickness of seismogenic layer and the free surface, Earthquake Source Mechanics, Geophysical Monograph 37 (Maurice Ewing 6), American Geophysical Union, pp. 209-216. Si, H. and S. Midorikawa (1999): New attenuation relationships for peak ground acceleration and velocity considering effects of fault type and site condition, Journal of Structural and Construction Engineering, Architectural Institute of Japan, No. 523, pp. 63-70. Somerville, P., K. Irikura, S. Sawada, Y. Iwasaki, M. Tai, and M. Fushimi (1993): Study on spatical distribution of slip on earthquake faults, Earthquake Engineering Committee, Japan Society of Civil Engineers, Proceedings of the 22nd JSCE Earthquake Engineering Symposium, pp. 291-294. Somerville, P., K. Irikura, R. Graves, S. Sawada, D. Wald, N. Abrahanson, Y. Iwasaki, T. Kagawa, N. Smith, and A. Kowada (1999): Characterizing crustal earthquake slip models for the prediction of strong ground motion, Seismological Research Letters, Vol. 70, No. 1, pp. 59-80. Tanaka, Y., N. Fukuura, and A. Hata (1996): An analytical study on failure mechanism of reinforced concrete frame type bridge piers considering varying axial forces, Japan Society of Civil Engineers, Proceedings of the Symposium on the Hanshin-Awaji Earthquake Disaster, pp. 339-346. Tsurugi, M., T. Kagawa, K. Irikura, and A. Kowada (1997): Cutoff frequency fmax of

earthquakes occurring in the Kinki disstinct, Abstracts, 1997 Japan Earth and Planet Science Joint Meeting, p. 103. Watanabe, M., T. Sato, and K. Dan (1998): Scaling relations of fault parameters for inland earthquakes, Tenth Japan Earthquake Engineering Symposium, Vol. 1, pp. 583-588. Wells, D. L. and K. J. Coppersmith (1994): New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement, Bulletin of the Seismological Society of America, Vol. 84, No.4, pp. 974-1002.