Fitting Jet Noise Similarity Spectra to Volcano Infrasound Data
نویسندگان
چکیده
Infrasound (low-frequency acoustic waves) has proven useful to detect and characterize subaerial volcanic activity, but understanding the infrasonic source during sustained eruptions is still an area of active research. Preliminary comparison between eruption spectra jet noise similarity suggests that volcanoes can produce form from turbulence. The spectra, empirically derived audible laboratory jets, consist two sources: large-scale turbulence (LST) fine-scale (FST). We fit quantitatively Mount St. Helens in 2005, Tungurahua 2006, Kīlauea 2018 using nonlinear least squares fitting. By fitting over a wide frequency band (0.05–10 Hz) restricting peak above 0.15 Hz, we observe better times versus non-eruptive background noise. Fitting smaller overlapping bands highlights changes LST FST which aligns with observed dynamics. Our results indicate future quantitative spectral data will help identify parameters such as velocity, diameter, ash content are critical for effective hazard monitoring response.
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ژورنال
عنوان ژورنال: Earth and Space Science
سال: 2021
ISSN: ['2333-5084']
DOI: https://doi.org/10.1029/2021ea001894