Appendix D—Compilation of Creep Rate Data for California Faults and Calculation of Moment Reduction Due to Creep
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3.6 Geology and Soils
3. Environmental Setting, Impacts, and Mitigation Measures 3.6 Geology and Soils 3.6 Geology and Soils This section describes and evaluates potential impacts related to geology and soils conditions and hazards, including paleontological resources. The section contains: (1) a description of the existing regional and local conditions of the Project Site and the surrounding areas as it pertains to geology and soils as well as a description of the Adjusted Baseline Environmental Setting; (2) a summary of the federal, State, and local regulations related to geology and soils; and (3) an analysis of the potential impacts related to geology and soils associated with the implementation of the Proposed Project, as well as identification of potentially feasible mitigation measures that could mitigate the significant impacts. Comments received in response to the NOP for the EIR regarding geology and soils can be found in Appendix B. Any applicable issues and concerns regarding potential impacts related to geology and soils that were raised in comments on the NOP are analyzed in this section. The analysis included in this section was developed based on Project-specific construction and operational features; the Paleontological Resources Assessment Report prepared by ESA and dated July 2019 (Appendix I); and the site-specific existing conditions, including geotechnical hazards, identified in the Preliminary Geotechnical Report prepared by AECOM and dated September 14, 2018 (Appendix H).1 3.6.1 Environmental Setting Regional Setting The Project Site is located in the northern Peninsular Ranges geomorphic province close to the boundary with the Transverse Ranges geomorphic province. The Transverse Ranges geomorphic province is characterized by east-west trending mountain ranges that include the Santa Monica Mountains. -
Fremont Earthquake Exhibit WALKING TOUR of the HAYWARD FAULT (Tule Ponds at Tyson Lagoon to Stivers Lagoon)
Fremont Earthquake Exhibit WALKING TOUR of the HAYWARD FAULT (Tule Ponds at Tyson Lagoon to Stivers Lagoon) BACKGROUND INFORMATION The Hayward Fault is part of the San Andreas Fault system that dominates the landforms of coastal California. The motion between the North American Plate (southeastern) and the Pacific Plate (northwestern) create stress that releases energy along the San Andreas Fault system. Although the Hayward Fault is not on the boundary of plate motion, the motion is still relative and follows the general relative motion as the San Andreas. The Hayward Fault is 40 miles long and about 8 miles deep and trends along the east side of San Francisco Bay. North to south, it runs from just west of Pinole Point on the south shore of San Pablo Bay and through Berkeley (just under the western rim of the University of California’s football stadium). The Berkeley Hills were probably formed by an upward movement along the fault. In Oakland the Hayward Fault follows Highway 580 and includes Lake Temescal. North of Fremont’s Niles District, the fault runs along the base of the hills that rise abruptly from the valley floor. In Fremont the fault runs within a wide fault zone. Around Tule Ponds at Tyson Lagoon the fault splits into two traces and continues in a downwarped area and turns back into one trace south of Stivers Lagoon. When a fault takes a “side step” it creates pull-apart depressions and compression ridges which can be seen in this area. Southward, the fault lies between the 1 lowest, most westerly ridge of the Diablo Range and the main mountain ridge to the east. -
And Short-Term Stress Interaction of the 2019 Ridgecrest Sequence and Coulomb-Based Earthquake Forecasts Shinji Toda*1 and Ross S
Special Section: 2019 Ridgecrest, California, Earthquake Sequence Long- and Short-Term Stress Interaction of the 2019 Ridgecrest Sequence and Coulomb-Based Earthquake Forecasts Shinji Toda*1 and Ross S. Stein2 ABSTRACT We first explore a series of retrospective earthquake interactions in southern California. M ≥ ∼ We find that the four w 7 shocks in the past 150 yr brought the Ridgecrest fault 1 bar M M closer to failure. Examining the 34 hr time span between the w 6.4 and w 7.1 events, M M we calculate that the w 6.4 event brought the hypocentral region of the w 7.1 earth- M quake 0.7 bars closer to failure, with the w 7.1 event relieving most of the surrounding M stress that was imparted by the first. We also find that the w 6.4 cross-fault aftershocks M shut down when they fell under the stress shadow of the w 7.1. Together, the Ridgecrest mainshocks brought a 120 km long portion of the Garlock fault from 0.2 to 10 bars closer to failure. These results motivate our introduction of forecasts of future seismicity. Most attempts to forecast aftershocks use statistical decay models or Coulomb stress transfer. Statistical approaches require simplifying assumptions about the spatial distribution of aftershocks and their decay; Coulomb models make simplifying assumptions about the geometry of the surrounding faults, which we seek here to remove. We perform a rate– state implementation of the Coulomb stress change on focal mechanisms to capture fault complexity. After tuning the model through a learning period to improve its forecast abil- ity, we make retrospective forecasts to assess model’s predictive ability. -
More Fault Connectivity Is Needed in Seismic Hazard Analysis
More Fault Connectivity Is Needed in Seismic Hazard Analysis Morgan T. Page*1 ABSTRACT Did the third Uniform California Earthquake Rupture Forecast (UCERF3) go overboard with multifault ruptures? Schwartz (2018) argues that there are too many long ruptures in the model. Here, I address his concern and show that the UCERF3 rupture-length distribution matches empirical data. I also present evidence that, if anything, the UCERF3 model could be improved by adding more connectivity to the fault system. Adding more connectivity would improve model misfits with data, particularly with paleoseismic data on the southern San Andreas fault; make the model less characteristic on the faults; potentially improve aftershock forecasts; and reduce model sensitivity to inadequacies and unknowns in the modeled fault system. Furthermore, I argue that not only was the inclusion of mul- KEY POINTS tifault ruptures an improvement on past practice, as it allows • The UCERF3 model has a rupture-length distribution that the model to include ruptures much like those that have been matches empirical data. observed in the past, but also that there is still further progress • Adding more connectivity to UCERF3 would improve data that can be made in this direction. Further increasing connec- misfits. tivity in hazard models such as UCERF will reduce model mis- • More connectivity in seismic hazard models would make fits, as well as make the model less sensitive to inadequacies in them less sensitive to fault model uncertainties. the fault model and provide a better approximation of the Supplemental Material natural system. RUPTURE-LENGTH DISTRIBUTION In a recent article, Schwartz (2018) criticizes the UCERF3 INTRODUCTION model and suggests that it has too many long ruptures (i.e., The third Uniform California Earthquake Rupture Forecast those with rupture lengths ≥100 km). -
Simulation Based Earthquake Forecasting with Rsqsim
Simulation Based Earthquake Forecasting with RSQSim Jacqui Gilchrist Tom Jordan (USC/SCEC), Jim Dieterich (UCR), Keith Richards-Dinger (UCR), Bruce Shaw (Columbia), and Kevin Milner (USC/SCEC) SSA Annual Meeting April 18th, 2017 – Denver, CO Main Objectives Develop a physics-based forecasting model for earthquake rupture in California Produce a suite of catalogs (~50) to investigate the epistemic uncertainty in the physical parameters used in the simulations. One million years of simulated time Several million M4-M8 events Varied simulation parameters and fault models Compare with other models (UCERF3) to see what we can learn from the differences. RSQSim: Rate-State earthQuake Simulator (Dieterich & Richards-Dinger, 2010; Richards-Dinger & Dieterich, 2012) • Multi-cycle earthquake simulations (full cycle model) • Interseismic period -> nucleation and rupture propagation • Long catalogs • Tens of thousands to millions of years with millions of events • Complicated model geometry • 3D fault geometry; rectangular or triangular boundary elements • Different types of fault slip • Earthquakes, slow slip events, continuous creep, and afterslip • Physics based • Rate- and State-dependent friction • Foreshocks, aftershocks, and earthquake sequences • Efficient algorithm • Event driven time steps • Quasi-dynamic rupture propagation California Earthquake Forecasting Models Reid renewal Omori-Utsu clustering Simulator-based UCERF UCERF3 long-term UCERF3 short-term UCERF2 STEP/ETAS NSHM long-term short-term renewal models “medium-term gap” clustering models Century Decade Year Month Week Day Anticipation Time Use of simulations for long-term assessment of earthquake probabilities Inputs to simulations Use tuned earthquake simulations to generate earthquake rate models RSQSim Calibration Develop a model that generates an earthquake catalog that matches observed California seismicity as closely as possible. -
Structural Superposition in Fault Systems Bounding Santa Clara Valley, California
A New Three-Dimensional Look at the Geology, Geophysics, and Hydrology of the Santa Clara (“Silicon”) Valley themed issue Structural superposition bounding Santa Clara Valley Structural superposition in fault systems bounding Santa Clara Valley, California R.W. Graymer, R.G. Stanley, D.A. Ponce, R.C. Jachens, R.W. Simpson, and C.M. Wentworth U.S. Geological Survey, 345 Middlefi eld Road, MS 973, Menlo Park, California 94025, USA ABSTRACT We use the term “structural superposition” to and/or reverse-oblique faults, including the emphasize that younger structural features are Silver Creek Thrust1 (Fig. 3). The reverse and/or Santa Clara Valley is bounded on the on top of older structural features as a result of reverse-oblique faults are generated by a com- southwest and northeast by active strike-slip later tectonic deformation, such that they now bination of regional fault-normal compression and reverse-oblique faults of the San Andreas conceal or obscure the older features. We use the (Page, 1982; Page and Engebretson, 1984) fault system. On both sides of the valley, these term in contrast to structural reactivation, where combined with the restraining left-step transfer faults are superposed on older normal and/or pre existing structures accommodate additional of slip between the central Calaveras fault and right-lateral normal oblique faults. The older deformation, commonly in a different sense the southern Hayward fault (Aydin and Page, faults comprised early components of the San from the original deformation (e.g., a normal 1984; Andrews et al., 1993; Kelson et al., 1993). Andreas fault system as it formed in the wake fault reactivated as a reverse fault), and in con- Approximately two-thirds of present-day right- of the northward passage of the Mendocino trast to structural overprinting, where preexisting lateral slip on the southern part of the Calaveras Triple Junction. -
FINAL TECHNICAL REPORT Project Title: Assessment of Late Quaternary
FINAL TECHNICAL REPORT Project Title: Assessment of late Quaternary deformation, eastern Santa Clara Valley, San Francisco Bay region Recipient: William Lettis & Associates, Inc. 1777 Botelho Drive, Suite 262 Walnut Creek, California 94596 (925) 256-6070 Principal Investigators: Christopher S. Hitchcock William Lettis & Associates, Inc., 1777 Botelho Dr., Suite 262, Walnut Creek, CA 94596 (phone: 925-256-6070; email: [email protected]) Charles M. Brankman William Lettis & Associates, Inc., 1777 Botelho Dr., Suite 262, Walnut Creek, CA 94596 (phone: 925-256-6070; email: [email protected]) Program Elements: I and II U. S. Geological Survey National Earthquake Hazards Reduction Program Award Number 01HQGR0034 July 2002 Research supported by the U.S. Geological Survey (USGS), Department of the Interior, under USGS award number 01HQGR0034. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the U.S. Government. ABSTRACT A series of northwest-trending reverse faults that bound the eastern margin of Santa Clara Valley are aligned with the southern termination of the Hayward fault, and have been interpreted as structures that may transfer slip from the San Andreas and Calaveras faults to the Hayward fault. Uplift of the East Bay structural domain east of Santa Clara Valley is accommodated by this thrust fault system, which includes the east-dipping Piercy, Coyote Creek, Evergreen, Quimby, Berryessa, Crosley, and Warm Springs faults. Our study provides an evaluation of the near-surface geometry and late Quaternary surficial deformation related to reverse faulting in the eastern Santa Clara Valley. -
The 1911 M ∼6:6 Calaveras Earthquake
Bulletin of the Seismological Society of America, Vol. 99, No. 3, pp. 1746–1759, June 2009, doi: 10.1785/0120080305 The 1911 M ∼6:6 Calaveras Earthquake: Source Parameters and the Role of Static, Viscoelastic, and Dynamic Coulomb Stress Changes Imparted by the 1906 San Francisco Earthquake by Diane I. Doser, Kim B. Olsen, Fred F. Pollitz, Ross S. Stein, and Shinji Toda* Abstract The occurrence of a right-lateral strike-slip earthquake in 1911 is incon- sistent with the calculated 0:2–2:5 bar static stress decrease imparted by the 1906 rupture at that location on the Calaveras fault, and 5 yr of calculated post-1906 viscoelastic rebound does little to reload the fault. We have used all available first-motion, body-wave, and surface-wave data to explore possible focal mechanisms for the 1911 earthquake. We find that the event was most likely a right-lateral strike- slip event on the Calaveras fault, larger than, but otherwise resembling, the 1984 M 6:1 w Morgan Hill earthquake in roughly the same location. Unfortunately, we could recover no unambiguous surface fault offset or geodetic strain data to cor- roborate the seismic analysis despite an exhaustive archival search. We calculated the static and dynamic Coulomb stress changes for three 1906 source models to under- stand stress transfer to the 1911 site. In contrast to the static stress shadow, the peak dynamic Coulomb stress imparted by the 1906 rupture promoted failure at the site of the 1911 earthquake by 1.4–5.8 bar. Perhaps because the sample is small and the aftershocks are poorly located, we find no correlation of 1906 aftershock frequency or magnitude with the peak dynamic stress, although all aftershocks sustained a cal- culated dynamic stress of ≥3 bar. -
Thomas Jordan: Solving Prediction Problems in Earthquake System Science
BLUE WATERS HIGHLIGHTS SOLVING PREDICTION PROBLEMS IN EARTHQUAKE SYSTEM SCIENCE Allocation: NSF/3.4 Mnh ACCOMPLISHMENTS TO DATE PI: Thomas H. Jordan1 Collaborators: Scott Callaghan1; Robert Graves2; Kim Olsen3; Yifeng Cui4; The SCEC team has combined the Uniform California 4 4 1 1 1 Jun Zhou ; Efecan Poyraz ; Philip J. Maechling ; David Gill ; Kevin Milner ; Earthquake Rupture Forecast (UCERF), the official statewide Omar Padron, Jr.5; Gregory H. Bauer5; Timothy Bouvet5; William T. Kramer5; 6 6 6 7 model of earthquake source probabilities, with the CyberShake Gideon Juve ; Karan Vahi ; Ewa Deelman ; Feng Wang computational platform to produce urban seismic hazard 1Southern California Earthquake Center models for the Los Angeles region at seismic frequencies up 2U.S. Geological Survey to 0.5 Hz (Fig. 1). UCERF is a series of fault-based models, 3 San Diego State University released by the USGS, the California Geological Survey, and 4San Diego Supercomputer Center 5 SCEC, that build time-dependent forecasts on time-independent National Center for Supercomputing Applications 6Information Sciences Institute rate models. The second version of the time-dependent model 7AIR Worldwide (UCERF2, 2008) has been implemented, and the third version, released last summer (UCERF3, 2014), is being adapted into the Blue Waters workflow. SCIENTIFIC GOALS CyberShake uses scientific workflow tools to automate the repeatable and reliable computation of large ensembles Research by the Southern California Earthquake Center (millions) of deterministic earthquake simulations needed for (SCEC) on Blue Waters is focused on the development of physics-based PSHA (Graves et al., 2010). Each simulation physics-based earthquake forecasting models. The U.S. -
Earthquake Potential Along the Hayward Fault, California
Missouri University of Science and Technology Scholars' Mine International Conferences on Recent Advances 1991 - Second International Conference on in Geotechnical Earthquake Engineering and Recent Advances in Geotechnical Earthquake Soil Dynamics Engineering & Soil Dynamics 10 Mar 1991, 1:00 pm - 3:00 pm Earthquake Potential Along the Hayward Fault, California Glenn Borchardt USA J. David Rogers Missouri University of Science and Technology, [email protected] Follow this and additional works at: https://scholarsmine.mst.edu/icrageesd Part of the Geotechnical Engineering Commons Recommended Citation Borchardt, Glenn and Rogers, J. David, "Earthquake Potential Along the Hayward Fault, California" (1991). International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics. 4. https://scholarsmine.mst.edu/icrageesd/02icrageesd/session12/4 This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License. This Article - Conference proceedings is brought to you for free and open access by Scholars' Mine. It has been accepted for inclusion in International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics by an authorized administrator of Scholars' Mine. This work is protected by U. S. Copyright Law. Unauthorized use including reproduction for redistribution requires the permission of the copyright holder. For more information, please contact [email protected]. Proceedings: Second International Conference on Recent Advances In Geotechnical Earthquake Engineering and Soil Dynamics, March 11-15, 1991 St. Louis, Missouri, Paper No. LP34 Earthquake Potential Along the Hayward Fault, California Glenn Borchardt and J. David Rogers USA INTRODUCTION TECTONIC SETI'ING The Lorna Prieta event probably marks a renewed period of The Hayward fault is a right-lateral strike-slip fea major seismic activity in the San Francisco Bay Area. -
SSC 306 Thompson
1 San Andreas and Other Fault Sources; Background Source SSC TI Team Evaluation Steve Thompson Diablo Canyon SSHAC Level 3 PSHA Workshop #3 Feedback to Technical Integration Team on Preliminary Models March 25-27, 2014 San Luis Obispo, CA PG&E DCPP SSHAC Study PG&E DCPP SSHAC Study 2 Overview of the Preliminary SSC Model SSC Elements: Key Fault Sources San Andreas and Other Regional Fault Sources Background Source PG&E DCPP SSHAC Study 3 San Andreas and Other Fault Sources San Andreas Fault Other 200-Mile Site Region Faults Goal: Goals: Capture maximum Complete SSC within 200-mi contribution of SAF Site Region Confirm past results about contribution of “other” faults PG&E DCPP SSHAC Study 4 San Andreas Fault Approach: Approximate UCERF3 Characterization Ten Sections in 200-mi Matched a composite “Participation MFD” Overestimates UCERF3 Solution PG&E DCPP SSHAC Study 5 San Andreas Fault Source Composite Participation MFD: P SC CR Pf Ch Cz BB MN MS (SB) = 1 2 3 4 5 6 7 8 9 풊 7.0, = 9 ( ) 푀 ≤ 푅푅푅푅푇푇푇푇푇 푀 � 푅푅푅푅푖 푀 푖=1 PG&E DCPP SSHAC Study 6 San Andreas Fault Source Composite Participation MFD: P SC CR Pf Ch Cz BB MN MS (SB) = 1 2 3 4 5 6 7 8 9 풊 = 1 2 3 4 5 풌 7.0 < 7.5, = 5 ( ) 푀 ≤ 푅푅푅푅푇푇푇푇푇 푀 � 푅푅푅푅푘 푀 푘=1 PG&E DCPP SSHAC Study 7 San Andreas Fault Source Composite Participation MFD: P SC CR Pf Ch Cz BB MN MS (SB) = 1 2 3 4 5 6 7 8 9 풊 = 1 2 3 4 5 풌 = 1 2 3 풏 > 7.5, = 3 ( ) 푀 푅푅푅푅푇푇푇푇푇 푀 � 푅푅푅푅푛 푀 푛=1 PG&E DCPP SSHAC Study 8 San Andreas Fault Source Composite Participation MFD: P Ch MS P CR Ch BB MS P SC CR Pf Ch Cz BB MN MS (SB) = 1 2 -
Operational Earthquake Forecasting: Proposed Guidelines for Implementation
Southern California Earthquake Center Operational Earthquake Forecasting: Proposed Guidelines for Implementation Thomas H. Jordan Director, Southern California Earthquake Center S33D-01, AGU Meeting 14 December 2010 Southern California Earthquake Center Operational Earthquake Forecasting Authoritative information about the time dependence of seismic hazards to help communities prepare for potentially destructive earthquakes. • Seismic hazard changes with time – Earthquakes release energy and suddenly alter the tectonic forces that will eventually cause future earthquakes • Statistical models of earthquake interactions can capture many of the short-term temporal and spatial features of natural seismicity – Excitation of aftershocks and other seismic sequences • Such models can use regional seismicity to estimate short-term changes in the probabilities of future earthquakes Southern California Earthquake Center Operational Earthquake Forecasting Authoritative information about the time dependence of seismic hazards to help communities prepare for potentially destructive earthquakes. • What are the performance characteristics of current short-term forecasting methodologies? – Probability (information) gain problem • How should forecasting methods be qualified for operational use? – Validation problem • How should short-term forecasts be integrated with long-term forecasts? – Consistency problem • How should low-probability, short-term forecasts be used in decision-making related to civil protection? – Valuation problem Southern California Earthquake Center Supporting Documents • Operational Earthquake Forecasting: State of Knowledge and Guidelines for Implementation – Final Report of the International Commission on Earthquake Forecasting for Civil Protection (T. H. Jordan, chair), Dipartimento della Protezione Civile, Rome, Italy, 79 pp., December, 2010. • Operational Earthquake Forecasting: Some Thoughts on Why and How – T. H. Jordan & L. M. Jones (2010), Seismol. Res. Lett., 81, 571-574, 2010. Southern California Earthquake Center Prediction vs.