Bubble dynamics during volcanic eruptions: in situ measurements and modelling of physical processes of a rising and exploding gas slug

火山喷发期间的气泡动力学：气段塞上升和爆炸物理过程的现场测量和建模

• 批准号: 13799595
• 负责人: Professor Dr. Matthias Hort
• 金额: --
• 依托单位: Institut für Geophysik (IfG)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2006
• 资助国家: 德国
• 起止时间: 2005-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/13799595?language=en
• 关键词: Bubble; dynamics; during; volcanic; eruptions

During the initial two years funding of this research we collected a 16 days long multidisciplinary data set at Yasur volcano, Vanuatu, that includes seismological and acoustic data, infrared video footage, as well as Doppler radar measurements to quantify eruption dynamics, and DOAS measurements for SO2 flux estimation. During this time a total of about 26000 eruptions were observed and initial data processing indicated a transition in eruption style from explosive nearly ash free eruptions to very ash rich plumes and back to nearly ash free eruptions. In the frame of this proposal we will explore the physics behind this change in eruption style using our multidisciplinary data set. In particular we will combine the processed seismic and acoustic data with the radar data to verify which vent of Yasur volcano was active and determine at what depth below the vent exit the magma level in the conduit is located. Exploiting the radar data we will determine the kinetic energy released during each single explosion and from that determine either bubble overpressure or gas slug volume, while the acoustic and seismic data will give us evidences for the seismic and acoustic energy release. This will lead to a more complete understanding of the energy budget at an active volcano. The radar data will also allow us to define different eruption types and using a neuronal network we will then classify all recorded events. These different processing steps will help to improve current models for eruption dynamics.

在这项研究的最初两年资金中，我们在Vanuatu的Yasur Volcano收集了16天的多学科数据集，其中包括地震学和声学数据，红外视频录像以及多普勒雷达测量值以及量化量化的爆发动态以及用于SO2 Flux估算的DOAS测量。在此期间，总共观察到约26000次喷发，初始数据处理表明，从爆炸性的几乎无灰爆发到非常丰富的灰羽，再到几乎没有灰烬的爆发。在本提案的框架中，我们将使用我们的多学科数据集探索这种喷发样式变化背后的物理。特别是，我们将将处理后的地震和声学数据与雷达数据结合在一起，以验证Yasur火山的哪个通风口处于活动状态，并确定导管中的岩浆水平下方的岩浆水平以下的深度。利用雷达数据，我们将确定每次爆炸过程中释放的动能，从中确定气泡过压或气体slug体积，而声学和地震数据将为我们提供地震和声学能量释放的证据。这将导致对活火山的能源预算有更全面的了解。雷达数据还将允许我们定义不同的喷发类型并使用神经元网络，然后我们将对所有记录的事件进行分类。这些不同的处理步骤将有助于改善当前的喷发动态模型。