Volcanic jet noise: Linking field and laboratory experiments

火山喷流噪声：连接现场和实验室实验

• 批准号: 1901614
• 负责人: David Fee
• 金额: $ 31.96万
• 依托单位: University of Alaska Fairbanks Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901614&HistoricalAwards=false
• 关键词: Volcanic; jet; noise; Linking; field

Volcanic eruptions are dynamic and complex, making both monitoring and understanding their source processes challenging. Infrasound, or low frequency sound waves, is becoming increasingly used to monitor and study volcanic eruptions. Volcanic jets are prolific producers of volcanic jet noise, the sound produced by turbulent flow from a volcanic vent. Volcanic jet noise was heard extensively during the 2018 Kilauea East Rift Zone eruption. Despite its increasing use, many questions on volcanic jet noise remain. The investigators will perform a systematic set of linked field and laboratory experiments to address fundamental questions on volcanic jet noise and assumptions typically made when interpreting volcano infrasound data. The lab experiments will be performed at the unique facility of project collaborator LMU (Munich, Germany) that can reproduce gas and particle jets under controlled source parameters. At Stromboli Volcano, Italy, the researchers will examine jetting from eruptions and determine the jet noise radiation pattern. The observations from the lab and field will be used to interpret and determine source parameters (e.g. jet velocity and flux) for eruptions at both Kilauea and Stromboli, as well as previously collected volcano infrasound data. The project results will have significant implications for hazard monitoring at volcano observatories in Alaska and Hawaii, the results will be presented to the general public in those regions, and broad international collaboration and training will occur. This project will integrate unique lab and field observations of volcanic jet noise to provide new insight into volcanic eruptions. The lab experiments will, for the first time, simulate the generation of volcanic jet noise while varying sound-influencing parameters such as particle concentration, particle shape, vent geometry, temperature, and Mach number. The field experiment at Stromboli Volcano, Italy will address the assumed highly directional nature of volcanic jet noise using advantageous topography and reliable eruptive activity, as well as providing critical corresponding high-speed visual and infrared imagery. The investigators will also capitalize on near-source infrasound and visual data collected during the 2018 Kilauea fissure eruption. By combining these three data sets, the researchers will determine the principal features and complexities of volcanic jet noise, including the characteristic frequency spectra, highly directional sound radiation, and unique waveform characteristics. These analyses will help determine 1) new scaling laws relating jet velocity to acoustic power and 2) improved eruption source constraints such as particle content and jet diameter, thus having direct implications for understanding and monitoring of volcanic eruptions worldwide. This award is cofunded by the Prediction of and Resilience against Extreme Events (PREEVENTS) program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

火山喷发是动态且复杂的，使监测和理解其来源过程具有挑战性。额外声波或低频声波正在越来越多地用于监测和研究火山喷发。火山喷气机是火山喷射噪声的多产生产商，这是由火山通风口湍流产生的声音。在2018年基拉韦阿东裂区爆发期间，人们广泛听到火山喷射噪声。尽管使用越来越多，但仍然有许多关于火山喷气噪声的问题。研究人员将执行一组系统的链接场和实验室实验，以解决有关火山喷射噪声和通常在解释火山插射数据时做出的假设的基本问题。实验室实验将在项目合作者LMU（德国慕尼黑）的独特设施中进行，该设施可以在受控的源参数下重现气体和粒子喷气机。在意大利的斯特博利火山，研究人员将检查喷发中的喷射，并确定射流噪声辐射模式。实验室和场的观察结果将用于解释和确定Kilauea和Stromboli喷发的源参数（例如喷射速度和通量），以及先前收集的火山侵蚀数据。该项目的结果将对阿拉斯加和夏威夷火山观测站的危害监测产生重大影响，这些结果将在这些地区向公众提出，并将发生广泛的国际合作和培训。该项目将整合火山喷射噪声的独特实验室和现场观察结果，以提供有关火山喷发的新见解。实验室实验将首次模拟火山喷气噪声的产生，同时改变声音影响参数，例如粒子浓度，粒子形状，排气几何形状，温度和马赫数。意大利Stromboli火山的现场实验将使用有利的地形和可靠的喷发活动来解决火山喷射噪声的高度方向性，并提供关键的相应的高速视觉和红外图像。调查人员还将利用2018年KILAUEA FISSURE爆发期间收集的近乎源的摘要和视觉数据。通过结合这三个数据集，研究人员将确定火山喷射噪声的主要特征和复杂性，包括特征频谱，高度方向的声音辐射和独特的波形特征。这些分析将有助于确定1）将喷气速度与声学功率相关的新扩展定律； 2）改善了喷发源限制（例如粒子含量和射流直径），从而直接影响全球火山喷发的理解和监测。该奖项是对极端事件（预言）计划的预测和韧性的奖励。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。

项目成果

Infrasound observations and constraints on the 2018 eruption of Kīlauea Volcano, Hawaii

2018 年夏威夷凯劳厄亚火山喷发的次声观测和限制

• DOI: 10.1007/s00445-022-01583-3
• 发表时间: 2022
• 期刊: Bulletin of Volcanology
• 影响因子: 3.5
• 作者: Thelen, Weston;Waite, Gregory;Lyons, John;Fee, David
• 通讯作者: Fee, David

Atmospheric waves and global seismoacoustic observations of the January 2022 Hunga eruption, Tonga

• DOI: 10.1126/science.abo7063
• 发表时间: 2022-07-01
• 期刊: SCIENCE
• 影响因子: 56.9
• 作者: Matoza, Robin S.;Fee, David;Wilson, David C.
• 通讯作者: Wilson, David C.

Lava fountain jet noise during the 2018 eruption of fissure 8 of Kīlauea volcano

2018 年凯劳厄火山 8 号裂缝喷发时的熔岩喷泉喷射噪音

• DOI: 10.3389/feart.2022.1027408
• 发表时间: 2022
• 期刊: Frontiers in Earth Science
• 影响因子: 2.9
• 作者: Gestrich, Julia E.;Fee, David;Matoza, Robin S.;Lyons, John J.;Dietterich, Hannah R.;Cigala, Valeria;Kueppers, Ulrich;Patrick, Matthew R.;Parcheta, Carolyn E.
• 通讯作者: Parcheta, Carolyn E.

High-speed lava flow infrasound from Kīlauea’s fissure 8 and its utility in monitoring effusion rate

来自凯劳厄亚裂缝 8 的高速熔岩流次声波及其在监测渗出率中的应用

• DOI: 10.1007/s00445-021-01488-7
• 发表时间: 2021
• 期刊: Bulletin of Volcanology
• 影响因子: 3.5
• 作者: Lyons, John J.;Dietterich, Hannah R.;Patrick, Matthew P.;Fee, David
• 通讯作者: Fee, David

High-rate very-long-period seismicity at Yasur volcano, Vanuatu: source mechanism and decoupling from surficial explosions and infrasound

瓦努阿图亚苏尔火山的高频率超长周期地震活动：震源机制以及与地表爆炸和次声的解耦

• DOI: 10.1093/gji/ggab533
• 发表时间: 2022
• 期刊: Geophysical Journal International
• 影响因子: 2.8
• 作者: Matoza, Robin S.;Chouet, Bernard A.;Jolly, Arthur D.;Dawson, Phillip B.;Fitzgerald, Rebecca H.;Kennedy, Ben M.;Fee, David;Iezzi, Alexandra M.;Kilgour, Geoff N.;Garaebiti, Esline
• 通讯作者: Garaebiti, Esline