Quakeml Status of the XML-Based Seismological Data Exchange Format

Total Page:16

File Type:pdf, Size:1020Kb

Quakeml Status of the XML-Based Seismological Data Exchange Format Research Collection Journal Article QuakeML Status of the XML-based seismological data exchange format Author(s): Schorlemmer, Danijel; Euchner, Fabian; Kästli, Philipp; Saul, Joachim Publication Date: 2011 Permanent Link: https://doi.org/10.3929/ethz-b-000034821 Originally published in: Annals of Geophysics 54(1), http://doi.org/10.4401/ag-4874 Rights / License: Creative Commons Attribution 3.0 Unported This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library ANNALS OF GEOPHYSICS, 54, 1, 2011; doi: 10.4401/ag-4874 QuakeML: status of the XML-based seismological data exchange format Danijel Schorlemmer1,2, Fabian Euchner3,*, Philipp Kästli3, Joachim Saul2 and the QuakeML Working Group4 1 Southern California Earthquake Center, University of Southern California, Los Angeles, CA, USA 2 Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany 3 Swiss Seismological Service, ETH Zurich, Zurich, Switzerland 4 See Acknowledgments section Article history Received May 5, 2010; accepted November 19, 2010. Subject classification: Seismology/General or miscellaneous, Computational geophysics/Data processing, Data dissemination/Seismological data. ABSTRACT resulting in many formats essentially describing the same things. This is in particular the case when dealing with QuakeML is an XML-based data exchange standard for seismology that is earthquake catalogs. In this domain, a plethora of formats is in its fourth year of active community-driven development. Its development being used; almost each seismic network uses a custom was motivated by the need to consolidate existing data formats for format. This continues to be an impediment in the applications in statistical seismology, as well as setting a cutting-edge, development of toolboxes for statistical seismology, because community-agreed standard to foster interoperability of distributed these codes need to provide import functionality for various infrastructures. The current release (version 1.2) is based on a public Request formats. As an additional difficulty, documentation of these for Comments process and accounts for suggestions and comments provided data formats, especially the more exotic ones, is often by a broad international user community. QuakeML is designed as an incomplete, and the semantics of data fields may be unclear umbrella schema under which several sub-packages are collected. The and the lack of their description can lead to improper data present scope of QuakeML 1.2 covers a basic description of seismic events usage. Some of the existing data formats stem from including picks, arrivals, amplitudes, magnitudes, origins, focal corresponding software products (e.g. Hypoinverse) [Klein mechanisms, and moment tensors. Work on additional packages 2007], others are standards that have been established by (macroseismic information, ground motion, seismic inventory, and resource international organizations (e.g. the seismic format of the metadata) has been started, but is at an early stage. Several applications International Association of Seismology and Physics of the based on the QuakeML data model have been created so far. Among these are Earth's Interior) [Willemann et al. 2001], but often with no or earthquake catalog web services at the European Mediterranean little involvement of the community. Most of them use fixed- Seismological Centre (EMSC), GNS Science, and the Southern California field width ASCII data files, which makes it virtually Earthquake Data Center (SCEDC), and QuakePy, an open-source Python- impossible to extend them. The motivation behind based seismicity analysis toolkit. Furthermore, QuakeML is being used in QuakeML was to provide comprehensive coverage of the SeisComP3 system from GFZ Potsdam, and in the Collaboratory for the community-agreed content, and still have the possibility to Study of Earthquake Predictability (CSEP) testing center installations, add local extensions that are not part of the official standard developed by Southern California Earthquake Center (SCEC). QuakeML but still retaining full standard compliance. To serve that is still under active and dynamic development. Further contributions from purpose, XML (eXtensible Markup Language) was chosen as the community are crucial to its success and are highly welcome. the base technology. XML is a standardized general-purpose markup language that allows the formal definition of 1. Introduction descriptive languages for a broad range of applications [Bray Seismological data cover a broad range of information et al. 2000]. One of its strengths is that it is plain-text based. and are stored and exchanged in many different formats. Thus, it is platform-independent, readable by humans and Often, these format definitions are tailored to fit the specific machines, and probably reasonably future-proof regarding requirements for a narrow field of applications. Even though technological advancement. these formats share a good portion of the data fields, their XML-based data interchange formats have been definitions do not support any kind of compatibility, developed for many fields of science and technology during 59 SCHORLEMMER ET AL. the last decade, often setting new community-approved of possible problems as well as for easier adoption by the standards. Examples can be found in Geographic Information community that sees the user needs being accounted for. Systems, with the basic standard of the Geography Markup Language (GML) [Portele 2007], and domain-specific 2. Data model application schemas, like the GeoScience Markup Language The main rationale of QuakeML was to create a flexible (GeoSciML) [Laxton 2009]. In the astropyhsical Virtual format for data interchange to foster interoperability of Observatory community, many XML-based standard formats distributed infrastructures. The definition of this XML-based have been developed under the auspices of the International exchange format has been created in XML Schema (XSD) Virtual Observatory Alliance (IVOA, www.ivoa.net). A first [Biron and Malhotra 2004, Fallside and Walmsley 2004, basic outline of the general concept of QuakeML can be Thomson et al. 2004]. From QuakeML version 1.2 on, we also found in Schorlemmer et al. [2004]. The documentation of provide a definition in a different schema language, Relax NG the current QuakeML version (1.2) can be found in the (RNG) [Clark and Murata 2001]. QuakeML, however, is Documents section of the QuakeML web site. In the current more than just a data exchange format defined through a step of its evolution, QuakeML has been given a modular schema document. It is a data model that can be applied not design. There is an umbrella schema which defines the root only for data exchange, but also for data representation, XML element. First-level child elements are defined in manipulation, and persistent storage. We used the Unified separate packages which cover a specific thematic aspect. Modeling Language (UML, a general-purpose modeling Their schema definitions are imported from the umbrella language that is developed under the auspices of the Object schema. For QuakeML version 1.2, a first package has been Management Group, www.uml.org) to create the definition defined that provides a basic event description (BED) of of this data model. For that purpose, and also for seismic events and introduces a concept for unambiguous maintenance, a graphical UML modelling tool is used resource identification. The BED component covers all basic (Enterprise Architect by Sparx Systems). From this tool, the parameters as routinely reported by many networks, i.e. model can be exported to the XML Metadata Interchange hypocentral parameters (location, time, magnitude), their (XMI) format. XMI is an XML-based standard for the exchange uncertainties, moment tensor and focal mechanism of metadata information (www.omg.org/spec/XMI). The description, and pick/amplitude and arrival information. XSD and RNG schema documents are automatically created The BED package will in the future be complemented with from the XMI representation of the data model by applying subsequent standards on seismic inventory, resource an XSLT transformation. XSLT, the XML Stylesheet metadata, macroseismic information, and ground motion. Language, is a standard of the World Wide Web Consortium Work on these is under way. [Clark 1999]. The XMI document can also be used as the basis QuakeML (BED) describes properties of seismic events for other techniques of automated code generation. Some of in a hierarchical manner, using a posteriori knowledge of the the C++ classes and parts of the SQL database schema of relations between elements (e.g. association of origins to SeisComP3 are automatically generated from the XMI events). When dealing with real-time processing of seismic representation of the QuakeML data model. SeisComP3 is a data, this information may not be present. Therefore, an seismological software for data acquisition, processing, and alternative version using a flatter hierarchy has been defined distribution (www.seiscomp3.org) [Hanka et al. 2008, 2010]. for real-time use (QuakeML-RT BED). Note, however, that SeisComP3 currently is not based on the QuakeML also addresses one of the main challenges that most recent version of QuakeML. arise in networked scientific infrastructures. There is a need In the course of QuakeML data model development it to identify resources uniquely and to make them available became clear that logical and hierarchical
Recommended publications
  • Seismic Wave Analysis and Real-Time Monitor: User Manual and Reference Guide
    SWARM Seismic Wave Analysis and Real-time Monitor: User Manual and Reference Guide Version 3.1.0 February 2020 Table of Contents 1 Introduction .......................................................................................................................................... 6 1.1 About ............................................................................................................................................. 6 2 Getting Started ...................................................................................................................................... 6 2.1 System Requirements ................................................................................................................... 6 2.2 Installing SWARM .......................................................................................................................... 6 2.3 Running SWARM ........................................................................................................................... 7 3 Data Sources and Channels ................................................................................................................... 8 3.1 Introduction .................................................................................................................................. 8 3.2 General Usage ............................................................................................................................... 8 3.3 Data Source Types ........................................................................................................................
    [Show full text]
  • Seisio: a Fast, Efficient Geophysical Data Architecture for the Julia
    1 SeisIO: a fast, efficient geophysical data architecture for 2 the Julia language 1∗ 2 2 2 3 Joshua P. Jones , Kurama Okubo , Tim Clements , and Marine A. Denolle 1 4 4509 NE Sumner St., Portland, OR, USA 2 5 Department of Earth and Planetary Sciences, Harvard University, MA, USA ∗ 6 Corresponding author: Joshua P. Jones ([email protected]) 1 7 Abstract 8 SeisIO for the Julia language is a new geophysical data framework that combines the intuitive 9 syntax of a high-level language with performance comparable to FORTRAN or C. Benchmark 10 comparisons with recent versions of popular programs for seismic data download and analysis 11 demonstrate significant improvements in file read speed and orders-of-magnitude improvements 12 in memory overhead. Because the Julia language natively supports parallel computing with an 13 intuitive syntax, we benchmark test parallel download and processing of multi-week segments of 14 contiguous data from two sets of 10 broadband seismic stations, and find that SeisIO outperforms 15 two popular Python-based tools for data downloads. The current capabilities of SeisIO include file 16 read support for several geophysical data formats, online data access using FDSN web services, 17 IRIS web services, and SeisComP SeedLink, with optimized versions of several common data 18 processing operations. Tutorial notebooks and extensive documentation are available to improve 19 the user experience (UX). As an accessible example of performant scientific computing for the 20 next generation of researchers, SeisIO offers ease of use and rapid learning without sacrificing 21 computational performance. 2 22 1 Introduction 23 The dramatic growth in the volume of collected geophysical data has the potential to lead to 24 tremendous advances in the science (https://ds.iris.edu/data/distribution/).
    [Show full text]
  • Open-Source ANSS Quake Monitoring System Software J
    Focus Section: Regional Seismic Networks in North America Open-Source ANSS Quake Monitoring System Software J. Renate Hartog*1, Paul A. Friberg2, Victor C. Kress1, Paul Bodin1, and Rayomand Bhadha3 Abstract ANSS stands for the Advanced National Seismic System of the U.S.A., and ANSS Quake Monitoring System (AQMS) is the earthquake management system (EMS) that most of its member regional seismic networks (RSNs) use. AQMS is based on Earthworm, but instead of storing files on disk, it uses a relational database with replication capability to store pick, amplitude, waveform, and event parameters. The replicated database and other features of AQMS make it a fully redundant system. A graphical user interface written in Java, Jiggle, is used to review automatically generated picks and event solutions, relo- cate events, and recalculate magnitudes. Add-on mechanisms to produce various post- earthquake products such as ShakeMaps and focal mechanisms are available as well. It provides a configurable automatic alarming and notification system. The Pacific Northwest Seismic Network, one of the Tier 1 ANSS RSNs, has modified AQMS to be com- patible with a freely available, capable, open-source database system, PostgreSQL, and is running this version successfully in production. The AQMS Software Working Group has moved the software from a subversion repository server hosted at the California Institute Cite this article as Renate Hartog, J., of Technology to a public repository at gitlab.com. The drawback of AQMS as a whole is P. A. Friberg, V. C. Kress, P. Bodin, and that it is complex to fully configure and comprehend. Nevertheless, the fact that it is very R.
    [Show full text]
  • Seisan = Earthquake Analysis Software
    SEISAN EARTHQUAKE ANALYSIS SOFTWARE FOR WINDOWS, SOLARIS, LINUX and MACOSX Version 12.0 Lars Ottem¨oller(1) Peter H. Voss(2) Jens Havskov(1) (1) Department of Earth Science (2) Geological Survey of Denmark and Greenland University of Bergen Øster Voldgade 10 Allgaten 41 1350 Copenhagen K 5007 Bergen Denmark Norway http://seisan.info Bergen June 08, 2021 2 Publisher University of Bergen Department of Earth Science Allegatan 41 NO-5007 Bergen NORWAY ISBN 978-82-8088-501-2 (PDF) Cover The photo on the cover show the sensor at the BSD station, in Denmark, spring 2021. Photograph: P. Voss. Citiation If you need to cite this manual : Ottem¨oller,L., Voss, P.H. and Havskov J. (2021). SEISAN Earthquake Analysis Software for Windows, Solaris, Linux and Macosx, Version 12.0. 607 pp. University of Bergen. ISBN 978-82-8088-501-2, URL http://seisan.info. Alternatively use: Havskov et al. [2020] Havskov, J., Voss, P.H. and Ottem¨oller,L. (2020). Seismological Observatory Software: 30 Yr of SEISAN. Seismological Research Letters, 91 (3): 1846-1852. DOI: https://doi.org/10.1785/0220190313 Contact See SEISAN mailing lists on page 6. Alternatively use: Lars Ottem¨[email protected] Peter H. Voss [email protected] Jens Havskov [email protected] Copyright ©2021 Ottem¨oller,Voss and Havskov. Contents 1 Introduction 1 1.1 Changes in the SEISAN version 12.0 (released 2021-06-08) . .2 1.1.1 A new Nordic Format, Nordic2 . .3 1.2 Information about SEISAN online . .5 2 Structure of SEISAN 7 2.1 Directories .
    [Show full text]
  • Insight SEIS Software Interface Specification September 29, 2020
    Interior Exploration Using Seismic Investigations, Geodesy, and Heat Transport (InSight) Mission Seismic Experiment for Investigating the Subsurface (SEIS) PDS Archive Software Interface Specification Rev. 2.0 September 29, 2020 Prepared by Susan Slavney, PDS Geosciences Node, Washington University in St. Louis, [email protected] Renee Weber, SEIS Archive Assembly Team, Marshall Space Flight Center, [email protected] InSight SEIS Software Interface Specification September 29, 2020 InSight Seismic Experiment for Investigating the Subsurface PDS Archive Software Interface Specification Rev. 2.0 September 29, 2020 Custodian: Renee Weber Date SEIS Archivist Approved: Philippe Lognonné Date SEIS Principal Investigator Raymond E. Arvidson Date PDS Geosciences Node Manager ii InSight SEIS Software Interface Specification September 29, 2020 Contents 1 Introduction .......................................................................................................................... 1 1.1 Document Change Log ..................................................................................................1 1.2 TBD Items ......................................................................................................................2 1.3 Abbreviations .................................................................................................................2 1.4 Glossary .........................................................................................................................3 2 Overview ..............................................................................................................................
    [Show full text]
  • Geoinformatics 2007—Data to Knowledge
    Geoinformatics 2007—Data to Knowledge Proceedings May 17-18 San Diego, California Scientific Investigations Report 2007-5199 U.S. Department of the Interior U.S. Geological Survey U.S. Department of the Interior DIRK KEMPTHORNE, Secretary U.S. Geological Survey Mark D. Myers, Director U.S. Geological Survey, Reston, Virginia: 2007 For sale by U.S. Geological Survey, Information Services Box 25286, Denver Federal Center Denver, CO 80225 For more information about the USGS and its products: Telephone: 1-888-ASK-USGS World Wide Web: http://www.usgs.gov Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted materials contained within this report. Suggested citation: Brady, S.R., Sinha, A.K., and Gundersen, L.C., editors, 2007, Geoinformatics 2007—Data to Knowledge, Proceed­ ings: U.S. Geological Survey Scientific Investigations Report 2007-5199, 104 p. Manuscript approved for publication September 10, 2007. Prepared by Reston Publishing Service Center. Editing by Marilyn A. Billone. Photocomposition and design by Cathy Y. Knutson. Cover design by Jenifer Bracewell. For more information concerning this report, please contact Shailaja R. Brady, U.S. Geological Survey, 911 National Center, Reston, VA 20192, [email protected]. III Preface Conference Summary: The Geoinformatics 2007 Conference presented the effort by the geosciences and informa­ tion technology communities to respond to the growing need for utilizing multidisciplinary geoscience datasets and tools to understand the complex dynamics of earth and planetary systems.
    [Show full text]
  • Seismic Wave Analysis and Real-Time Monitor: User Manual and Reference Guide
    SWARM Seismic Wave Analysis and Real-time Monitor: User Manual and Reference Guide Version 3.0.0 November 2019 Table of Contents 1 Introduction .......................................................................................................................................... 6 1.1 About ............................................................................................................................................. 6 2 Getting Started ...................................................................................................................................... 6 2.1 System Requirements ................................................................................................................... 6 2.2 Installing SWARM .......................................................................................................................... 6 2.3 Running SWARM ........................................................................................................................... 7 3 Data Sources and Channels ................................................................................................................... 8 3.1 Introduction .................................................................................................................................. 8 3.2 General Usage ............................................................................................................................... 8 3.3 Data Source Types ........................................................................................................................
    [Show full text]
  • Web-Based Technology for Storage and Processing of Multi-Component Data in Seismology – First Steps Towards a New Design
    Web-based technology for storage and processing of multi-component data in seismology – First steps towards a new design zur Erlangung des Doktorgrades der Fakultät für Geowissenschaften der Ludwig-Maximilians-Universität München vorgelegt am 16. September 2009 von Robert Barsch 1. Gutachter: Prof. Dr. Heiner Igel 2. Gutachter: Prof. Dr. Hans-Peter Bunge Tag der mündlichen Prüfung: 21.12.2009 Summary Seismic databases and processing tools currently available are mainly limited to classic three- component seismic recordings and cannot handle collocated multi-component, multi-disciplinary datasets easily. Further, these seismological databases depend on event-related data and are not able to manage state of the art continuous waveform data input as well. None of them allows for automated request of data available at seismic data centers or to share specific data to users outside one institute. Some seismic databases even depend on licensed database engines, which contradicts the open source character of most software packages used in seismology. This study intends to provide a suitable answer to the deficiencies of existing seismic databases. SeisHub is a novel web-based database approach created for archiving, processing, and sharing geophysical data and meta data (data describing data), particularly adapted for seismic data. The implemented database prototype offers the full functionality of a native XML database combined with the versatility of a RESTful Web service. The XML database itself uses a standard relational database as back-end, which is currently tested with PostgreSQL (http://www.postgres.org) and SQLite (http://www.sqlite.org). This sophisticated structure allows for the usage of both worlds: on the one hand the power of the SQL for querying and manipulating data, and one the other hand the freedom to use any standard connected to XML, e.g.
    [Show full text]
  • Obspy Tutorial Release 1.2.0
    ObsPy Tutorial Release 1.2.0 The ObsPy Development Team ([email protected]) March 07 06 o’clock, 2020 CONTENTS 1 Introduction to ObsPy 3 1.1 Python Introduction for Seismologists..................................3 1.2 UTCDateTime..............................................4 1.3 Reading Seismograms..........................................5 1.4 Waveform Plotting Tutorial.......................................6 1.5 Retrieving Data from Data Centers...................................8 1.6 Filtering Seismograms.......................................... 11 1.7 Downsampling Seismograms...................................... 11 1.8 Merging Seismograms.......................................... 12 1.9 Beamforming - FK Analysis....................................... 13 1.10 Seismogram Envelopes.......................................... 17 1.11 Plotting Spectrograms.......................................... 18 1.12 Trigger/Picker Tutorial.......................................... 19 1.13 Poles and Zeros, Frequency Response.................................. 28 1.14 Seismometer Correction/Simulation................................... 29 1.15 Clone an Existing Dataless SEED File.................................. 32 1.16 Export Seismograms to MATLAB.................................... 33 1.17 Export Seismograms to ASCII...................................... 34 1.18 Anything to MiniSEED......................................... 35 1.19 Beachball Plot.............................................. 36 1.20 Basemap Plots.............................................
    [Show full text]
  • Shear Wave Velocity Database and Its Application for Analysis of Non-Ergodic Site Amplification Effects
    Shear Wave Velocity Database and Its Application for Analysis of Non-Ergodic Site Amplification Effects Pengfei Wang Paolo Zimmaro, Ph.D. Department of Civil and Environmental Engineering University of California, Los Angeles Sean K. Ahdi, Ph.D. Exponent Los Angeles, CA Dong Youp Kwak, Ph.D. Hanyang University Ansan, South Korea Principal Investigator: Jonathan P. Stewart, Ph.D., PE Department of Civil and Environmental Engineering University of California, Los Angeles A report on research conducted with support from the US Geological Survey, California Strong Motion Instrumentation Program, and Consortium of Organizations for Strong Motion Observation Systems Civil & Environmental Engineering Department University of California, Los Angeles December 2019 ABSTRACT This project was comprised of two distinct yet mutually beneficial tasks. The first was the establishment of a United States Community VS Profile Database (PDB). The second involved the use of that database to support ground motion studies that establish observation-based site response at ground motion recording stations and then seek to establish the degree to which it can be estimated using alternate prediction approaches. The development of the PDB has been, and continues as, a major multi-institutional effort to develop an open-access VS profile database for sites in the United States. The data described herein was collected from diverse sources that include consulting engineering reports from private industry, university research reports and other documents, federal open-file and similar reports, California state agency documents, and reports provided by electric utilities for selected sites. All data are strictly within the public domain, but much of it was for practical purposes inaccessible to most potential users.
    [Show full text]
  • Seiscomp, Its Data Model and How It Is Used in Python
    SeisComP, its data model and how it is used in Python Joachim Saul, Andres Heinloo Helmholtz Center Potsdam, German Center for Geosciences (GFZ) Jan Becker Gempa GmbH [email protected], [email protected] , ORFEUS Observatory Meeting 2015, Bucharest SeisComP meets ObsPy What is SeisComP? • Software package for seismological data acquisition, distribution, quality control, archival and analysis in real time • GUIs for quick manual interaction, event visualization and state-of-health monitoring • Modular architecture, plugins, QuakeML-like data model • Distributed processing through messaging • Support for standards: SEED, SeedLink, QuakeML, FDSN StationXML, FDSN web services • Framework for seismological software development • Nowadays 99 percent written in C++ (≈490 000 lines) • Easily extensible through its Python interface SeisComP, its data model and how it is used in Python 1 = 34 Evolution of the SeisComP software package • Originally designed as acquisition and archiving software for the GEOFON data center at GFZ Potsdam (Germany) • SeedLink as core protocol and software has become a de-facto standard in Europe since 2001 and is adopted world-wide • Since 2003 (after the Algeria earthquake) development of simple automatic analysis tools • Since 2005 (version 2) with multi-channel picker, global associator/locator, since 2006 prototype version of mB magnitude no integrated interactive analysis • ArcLink for distributed archives (waveforms and meta data) • Mid of 2006 start of SeisComP 3 core (communication, database) • SeisComP 3 GUI development starting in end of 2006 SeisComP, its data model and how it is used in Python 2 = 34 Evolution of the SeisComP software package • May 2007 deployment of first SeisComP3 prototype in Indonesia • May 2008 first SeisComP 3 User Group (SC3UG) meeting, software training and release (Barcelona) • May 2009 further training and public release (Erice) incl.
    [Show full text]
  • DATA EXCHANGE in GEOTECHNICAL ENGINEERING by Nazila Mokarram a Dissertation Presented to the FACULTY of the USC GRADUATE SCHOOL
    DATA EXCHANGE IN GEOTECHNICAL ENGINEERING by Nazila Mokarram A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (CIVIL ENGINEERING) December 2010 Copyright 2010 Nazila Mokarram Dedication to my parents Nourintaj Pashaeirad, Ali Mokarram my sister Nazanin Mokarram and my husband Soheil Seiqali ii Acknowledgments I would like to express my gratitude to everyone who has helped me with this study. Particularly, my sincere gratitude goes to my advisor, Prof. Jean-Pierre Bardet, for his guidance and support during the entire course of my doctoral program. Special thanks are extended to my committee members, Prof. Geoffrey R. Martin, Prof. John Wilson, and Prof. L. Carter Wellford, for their constructive criticism and advices. Special appreciation also goes to Dr. Behnam Hushmand, for his encouragement and support. I would like to recognize the special contribution and many helpful suggestions from my colleagues in the geotechnical engineering group Mr. Amir Zand and Dr. Fang Liu, who generously shared with me their knowledge and experiences. My gratitude also extends to my other colleagues Dr. Jinaping Hu, Dr. Rana Alfares, and Dr. Yangsoo Lee for building a friendly atmosphere at University of Southern California. Finally, I appreciate my family’s continuing understanding and support, especially, my best friend and husband, Soheil Seiqali, who has always been present to help me with my biggest challenges. iii Table of Contents Dedication ii Acknowledgments iii List of Tables vii List of Figures ix Abstract xiv Chapter 1. Introduction 1 1.1.
    [Show full text]