GMES Researchers on Infrasound Detection of Approaching Lahars

The National Science Foundation mentioned Michigan Tech in a story about a study showing that infrasound remote sensing technology is an effective way to monitor catastrophic volcanic mudflows. Rudiger Escobar Wolf and Greg Waite (GMES) and Ph.D. student Gustavo Bejar Lopez (geology) are co-authors of the study, which was published in Nature Scientific Reports. NSF’s story was picked up by EIN Presswire.

The study is a collaborative effort by scientists at Boise State University, the Instituto Nacional de Sismología, Vulcanología, Meteorología e Hidrología in Guatemala, and Michigan Technological University, and is funded by the U.S. National Science Foundation.

Johnson, J.B., Roca, A., Pineda, A. et al. Infrasound detection of approaching lahars. Sci Rep 13, 6476 (2023).

Sets of waveforms over time with graphs of lag times and location precision. Descriptions are in the caption and full article.
Cross correlation analysis from station IO is used to detect sound originating from the Ceniza drainage. Read the full caption online. Scientific Reports articles are published OA under a CC BY license (Creative Commons Attribution 4.0 International license). Read the full article.