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

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项目与国际科学和工程办公室美洲项目合作支持的职业奖项。这一拟议的职业研究和教育项目侧重于通过使用新的地震学建模和数据获取方法，并通过让中学生和本科生与研究生合作，参与研究的数据获取方面，来促进我们对喷发动力学的理解。这项研究的主要目的和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采用先进的震源模拟；2)培养新一代火山地震学家，他们不仅精通地震学基本理论和工具，而且擅长使用不同的多学科数据来指导火山地震信号模型；以及3)促进量化技能和利用跨学科数据解决问题。知识价值：火山过程的地震学记录是火山监测机构用来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，地震数据都没有得到充分利用。先进的波形建模工具已经存在了几十年，由于一些具体的挑战，目前只有一小部分火山地震学家在使用。全面系统地研究小尺度结构和衰减对合成格林-S函数及其震源反演的影响，有利于波形模拟的应用。这位调查员将以他最近在危地马拉(Fuego和Santiaguito)监测喷口开放的火山过程的经验为基础，这些经验表明，将倾斜测量与宽带地震数据结合起来，可以确定倾斜的影响，特别是对超长周期波形的影响。此外，同时收集次声数据和监测二氧化硫排放，将允许对多个数据集进行联合解释，这是以前不可能的。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结合起来，提高参与这项工作的一系列学生的教和学技能，包括中学理科学生、本科生、博士和理科硕士学生。这项工作将促进增加跨学科的火山学知识，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募和辅导活动，加强少数民族本科生对火山地震学和地震地震学研究的参与。这项工作还将加强发展中国家的减灾能力。科学进步不仅将影响火山地震学，还将影响地震地震学领域，在地震地震学领域，震源建模存在一些相同的障碍。

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.