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USGS Mendenhall Postdoctoral 
Research Fellowship Program

34. Joint U.S.–Japan Program to Develop CoulombExpress: A Near-Real-Time Online Earthquake Forecasting Tool for Emergency Responders and Scientists

There is considerable evidence that increases in the static Coulomb stress bring faults closer to failure (Stein, 1999; King and Cocco, 2000). The spatial distribution of Coulomb stress is generally found to be correlated with the distribution of aftershocks, and with the triggering of subsequent main shocks (fig. 1). The distribution of peak dynamic Coulomb stress may also correlate with aftershocks (Kilb and others, 2002), and so static stress changes are not the only means by which aftershocks are triggered. Nevertheless, the static Coulomb stress can be rapidly and reliably calculated, and, if it is produced automatically and made publicly available, it can serve to identify sites or faults with an increased seismic risk following mainshocks. Today Coulomb analyses are published no sooner than 13?onths after a large mainshock (McCloskey and others, 2005; Toda and others, 2008). CoulombExpress is intended to produce them in near real-time.

Example of how CoulombExpress could contribute to seismic safety Figure 1. An example of how CoulombExpress could contribute to seismic safety. During the first 3 hours after the Landers earthquake, 3-4 M≥3 shocks clustered at Big Bear, where the Landers earthquake was later calculated by Stein and others (1992) to have increased the Coulomb stress by 1 bar. The M=6.5 Big Bear quake (large open circle) stuck at this site 3 hr 8 min after the Landers mainshock. Albeit with considerably less accuracy, CoulombExpress would be able to deliver a warning before the second mainshock occurred.

Under this opportunity the Fellow would help to develop a robust automatic system to calculate Coulomb stress changes using real-time and near-real-time seismic catalog information, such as magnitude, location, depth, and the two nodal planes (fig. 2). The simplest module would use earthquake location, depth and magnitude only, the information most rapidly available. The assumed plane of the earthquake source fault and surrounding receiver faults (sites of aftershocks or successive mainshocks) would be based on a smooth matrix of typical fault orientations based on the distribution of active faults. For cases in which focal mechanism information is available, we propose to calculate the Coulomb stress change on both nodal planes, making the assumption that the receiver (or surrounding) faults have the same strike, rake, and dip as the source faults (fig. 3). In addition, we will resolve the stress changes on the mapped major active faults in their rake directions (fig. 4).

Flow diagram Figure 2. Flow diagram of the CoulombExpress modules and products. The seismicity “Rate Forecast” at bottom is based on Toda and others (2005); it will be the focus of the Fellow’s work during Phase II.

To test the feasibility of this opportunity, the research advisors have built a matrix of assumed source and receiver fault planes for all of California for this purpose, based on focal mechanisms and active faults. We calculate the maximum stress change over a pre-specified depth range. The fault friction coefficient and crustal elastic parameters are standardized. For resolving stress on mapped active faults, we will use the new U.S. Geological Survey–California Geological Survey–Southern California Earthquake Center California Reference Fault Parameter Database and its equivalent in Japan.

Running Coulomb Express in both California and Japan will double the sample of captured M≥5 earthquakes, enabling the Fellow to assess the strengths and weaknesses of the system during the first test year. Because focal mechanism information is automatically accessible from the Global CMT database, we can also test CoulombExpress on M≥6 earthquakes around the globe. CoulombExpress will run on a dedicated MATLAB server running a highly modified version of Coulomb? (http://www.coulombstress.org/) (Toda and others, 2007).

Stress changes for the 29 July 2008 Mw=5.4 Chino Hills earthquake Figure 3. Stress changes for the 29 July 2008 Mw=5.4 Chino Hills earthquake based on the initial Global CMT parameters. Both nodal planes (right and left panels) are considered for sources and receiver faults. An example pre-set calculation of the maximum stress changes over 510 km depth with friction=0.4 is shown.
Stress imparted
            by the 29 July 2008 Mw=5.4 Chino Hills quake to surrounding active
            faults (left panel). The short blue vectors give the receiver fault
            rakes, which are used in the calculation. MATLAB 'fig' files
          will be automatically generated, which can be spun and tilted by users
        of MATLAB, as shown at right.
Figure 4. Stress imparted by the 29 July 2008 Mw=5.4 Chino Hills quake to surrounding active faults (left panel). The short blue vectors give the receiver fault rakes, which are used in the calculation. MATLAB “fig” files will be automatically generated, which can be spun and tilted by users of MATLAB, as shown at right.

The successful applicant will have a strong background in geophysics or seismology and scientific computing, and be interested in spending considerable time in Japan.

References

Kilb, D., Gomberg, J., and Bodin, P., 2002, Aftershock triggering by complete Coulomb stress changes: Journal of Geophysical Research, v. 107, doi:10.1029/2001JB000202.

King, G.C.P., and Cocco, M., 2000, Fault interaction by elastic stress changes: New clues from earthquake sequences: Advances in Geophysics, v. 44, p. 1–36.

McCloskey, J., Nalbant, S.S., and Steacy, S., 2005, Indonesian earthquake: Earthquake risk from co-seismic stress: Nature, v. 434, p. 291.

Stein, R.S., 1999, The role of stress transfer in earthquake occurrence: Nature, v. 402, p. 605–609.

Stein, R.S., King, G.C.P., and Lin, J., 1992, Change in failure stress on the southern San Andreas fault system caused by the 1992 magnitude=7.4 Landers earthquake: Science, v. 258, p. 1328–1332.

Toda, S., Stein, R.S., Richards-Dinger , K., and Bozkurt, S., 2005, Forecasting the evolution of seismicity in southern California: Animations built on earthquake stress transfer: Journal of Geophysical Research, v. B05S16, doi:10.1029/2004JB003415.

Toda, S., Stein, R.S., Lin, J., and Sevilgen, V., 2007, Coulomb 3, Graphic-rich stress change and deformation software for earthquake, tectonic, and volcano research and teaching; Mac/PC/Linux application, 60-p. user guide (http://www.coulombstress.org/).

Toda, S., Lin, J., Meghraoui, M., and Stein, R.S., 2008, 12 May 2008 M=7.9 Wenchuan, China, earthquake calculated to increase failure stress and seismicity rate on three major fault systems: Geophysical Research Letters, doi:10.1029/2008GL034903.

Proposed Duty Station: Menlo Park, CA

Areas of Ph.D.: Geology, geophysics, seismology, computer science (candidates holding a Ph.D. in other disciplines but with knowledge and skills relevant to the Research Opportunity may be considered).

Qualifications: Applicants must meet one of the following qualifications: Research Geologist, Research Geophysicist, Computer Scientist

(This type of research is performed by those who have backgrounds for the occupations stated above. However, other titles may be applicable depending on the applicant's background, education, and research proposal. The final classification of the position will be made by the Human Resources specialist.)

Research Advisor(s): Ross Stein, (650) 329-4840, rstein@usgs.gov; Shinji Toda (DPRI, Kyoto University), +81 774-38-4234, toda@rcep.dpri.kyoto-u.ac.jp

Human Resources Office contact: Candace Azevedo, (916)?78-9393, caazevedo@usgs.gov


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U.S. Department of the Interior, U.S. Geological Survey
URL: http://geology.usgs.gov/postdoc/2011/opps/opp34.html
Direct inquiries to Rama K. Kotra at rkotra@usgs.gov
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