Collaborative Research: CDI-Type II: VolcanoSRI: 4D Volcano Tomography in a Large-Scale Sensor Network

合作研究：CDI-Type II：VolcanoSRI：大规模传感器网络中的 4D 火山断层扫描

• 批准号: 1125185
• 负责人: Jonathan Lees
• 金额: $ 51.02万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1125185&HistoricalAwards=false
• 关键词: Collaborative; Research; CDI; Type; II

This project will create a new paradigm, VolcanoSRI (Volcano Seismic Realtime Imaging), for imaging 4D (four-dimensional) tomography of an active volcano in real-time. VolcanoSRI is a large-scale sensor network of low-cost geophysical stations that analyzes seismic signals and computes real-time, full-scale, three-dimensional fluid dynamics of the volcano conduit system within the active network. The computed 4D tomography model will illuminate complex, time-varying dynamics of an erupting volcano, providing a deeper scientific understanding of volcanic processes, as well as a basis for rapid detection of volcanic hazards. VolcanoSRI will potentially make the fictional holographic projector known as Virgil in the film "Supervolcano" a reality.Realizing the VolcanoSRI system requires a transformative study on the science of complex volcano systems and the design of large-scale sensor networks. Our approach integrates innovations on distributed tomographic algorithms, collaborative signal processing, and situation-aware networking technology for large-scale real-time sensor systems. The distributed tomography algorithm disperses the computational burden to the sensor nodes and performs real-time tomographic inversion within the network. Such an approach has never been attempted before and represents a major achievement for both earth and computer science. The team is composed of computer and earth scientists including early pioneers of wireless sensor networks as applied to volcano monitoring. VolcanoSRI holds vast potential for real-time risk monitoring and development of early-warning systems for volcanoes and other earth hazards. The new approach taken in VolcanoSRI is general, and can be implemented as a new network paradigm for other sensor-network applications, including oil-field exploration and structural and biomedical-health monitoring. The educational activities of this project include enhancing undergraduate and graduate curriculum and research programs at the three collaborating universities. Through this project, we plan to broaden access to these course materials by providing the course lectures, all readings, and assignments online to the public. This project provides many opportunities for collaborations of students across earth and computer science, increasing involvement of women and minorities, at the three collaborating universities.

该项目将创建一个新的范例，即火山地震实时成像（VolcanoSRI），用于实时成像活火山的4D（四维）断层扫描。VolcanoSRI是一个由低成本地球物理站组成的大型传感器网络，可以分析地震信号，并在活动网络中计算火山管道系统的实时、全尺寸、三维流体动力学。计算机四维断层扫描模型将阐明火山喷发复杂的时变动力学，为火山过程提供更深入的科学理解，并为快速检测火山危害奠定基础。VolcanoSRI可能会让电影《超级火山》中虚构的全息投影仪维吉尔（Virgil）成为现实。实现VolcanoSRI系统需要对复杂火山系统的科学进行变革性的研究和大规模传感器网络的设计。我们的方法集成了分布式层析成像算法、协作信号处理和大规模实时传感器系统的态势感知网络技术的创新。分布式层析成像算法将计算负担分散到传感器节点，并在网络内进行实时层析成像反演。这种方法以前从未尝试过，它代表了地球科学和计算机科学的一项重大成就。该团队由计算机和地球科学家组成，其中包括应用于火山监测的无线传感器网络的早期先驱。在火山和其他地球灾害的实时风险监测和早期预警系统的开发方面，VolcanoSRI具有巨大的潜力。VolcanoSRI采用的新方法是通用的，可以作为其他传感器网络应用的新网络范例，包括油田勘探和结构和生物医学健康监测。该项目的教育活动包括加强三所合作大学的本科和研究生课程和研究项目。通过这个项目，我们计划通过向公众提供课程讲座、所有阅读材料和在线作业来扩大对这些课程材料的访问。该项目为三所合作大学的地球和计算机科学学生提供了许多合作机会，增加了妇女和少数民族的参与。