Earthquake Relocation
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Growing Wealth of Aseismic Deformation Data: What's a Modeler to Model?
The Growing Wealth of Aseismic Deformation Data: What's a Modeler to Model? Evelyn Roeloffs U.S. Geological Survey Earthquake Hazards Team Vancouver, WA Topics • Pre-earthquake deformation-rate changes – Some credible examples • High-resolution crustal deformation observations – borehole strain – fluid pressure data • Aseismic processes linking mainshocks to aftershocks • Observations possibly related to dynamic triggering The Scientific Method • The “hypothesis-testing” stage is a bottleneck for earthquake research because data are hard to obtain • Modeling has a role in the hypothesis-building stage http://www.indiana.edu/~geol116/ Modeling needs to lead data collection • Compared to acquiring high resolution deformation data in the near field of large earthquakes, modeling is fast and inexpensive • So modeling should perhaps get ahead of reproducing observations • Or modeling could look harder at observations that are significant but controversial, and could explore a wider range of hypotheses Earthquakes can happen without detectable pre- earthquake changes e.g.Parkfield M6 2004 Deformation-Rate Changes before the Mw 6.6 Chuetsu earthquake, 23 October 2004 Ogata, JGR 2007 • Intraplate thrust earthquake, depth 11 km • GPS-detected rate changes about 3 years earlier – Moment of pre-slip approximately Mw 6.0 (1 div=1 cm) – deviations mostly in direction of coseismic displacement – not all consistent with pre-slip on the rupture plane Great Subduction Earthquakes with Evidence for Pre-Earthquake Aseismic Deformation-Rate Changes • Chile 1960, Mw9.2 – 20-30 m of slow interplate slip over a rupture zone 920+/-100 km long, starting 20 minutes prior to mainshock [Kanamori & Cipar (1974); Kanamori & Anderson (1975); Cifuentes & Silver (1989) ] – 33-hour foreshock sequence north of the mainshock, propagating toward the mainshock hypocenter at 86 km day-1 (Cifuentes, 1989) • Alaska 1964, Mw9.2 • Cascadia 1700, M9 Microfossils => Sea level rise before1964 Alaska M9.2 • 0.12± 0.13 m sea level rise at 4 sites between 1952 and 1964 Hamilton et al. -
Earthquake Measurements
EARTHQUAKE MEASUREMENTS The vibrations produced by earthquakes are detected, recorded, and measured by instruments call seismographs1. The zig-zag line made by a seismograph, called a "seismogram," reflects the changing intensity of the vibrations by responding to the motion of the ground surface beneath the instrument. From the data expressed in seismograms, scientists can determine the time, the epicenter, the focal depth, and the type of faulting of an earthquake and can estimate how much energy was released. Seismograph/Seismometer Earthquake recording instrument, seismograph has a base that sets firmly in the ground, and a heavy weight that hangs free2. When an earthquake causes the ground to shake, the base of the seismograph shakes too, but the hanging weight does not. Instead the spring or string that it is hanging from absorbs all the movement. The difference in position between the shaking part of the seismograph and the motionless part is Seismograph what is recorded. Measuring Size of Earthquakes The size of an earthquake depends on the size of the fault and the amount of slip on the fault, but that’s not something scientists can simply measure with a measuring tape since faults are many kilometers deep beneath the earth’s surface. They use the seismogram recordings made on the seismographs at the surface of the earth to determine how large the earthquake was. A short wiggly line that doesn’t wiggle very much means a small earthquake, and a long wiggly line that wiggles a lot means a large earthquake2. The length of the wiggle depends on the size of the fault, and the size of the wiggle depends on the amount of slip. -
Energy and Magnitude: a Historical Perspective
Pure Appl. Geophys. 176 (2019), 3815–3849 Ó 2018 Springer Nature Switzerland AG https://doi.org/10.1007/s00024-018-1994-7 Pure and Applied Geophysics Energy and Magnitude: A Historical Perspective 1 EMILE A. OKAL Abstract—We present a detailed historical review of early referred to as ‘‘Gutenberg [and Richter]’s energy– attempts to quantify seismic sources through a measure of the magnitude relation’’ features a slope of 1.5 which is energy radiated into seismic waves, in connection with the parallel development of the concept of magnitude. In particular, we explore not predicted a priori by simple physical arguments. the derivation of the widely quoted ‘‘Gutenberg–Richter energy– We will use Gutenberg and Richter’s (1956a) nota- magnitude relationship’’ tion, Q [their Eq. (16) p. 133], for the slope of log10 E versus magnitude [1.5 in (1)]. log10 E ¼ 1:5Ms þ 11:8 ð1Þ We are motivated by the fact that Eq. (1)istobe (E in ergs), and especially the origin of the value 1.5 for the slope. found nowhere in this exact form in any of the tra- By examining all of the relevant papers by Gutenberg and Richter, we note that estimates of this slope kept decreasing for more than ditional references in its support, which incidentally 20 years before Gutenberg’s sudden death, and that the value 1.5 were most probably copied from one referring pub- was obtained through the complex computation of an estimate of lication to the next. They consist of Gutenberg and the energy flux above the hypocenter, based on a number of assumptions and models lacking robustness in the context of Richter (1954)(Seismicity of the Earth), Gutenberg modern seismological theory. -
What Is an Earthquake?
A Violent Pulse: Earthquakes Chapter 8 part 2 Earthquakes and the Earth’s Interior What is an Earthquake? Seismicity • ‘Earth shaking caused by a rapid release of energy.’ • Seismicity (‘quake or shake) cause by… – Energy buildup due tectonic – Motion along a newly formed crustal fracture (or, stresses. fault). – Cause rocks to break. – Motion on an existing fault. – Energy moves outward as an expanding sphere of – A sudden change in mineral structure. waves. – Inflation of a – This waveform energy can magma chamber. be measured around the globe. – Volcanic eruption. • Earthquakes destroy – Giant landslides. buildings and kill people. – Meteorite impacts. – 3.5 million deaths in the last 2000 years. – Nuclear detonations. • Earthquakes are common. Faults and Earthquakes Earthquake Concepts • Focus (or Hypocenter) - The place within Earth where • Most earthquakes occur along faults. earthquake waves originate. – Faults are breaks or fractures in the crust… – Usually occurs on a fault surface. – Across which motion has occurred. – Earthquake waves expand outward from the • Over geologic time, faulting produces much change. hypocenter. • The amount of movement is termed displacement. • Epicenter – Land surface above the focus pocenter. • Displacement is also called… – Offset, or – Slip • Markers may reveal the amount of offset. Fence separated by fault 1 Faults and Fault Motion Fault Types • Faults are like planar breaks in blocks of crust. • Fault type based on relative block motion. • Most faults slope (although some are vertical). – Normal fault • On a sloping fault, crustal blocks are classified as: • Hanging wall moves down. – Footwall (block • Result from extension (stretching). below the fault). – Hanging wall – Reverse fault (block above • Hanging wall moves up. -
Hypocenter and Focal Mechanism Determination of the August 23, 2011 Virginia Earthquake Aftershock Sequence: Collaborative Research with VA Tech and Boston College
Final Technical Report Award Numbers G13AP00044, G13AP00043 Hypocenter and Focal Mechanism Determination of the August 23, 2011 Virginia Earthquake Aftershock Sequence: Collaborative Research with VA Tech and Boston College Martin Chapman, John Ebel, Qimin Wu and Stephen Hilfiker Department of Geosciences Virginia Polytechnic Institute and State University 4044 Derring Hall Blacksburg, Virginia, 24061 (MC, QW) Department of Earth and Environmental Sciences Boston College Devlin Hall 213 140 Commonwealth Avenue Chestnut Hill, Massachusetts 02467 (JE, SH) Phone (Chapman): (540) 231-5036 Fax (Chapman): (540) 231-3386 Phone (Ebel): (617) 552-8300 Fax (Ebel): (617) 552-8388 Email: [email protected] (Chapman), [email protected] (Ebel), [email protected] (Wu), [email protected] (Hilfiker) Project Period: July 2013 - December, 2014 1 Abstract The aftershocks of the Mw 5.7, August 23, 2011 Mineral, Virginia, earthquake were recorded by 36 temporary stations installed by several institutions. We located 3,960 aftershocks from August 25, 2011 through December 31, 2011. A subset of 1,666 aftershocks resolves details of the hypocenter distribution. We determined 393 focal mechanism solutions. Aftershocks near the mainshock define a previously recognized tabular cluster with orientation similar to a mainshock nodal plane; other aftershocks occurred 10-20 kilometers to the northeast. Detailed relocation of events in the main tabular cluster, and hundreds of focal mechanisms, indicate that it is not a single extensive fault, but instead is comprised of at least three and probably many more faults with variable orientation. A large percentage of the aftershocks occurred in regions of positive Coulomb static stress change and approximately 80% of the focal mechanism nodal planes were brought closer to failure. -
Earthquake Location Accuracy
Theme IV - Understanding Seismicity Catalogs and their Problems Earthquake Location Accuracy 1 2 Stephan Husen • Jeanne L. Hardebeck 1. Swiss Seismological Service, ETH Zurich 2. United States Geological Survey How to cite this article: Husen, S., and J.L. Hardebeck (2010), Earthquake location accuracy, Community Online Resource for Statistical Seismicity Analysis, doi:10.5078/corssa-55815573. Available at http://www.corssa.org. Document Information: Issue date: 1 September 2010 Version: 1.0 2 www.corssa.org Contents 1 Motivation .................................................................................................................................................. 3 2 Location Techniques ................................................................................................................................... 4 3 Uncertainty and Artifacts .......................................................................................................................... 9 4 Choosing a Catalog, and What to Expect ................................................................................................ 25 5 Summary, Further Reading, Next Steps ................................................................................................... 30 Earthquake Location Accuracy 3 Abstract Earthquake location catalogs are not an exact representation of the true earthquake locations. They contain random error, for example from errors in the arrival time picks, as well as systematic biases. The most important source of systematic -
Evaluation of Automatic Hypocenter Determination in the JMA Unified
Tamaribuchi Earth, Planets and Space (2018) 70:141 https://doi.org/10.1186/s40623-018-0915-4 FULL PAPER Open Access Evaluation of automatic hypocenter determination in the JMA unifed catalog Koji Tamaribuchi* Abstract The Japan Meteorological Agency (JMA) unifed seismic catalog has been widely used for research and disaster pre- vention purposes for more than 20 years. Since the introduction in April 2016 of an improved method of automatic hypocenter determinations (PF method), the number of detected earthquakes has almost doubled due to a decrease in the completeness magnitude around the Tohoku region, where seismicity has been very active in the aftermath of the 2011 Tohoku earthquake. Automatically processed hypocenters of small events, accepted without manual modifcation, now make up approximately 70% of new events in the JMA unifed catalog. In this paper, we show that the introduction of automated processing did not systematically bias the quality of the JMA unifed catalog. Approxi- mately 90% of automatically processed hypocenters were less than 1 km from their manually reviewed locations in inland and shallow areas. We also considered the use of automated event characterization in real-time monitoring of earthquake sequences using the example of the April 2016 Kumamoto earthquake sequence, when the PF method could have supplied the catalog with about 70,000 events in real time over the course of 2 months. We show that the PF method is capable of monitoring the migration or expansion of the hypocentral distribution and can support sta- tistical analyses such as variations of the b-value distribution. Further improvements in automatic hypocenter deter- mination will contribute to a better understanding of seismicity as well as rapid risk assessment, especially in cases of swarms and aftershocks. -
Mamuju–Majene
Supendi et al. Earth, Planets and Space (2021) 73:106 https://doi.org/10.1186/s40623-021-01436-x EXPRESS LETTER Open Access Foreshock–mainshock–aftershock sequence analysis of the 14 January 2021 (Mw 6.2) Mamuju–Majene (West Sulawesi, Indonesia) earthquake Pepen Supendi1* , Mohamad Ramdhan1, Priyobudi1, Dimas Sianipar1, Adhi Wibowo1, Mohamad Taufk Gunawan1, Supriyanto Rohadi1, Nelly Florida Riama1, Daryono1, Bambang Setiyo Prayitno1, Jaya Murjaya1, Dwikorita Karnawati1, Irwan Meilano2, Nicholas Rawlinson3, Sri Widiyantoro4,5, Andri Dian Nugraha4, Gayatri Indah Marliyani6, Kadek Hendrawan Palgunadi7 and Emelda Meva Elsera8 Abstract We present here an analysis of the destructive Mw 6.2 earthquake sequence that took place on 14 January 2021 in Mamuju–Majene, West Sulawesi, Indonesia. Our relocated foreshocks, mainshock, and aftershocks and their focal mechanisms show that they occurred on two diferent fault planes, in which the foreshock perturbed the stress state of a nearby fault segment, causing the fault plane to subsequently rupture. The mainshock had relatively few after- shocks, an observation that is likely related to the kinematics of the fault rupture, which is relatively small in size and of short duration, thus indicating a high stress-drop earthquake rupture. The Coulomb stress change shows that areas to the northwest and southeast of the mainshock have increased stress, consistent with the observation that most aftershocks are in the northwest. Keywords: Mamuju–Majene, Earthquake, Relocation, Rupture, Stress-change Introduction mainshock from two of the nearest stations in Mamuju On January 14, 2021, a destructive earthquake (Mw 6.2) and Majene are 95.9 and 92.8 Gals, respectively, equiva- between Mamuju and Majene, West Sulawesi, Indonesia, lent to VI on the MMI scale (Additional fle 1: Figure S1). -
Locating Earthquakes
Locating Earthquakes How can we quickly estimate earthquake location (2 ways)? What can complicate these estimates? How are such estimates made in the real world? Global Seismic Network • About 150 stations - mostly broadband and 3 components • Detects M4 and larger events worldwide • Partly funded to aid in nuclear test ban verification USA quakes this past week Canada quakes this past month from Advanced National Seismic System (ANSS) (almost 100 broadband from Canada National Seismograph seismometers [backbone array] plus Network (CNSN) (100 seismographs of several locally run networks). various types, plus 60 accelerometers) http://earthquake.usgs.gov/earthquakes/recenteqsww/ http://earthquakescanada.nrcan.gc.ca/index-eng.php Maps/region/N_America.php Japan http://www.jma.go.jp/jma/ each dot is a en/Activities/image/earth- seismometer! fig02.png red dots: seismometers in boreholes, operated by JMA (“Hi-Net”) US Earthscope Project • reference network (permanent) • transportable array (marching across the lower 48, 2-year deployments) (*coming soon to Quebec!* If they have any sense itʼll go to Alaska via BC...) • flexible arrays (instruments for local, temporary seismic arrays) Locating earthquakes using seismometer networks Recall: Seismic wave speed depends on: ! 1) incompressibility (K) resistance to volume change ! 2) rigidity (") resistance to distortion or bending (=0 for fluids) ! 3) density (#) mass per cubic meter P Waves S Waves 4 µ K + 3 µ Vp = Vs = ! ρ ρ ! Locating Earthquakes (1): s-p lag time How far was the earthquake from my seismograph? ts = D /vs. tp = D /vp. focus distance D seismometer Subtract P-wave travel time (“tp”) from S-wave travel time (“ts”) to get S-P lag time (“ts - tp”). -
Analysis of the 1986 Mt. Lewis, California, Earthquake: Preshock Sequence-Mainshock-Aftershock Sequence
Physics of the Earth and Planetary Interiors, 75 (1993) 267-288 267 Elsevier Science Publishers B.V., Amsterdam Analysis of the 1986 Mt. Lewis, California, earthquake: preshock sequence-mainshock-aftershock sequence Yi Zhou, Karen C. McNally and Thorne Lay Institute of Tectonics and C\ F. Richter Seismological Laboratory, Unil.,ersity of California, Santa Cruz, CA 95064, USA (Received 27 April 1992; revision accepted 7 July 1992) ABSTRACT Zhou, Y., McNally, K.C. and Lay, T., 1993. Analysis of the 1986 Mr. Lewis, California, earthquake: preshock sequence- mainshock-aftershock sequence. Phys. Earth Planet. Inter.. 75: 267-288. The 1986 Mt. Lewis earthquake (M L = 5.7) occurred on a right-lateral fault northeast of and oblique to the Calaveras fault in a region that had not experienced significant seismicity since 1943. Data from the nearby Lawrence Livermore Seismic Network and selected U.S. Geological Survey stations are used to relocate events within 15 km of the mainshock epicenter during the period 1980-1987, using the master-event method. Beginning 17 months before the mainshock, 22 events ruptured in the depth range 5-9 km within 1.4 km and northwest of the mainshock epicenter, in an area subsequently almost devoid of aftershocks. This cluster of preshock activity is clearly separated both spatially and temporally from the background activity in the surrounding area. Composite focal mechanisms for the preshocks and for nearby aftershocks suggest that there are two slightly different focal mechanisms amongst the preshocks, one being similar to the mainshock and aftershocks and one being rotated in strike. Cross-correlations of digitally recorded short-period waveforms of 10 of the clustered preshocks (Mu. -
Catalog of Earthquake Hypocenters at Alaskan Volcanoes: January 1 Through December 31, 2004
Catalog of Earthquake Hypocenters at Alaskan Volcanoes: January 1 through December 31, 2004 By James P. Dixon,1 Scott D. Stihler,2 John A. Power,3 Guy Tytgat,2 Steve Estes,2 Stephanie Prejean,3 John J. Sánchez,2 Rebecca Sanches,2 Stephen R. McNutt,2 and John Paskievitch3 Open-File Report 2005-1312 2005 Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. U.S. DEPARTMENT OF THE INTERIOR U.S. GEOLOGICAL SURVEY 1 U. S. Geological Survey - Alaska Science Center, 903 Koyukuk Drive, Fairbanks, AK 99775-7320 2 University of Alaska Fairbanks - Geophysical Institute, 903 Koyukuk Drive, Fairbanks, AK 99775-7320 3 U. S. Geological Survey - Alaska Science Center, 4200 University Drive, Anchorage, AK 99508-4667 2 CONTENTS Introduction............................................................................................... 3 Instrumentation ......................................................................................... 5 Data Acquisition and Reduction ................................................................ 9 Velocity Models....................................................................................... 11 Seismicity ................................................................................................ 12 Summary.................................................................................................. 16 References ............................................................................................... 17 Appendix A: Maps -
Relationship Between the Detailed Hypocenter Distribution and The
Relationship between the detailed hypocenter distribution and the velocity structure in the western Nagano Prefecture, central Japan, derived from travel time tomography using dense array data Issei DOI1, Shunta NODA1,3, Yoshihisa IIO1, Shigeki Horiuchi2 and Shoji SEKIGUCHI2 1Disaster Prevention Research Institute, Kyoto University 2National Research Institute for Earth Science and Disaster Prevention 3 Railway Technical Research Institute We conducted three-dimensional travel time tomography in and around the source region of the 1984 Western Nagano Prefecture Earthquake to investigate the generation process of the mainshock and swarm activity near the source. As many as about 250,000 travel time data of good quality (1 ms error) from a dense network were compiled and we obtained hypocentral distribution and three-dimensional P wave velocity structure with high accuracy and resolution. Most of the estimated hypocenters were aligned in lines or planes, not in the form of masses. We found the hypocenter distribution corresponding to the mainshock fault plane, and it was sandwiched by high-velocity regions on both horizontal sides. A low-velocity region spreading horizontally at the bottom of this hypocenter alignment was also seen. In the northeastern side of the mainshock fault, where there is swarm activity, we detected several other alignments of hypocenters, most of which may be located at the boundaries of geological strata. A low-velocity region was also found at the bottom of some of these alignments. This low-velocity region may be due to fluids from below the seismogenic zone. The generation of both the mainshock and the swarm activity might be related to fluid intrusions from the lower side of the hypocenter alignments.