Constraining properties of pyroclastic density currents with remote infrasound and seismic observations

远程次声波和地震观测对火山碎屑密度流的约束特性

• 批准号: 1949219
• 负责人: Josef Dufek
• 金额: $ 26.64万
• 依托单位: University of Oregon Eugene
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1949219&HistoricalAwards=false
• 关键词: Constraining; properties; pyroclastic; density; currents

Pyroclastic density currents (PDCs) are hot mixtures of eruption-derived particles and gas that move laterally along the ground. PDCs are commonly generated by eruption column or lava dome collapse and are driven by negative buoyancy. Due to their mobility, rapid velocities, and high temperatures, PDCs are the most hazardous volcanic phenomena and are responsible for over 50% of volcanic-related fatalities. PDCs are also challenging to observe directly. In addition to their hazardous nature, PDCs occur infrequently and often are located in remote and inhospitable places. Furthermore, direct visual observations can usually only be made of the outer shell of the flow as the complex internal dynamics are obscured by visually opaque fluid. Therefore, most of our understanding about these multiphase, turbulent flows comes from geological observations of PDC deposits, laboratory studies and numerical models. This work extends knowledge of PDC dynamics by associating physical processes with seismic and infrasonic waves. Geophysical observations (infrasound and seismic) can be made at safe distances from PDC activity and can provide high-resolution information about PDC dynamics. This project also supports a postdoctoral scholar, who will engage in activities that bring STEM and natural hazard resources to schools in the Cascadia region.For this project we will be developing a quantitative framework to relate PDC properties and dynamics to geophysical observables. The researchers will perform 3D multiphase simulations of PDCs and compute the infrasound and seismic radiation. This will enable the investigators to directly compare the simulation outputs with field data, which will provide a way to validate and improve numerical models of PDC dynamics. The researchers will perform a sensitivity analysis to understand what properties the geophysical observables are sensitive to and will explore the geophysical signals of different physical processes that have been shown to be important to PDC dynamics, such entrainment and fluidization. The proposed work will increase fundamental scientific understanding about the processes governing PDCs and will aid in data interpretation and volcano monitoring efforts by developing quantitative links between geophysical observables and flow properties.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.

火山碎屑密度流（PDC）是火山喷发产生的颗粒和气体的热混合物，沿地面横向沿着运动。 PDC通常由喷发柱或熔岩穹丘塌陷产生，并由负浮力驱动。 由于其流动性，快速速度和高温，PDC是最危险的火山现象，并负责超过50%的火山相关死亡。PDC也具有直接观察的挑战性。 除了其危险性外，PDC很少发生，而且通常位于偏远和荒凉的地方。 此外，由于复杂的内部动力学被视觉上不透明的流体所掩盖，因此通常只能对流动的外壳进行直接的视觉观察。 因此，我们对这些多相湍流的理解大多来自PDC矿床的地质观测、实验室研究和数值模型。这项工作通过将物理过程与地震波和次声波相关联来扩展PDC动力学的知识。地球物理观测（次声和地震）可以在离PDC活动安全距离处进行，并可以提供有关PDC动态的高分辨率信息。该项目还支持一名博士后学者，他将从事将STEM和自然灾害资源带到卡斯卡迪亚地区学校的活动。对于该项目，我们将开发一个定量框架，将PDC属性和动态与地球物理观测值联系起来。研究人员将对PDC进行3D多相模拟，并计算次声和地震辐射。这将使研究人员能够直接将模拟输出与现场数据进行比较，这将提供一种验证和改进PDC动态数值模型的方法。 研究人员将进行敏感性分析，以了解地球物理观测值对哪些属性敏感，并将探索不同物理过程的地球物理信号，这些物理过程已被证明对PDC动力学非常重要，例如夹带和流化。 拟议的工作将增加有关过程的管理PDC的基本科学的理解，并将有助于数据解释和火山监测工作，通过开发地球物理观测和流动properties之间的定量联系。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

Using unsupervised machine learning to identify changes in eruptive behavior at Mount Etna, Italy

• DOI: 10.1016/j.jvolgeores.2020.107042
• 发表时间: 2020-11
• 期刊: Journal of Volcanology and Geothermal Research
• 影响因子: 2.9
• 作者: L. M. Watson

Volcano infrasound: progress and future directions

• DOI: 10.1007/s00445-022-01544-w
• 发表时间: 2022-04
• 期刊: Bulletin of Volcanology
• 影响因子: 3.5
• 作者: L. M. Watson;A. Iezzi;L. Toney;S. Maher;D. Fee;Kathleen F. McKee;H. Ortiz;R. Matoza;J. Gestrich;J. Bishop;Alex J. C. Witsil;Jacob F. Anderson;Jeffrey B. Johnson