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Seismic Investigation of Mauna Loa Volcano, Hawaii

Seismic Investigation of Mauna Loa Volcano, Hawaii
夏威夷莫纳罗亚火山地震调查
批准号:
2317687
负责人:
Guoqing Lin
金额:
$40.56万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2026-08-31

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中文摘要
翻译
位于夏威夷岛上的莫纳罗亚火山是世界上最大的火山。与它的东南邻居基拉韦厄相比,莫纳罗亚山由于其陡峭的山坡,高海拔和相对缺乏活动而没有被广泛调查。2022年11月27日,莫纳罗亚火山的山顶火山口开始喷发,并延伸到东北裂谷带,这是火山东北侧的一个裂缝。莫纳罗亚山过去的喷发发生在东北和西南裂谷带,人口在后者周围增长。因此,研究人员必须在下一次喷发发生之前了解岩浆的“管道系统”。在这个项目中,PI团队将在火山上和周围部署54个地震仪,为期三个月,以获得当地和远处地震的震动记录。他们将分析来自这些和其他地震仪的数据,以绘制当地地震图,并使用所有记录的地震数据制作详细的地下3D图像(类似于医院的CT扫描)。新的图像和当地地震的模式将显示岩浆库和岩浆上升到地表的可能路线,并与未来研究的结果进行比较,将显示岩浆如何随着时间的推移在火山下方迁移。新的发现将帮助PI团队,他们在美国地质勘探局夏威夷火山观测站的合作者,以及其他科学家更好地了解与莫纳罗亚山有关的地震和火山危险。在这个为期三年的项目中,研究小组将利用美国地质勘探局夏威夷火山观测站的永久地震台站和节点阵列记录的数字数据,在为期三个月的实验中应用最先进的地震技术,评估莫纳罗亚火山的高分辨率速度结构和地震特征。这些数据将用于生成自动地震目录,对岩浆系统进行成像,估计近震源区的现场泊松比,并检查地震速度的时间变化。新发展的速度模型在解决管道和岩浆房和提高地震的绝对位置是非常宝贵的。高分辨率的原位泊松比测量对追踪岩浆运动和估算部分熔融程度具有重要意义。本研究将探讨以下问题:1.高分辨率Vp、Vs和Vp/Vs模型的同步反演将揭示岩浆系统和可能的岩浆体的哪些信息?(What这些岩浆体在2022年的喷发中发挥了什么作用,为什么2022年的喷发在经过38年的休眠后产生了如此小的喷发体积?)2. 3D速度模型的绝对地震位置约束会告诉我们关于莫纳罗亚山断层带的什么?3.由波形互相关资料估算的高分辨率现场Vp/Vs比值揭示了近源区的时空特征。4.莫纳罗亚火山的长期地震速度变化与夏威夷其他地区和其他火山的地震速度变化相比如何?该奖项反映了NSF的法定使命,并被认为是值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。
英文摘要
Mauna Loa volcano on the Island of Hawaii is the world’s largest volcano. Compared with its southeastern neighbor Kilauea, Mauna Loa has not been extensively investigated due to its steep slopes, high elevation, and relative lack of activity. On November 27, 2022, an eruption began in the summit crater of Mauna Loa and extended to the Northeast Rift Zone, a crack on the northeast flank of the volcano. Past eruptions at Mauna Loa have occurred on both the Northeast and Southwest Rift Zones, and the population has grown around the latter. It is therefore imperative for researchers to understand the magmatic “plumbing system” before the next eruption takes place. In this project, the PI team will deploy 54 seismometers on and around the volcano for three months to obtain records of shaking from local and distant earthquakes. They will analyze data from these and other seismometers to map local earthquakes, and make a detailed 3D image of the subsurface (similar to a CT scan at a hospital) using data from all of the recorded quakes. The new images and the pattern of local earthquakes will show magma chambers and possible routes for magma to ascend to the surface, and comparisons with results from future studies will show how magma is migrating below the volcano over time. The new findings will help the PI team, their collaborators at the USGS Hawaiian Volcano Observatory, and other scientists better understand seismic and volcanic hazards associated with Mauna Loa. This project will also provide training in volcano seismology for a postdoctoral scholar and two undergraduate students.In this three-year project, the team will apply the state-of-the-art seismic techniques to the digital data recorded by the permanent seismic stations at the USGS Hawaiian Volcano Observatory and a nodal array during a three-month experiment to assess the high-resolution velocity structure and seismic characteristics of Mauna Loa volcano. The data will be used to generate an automatic earthquake catalog, to image the magmatic system, to estimate in-situ Poisson’s ratio in the near earthquake source regions, and to examine temporal variations in seismic velocity. The newly developed velocity models are invaluable in resolving conduits and magma chambers and improving absolute earthquake locations. In situ Poisson’s ratios with high-resolution are of great help to tracking magma movement and estimating the fraction of partial melt. The following questions will be addressed in this project: 1. What will the simultaneous inversions of the high-resolution Vp, Vs, and Vp/Vs models reveal about the magmatic system and possible magma bodies? (What role did these magma bodies play in the 2022 eruption and why did the 2022 eruption produce such a small eruptive volume after over 38 years of repose?) 2. What will the absolute earthquake location constraints from 3D velocity models tell us about the fault zones in Mauna Loa? 3. What will the high-resolution in situ Vp/Vs ratios estimated from waveform cross-correlation data reveal about the spatial and temporal characteristics in the near-source region? 4. How do the long-lasting seismic velocity variations in Mauna Loa compare to those in other parts of Hawaii and at other volcanoes?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.
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Collaborative Research: Active and Passive Seismic Imaging of the Three-Dimensional Structure and Magma System beneath the Summit of Kilauea Volcano
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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海外基金