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Acoustic analysis of starting jets in an anechoic chamber: implications for volcano monitoring
Explosive volcanic eruptions are associated with a plethora of geophysical signals. Among them, acoustic signals provide ample information about eruptive dynamics and are widely used for monitoring purposes. However, a mechanistic correlation of monitoring signals, underlying source processes and re...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7421577/ https://www.ncbi.nlm.nih.gov/pubmed/32782268 http://dx.doi.org/10.1038/s41598-020-69949-1 |
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author | Peña Fernández, J. J. Cigala, V. Kueppers, U. Sesterhenn, J. |
author_facet | Peña Fernández, J. J. Cigala, V. Kueppers, U. Sesterhenn, J. |
author_sort | Peña Fernández, J. J. |
collection | PubMed |
description | Explosive volcanic eruptions are associated with a plethora of geophysical signals. Among them, acoustic signals provide ample information about eruptive dynamics and are widely used for monitoring purposes. However, a mechanistic correlation of monitoring signals, underlying source processes and reasons for short-term variations is incomplete. Scaled laboratory experiments can mimic a wide range of explosive volcanic eruption conditions. Here, starting (non-steady) compressible gas jets are created using a shock tube in an anechoic chamber and their acoustic signature is recorded with a microphone array. Noise sources are mapped in time and frequency using wavelet analysis and their dependence from pressure ratio, non-dimensional mass supply and exit-to-throat area ratio is deciphered. We observed that the pressure ratio controls the establishment of supersonic conditions and their duration, and influences the interaction between shock, shear layer, and vortex ring. The non-dimensional mass supply affects the duration of the discharge, the maximum velocity of the flow, and the existence of a trailing jet. Lower values of exit-to-throat area ratio induce a faster decay of the acoustic fingerprint of the jet flow. The simplistic experiments presented here, and their acoustic analysis will serve as an essential starting point to infer source conditions prior to and during impulsive volcanic eruptions. |
format | Online Article Text |
id | pubmed-7421577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74215772020-08-13 Acoustic analysis of starting jets in an anechoic chamber: implications for volcano monitoring Peña Fernández, J. J. Cigala, V. Kueppers, U. Sesterhenn, J. Sci Rep Article Explosive volcanic eruptions are associated with a plethora of geophysical signals. Among them, acoustic signals provide ample information about eruptive dynamics and are widely used for monitoring purposes. However, a mechanistic correlation of monitoring signals, underlying source processes and reasons for short-term variations is incomplete. Scaled laboratory experiments can mimic a wide range of explosive volcanic eruption conditions. Here, starting (non-steady) compressible gas jets are created using a shock tube in an anechoic chamber and their acoustic signature is recorded with a microphone array. Noise sources are mapped in time and frequency using wavelet analysis and their dependence from pressure ratio, non-dimensional mass supply and exit-to-throat area ratio is deciphered. We observed that the pressure ratio controls the establishment of supersonic conditions and their duration, and influences the interaction between shock, shear layer, and vortex ring. The non-dimensional mass supply affects the duration of the discharge, the maximum velocity of the flow, and the existence of a trailing jet. Lower values of exit-to-throat area ratio induce a faster decay of the acoustic fingerprint of the jet flow. The simplistic experiments presented here, and their acoustic analysis will serve as an essential starting point to infer source conditions prior to and during impulsive volcanic eruptions. Nature Publishing Group UK 2020-08-11 /pmc/articles/PMC7421577/ /pubmed/32782268 http://dx.doi.org/10.1038/s41598-020-69949-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Peña Fernández, J. J. Cigala, V. Kueppers, U. Sesterhenn, J. Acoustic analysis of starting jets in an anechoic chamber: implications for volcano monitoring |
title | Acoustic analysis of starting jets in an anechoic chamber: implications for volcano monitoring |
title_full | Acoustic analysis of starting jets in an anechoic chamber: implications for volcano monitoring |
title_fullStr | Acoustic analysis of starting jets in an anechoic chamber: implications for volcano monitoring |
title_full_unstemmed | Acoustic analysis of starting jets in an anechoic chamber: implications for volcano monitoring |
title_short | Acoustic analysis of starting jets in an anechoic chamber: implications for volcano monitoring |
title_sort | acoustic analysis of starting jets in an anechoic chamber: implications for volcano monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7421577/ https://www.ncbi.nlm.nih.gov/pubmed/32782268 http://dx.doi.org/10.1038/s41598-020-69949-1 |
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