Location

Location ANSS

The ANSS event ID is us70005t9y and the event page is at https://earthquake.usgs.gov/earthquakes/eventpage/us70005t9y/executive.

2019/10/11 01:10:52 31.297 -109.031 10.0 3.7 Sonora, MX

Focal Mechanism

USGS/SLU Moment Tensor Solution ENS 2019/10/11 01:10:52:0 31.30 -109.03 10.0 3.7 Sonora, MX Stations used: AE.214A AE.319A AE.DUN6 AE.HANNA AE.TONTO AE.X18A EP.KIDD IU.TUC SC.121A TA.Y22D TX.VHRN US.MNTX Filtering commands used: cut o DIST/3.3 -40 o DIST/3.3 +50 rtr taper w 0.1 hp c 0.03 n 3 lp c 0.08 n 3 br c 0.12 0.25 n 4 p 2 Best Fitting Double Couple Mo = 4.95e+21 dyne-cm Mw = 3.73 Z = 9 km Plane Strike Dip Rake NP1 90 75 25 NP2 353 66 164 Principal Axes: Axis Value Plunge Azimuth T 4.95e+21 28 313 N 0.00e+00 61 119 P -4.95e+21 6 220 Moment Tensor: (dyne-cm) Component Value Mxx -1.05e+21 Mxy -4.34e+21 Mxz 1.81e+21 Myy -3.79e+14 Myz -1.16e+21 Mzz 1.05e+21 ######-------- ###########----------- ###############------------- #################------------- ##### ############-------------- ###### T #############-------------- ####### ##############-------------- #########################--------------- #########################--------------- ###########################--------------- ###########################--------------- --#########################-------------## ---------##################------######### --------------------------############## --------------------------############## -------------------------############# ------------------------############ -----------------------########### - ----------------########## P ----------------######### ---------------####### ----------#### Global CMT Convention Moment Tensor: R T P 1.05e+21 1.81e+21 1.16e+21 1.81e+21 -1.05e+21 4.34e+21 1.16e+21 4.34e+21 -3.79e+14 Details of the solution is found at http://www.eas.slu.edu/eqc/eqc_mt/MECH.NA/20191011011052/index.html

Preferred Solution

      STK = 90
      DIP = 75
     RAKE = 25
       MW = 3.73
       HS = 9.0

The NDK file is 20191011011052.ndk The waveform inversion is preferred.

Magnitudes

Given the availability of digital waveforms for determination of the moment tensor, this section documents the added processing leading to mLg, if appropriate to the region, and M_L by application of the respective IASPEI formulae. As a research study, the linear distance term of the IASPEI formula for M_L is adjusted to remove a linear distance trend in residuals to give a regionally defined M_L. The defined M_L uses horizontal component recordings, but the same procedure is applied to the vertical components since there may be some interest in vertical component ground motions. Residual plots versus distance may indicate interesting features of ground motion scaling in some distance ranges. A residual plot of the regionalized magnitude is given as a function of distance and azimuth, since data sets may transcend different wave propagation provinces.

ML Magnitude

Left: ML computed using the IASPEI formula for Horizontal components. Center: ML residuals computed using a modified IASPEI formula that accounts for path specific attenuation; the values used for the trimmed mean are indicated. The ML relation used for each figure is given at the bottom of each plot. Right: Residuals from new relation as a function of distance and azimuth.

Left: ML computed using the IASPEI formula for Vertical components (research). Center: ML residuals computed using a modified IASPEI formula that accounts for path specific attenuation; the values used for the trimmed mean are indicated. The ML relation used for each figure is given at the bottom of each plot. Right: Residuals from new relation as a function of distance and azimuth.

Context

Waveform Inversion using wvfgrd96

The focal mechanism was determined using broadband seismic waveforms. The location of the event (star) and the stations used for (red) the waveform inversion are shown in the next figure.

Location of broadband stations used for waveform inversion

The program wvfgrd96 was used with good traces observed at short distance to determine the focal mechanism, depth and seismic moment. This technique requires a high quality signal and well determined velocity model for the Green's functions. To the extent that these are the quality data, this type of mechanism should be preferred over the radiation pattern technique which requires the separate step of defining the pressure and tension quadrants and the correct strike.

The observed and predicted traces are filtered using the following gsac commands:

cut o DIST/3.3 -40 o DIST/3.3 +50
rtr
taper w 0.1
hp c 0.03 n 3 
lp c 0.08 n 3 
br c 0.12 0.25 n 4 p 2

           DEPTH  STK   DIP  RAKE   MW    FIT
WVFGRD96    1.0    85    70    20   3.47 0.4015
WVFGRD96    2.0    90    60    30   3.60 0.5026
WVFGRD96    3.0    90    65    30   3.63 0.5333
WVFGRD96    4.0    90    70    30   3.65 0.5574
WVFGRD96    5.0    90    75    30   3.66 0.5754
WVFGRD96    6.0    90    75    25   3.67 0.5866
WVFGRD96    7.0    90    75    20   3.68 0.5907
WVFGRD96    8.0    90    75    25   3.72 0.5989
WVFGRD96    9.0    90    75    25   3.73 0.5998
WVFGRD96   10.0    90    80    25   3.74 0.5985
WVFGRD96   11.0    90    80    20   3.74 0.5963
WVFGRD96   12.0    90    80    20   3.76 0.5927
WVFGRD96   13.0    90    80    20   3.77 0.5870
WVFGRD96   14.0    90    80    20   3.79 0.5788
WVFGRD96   15.0    90    80    15   3.79 0.5718
WVFGRD96   16.0    90    80    15   3.81 0.5634
WVFGRD96   17.0    90    80    15   3.82 0.5535
WVFGRD96   18.0    90    80    15   3.83 0.5419
WVFGRD96   19.0    90    65    20   3.86 0.5322
WVFGRD96   20.0    90    65    20   3.87 0.5275
WVFGRD96   21.0    90    65    20   3.88 0.5224
WVFGRD96   22.0    85    65    15   3.89 0.5148
WVFGRD96   23.0    85    60    15   3.90 0.5085
WVFGRD96   24.0    85    65    15   3.91 0.5000
WVFGRD96   25.0    85    60    15   3.92 0.4914
WVFGRD96   26.0    85    60    15   3.93 0.4826
WVFGRD96   27.0    85    60    15   3.94 0.4723
WVFGRD96   28.0    80    60    10   3.95 0.4636
WVFGRD96   29.0    80    60    10   3.96 0.4545

The best solution is

WVFGRD96    9.0    90    75    25   3.73 0.5998

The mechanism corresponding to the best fit is

Figure 1. Waveform inversion focal mechanism

The best fit as a function of depth is given in the following figure:

Figure 2. Depth sensitivity for waveform mechanism

The comparison of the observed and predicted waveforms is given in the next figure. The red traces are the observed and the blue are the predicted. Each observed-predicted component is plotted to the same scale and peak amplitudes are indicated by the numbers to the left of each trace. A pair of numbers is given in black at the right of each predicted traces. The upper number it the time shift required for maximum correlation between the observed and predicted traces. This time shift is required because the synthetics are not computed at exactly the same distance as the observed, the velocity model used in the predictions may not be perfect and the epicentral parameters may be be off. A positive time shift indicates that the prediction is too fast and should be delayed to match the observed trace (shift to the right in this figure). A negative value indicates that the prediction is too slow. The lower number gives the percentage of variance reduction to characterize the individual goodness of fit (100% indicates a perfect fit).

The bandpass filter used in the processing and for the display was

cut o DIST/3.3 -40 o DIST/3.3 +50
rtr
taper w 0.1
hp c 0.03 n 3 
lp c 0.08 n 3 
br c 0.12 0.25 n 4 p 2

Figure 3. Waveform comparison for selected depth. Red: observed; Blue - predicted. The time shift with respect to the model prediction is indicated. The percent of fit is also indicated. The time scale is relative to the first trace sample.

Focal mechanism sensitivity at the preferred depth. The red color indicates a very good fit to the waveforms. Each solution is plotted as a vector at a given value of strike and dip with the angle of the vector representing the rake angle, measured, with respect to the upward vertical (N) in the figure.

A check on the assumed source location is possible by looking at the time shifts between the observed and predicted traces. The time shifts for waveform matching arise for several reasons:

• The origin time and epicentral distance are incorrect
• The velocity model used for the inversion is incorrect
• The velocity model used to define the P-arrival time is not the same as the velocity model used for the waveform inversion (assuming that the initial trace alignment is based on the P arrival time)

 Time_shift = A + B cos Azimuth + C Sin Azimuth

The time shifts for this inversion lead to the next figure:

The derived shift in origin time and epicentral coordinates are given at the bottom of the figure.

Velocity Model

The WUS.model used for the waveform synthetic seismograms and for the surface wave eigenfunctions and dispersion is as follows (The format is in the model96 format of Computer Programs in Seismology).

MODEL.01
Model after     8 iterations
ISOTROPIC
KGS
FLAT EARTH
1-D
CONSTANT VELOCITY
LINE08
LINE09
LINE10
LINE11
      H(KM)   VP(KM/S)   VS(KM/S) RHO(GM/CC)         QP         QS       ETAP       ETAS      FREFP      FREFS
     1.9000     3.4065     2.0089     2.2150  0.302E-02  0.679E-02   0.00       0.00       1.00       1.00    
     6.1000     5.5445     3.2953     2.6089  0.349E-02  0.784E-02   0.00       0.00       1.00       1.00    
    13.0000     6.2708     3.7396     2.7812  0.212E-02  0.476E-02   0.00       0.00       1.00       1.00    
    19.0000     6.4075     3.7680     2.8223  0.111E-02  0.249E-02   0.00       0.00       1.00       1.00    
     0.0000     7.9000     4.6200     3.2760  0.164E-10  0.370E-10   0.00       0.00       1.00       1.00