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.

这是与国际科学与工程办公室合作的地球科学部门的岩石学和地球化学，地球物理学以及教育与人力资源计划的支持。 这项拟议的职业研究和教育项目的重点是通过新颖的地震学建模和数据采购方法以及任命中学和本科生的任务，与研究生合作，将我们对喷发动态的理解推进了研究的数据习得方面。这项研究的主要目标和PI的专业目标是：1）通过改进模型验证和统计分析来加速研究人员对先进的地震来源建模的适应； 2）培训新一代的火山地震学家，他们不仅熟练着基本的地震理论和工具，而且还擅长使用多种多样的多学科数据来指导火山震荡信号的模型； 3）促进定量技能以及使用跨学科数据来解决问题。智力优点：火山过程的地震记录既是火山监测机构使用的最丰富和最广泛的数据集，用于实时评估火山危险。但是，除了极少数情况外，地震数据还没有用。先进的波形建模工具已经使用了数十年，并且由于面临一些具体的挑战，只有一小群火山地震学家使用。波形建模的使用将受益于全面和系统地探索小规模结构的影响以及衰减对合成绿色功能和源代码反转的影响。该研究者将基于他最近在监测危地马拉（Fuego和Santiaguito）的开放式火山过程的经验，这些经验表明，倾斜度的耦合测量以及宽带地震数据允许确定效果倾斜度，尤其是对非常长的periodododod haveforms。此外，同时收集非传动数据并监视SO2排放量将允许对以前无法进行的多个数据集进行联合解释。最终，这项工作将将火山地震信号的波形建模推向更广泛的用途。更广泛的影响：拟议的研究进步将与教育活动一起进行，从而提高参与这项工作的学生的教学和学习技能，从中学科学专业的学生，​​本科生和博士学位。和M.S.学生。这项工作将促进跨学科的火山学知识增加，尤其是在研究生中，并促进了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指导活动来增强少数族裔本科生参与火山地震学和地震地震学研究。这项工作还将增强发展中国家的危害减轻能力。科学的进步不仅会影响火山地震学，而且会影响地震地震学领域，那里存在一些相同的来源建模障碍。