1 / 34

Using GIS to visualize, analyze and forecast seismic hazards

Using GIS to visualize, analyze and forecast seismic hazards. Serkan Bozkurt. -0.6. 0.0 bars. 0.6. animation. animation. animation. animation. 1992 M=7.3 Landers shock increases stress at Big Bear. Landers. Big Bear. Los Angeles. First 3 hr of Landers

niel
Download Presentation

Using GIS to visualize, analyze and forecast seismic hazards

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Using GIS to visualize, analyze and forecast seismic hazards Serkan Bozkurt

  2. -0.6 0.0 bars 0.6 animation

  3. animation

  4. animation

  5. animation

  6. 1992 M=7.3 Landers shock increases stress at Big Bear Landers Big Bear Los Angeles First 3 hr of Landers aftershocks plotted

  7. 1992 M=7.3 Landers shock promotes the M=6.5 Big Bear shock 3 hr later Landers Big Bear Los Angeles First 3 hr of Landers aftershocks plotted

  8. …and promotes the M=7.1 Hector Mine shock 7 yr later Hector Mine Los Angeles First 7 yr of aftershocks plotted

  9. Earthquake Probability Investigation of Greater Tokyo New ways to forecast seismic shaking, and how they stack up in Tokyo Shinji Toda, Masanobu Shishikura, and Kenji Satake Yoshimitsu Okada Takuya Nishimura and Takeshi Sagiya Ross Stein, Serkan Bozkurt, Bill Bakun, Fred Pollitz, Tom Parsons, Marleen Nyst, and Elliot Grunewald Junichi Nakajima and Akira Hasegawa Nobuo Hamada Martin Bertogg, Mariagiovanna Guatteri, Silvio Tschudi, and Atsuhiro Dodo

  10. Fault model from Wald and Somerville

  11. Fault model from M. Matsu’ura et al.

  12. Our model for the 1923 earthquake is based on newly discovered geodetic data Fault slip (cm) Slip direction Tokyo Marleen Nyst Fred Pollitz But the 1703 earthquake was much larger from Nyst et al (2005) and Pollitzet al (2005)

  13. Kanto seismic corridor Historical quakes from Usami (2003) reassessed with powerful computer technique Bill Bakun Elliot Grunewald from Bakun (2005) and Grunewald (in press 2006)

  14. Shinji Toda Ross Stein animation

  15. Picture

  16. 30-yr earthquake probabilities for greater Tokyo Team Tokyo Study Poisson Renewal M≥7.1 within 50 km of Tokyo 20 >35 (1855 type) M≥7.9 within 100 km of Tokyo (1923 type) 11 0.5 Combined (I≥6 or PGA>0.95 g in Tokyo) 29% >35% 1 2 1 2 from Stein et al. (2006)

  17. Tokyo street scene in 1855

  18. Study area is divided in to 5x5 km cells

  19. data for one cell data for one cell Creating the annual frequency-intensity model

  20. How well the model fits local data

  21. How well the model fits local data

  22. How well the model fits local data

  23. Turning cell data into maps

  24. What about site effects and proximity to fault ruptures?

  25. GIS is one of the most powerful toolstovisualize, analyze,and enhance earthscience information. Serkan Bozkurt(USGS, Menlo Park) Residents of Edo appeal to the god Kashima to subdue the catfish, mythical source of the 1855 Ansei-Edo earthquake

More Related