
NSF Org: |
OCE Division Of Ocean Sciences |
Recipient: |
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Initial Amendment Date: | August 28, 2018 |
Latest Amendment Date: | February 23, 2021 |
Award Number: | 1833279 |
Award Instrument: | Continuing Grant |
Program Manager: |
Gail Christeson
gchriste@nsf.gov (703)292-2952 OCE Division Of Ocean Sciences GEO Directorate for Geosciences |
Start Date: | September 15, 2018 |
End Date: | August 31, 2023 (Estimated) |
Total Intended Award Amount: | $527,757.00 |
Total Awarded Amount to Date: | $633,245.00 |
Funds Obligated to Date: |
FY 2019 = $105,488.00 FY 2020 = $180,834.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
266 WOODS HOLE RD WOODS HOLE MA US 02543-1535 (508)289-3542 |
Sponsor Congressional District: |
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Primary Place of Performance: |
266 Woods Hole Rd Woods Hole MA US 02543-1535 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
PREEVENTS - Prediction of and, Marine Geology and Geophysics |
Primary Program Source: |
01001920DB NSF RESEARCH & RELATED ACTIVIT 01002021DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.050 |
ABSTRACT
This project will determine the fault properties that control the magnitude and timing of earthquakes on Gofar Transform Fault in the equatorial Pacific Ocean. With an advanced array of ocean bottom seismometers (OBSs), rock collection, and fault imaging, this research will produce a multifaceted understanding of two magnitude 6 earthquake zones and the regions that separate them. To ensure a continuous earthquake dataset over the period that next large earthquakes are expected, this project involves three research cruises: 1) to deploy the OBSs and collect rock samples; 2) to recover, refurbish, and redeploy the OBSs and to survey the fault-zone with an autonomous underwater vehicle (AUV); and 3) to recover the OBSs. The two-year dataset is expected to record hundreds of thousands of microearthquakes in addition to hopefully capturing the next two magnitude 6 mainshocks. This research will reach 6-12th grade students, by taking two teachers from low-income school districts in New England to sea and working with these teachers to develop curricula that can be used by teachers throughout the US. The teachers will work with project scientists and the University of New Hampshire's Center for Mathematics, Science, and Engineering Education to develop a "Curriculum Kit" - a web-based set of resources that will include classroom-based earthquake investigations, background information, and periodic classroom video chats with the Gofar experiment scientists. This project will also enhance earthquake research at the university level both nationally and internationally through the support of graduate students and postdocs. Gofar fault was chosen for this project because previous work there allows for the planning of a precise experiment aimed at imaging transitions in fault behavior over just a few kilometers. This experiment will capture the temporal evolution of the fault in unprecedented detail and link these variations to the underlying geology and fault mechanics.
Specifically, the aim of this project is to understand why oceanic transform faults are dominated by aseismic slip, have such repeatable seismic cycles, and nucleate hundreds of thousands of small earthquakes in the rupture barriers that stop large earthquakes. In particular, previous work at Gofar indicates that rupture barrier behavior cannot be explained by basic bimodal frictional properties and requires more sophisticated rheological descriptions of the fault zone. This project approaches these questions by recording the time dependence of earthquake stress drops with a strong-motion array and by estimating seismic velocities within the rupture barrier using 4 mini arrays of short-period OBSs that will allow us to use a seismic technique known as double beam forming to determine the space-time evolution of shear velocity. The project will determine if the pre-seismic changes in S-velocity are contained to a narrow fault-zone or spread throughout the wider damage zone and to what extent they extend to seismogenic depths. This research will compare the migration of the velocity anomalies, or lack thereof, with fault mechanics models to try to constrain the underlying rheology of the rupture barrier and investigate the role of dilatancy in stopping large ruptures. The project will also conduct the most comprehensive, high-resolution mapping of a RTF to date through a combination of AUV based bathymetry, backscatter, photomosaic imaging, and water column surveys along with rock dredging. This suite of studies will help clarify the roles of dilatancy and hydrothermal alteration in producing the contrasting seismic behavior between the rupture zones and rupture barrier regions.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
A major goal of earthquake science is to understand the evolution of stress, strength, and material properties in fault zones with enough precision to forecast the magnitude and timing of future earthquakes. The basic hypothesis of seismic cycles is that stress builds up for an extended period over a large portion of a fault and then is released suddenly in a large earthquake. Yet verifying this hypothesis has remained difficult because typical repeat times of large earthquakes are 50–1,000 years. Oceanic transform faults on the East Pacific Rise are ideal targets for investigating variations in seismicity, fault strength, and fluids within the context of well-known earthquake cycles. On these faults, earthquakes of approximately magnitude 6 repeat every 5–6 years.
Our project was focused on determining the fault properties that control the magnitude and timing of earthquakes on Gofar Transform Fault. To accomplish this goal, we undertook three research cruises to the equatorial Pacific Ocean to deploy an advanced array of 51 ocean bottom seismometers (OBSs) and collect sea-floor rock samples from 16 sites to provide the most comprehensive picture of an oceanic transform fault’s seismic behavior and composition that we have ever had. We also conducted 14 dives with the autonomous underwater vehicle Sentry, where we mapped the fault zone at high resolution (1-meter scale) and investigated key water column properties near the seafloor, providing additional information on the fault’s structure and hydrothermal activity.
Our observations have produced a multifaceted understanding of two magnitude 6 earthquake patches and the long-lived rupture barriers, which separate the rupture patches repeatedly struck by magnitude 6 earthquakes. Four months after our initial OBS deployment, the expected earthquake on the eastern segment of the Gofar—a magnitude 6.1 event—occurred on 22 March 2020. Very high rates of foreshocks occurred in the rupture barrier prior to the mainshock, followed by low rates of aftershocks, similar to what was observed previously on a nearby fault segment. Our results confirm that rupture barriers are common features on oceanic transform faults and, surprisingly, are where microseismicity is most abundant.
The high-resolution bathymetry shows small-scale variations in fault strike, variably present fault bends, and sub-parallel strands. These fault complexities are mostly found in rupture barriers, but are also present, to a lesser extent, in rupture patches. This partial alignment with the along-strike rupture segmentation, indicates possible changes in material and/or structural fault properties. With this new high-resolution information on surface morphology, we are exploring changes in fault structure that could influence hydrothermal fluid flow and fault lithology, and therefore influence rupture processes at depth.
Basketfuls of pillow basalts and basaltic breccias were dredged from the active fault zone, providing the first rock samples from Gofar Transform Fault. The differences in the extent of alteration of breccias and basalts recovered within the same dredges indicates that fault zone deformation of basalts to form breccias was associated with extensive fluid flow. With these rocks we are assessing the intertwined effects of damage and hydrothermal alteration and their influences on fault slip behavior.
This research is reaching K-12 and undergraduate classrooms through ‘rock buckets’ created from the abundance of basalt samples collected during dredging, which are now available for distribution to classrooms. Thus far 8 buckets have been distributed to colleges and universities for their undergraduate teaching and one more has been designated for a middle school. Our research has been integral to the career progression of 5 graduate students and 8 postdocs. Finally, prompted by challenges due to COVID, the level of onshore contributions to decisions at sea in our third research cruise was extremely high. Given the success of this cruise, we hope the approaches we used will become more common in the future, increasing access to remote science, and allowing those who cannot practically go to sea to be involved in seagoing expeditions.
In total, we recorded an unprecedented oceanic transform fault earthquake catalog of more than half a million earthquakes of magnitudes between 0 and 6.1. This catalog represents about 40% of the seismic cycle on multiple segments of the Gofar transform fault—equivalent to more than 50 years of recording on many segments of the San Andreas Fault. More Gofar Transform Fault earthquakes are just around the corner. With the integrated data set from this project, we can now better explain how, where, and when these earthquakes will occur.
Last Modified: 03/23/2024
Modified by: Mark D Behn
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