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Scientific Visualization for Earthquake Science and Simulation

Scientific Visualization for Earthquake Science and Simulation. Louise Kellogg, Tony Bernardin , Eric Cowgill , Oliver Kreylos , Mike Oskin , John Rundle , Donald L. Turcotte , M. Burak Yikilmaz UC Davis: Geology, Computer Science, & KeckCAVES.

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Scientific Visualization for Earthquake Science and Simulation

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  1. Scientific Visualization for Earthquake Science and Simulation Louise Kellogg, Tony Bernardin, Eric Cowgill, Oliver Kreylos, Mike Oskin, John Rundle, Donald L. Turcotte, M. BurakYikilmaz UC Davis: Geology, Computer Science, & KeckCAVES Earthscope data  Seismic Tomography model (Obrebski, et al 2010)

  2. Scientific visualization research for natural hazards at the KeckCAVES CAVES Desktop Laptop 3D TV Lidar Viewer Crusta Earth Viewer 3D Visualizer Virtual Reality User Interface (VRUI) A platform-independent foundation for development of virtual reality applications

  3. Haiti: January 12, 2010Mw 7.0 • 200,000 – 300,000 fatalities. • Massive damage from building collapse including houses, govt. buildings, UN headquarters, airport.

  4. Analysis of high-resolution airborne and terrestrial LIDAR after recent events • January 21 – 27, 2010, an area of 850 km2 surveyed using airborne LiDAR at an average density of ~3.2 points/m2 • Funded by World Bank, coordinated by USGS, collected by Rochester Institute of Technology • Goal: • support rescue and recovery first • and then to support science • ~2.7 billion individual point measurements in (3D) space; 66.8 GB on disk

  5. Working with LIDAR point cloud data

  6. Mapping the fault system

  7. Remote mapping • Guided field work • Gave consistent results as found in the field • Can improve quality and quantity of rapid scientific response

  8. We concluded that the 2010 earthquake was a relatively smallevent between the 1751 and 1770 ruptures.

  9. El Mayor-Cucapah M 7.2 April 2010

  10. El Mayor-Cucapah M 7.2 April 2010 Removing vegetation from LIDAR data Credit: Mike Oskin, RamonArrowsmith, Alejandro Hinojosa, and Javier Gonzalez

  11. Interactive scientific visualization for rapid response • Interactive visualization in a VR environment has the potential to completely change rapid scientific response to events • Visualization of these very large datasets is challenging, but feasible, using octree data representation. • Human-in-the-loop is essential to interpretation (combined with automated methods) • Underway: change detection (time series) • Future developments: Coupling data interpretations with simulations

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