Dataset for Dynamics of Rain-Triggered Lahars and Destructive Power Inferred from Seismo-Acoustic Arrays and Time-Lapse Camera Correlation at Volcán De Fuego, Guatemala
Summary & Purpose
Lahars, or volcanic mudflows, are one of the most devastating natural, volcanic hazards. Deadly lahars, such as the one that occurred after the Nevado del Ruiz, Columbia eruption in 1985, in which at least 23,000 people tragically lost their lives, threaten the safety and well-being of humans, as well as the economy and infrastructure of many of the communities living in the vicinity of volcanoes. Due to their sudden onset, variations in initiation mechanisms (rainfall, eruption-induced, or spontaneous), and complex flow behavior, lahars remain a major challenge to those studying them. We present an analysis of several rain-triggered lahar events at Volcán Fuego in Guatemala using both seismic and infrasound monitoring to quantify both the ground vibrations associated with the passing flow and detect the passage of low-frequency atmospheric sound waves associated with these mudflows, respectively. Geophysical data collected over this field campaign quantifies flow parameters such as velocities, stage height, and the frequency of these rain-triggered mudflows. Time-lapse imagery of lahar flows is compared with filtered seismo-acoustic signal characteristics to ascertain stage height predictions and relationship to stage height fluxes. Using random forest regression models, we establish moderate correlations (correlation coefficient modes 0.48-0.53) with statistical significance (p-value = 0.01-0.02) between energetics in the flows and respective stage height. We observe that energetic thresholds exist when using infrasound to detect small lahars, likely due to storm noise and co-location of sensors to cameras. Compiling a catalog of rain-triggered lahar events in Volcán de Fuego’s drainages over a season permits a dataset amenable to statistical analysis. Our goal is the development of new-generation geophysical monitoring tools that will be capable of remote and real-time estimation of flow parameters.
These data are associated with the 21 lahar events captured between May 29, 2021 and September 27, 2021 in the southeast drainage of Las Lajas at Volcán de Fuego, Guatemala. The data correspond to twenty-three single-microphone infrasound Gems, two permanent, telemetered INSIVUMEH broadband seismic stations, one temporary broadband seismic station installed by MTU and five time lapse cameras deployed along a 7km stretch of the drainage submitted in a manuscript titled “Dynamics of rain-triggered lahars and destructive power inferred from seismo-acoustic arrays and time-lapse camera correlation at Volcán de Fuego, Guatemala”. Gem data from all sensors were continuously collected at a sample rate of 100 Hz and calibrated in units of pascals. The INSIVUMEH seismic stations were continuously collected with digital telemetry at a sample rate of 50 Hz and calibrated in units of micrometers per second. The MTU seismic station was continuously collected at a sample rate of 125 Hz and calibrated in units of micrometers per second. The time-lapse camera data were continuously collected at a sample rate of 1Hz and stored as 10-minute mp4 files.
Date of Publication or Submission
5-9-2024
DOI
https://doi.org/10.18122/infrasound_data.13.boisestate
Funding Citation
Supported by the National Science Foundation Graduate Research Fellowship Program (NSF GRFP) under Grant No. 1946726 (FAIN) & NSF EAR grant 1914491.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Single Dataset or Series?
Series
Data Format
*.mat, *.mp4 and *.txt
File Size
34.9 GB
Data Attributes
A brief explanation of this data is given in the data's abstract, and see README.txt for additional information. More details and processed analysis of these data are provided in a manuscript being considered for publication.
Time Period
May 29, 2021 - September 27, 2021
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
Bosa, Ashley R.; Johnson, Jeffrey B.; Bejar, Gustavo; Waite, Gregory P.; Mock, Jerry C.; Pineda, Armando; and Anderson, Jacob F., "Dataset for Dynamics of Rain-Triggered Lahars and Destructive Power Inferred from Seismo-Acoustic Arrays and Time-Lapse Camera Correlation at Volcán De Fuego, Guatemala" (2024). Boise State University Infrasound Data Repository. 13.
https://scholarworks.boisestate.edu/infrasound_data/13
Comments
This dataset is under embargo until November 9, 2024.