Wu Kanamori etal-GJI-2007
Wu Kanamori etal-GJI-2007
Accepted 2007 February 28. Received 2007 February 28; in original form 2006 August 10
                                                      SUMMARY
                                                      We explore a practical approach to earthquake early warning in southern California by deter-
                                                      mining a ground-motion period parameter τc and a high-pass filtered displacement amplitude
                                                      parameter Pd from the initial 3 s of the P waveforms recorded at the Southern California Seis-
                                                      mic Network stations for earthquakes with M > 4.0. At a given site, we estimate the magnitude
                                                      of an event from τc and the peak ground-motion velocity (PGV ) from Pd. The incoming three-
                                                      component signals are recursively converted to ground acceleration, velocity and displacement.
                                                      The displacements are recursively filtered with a one-way Butterworth high-pass filter with a
                                                      cut-off frequency of 0.075 Hz, and a P-wave trigger is constantly monitored. When a trigger
                                                      occurs, τc and Pd are computed. We found the relationship between τc and magnitude (M) for
                                                      southern California, and between Pd and PGV for both southern California and Taiwan. These
                                                      two relationships can be used to detect the occurrence of a major earthquake and provide onsite
                                                      warning in the area around the station where onset of strong ground motion is expected within
                                                      seconds after the arrival of the P wave. When the station density is high, the methods can be
                                                                                                                                                                      GJI Seismology
                                                      applied to multistation data to increase the robustness of onsite early warning and to add the
                                                      regional warning approach. In an ideal situation, such warnings would be available within 10 s
                                                      of the origin time of a large earthquake whose subsequent ground motion may last for tens of
                                                      seconds.
                                                      Key words: earthquake early warning, magnitude, P-waves, seismic hazard mitigation.
              
              C 2007 The Authors                                                                                                                                 1
              Journal compilation 
                                  C 2007 RAS
May 4, 2007    14:16      Geophysical Journal International       gji˙3430
2 Y.-M. Wu et al.
          2005). In particular, JMA has started sending early warning mes-                    Using data from Taiwan, Wu & Kanamori (2005b) showed that
          sages to potential users responsible for emergency responses. The                the peak initial displacement amplitude, Pd, correlates well with the
          potential users include railway systems, construction companies,                 peak ground-motion velocity, PGV , at the same site. When Pd >
          and others. They are familiar with the implications of early warn-               0.5 cm, the event is most likely damaging. Wu & Kanamori
          ing messages, as well as the technical limitations of EEW. Allen &               (2005a,b) demonstrated that the combination of the τc and Pd meth-
          Kanamori (2003) also explored the feasibility of using data from                 ods can provide reliable threshold warnings within 10 s after the
          the Southern California Seismic Network (SCSN) to issue regional                 occurrence of a large earthquake. Wu and Zhao (2006) investigated
          early warnings.                                                                  the attenuation of Pd with the hypocentral distance R in southern
             In contrast, the onsite approach is faster, and could provide useful          California as a function of magnitude M, and obtained the following
          early warning to sites at short distances from the epicentre where               relationships:
          an early warning is most needed. Onsite early warning can be either
                                                                                               M Pd = 4.748 + 1.371 × log(Pd ) + 1.883 × log(R) and
          a single station or a dense array operation. For a single station oper-
          ation, signals from P waves are used for magnitude and hypocentre                log(Pd ) = −3.463 + 0.729 × M − 1.374 × log(R).                        (1)
          determination to predict strong ground shaking. Nakamura (1984)                     For regional warning approach, when an earthquake location
          first proposed this concept and also introduced a simple strong-                 is determined by the P-wave arrival times at stations close to the
          motion index for onsite EEW (Nakamura 2004). However, the reli-                  epicentre, this relationship can be used to estimate the earthquake
          ability of earthquake information is generally less than that obtained           magnitude. Their result shows that for earthquakes in southern Cali-
          with the regional warning system. New techniques may be developed                fornia the Pd magnitudes agree with the catalogue magnitudes with
          to improve the onsite warning accuracy. There is always a trade-off              a standard deviation of 0.18 for events less than magnitude 6.5.
          between warning time and the reliability of the earthquake informa-              They concluded that Pd is a robust measurement for estimating the
          tion. Generally, an information updating procedure is necessary for              magnitudes of earthquakes for regional early warning purposes in
          any EEW system.                                                                  southern California.
             Onsite warning methods can be especially useful in regions where                 In this paper, following our study for Taiwan, we have explored
          a dense seismic network is deployed. Kanamori (2005) extended the                the use of τc and Pd methods for seismic early warning purposes in
          method of Nakamura (1988) and Allen & Kanamori (2003) to deter-                  southern California using the data from the SCSN operated jointly by
          mine a period parameter,
                              √       τc , from the
                                                  τ initial 3 s ofPτ waves. τc is de-    the United States Geological Survey (USGS) and the California In-
          fined as τc = 2π/ r , where r = [ 0 0 u̇ 2 (t)dt]/[ 0 0 u 2 (t)dt] (u(t):        stitute of Technology (Caltech). Fig. 1 shows the station distribution
          ground-motion displacement; τ0 is the duration of record used, usu-              of SCSN. We will determine various regression relations between
          ally 3 s, and can be computed from the incoming data sequentially. τc            magnitude and τc , and Pd and PGV from the SCSN archived dataset
          represents the size of an earthquake. Wu & Kanamori (2005a) stud-                (i.e. offline mode). The relationships determined in this paper can be
          ied the records from Taiwan systematically to explore the usefulness             used to guide the future implementation of early warning systems
          of the τc method for early warning purposes.                                     in real time.
          Figure 1. Map of broadband stations recorded by the Caltech/USGS Southern California Seismic Network (SCSN). SCSN stations are shown as circles, Anza
          Seismic Network stations as triangles, and Berkeley Digital Seismic Network (BDSN) as open squares. The epicentres of the earthquakes included in this study
          are shown as stars.
                                                                                                                                            
                                                                                                                                            C 2007 The Authors, GJI
                                                                                                                                    Journal compilation 
                                                                                                                                                        C 2007 RAS
May 4, 2007   14:16     Geophysical Journal International       gji˙3430
              
              C 2007 The Authors, GJI
              Journal compilation 
                                  C 2007 RAS
May 4, 2007    14:16     Geophysical Journal International   gji˙3430
4 Y.-M. Wu et al.
          log τc = 0.237M − 1.462 ± 0.091         and                               For onsite warning, only near-source signals are used and, in princi-
                                                                                    ple, the determinations of τc and Pd from a single station are all that
              M = 4.218 log τc + 6.166 ± 0.385.                              (2)    are needed. When we have a very dense network, however, we can
                                                                                    combine the data from multiple stations to increase the robustness
          The standard deviation of the estimate of M is 0.39 for all the events.   of warning and also add the regional warning approach. We ex-
          This regression is based on the average τc for each event with at least   plored this possibility using 13 events selected from the list given in
          three measurements.                                                       Table 1. These events are from 1998 to 2005 for which at least four
             Fig. 3 shows the relationship between Pd and PGV for the 199           stations within 30 km of the epicentre are available. Our algorithm
          records with epicentral distances less than 30 km (red solid circles).    automatically picks the P arrival and determines τc and Pd for all the
          PGV values increase with Pd approximately logarithmically, as ob-         records within 30 km of the epicentre. Then, we average the τc and
          served in our previous results from Taiwan (Wu & Kanamori 2005b)          Pd values determined at these stations. We use the average values to
          shown by blue diamonds in Fig. 3. So far, the data from southern          predict the average PGV for the area using eq. (3). Fig. 4 shows the
          California are for relatively small ground motions. In contrast, the      relationship between the predicted and measured average PGV . The
          results from Taiwan include the data from sites with large ground         average ratio of predicted to observed PGV is 0.940 with a small un-
          motions. However, the trend is similar for Taiwan and southern            certainty of 0.143 on the logarithmic scale. The uncertainty is much
          California. Combining the data from Taiwan and southern Califor-          smaller than that in Fig. 3. The uncertainty of intensity prediction
          nia helps to extrapolate the present southern California results to-      is now reduced from 1.1 to 0.5 units. Thus, dense array deployment
          ward larger ground motions. For the combined data set, we obtained        can be a practical means to reduce the uncertainty of onsite EEW.
          a regression relation                                                        To add the regional warning approach, we use 4–6 earliest P
                                                                                    arrivals (not every event has six stations within the distance range
          log(P GV ) = 0.903 log(Pd) + 1.609 ± 0.309                                of 30 km) to locate the event. A simple half-space velocity model
                         (P GV in cm/sec and Pd in cm).                      (3)    is used with a P-wave velocity of 5.8 km s–1 . This velocity is em-
                                                                                    pirically obtained from traveltime curves within 30 km from the
             The southern California instrumental intensity scale for large         epicentre. Once the hypocentre is determined, we can estimate the
          events is defined with respect to PGV (Wald et al. 1999a,b). From         magnitude from Pd at each station using (1), and take the average
          these empirical relationships we can predict PGV or intensity from        over all the stations to estimate the event magnitude. Fig. 5 shows
          the initial 3 s of P waves for early warning purposes. In southern        the comparison between the magnitude estimated from Pd (denoted
          California, instrumental intensity (I MM ) is related to PGV by I MM =    by M pd ) and the magnitude computed from τc (denoted by Mτc ). For
          3.51 log (PGV ) + 2.35 for V ≤ I MM ≤ IX (Wald et al. 1999a). Thus,       some of the events shown by red solid square symbols in Fig. 5,
          the standard deviation of 0.309 in log(PGV ) leads to an uncertainty      we do not have multiple stations to locate the hypocentre. For
          of 1.1 in intensity.                                                      those events, we used the catalogue locations to compute M pd . The
                                                                                                                                     
                                                                                                                                     C 2007 The Authors, GJI
                                                                                                                             Journal compilation 
                                                                                                                                                 C 2007 RAS
May 4, 2007   14:16      Geophysical Journal International       gji˙3430
                                                                                              5 P R A C T I C A L I S S U E S A S S O C I AT E D
                                                                                              W I T H O N L I N E I M P L E M E N T AT I O N
                                                                                              In the online mode, when τ c , Pa and Pd are measured, no information
                                                                                              about the event magnitude and the epicentral distance is available.
                                                                                              As we discussed earlier, when Pd or Pa is small, the measurement of
                                                                                              τ c cannot be made reliably. Such an event with small Pd or Pa is not
                                                                                              important for early warning purposes and we can ignore such events.
                                                                                              If Pd or Pa is larger than a threshold value, the measured Pd and τ c
                                                                                              can be used to estimate the shaking intensity and M, respectively,
                                                                                              although the value of M is not directly used for onsite early warning
                                                                                              purposes. In principle, a single measurement of τ c and Pd is enough
                                                                                              for onsite warning, but in practice it is desirable to have more than
                                                                                              one pair of measurements to increase the reliability and robustness of
                                                                                              the warning. In the offline result presented above, the average of five
                                                                                              readings provides a fairly reliable estimate. However, in the online
                                                                                              mode, the time after the first trigger is the key parameter. If the event
                                                                                              is located inside a dense network, then the five-station average can be
                                                                                              obtained fairly rapidly. However, if the station distribution is sparse,
              Figure 4. Relationship between predicted and observed PGV of 13 test
                                                                                              it will take too long to get the five-station average to be useful for
              events. Solid line shows 1:1 line and the two dashed lines show the range of    early warning. Exactly how long we should wait depends on many
              one standard deviation.                                                         practical factors, and cannot be decided until actual implementation
                                                                                              is achieved.
                                                                                                  To establish the empirical relationships between M and τ c ,
                                                                                              and Pd and PGV in real-time mode, we need to test the algo-
                                                                                              rithms for a sufficiently long time. Such a testing of algorithms
                                                                                              is presently planned within California Integrated Seismic Network
                                                                                              (CISN).
                                                                                                  By necessity for early warning purposes, the two parameters, τ c
                                                                                              and Pd, are determined only from the very beginning of a seismic
                                                                                              record and considerable scatter in the τ c versus M and Pd versus
                                                                                              PGV relationships is inevitable. The errors in estimation of M and
                                                                                              PGV may lead to false alarms and missed alarms. How to deal with
                                                                                              false alarms and missed alarms is an important issue in EEW, but
                                                                                              it must be discussed in relation to the specific use of early warning
                                                                                              information, which is beyond the scope of this paper.
                                                                                              6 D I S C U S S I O N S A N D C O N C LU S I O N S
                                                                                              The period parameter τc from SCSN is smaller than that for a sim-
                                                                                              ilar magnitude earthquake in Taiwan. For most events with M >
                                                                                              5 in Taiwan, τc > 1 s while for the events with M > 6 in south-
                                                                                              ern California,τc > 1 s. This may be due to the difference in S/N
                                                                                              ratio, especially for smaller earthquakes. Records from Taiwan are
                                                                                              16-bit strong-motion data, and those from SCSN are mainly from
                                                                                              24-bit broad-band data, especially for small earthquakes. The use of
              Figure 5. Magnitudes estimated from τc versus those estimated from Pd.          strong-motion data involves double integration which occasionally
              Blue solid circles show the measurements for the 27 events. Red solid squares   results in long-period drift and larger τc . However, the difference
              show the measurements for the 13 test events. Solid line shows 1:1 line and     in τc is expected to decrease as the event size increases. For practi-
              the two dashed lines show the range of one standard deviation 0.39.             cal early warning purposes, we are concerned with the events with
                                                                                              M > 6.
                                                                                                 Considerable uncertainties in magnitude determination or inten-
              agreement between M pd and Mτc is good, and using Pd, in addition               sity prediction using the initial P waves are inevitable. If the seismic
              to τc , for magnitude estimation increases the robustness of early              network is dense we can significantly reduce the uncertainties by
              warning. With the hypocentre and the magnitude having been esti-                taking the average of the measurements from several stations. In
              mated, we can extend our method to regional warning, if desired.                our test, the uncertainties of magnitude determination and intensity
              The hypocentre location error is about 6 km for the 13 events listed            can be reduced to 0.3 and 0.5, respectively, if more than four stations
              in Table 1. The location error of 6 km is acceptable within the point           are available within 30 km of the epicentre.
              
              C 2007 The Authors, GJI
              Journal compilation 
                                  C 2007 RAS
May 4, 2007    14:16      Geophysical Journal International        gji˙3430
6 Y.-M. Wu et al.
                                                                                                                                            
                                                                                                                                            C 2007 The Authors, GJI
                                                                                                                                    Journal compilation 
                                                                                                                                                        C 2007 RAS
May 4, 2007   14:16      Geophysical Journal International     gji˙3430
               seismic network operations, Lecture Notes in Earth Sciences, 98, 221–      Wu, Y.M. & Kanamori, H., 2005a. Experiment on an onsite early warning
               234.                                                                        method for the Taiwan early warning system, Bull. Seism. Soc. Am., 95,
              Wald, D.J., Quitoriano, V., Heaton, T.H. & Kanamori, H., 1999a. Relation-    347–353.
               ships between peak ground acceleration, peak ground velocity, and mod-     Wu, Y.M. & Kanamori, H., 2005b. Rapid assessment of damaging potential
               ified Mercalli intensity in California, Earthquake Spectra, 15, 557–564.    of earthquakes in Taiwan from the beginning of P Waves, Bull. Seism.
              Wald, D.J., Quitoriano, V., Heaton, T.H., Kanamori, H., Scrivner, C.W. &     Soc. Am., 95, 1181–1185.
               Worden, C.B., 1999b. TriNet “ShakeMaps”: rapid generation of peak          Wu, Y.M., Hsiao, N.C., Lee, W.H.K., Teng, T.L. & Shin, T.C., 2006a. State of
               ground motion and intensity maps for earthquakes in Southern California,    the art and progresses of early warning system in Taiwan, in Seismic Early
               Earthquake Spectra, 15, 537–555.                                            Warning, in press eds Gasparini, P., Manfredi, G. & Zschau, J., Springer,
              Wu, Y.M., Shin, T.C. & Tsai, Y.B., 1998. Quick and reliable determination    Berlin.
               of magnitude for seismic early warning, Bull. Seism. Soc. Am., 88, 1254–   Wu, Y.M., Yen, H.Y., Zhao, L., Huang, B.S. & Liang, W.T., 2006b. Magnitude
               1259.                                                                       determination using initial P waves: A single-station approach, Geophys.
              Wu, Y.M. & Teng, T.L., 2002. A virtual sub-network approach to earthquake    Res. Lett., 33, L05306, doi:10.1029/2005GL025395.
               early warning, Bull. Seism. Soc. Am., 92, 2008–2018.                       Wu, Y.M. & Zhao, L., 2006. Magnitude estimation using the first three
              Wu, Y.M. & Teng, T.L., 2004. Near real-time magnitude determination for      seconds P-wave amplitude in earthquake early warning, Geophys. Res.
               large crustal earthquakes, Tectonophysics, 390, 205–216.                    Lett., 33, L16312, doi:10.1029/2006GL026871.
              
              C 2007 The Authors, GJI
              Journal compilation 
                                  C 2007 RAS