VolcanoSRI: 4D Volcano Tomography in a Large-Scale Sensor Network
Funded by NSF CDI Program (NSF-CDI-1125165, $1,833,608, 9/2011-8/2015)
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.
In the final year of the project, we will undertake a 500 node sensor array deployment at an active volcano with the goal of running the network for a full deployment season, up to three months. We note that the domestic volcanoes in USA are relatively quiescent and lack seismic activity and are thus not ideal for a three-month test of VolcanoSRI. In Ecuador, Reventador and Tungurahua are very active volcanoes and represent major threats to local communities. Our team has a strong collaboration with Institutes in Ecuador and they are committed to support the instrument assembly and deployment issues.
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, structural and biomedical health monitoring. The educational activities of this project include enhancing undergraduate and graduate curriculum and research program at the three collaborative 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 collaborative universities.
- WenZhan Song, Georgia State University (GSU)
- Jonathan Lees, University of North Carolina (UNC)
- Guoliang Xing, Michigan State University (MSU)
- Mario Ruiz, Instituto Geofisco, Escuela Politecnica Nacional (IG-EPN)