
NSF Org: |
EAR Division Of Earth Sciences |
Recipient: |
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Initial Amendment Date: | May 13, 2016 |
Latest Amendment Date: | May 13, 2016 |
Award Number: | 1614323 |
Award Instrument: | Standard Grant |
Program Manager: |
Dennis Geist
EAR Division Of Earth Sciences GEO Directorate for Geosciences |
Start Date: | June 1, 2016 |
End Date: | May 31, 2020 (Estimated) |
Total Intended Award Amount: | $78,828.00 |
Total Awarded Amount to Date: | $78,828.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
2145 N TANANA LOOP FAIRBANKS AK US 99775-0001 (907)474-7301 |
Sponsor Congressional District: |
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Primary Place of Performance: |
West Ridge Research Bldg 008 Fairbanks AK US 99775-7880 |
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): |
EARTHSCOPE-SCIENCE UTILIZATION, PREEVENTS - Prediction of and |
Primary Program Source: |
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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
Collaborative Research: Quantifying explosive volcanism in Alaska using seismo-acoustic wavefields recorded by USArray
Alaska is home to 130 potentially active volcanoes, of which more than 50 have been active in historical times. On average 2 volcanoes are in a state of eruption every year. Volcanoes in the Aleutian Islands, Alaska Peninsula, and Cook Inlet are capable of sudden, explosive, ash-cloud forming eruptions, which are potentially hazardous to passenger and freight aircraft along this heavily travelled air corridor. Many of Alaska?s volcanoes are in remote locations with harsh environments. Monitoring these volcanoes represents a formidable challenge and many of the volcanoes are not instrumented. Infrasound (acoustic waves with frequencies below the 20 Hz hearing threshold of the human ear) is a rapidly developing technology to understand and monitor explosive volcanic eruptions. Modest-sized explosive eruptions produce powerful infrasound signals that propagate efficiently over thousands of kilometers in the atmosphere. However, to date, these signals have been recorded by sparse infrasound sensor networks, limiting our understanding of their source generation and propagation through the atmosphere. The EarthScope Transportable Array (TA) is currently being deployed in Alaska, bringing the densest ever combined seismic and infrasonic network to one of the world?s most active volcanic regions. Exploiting this novel dataset, this project will advance the capability of acoustic early warning systems of volcanic eruptions for aviation safety and will assess the potential contribution of large sensor networks such as the TA to volcano monitoring. At the end of the project, an operational volcano-acoustic monitoring system resulting from this work will be implemented at the Alaska Volcano Observatory.
This work will capitalize on the unprecedented seismo-acoustic dataset starting to become available as the TA records Alaska?s routine explosive volcanism with dense spatial wavefield sampling. Volcano seismo-acoustics is a rapidly advancing research field, where basic questions remain on the source mechanisms, source directionality, atmospheric propagation, and seismo-acoustic coupling from explosive volcanic eruptions. This project will focus on detection, discrimination, and location of the signals using novel methods; quantifying the seismo-acoustic wavefield; investigating the source mechanisms; quantifying seismo-acoustic wave coupling; and understanding infrasound propagation in the spatio-temporally varying atmosphere. Through a combination of data analysis and modeling, we will characterize and quantify diverse seismic and infrasonic signals recorded at a range of distances and directions from the explosive eruption source. We will address the following questions: (1) How do observed acoustic and seismic signals from explosive volcanic eruptions vary with distance and azimuth to the source? (2) How does acoustic propagation differ for various types of explosive eruptions? (3) What kind of volcanic source information can be determined from long-range seismo-acoustic data? (4) What are the wavefield sampling limitations in previous volcano infrasound studies? (5) What other infrasound sources are present in Alaska? Our team will work with the EarthScope National Office at the University of Alaska Fairbanks to help highlight this research and its impacts. Multi-media products illustrating seismo-acoustic wavefields from volcanic eruptions in Alaska will be distributed via the web for use in public information packets and education and outreach. Event catalogs and related data products will be publically available, with notable infrasound events uploaded to the IRIS TA Infrasound Reference Event Database (TAIRED).
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.
Alaska is home to 54 historically active volcanoes, many of which are in remote locations with harsh environments and sometimes spare local instrumentation. These volcanoes erupt 2-4 times per year on average, and monitoring these eruptions represents a formidable challenge. This was exemplified by the 2016-17 Bogoslof Volcano eruption, which had no local monitoring instruments, erupted unexpectedly in December 2016, and had over 70 explosive eruptions. Infrasound (acoustic waves with frequencies below the 20 Hz hearing threshold of the human ear) is a rapidly developing technology to understand and monitor explosive volcanic eruptions. Even modest-sized explosive eruptions produce powerful infrasound signals that can be recorded thousands of miles away. The EarthScope Transportable Array (TA) was recently deployed across Alaska and brought the densest ever combined seismic and infrasonic network to one of the world?s most active volcanic regions.
Our multidisciplinary project between the University of Alaska Fairbanks (UAF), University of California Santa Barbara (UCSB), and the Alaska Volcano Observatory (AVO) analyzed the infrasound and seismic signals from volcanic eruptions recorded on the TA and other relevant geophysical networks. We focused on signals from the 2016 Pavlof Volcano eruption, 2016-17 Bogoslof Volcano eruptions, and large ice-rock avalanches on Iliamna Volcano. The Pavlof eruption was the first eruption recorded on the TA. We compared the seismic and infrasound tremor signals from Pavlof with the ash plume height and found a compelling time-dependent relationship that we believe is related to changes in the tremor source and conduit erosion. This time-dependent relationship has clear implications for volcanic hazard mitigation. A follow-up project led by a graduate student at UAF derived a physical model to help explain these signals. Another graduate student led the analysis and modeling of the seismic and infrasound signals from the Iliamna Volcano avalanches.
This project also focused on the development of an algorithm to detect and locate infrasound signals across the TA and other networks. A UCSB graduate student applied this algorithm to the Bogoslof eruptions and found a select and time-varying portion of the infrasound stations in Alaska detect each eruption, so proper algorithm parameterization appears key to successful detection and location.
The results and algorithms from this project are currently being used by AVO and have shown that infrasound is a powerful tool for detecting, locating, and characterizing volcanic eruptions in Alaska and beyond. This project involved multiple graduate students and results were disseminated to both the scientific community and general public through numerous publications, presentations, and news stories.
Last Modified: 09/28/2020
Modified by: David Fee
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