PRISM: PROCESSING AND REVIEW INTERFACE FOR STRONG MOTION DATA SOFTWARE

Slides:



Advertisements
Similar presentations
Making the System Operational
Advertisements

Provenance-Aware Storage Systems Margo Seltzer April 29, 2005.
Hydrological information systems Svein Taksdal Head of section, Section for Hydroinformatics Hydrology department Norwegian Water Resources and Energy.
ASL QC Procedures Status and plans. GSN ANSS Traditional Waveform Review  The “morning run” Daily summarizes problems with availability, timing,
Easily extensible unix software for spectral analysis, display modification, and synthesis of musical sounds James W. Beauchamp School of Music Dept.
By SAG Objectives Cross platform QA Automation for web applications Scheduling the automation Automatically build the test scripts Generate the.
1 John Walker An Attempt to Replicate the Shnoll et al. Effect with Algorithmic Classification of Histogram Similarity.
Analog Data Processing with BioProc3 Part Two EMG Analysis Techniques.
Contents 1 GeoDAS, GeoDAS Software of GeoSIG.
Record Processing Considerations for Analysis of Buildings Moh Huang California Strong Motion Instrumentation Program California Geological Survey Department.
Acceleration – Magnitude The Analysis of Accelerograms for the Earthquake Resistant Design of Structures.
Ground Motion Intensity Measures for Performance-Based Earthquake Engineering Hemangi Pandit Joel Conte Jon Stewart John Wallace.
Characterization of Ground Motion Hazard PEER Summative Meeting - June 13, 2007 Yousef Bozorgnia PEER Associate Director.
The RSNI Seismic Network Laboratory of seismology, DISTAV - University of Genoa (Italy) RSNI STAFF RSNI STAFF : Spallarossa D.,
Selection of Time Series for Seismic Analyses
Ground Motion Parameters Measured by triaxial accelerographs 2 orthogonal horizontal components 1 vertical component Digitized to time step of
An ide for teaching and learning prolog
SCEC: An NSF + USGS Research Center ShakeAlert CISN Testing Center (CTC) Development Philip Maechling Information Technology Architect Southern California.
New Features of APV-SRS-LabVIEW Data Acquisition Program Eraldo Oliveri on behalf of Riccardo de Asmundis INFN Napoli [Certified LabVIEW Developer] NYC,
May 25, 2004CSMIP Processing, Shakal et al1 CSMIP Strong Motion Data Processing Anthony Shakal, Moh Huang and Vladimir Graizer California Strong Motion.
Riccardo de Asmundis INFN Napoli [Certified LabVIEW Developer]
IT GOVERNANCE AND CYBERCRIME Open Source Forensic Tools 19/04/10.
Analog Data Processing with BioProc3 Part One Data Analysis and Smoothing.
Framework for Automated Builds Natalia Ratnikova CHEP’03.
CABLE-STAYED BRIDGE SEISMIC ANALYSIS USING ARTIFICIAL ACCELEROGRAMS
Appendix: The WEKA Data Mining Software
Data Processing and Recording at University of Southern California M.I. Todorovska and V.W. Lee Civil Engineering Department, University of Southern California.
Cuban Seismic Network National Centre for Seismological Research (2010) Ing. Eduardo R. Diez Zaldívar. Centro Nacional de Investigaciones Sismológicas.
VirtualBox What you need to know to build a Virtual Machine.
CoRoT fields before CoRoT – Processing of Large Photometric Databases Zoltán Csubry Konkoly Observatory Budapest, Hungary Hungarian CoRoT Day Budapest,
COMPILATION OF STRONG MOTION DATA FROM EASTERN CANADA FOR NGA-EAST PROJECT Lan Lin Postdoctoral Fellow, Geological Survey of Canada.
1. 2 CE-312 Engineering Geology and Seismology Instructor: Dr Amjad Naseer Lecture#15 Department of Civil Engineering N-W.F.P University of Engineering.
Touchstone Automation’s DART ™ (Data Analysis and Reporting Tool)
ANSS/NSMP STRONG- MOTION RECORD PROCESSING AND PROCEDURES Christopher D. Stephens and David M. Boore US Geological Survey Menlo Park, CA COSMOS/NSF International.
Status of ENA Database of Ground Motions for NGA East A Presentation by Chris Cramer At the NGA East Workshop on Database Development September 29, 2009.
Developed at the Broad Institute of MIT and Harvard Reich M, Liefeld T, Gould J, Lerner J, Tamayo P, and Mesirov JP. GenePattern 2.0. Nature Genetics 38.
NEEDS FOR PERFORMANCE-BASED GEOTECHNICAL EARTHQUAKE ENGINEERING
ITACA: The New Italian Strong-Motion Database Pacor* F., Paolucci^ R., and Working Groups ITACA of S4 Project *Istituto Nazionale di Geofisica e Vulcanologia.
Validation of physics-based ground motion earthquake simulations using a velocity model improved by tomographic inversion results 1 Ricardo Taborda, 1.
BOĞAZİÇİ UNIVERSITY DEPARTMENT OF MANAGEMENT INFORMATION SYSTEMS MATLAB AS A DATA MINING ENVIRONMENT.
Yield Cleaning Software and Techniques OFPE Meeting
W E K A Waikato Environment for Knowledge Aquisition.
August 2003 At A Glance The IRC is a platform independent, extensible, and adaptive framework that provides robust, interactive, and distributed control.
Effects of Strong Motion Processing Procedures on Time Histories, Elastic and Inelastic Spectra By Paolo Bazzurro, Brian Sjoberg,
HIGH FREQUENCY GROUND MOTION SCALING IN THE YUNNAN REGION W. Winston Chan, Multimax, Inc., Largo, MD W. Winston Chan, Multimax, Inc., Largo, MD Robert.
February 12, John Anderson GE/CEE 479/679 Earthquake Engineering GE / CE - 479/679 Topic 7. Response and Fourier Spectra John G. Anderson Professor.
Correlator GUI Sonja Vrcic Socorro, April 3, 2006.
Outline Carrier design Embedding and extraction for single tile and Multi-tiles (improving the robustness) Parameter α selection and invisibility Moment.
CS307P-SYSTEM PRACTICUM CPYNOT. B13107 – Amit Kumar B13141 – Vinod Kumar B13218 – Paawan Mukker.
NGA Project Review and Status Norm Abrahamson NGA Workshop #5 March, 2004.
Need for an Objective Goodness-of-Fit Measure for: Broadband synthetic time histories from different methodologies Broadband synthetic time histories versus.
The information systems lifecycle Far more boring than you ever dreamed possible!
In part from: Yizhou Sun 2008 An Introduction to WEKA Explorer.
A brief introduction to NERA – NA3 work package ‘Networking accelerometric networks and strong- motion data users’ Sinan Akkar On behalf of entire NERA-NA3.
Novel Approach to Strong Ground Motion Attenuation Modeling Vladimir Graizer U.S. Nuclear Regulatory Commission Erol Kalkan California Geological Survey.
ShakeAlert CISN Testing Center (CTC) Development
NGA Dataset Brian Chiou NGA Workshop #5 March 24, 2004.
Data Mining, Distributed Computing and Event Detection at BPA
Design Spectra.
Brazilian “Strong-Motion” Data Stéphane Drouet, ON, Rio de Janeiro Marlon Pirchiner, IAG/USP, São Paulo Marcelo Assumpção, IAG/USP, São Paulo Luis Carlos.
Cover page.
Graphing Motion Walk Around
Paul Ogwari University of Memphis Center for Earthquake Research and Information 2nd year MSc Research on: Effects of Type of Faulting on Earthquake.
Norm Abrahamson NGA workshop #5 March 24, 2004
Data Mining, Distributed Computing and Event Detection at BPA
DEPLOYING SECURITY CONFIGURATION
TRIPLET MEASUREMENTS OF DIRECTIONAL WAVE SPECTRA
Design Spectra.
GENEDI EUROPEAN COMMISSION - EUROSTAT GENERIC EDI TOOLBOX
STATEL an easy way to transfer data
Presentation transcript:

PRISM: PROCESSING AND REVIEW INTERFACE FOR STRONG MOTION DATA SOFTWARE Jeanne Jones, Erol Kalkan, Christopher Stephens and Peter Ng

OBJECTIVE Increasing number of strong-motion records from national strong motion network and other regional networks calls for automated processing with expert review limited to selected significant events or to problematic records. To meet this need, we developed PRISM software (Jones et al., 2016), which will replace the outdated manual processing software BAP (Basic Strong-Motion Accelerogram Processing Software) (Converse and Brady, 1992).

a module-based automatic processing engine PRISM a module-based automatic processing engine a graphical user interface (GUI) to manually review, edit and process records PRISM (both its processing engine and review tool) is easy to install and run as a stand-alone system on common operating systems such as Linux, OS X and Windows

PRISM USES STANDARD (COSMOS) DATA FORMAT VOL-1 (V1): Uncorrected acceleration VOL-2 (V2): Corrected acceleration, velocity and displacement VOL-3 (V3): Response spectrum, Fourier amplitude spectrum, and engineering parameters (IMs)

MAIN FEATURES Platform-independent, modular, extensible, open-source (written in Java), Processing parameters are customizable with a configuration file, Phase-time and maximum amplitude picking, Time-domain mean-removal, integration and differentiation, Frequency-domain zero-padding resampling, Acausal bandpass (Butterworth) filtering, Baseline correction determined from the velocity time series and removed from the acc. time series in time domain, Filtering performed on the acc. time series in time domain,

MAIN FEATURES (cont.) Compatible acceleration, velocity and displacement time series, response spectra, Fourier amplitude spectra, and standard engineering parameters, Log files for quality control and reproducibility, For input, currently uses COSMOS V0 input format with metadata in COSMOS headers, Products in COSMOS data format (V1, V2 and V3), and Can be used for processing strong-motion records in other applications (e.g., GUI for manual review and processing).

VOL-1 PROCESSING Step - 1: Unit conversion Step - 2: Mean removal

VOL-2 PROCESSING Step - 1: Resampling to 200 sps (if needed) Step - 2: Event onset detection Step - 3: Pre-event mean removal Step - 4: First order baseline correction (velocity domain) Step - 5: QC Step - 6a: Bandpass filter with acausal (zero-phase distortion) filter (acceleration domain) Step - 6b: Adaptive baseline correction (ABC) Step - 7: Compute acceleration and displacement

VOL-3 PROCESSING Step - 1: Compute pseudo acceleration, velocity and displacement spectra for 2, 5, 10 and 20% damping Step - 2: Compute Fourier amplitude spectrum Step - 3: Compute earthquake-engineering parameters: Arias intensity Bracketed duration (seconds over 5% g) Duration interval (seconds over 5-95% of total energy) Response spectrum intensity (area under PSV spectrum between 0.1 s and 2.5 s) RMS acceleration Cumulative absolute velocity

COMPARISONS AMONG PRISM, BAP AND CSMIP PROCESSING The similarities among time series processed using PRISM, BAP and CSMIP were measured by: comparing PGA, PGV and PGD of time series, computing coherence, cross spectrum phase and cross correlation of the time series, comparing Fourier amplitude spectrum of acc., vel. and disp. time series, and computing and comparing spectrograms of power spectra of acc., vel. and disp. time series.

PRISM VS. BAP PROCESSING (EXAMPLE) 2015 mb5.0 earthquake in Afiamalu, Samoa. Except in the final few seconds of the processed records, the differences are very small. There is no difference in PGA and PGV, and the difference in PGD is 0.1%.

PRISM VS. CSMIP PROCESSING (STATISTICAL EVALUATION) We processed more than 1800 V1 records from eight earthquakes between 2005-2016 in California (M4.1-6.5) from the CESMD website to compare V2 products from PRISM and CSMIP processing We computed misfit between processed time series by comparing: PGA, PGV and PGD, normalized Euclidian distance (L2 norm) between acc., vel. and disp. time series, and moving window RMS levels of acc., vel. and disp. time series.

PRISM VS. CSMIP PROCESSING Bar graphs showing ratio of absolute differences in PGA, PGV and PGD in terms of percentage between PRISM and CSMIP processing as percentage of 1822 records For 80% of records, PRISM provides peak values equal or less than 1% of CSMIP peak values. Some differences are attributed to different implementation of filtering, differentiation and integration algorithms between PRISM and CSMIP processing.

UPCOMING OPEN FILE REPORTS

DOWNLOADING PRISM PRISM processing-engine Java source code is available at https://github.com/usgs/prism PRISM documentation and GUI installer are planned to be available at https://earthquake.usgs.gov/research/software/#prism THANK YOU!!!