Assorted innovations in earthquake early warning and rapid response
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Assorted innovations in earthquake early warning and rapid response. Sarah Minson. Why Assorted?. What we did Real-time inversion for finite fault slip models and rupture geometry based on high-rate GPS data Jessica Murray, John Langbein , Joan Gomberg Go see the poster! What we’re doing

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Why assorted
Why Assorted? response

  • What we did

    • Real-time inversion for finite fault slip models and rupture geometry based on high-rate GPS data

      • Jessica Murray, John Langbein, Joan Gomberg

      • Go see the poster!

  • What we’re doing

    • Crowd-sourced geodesy for earthquake hazard and process studies

      • USGS Innovation Center for Earth Sciences (ICES)

      • Benjamin Brooks, Jessica Murray, Carol Prentice (USGS), Bob Iannucci (CMU-SV)

    • GPU implementation of real-time finite fault inversion

      • ICES

      • Jessica Murray (USGS), Ole Mengshoel (CMU-SV)

    • Performance testing real-time finite fault inversions in Cascadia

      • David Schmidt (UW)


Special thanks to brad aagaard yehuda bock brendan crowell asaf inbal hiroo kanamori and sue owen

Real-time inversion for finite fault slip models and rupture geometry based on high-rate GPS dataSarah E. Minson, Jessica R. Murray,John O. Langbein, Joan S. GombergUSGS Earthquake Science Center

Special Thanks to:

Brad Aagaard, Yehuda Bock, Brendan Crowell, AsafInbal, HirooKanamori, and Sue Owen


Earthquake early warning eew
Earthquake Early Warning (EEW) geometry based on high-rate GPS data

  • Use data from near an earthquake rupture to warn population centers at a distance that shaking is imminent

    • Information can be transmitted at the speed of light but strongest shaking is carried by waves traveling ~3.5 km/s

    • Warnings can be used not only to alert people but to prepare infrastructure

      • Slow BART trains

      • Open fire station doors

      • Bring elevators to nearest floor


Earthquake studies
Earthquake studies geometry based on high-rate GPS data

  • In real-time, determine basic information (location, magnitude)

  • Later, determine spatial distribution of slip

    • Involves 100s or 1,000s of free parameters in a highly under-determined and non-linear inverse problem

      • Really we want to do the full slip model in real-time

        • In real-time, missing basic information such as which fault is rupturing


Solution
Solution geometry based on high-rate GPS data

  • Solve for slip AND fault geometry using semi-analytical solution


Crowd-sourced geodesy for earthquake hazard and process studiesBenjamin Brooks1, Jessica Murray1, Sarah Minson1Carol Prentice1, Bob Iannucci21USGS Earthquake Science Center2Carnegie Mellon University - Silicon Valley

ICES


Introduction
Introduction studies

  • Real-time high-rate scientific-quality GPS data is proving to be very valuable for EEW and rapid response

    • Very limited global distribution

  • Low quality GPS receivers are globally ubiquitous

    • Smartphones

    • GPS navigation in cars

  • Can supplement with low-cost community instruments (LCCIs)

    • Quake Catcher Network


Challenges
Challenges studies

  • Huge errors associated with pseudorange-based GPS locations

  • Even huger errors associated with attaching GPS to humans

  • Communications issues

  • Data volume could be enormous


Caveat
Caveat studies

  • This is an altruistic EEW system

    • Normally we use instruments near the source to warn humans at a distance

    • Here we use instruments attached to humans near the source to warn humans at a distance


To do
To-Do studies

  • Fit displacement amplitudes

  • Earthquake location and Mw

  • Data resampling

  • Focal mechanism

  • Slip modeling

  • Detection?

  • Quality control?

  • e.g., Scripps group

  • Reuse real-time finite fault inversion

Northing

Easting



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