Summary & Purpose
Infrasound may be used to detect the approach of hazardous volcanic mudflows, known as lahars, tens of minutes before they arrive at a downstream monitoring station. We have analyzed signals from more than 20 secondary lahars caused by precipitation events at Fuego Volcano during Guatemala’s rainy season in May through October of 2022. We are able to quantify the capabilities of infrasound monitoring through comparison with seismic data, time lapse video footage, and high-resolution video of an event occurring on 17 August 2022. We determine that infrasound sensors, deployed adjacent to the lahar path and in small-aperture (10s of meters) array configurations, are particularly sensitive to remote detection of lahars, including relatively small-sized events, at distances greater than 5 km. At Fuego Volcano early detection can provide timely forecasts of up to 30 minutes before lahars arrive at a monitoring site. Lahars are one of the primary hazards at volcanoes and can occur both during eruption and spontaneously without an eruption. We propose that continuous infrasound monitoring can serve as a valuable tool to minimize impacts to property and people living near volcanoes.
Date of Publication or Submission
12-19-2022
DOI
https://doi.org/10.18122/infrasound_data.10.boisestate
Funding Citation
National Science Foundations (NSF) EAR Grants 1914491 and 1914526
Single Dataset or Series?
Single Dataset
Data Format
*.mat and *.txt
Data Attributes
Digital waveform data are provided as 3D matrices in a MATLAB binary format. Data are contained in two separate files, 'AUG17data.mat' and 'lahars2022data.mat', and detailed below. AUG17data.mat contains waveform data for the 17 August lahar for all seismo-acoustic data while lahars2022data.mat contains data from 22 lahars recorded at FG14. Video data are presented in compressed formats as Supplementary Materials (animations) in the paper "Infrasound Early Warning Detections for Lahars". High resolution original video can be made available for scientific or educational purposes with a request made directly to the authors of this dataset. See additional information about the data files provided in README.txt.
Time Period
August 17, 2022 and May 27 - October 13, 2022
Update Frequency
Other
Privacy and Confidentiality Statement
Boise State is explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.
Use Restrictions
Users are free to share, copy, distribute and use the dataset; to create or produce works from the dataset; to adapt, modify, transform and build upon the dataset as long as the user attributes any public use of the dataset, or works produced from the dataset, referencing the author(s) and DOI link. For any use or redistribution of the dataset, or works produced from it, the user must make clear to others the license of the dataset and keep intact any notices on the original dataset.
Disclaimer of Warranty
BOISE STATE UNIVERSITY MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN OR PROVIDED AS PART OF THE SYSTEM FOR ANY PURPOSE. ALL SUCH INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. BOISE STATE UNIVERSITY HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT.
IN NO EVENT SHALL BOISE STATE UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SYSTEM.
THE INFORMATION PROVIDED BY THE SYSTEM COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. COMPANY AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME, WITH OR WITHOUT NOTICE TO YOU.
BOISE STATE UNIVERSITY DOES NOT MAKE ANY ASSURANCES WITH REGARD TO THE ACCURACY OF THE RESULTS OR OUTPUT THAT DERIVES FROM USE OF THE SYSTEM.
Recommended Citation
Johnson, Jeffrey B.; Roca, Amilcar; Bejar, Gustavo; and Waite, Gregory P., "Dataset for Infrasound Early Warning Detections for Lahars" (2022). Boise State University Infrasound Data Repository. 10.
https://scholarworks.boisestate.edu/infrasound_data/10