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Teleseismic Location find direction of signals based on Array algorithms backtrace ray paths through the earth simplifications: flat earth, plane waves.

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Presentation on theme: "Teleseismic Location find direction of signals based on Array algorithms backtrace ray paths through the earth simplifications: flat earth, plane waves."— Presentation transcript:

1 Teleseismic Location find direction of signals based on Array algorithms backtrace ray paths through the earth simplifications: flat earth, plane waves usually high or reasonable waveform similarity

2 Epicentre Location using Arrays Problem: inaccuracy due to deviations from velocity model at the receiver Solution: array calibration (empirical corrections to direction)

3 Principle of Array Analysis for a given station geometry: t 1, t 2, t 3 (observed) → plane wave (azimuth and slowness) → t 1 ', t 2 ', t 3 ' (theo)

4 Validate result apply negative (t 1 ',t 2 ',t 3 ')

5 In real life...

6 Select Picks and measure t n

7 Check Accuracy (apply -t n ')

8 Larger aperture

9 Again, select picks and measure t n

10 Beamforming not satisfying

11 for appropriate configuration t 1, t 2,..., t n (observed) → plane wave → t 1 ', t 2 ',..., t n ' (theo) (t 1, t 2,..., t n ) ≈ (t 1 ', t 2 ',..., t n ' )

12 aperture too large / frequencies too high t 1, t 2,..., t n (observed) → plane wave → t 1 ', t 2 ',..., t n ' (theo) (t 1, t 2,..., t n ) ≠ (t 1 ', t 2 ',..., t n ' ) high veloc. low veloc.

13 problem with small arrays

14 Calibration of arrays

15 Closer look

16 FK Algorithm Plane wave determination without picking

17 Two ways of determining the plane wave a) measure t 1,t 2,t 3 directly and invert for slowness,azimuth b) try many plane waves systematically, inversely apply (t 1 ',t 2 ',t 3 ') delays and sum: assume plane wave with slowness and azimuth, compute theoretical delays (t 1 ',t 2 ',t 3 ') and apply, in most cases it looks like this: if you come close the true values of slowness and azimuth you will get aligen signals and constructive summation: compare summation amplitudes

18 FK diagram 30° 60° 120° 150°210° 240° 300° 330° 4 8 12 slowness azimuth constructive summation (correct t 1 ', t 2 ', t 3 ') destructive summation (wrong t 1 ', t 2 ', t 3 ')

19 Example: FK analysis, GRF array Event S. XinJiang, 25-Jul-2007, mb 4.6 30° 60° 120° 150°210° 240° 300° 330° 4 8 12 slowness azimuth

20 Tradeoff: location accuracy and coherency Frequency Array aperture no coherency no array features low resolution good array features location possible, low coherency

21 Arrays in Germany GERES: aperture ~4km frequencies: 1 - 50 Hz GRF: aperture ~100km frequencies: 0.1 – 5 Hz GRSN: aperture ~1000km frequencies: 0.01 – 0.5 Hz

22 Array aperture no coherency no array features low resolution good array features location possible, low coherency 0.05 50 1 GRSN GRF GERES Frequency (Hz) Resolution of German Arrays

23 Benefits of Array Data Processing Improvement of signal/noise ratio Determination of slowness and azimuth Phase identification Location of remote events Rupture tracking

24 XinJiang event, time domain Improvement of signal/noise ratio

25 Phase Identification

26 Phase Map, Antofagasta 17-Nov-2007, Chile

27

28 Rupture Tracking


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