DATABASE: SUMMARY, STATUS AND GROUND MOTION PRODUCTS
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1 07/14/2014 NGA-East SSHAC Workshop 2 1 DATABASE: SUMMARY, STATUS AND GROUND MOTION PRODUCTS Tadahiro Kishida Pacific Earthquake Engineering Research Center NGA-East SSHAC Workshop 2, Berkeley International House 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 2 Database Overview 9,500 records were uniformly processed from 70 earthquake events. Magnitude ranges from 2 to 7, epicenter distance ranges from 1 to 3,000 km. Database includes Fourier amplitude spectra (FAS) for different windows. Filtered, baseline corrected acceleration, velocity, displacement time series. Pseudo spectral acceleration (PSA) Duration, Arias intensity Flatfile (Data columns, bandwidth) Challenges and solutions in data processing Microseisms PSA for low sampling rate records Data volume
2 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 3 Magnitude vs. Epicentral Distance 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 4 Time Window to Capture Long Duration Select p-wave arrival Compute estimated s- and Lg-wave arrival with HypD. Select s-wave arrival time. Compute the end of Lg-, and coda-window.
3 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 5 Example Unprocessed Records and Windows 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 6 FAS Computation FAS are plotted for 6 different windows. High-pass (HP), low-pass (LP) filters are applied. Filtered and unfiltered FAS are saved.
4 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 7 Filtered, Baseline-Corrected Time Series Baseline correction is applied after filtering. Acceleration, velocity, displacement time series are saved. Before baseline correction After baseline correction 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 8 Pseudo Spectral Acceleration (PSA) By using baseline corrected records, PSA is computed and saved.
5 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 9 Arias Intensity (AI) and Duration By using baseline corrected records, Arias Intensity and duration are computed and saved. AI, and time for 5%, 10%,, 95% of AI are computed and saved. Hypocenter Longitude (deg) etwork.station ode (pref.) Hypocenter Depth (km) ongitude Station Elevation (m) RmsD (km) Rx H1 azimth (degrees) Microseism Lower- bound - H2 (Hz) Finite Rupture Model: 1=Yes; 0=No 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 10 Flatfile Record Sequence Number Network.Station Network.Station Network.Station Code (alt.1) Code (alt.2) Code (alt. 4) Instrument Location EQRegionNumbe r H2 azimith (degrees) Vs30 Code StnRegionNumbe r EQID Earthquake Name Year Month Day Hour Minute Mo (dyne.cm) Earthquake Magnitude Rake (deg) P- plunge (deg) P- trend (deg) T- plunge (deg) T- trend (deg) Hypocenter Hypocenter Longitude Latitude (deg) (deg) Fault Rupture Length Depth to Top Of Fault for Calculation of Ry Rupture Model (km) Vs30 to be used for analysis (m/s) Network.Station Sensor(s) Code (alt. 3) at station Vs30 Standard Deviation Fault Rupture Width (km) Station name Station Fault Rupture Sequence Area (km^2) Number Magnitude Magnitude Strike (deg) Dip (deg) Type uncertainty Network.Station Code (pref.) Hypocenter Depth (km) Station Latitude Station Longitude Station Elevation (m) R_Epi (km) R_Hypo (km) R_JB (km) R_Rup (km) RmsD (km) Rx File Name (Horizontal EQStnRegionNumber File Name (Horizontal 1) 2) Sampling time step, HP- H1 (Hz) HP- H2 (Hz) HP- V (Hz) dt (s) Microseism Lower- bound - HV (Hz) Microseism Upper- bound - H1 (Hz) LP- H1 (Hz) LP- H2 (Hz) LP- V (Hz) Microseism Upper- bound - H2 (Hz) Microseism Upper- bound - HV (Hz) west Usable Freq - As Recorded PGA- H As Recorded PGV- As Recorded PGD- ve. Component Damping (%) RotD percentile Quality Flag RotDXX (g) H RotDXX (cm/sec) H RotDXX (cm) z) Earthquake Source Site Database Propagation Path Record Catalog Flatfile contains the following columns. File Name (Vertical) Microseism Lower- bound - H1 (Hz) Factor H1 azimth (degrees) Finite Rupture Model: 1=Yes; 0=No Network.Station Network.Station Network.Station Code (alt.1) Code (alt.2) Code (alt. 4) EQRegionNumbe r H2 azimith (degrees) Microseism Lower- bound - H2 (Hz) Instrument Location Vs30 Code StnRegionNumbe r Vs30 to be used for analysis (m/s) Network.Station Sensor(s) Code (alt. 3) at station Vs30 Standard Deviation Station name R_Epi (km) R_Hypo File Na EQStnRegionNumber File Name (Horizontal 1) 2) Sampling time step, HP- H1 (Hz) HP- H2 (Hz) HP- V (Hz) LP- H1 (Hz) LP- H2 (H dt (s) Microseism Lower- bound - HV (Hz) Microseism Upper- bound - H1 (Hz) Microseism Upper- bound - H2 (Hz) Lowest Usable Freq - As Recorded PGA- H As Recorded PGV- A Ave. Component Damping (%) RotD percentile Quality Flag RotDXX (g) H RotDXX (cm/sec) H (Hz) T s T s T s T s T s T10s T s T0.008s T s T s T0.009
6 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 11 Low-Pass Corner Frequency (f c-lp )vs. Magnitude f c-lp does not depend on Magnitude. High frequency amplitude is less dependent on magnitude. 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 12 Low-Pass Corner Frequency (f c-lp )vs. Epicentral Distance f c-lp decreases as epicentral distance increases. High frequency amplitude decreases with distance.
7 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 13 High-Pass Corner Frequency (f c-hp )vs. Magnitude f c-hp decreases as magnitude increases. Low frequency amplitude increase with magnitude. 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 14 High-Pass Corner Frequency (f c-hp )vs. Epicentral Distance f c-hp decreases as epicentral distance increases. Why?
8 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 15 Database Overview 9,500 records were uniformly processed from 70 earthquake events. Magnitude ranges from 2 to 7, epicenter distance ranges from 1 to 3,000 km. Database includes Fourier amplitude spectra (FAS) for different windows. Filtered, baseline corrected acceleration, velocity, displacement time series. Pseudo spectral acceleration (PSA) Duration, Arias intensity Flatfile (Data columns, bandwidth) Challenges and solutions in data processing Microseisms PSA for low sampling rate records Data volume 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 16 Microseisms Microseisms sometimes affect FAS for the range of frequencies. To keep the usable frequencies lower than microseisms, HP fc is selected below microseisms, then the range of microseisms are indicated in Flatfile.
9 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 17 PSA Computation for Low Sampling Rate Records Low sampling rate records require interpolation of time series to compute PSA. Sinc interpolation is used rather than linear interpolation. Original data is blue square. Red line is linear interpolation. Open circle is sin interpolation. 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 18 Data Volume Data volume becomes large due to the long duration. FAS is computed to have the same df throughout the database. Sampling Frequency (Hz) dt (sec) Duration (sec) Power of 2 df The solution is that PEER spent a lot of time for computation, and purchased the data servers.
10 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 19 Database Overview 9,500 records were uniformly processed from 70 earthquake events. Magnitude ranges from 2 to 7, epicenter distance ranges from 1 to 3,000 km. Database includes Fourier amplitude spectra (FAS) for different windows. Filtered, baseline corrected acceleration, velocity, displacement time series. Pseudo spectral acceleration (PSA) Duration, Arias intensity Flatfile (Data columns, bandwidth) Challenges and solutions in data processing Microseisms PSA for low sampling rate records Data volume 07/14/2014 NGA-East SSHAC Workshop 2: Kishida 20 Acknowledgement Data Processing Walt Silva, Bob Darragh, Christine Goulet, Chris Cramer, Dave Boore, Brian Chiou, Tim Ancheta, Albert Kottke, Olga-Joan Ktenidou Persons who worked on data processing Sahar Derakhshan, Sifat Muin, Tomoyuki Inoue, Claudia Bongiovanni, Dan Assouline, Imad El Khoury
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