CAREER: Eruption Dynamics From Low-Frequency Volcano-Seismic Signals

职业：低频火山地震信号的喷发动力学

• 批准号: 1053794
• 负责人: Gregory Waite
• 金额: $ 41.3万
• 依托单位: Michigan Technological University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-01 至 2017-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1053794&HistoricalAwards=false
• 关键词: CAREER; Eruption; Dynamics; Low; Frequency

This is a CAREER award supported by the Petrology and Geochemistry, Geophysics, and Education and Human Resources programs from the Division of Earth Sciences in cooperation with the Americas Program of the Office of International Sciences and Engineering. This proposed CAREER research and education project is focused on advancing our understanding of eruption dynamics using novel seismological modeling and data-acquisition approaches and by tasking middle-school and undergraduate students, working in conjunction with graduate students, into the data acquisition aspects of the research. The principal objectives of this study and professional goals of the PI are to: 1) accelerate the adaptation of advanced seismological source modeling by researchers and monitoring networks through improving model verification and statistical analysis; 2) train a new generation of volcano seismologists who are not only proficient with fundamental seismological theory and tools, but also adept at using diverse multidisciplinary data to guide models of volcano-seismic signals; and 3) promote quantitative skills and the use of interdisciplinary data to solve problems. Intellectual Merit: Seismological recordings of volcanic processes are both the most abundant and the most widely data sets used by volcano monitoring agencies for real-time assessment of the volcanic hazard. But, except for only a very few cases, seismic data are underused. Advanced waveform-modeling tools have been available for decades and are in use by only a small group of volcano seismologists because of some specific challenges. The use of waveform modeling will benefit from comprehensively and systematically exploring the effects of small-scale structure and attenuation on synthetic Green?s functions and source inversions derived from them. The investigator will build on his recent experience in monitoring open-vent volcanic processes in Guatemala (Fuego and Santiaguito) that indicate that coupling measurements of tilt along with broadband seismic data allows for determining the effect tilt, especially on very-long-period waveforms. Moreover, simultaneously collecting infrasound data and monitoring SO2 emissions for will allow for joint interpretations of multiple data sets that have not been possible before. Ultimately this work will push waveform modeling of volcano seismic signals into wider use. Broader Impacts: The proposed research advancements will be made in conjunction with educational activities that will enhance the teaching and learning skills of a spectrum of students involved in this work, ranging from middle-school science students, undergraduates and Ph.D. and M.S. students. This work will promote increased interdisciplinary volcanological knowledge, especially among graduate students and foster the use of quantitative data in eighth grade Earth science curricula at 6 schools. This project will use active recruitment and mentoring activities to enhance the participation of minority undergraduate students in both volcano seismology and earthquake seismology research. This work will also enhance the hazard mitigation capacity of developing countries. The scientific advances will influence not only volcano seismology, but also the field of earthquake seismology, where some of the same obstacles to source modeling exist.

这是一个由地球科学部的岩石学和地球化学，地球物理学以及教育和人力资源计划与国际科学和工程办公室的美洲计划合作支持的职业奖。 这个拟议的职业研究和教育项目的重点是推进我们的火山喷发动力学的理解，使用新的地震建模和数据采集方法，并通过任务中学和本科生，与研究生一起工作，进入研究的数据采集方面。本研究的主要目的和PI的专业目标是：1）通过改进模型验证和统计分析，加速研究人员和监测网络对先进震源模型的适应; 2.培养新一代的火山地震学家，他们不仅要精通地震学的基本理论和工具，而且还善于使用各种多学科数据来指导火山地震信号模型; 3）促进定量技能和使用跨学科数据来解决问题。智力优势：火山过程的地震记录是火山监测机构用于实时评估火山灾害的最丰富和最广泛的数据集。但是，除了极少数情况外，地震数据没有得到充分利用。先进的波形建模工具已经存在了几十年，由于一些特定的挑战，只有一小群火山地震学家在使用。波形建模的使用将受益于全面和系统地探索合成绿色？的函数和源反演。调查员将利用他最近在监测危地马拉（Fuego和Mallaguito）开放式喷口火山过程方面的经验，这些经验表明，倾斜沿着宽带地震数据的耦合测量可以确定倾斜的影响，特别是对非常长周期波形的影响。此外，同时收集次声数据和监测二氧化硫排放量将允许对以前不可能的多个数据集进行联合解释。最终，这项工作将推动火山地震信号的波形建模得到更广泛的应用。更广泛的影响：拟议的研究进展将与教育活动相结合，提高参与这项工作的一系列学生的教学和学习技能，包括中学理科学生、本科生和博士生。和史密斯学生这项工作将促进增加跨学科火山学知识，特别是在研究生中，并促进在6所学校的八年级地球科学课程中使用定量数据。该项目将利用积极的招聘和辅导活动，加强少数民族大学生对火山地震学和地震学研究的参与。这项工作还将加强发展中国家的减灾能力。科学的进步不仅会影响火山地震学，也会影响地震学领域，在地震学领域，震源建模也存在一些同样的障碍。