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.

Author Identifier

Jeffrey Johnson, ORCID: https://orcid.org/0000-0003-4179-8592

Amilcar Roca, ORCID: https://orcid.org/0000-0002-7920-1141

Gustavo Bejar, ORCID: https://orcid.org/0000-0002-9841-2884

Gregory Waite, ORCID: https://orcid.org/0000-0002-7092-8125

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

All information about the data files is provided in README.txt.

Time Period

August 17, 2022 and May 27 to October 13, 2022

Update Frequency

Other

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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.

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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.

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