|
|
|
|||||||||||||||||
| JOURNAL HOME | HELP | CONTACT PUBLISHER | SUBSCRIBE | ARCHIVE | SEARCH | TABLE OF CONTENTS |
1 GNS Science, PO Box 30368, Lower Hutt, New Zealand
| ABSTRACT |
|---|
|
|
|---|
9 or larger event. The 2004 Andaman Mw - 9.2 earthquake called into question such ideas. Given multicentury return times of the greatest earthquakes, ignorance of those return times and our very limited observation span, I suggest that we cannot yet make such determinations. Present evidence cannot rule out that any subduction zone may produce a magnitude 9 or larger earthquake. Based on theoretical recurrence times, I estimate that one to three M9 earthquakes should occur globally per century, and the past half century with five M9 events reflects temporal clustering and not the long-term average.
Key Words: subduction earthquakes earthquake recurrence earthquake history
| INTRODUCTION |
|---|
|
|
|---|
9, occur very infrequently, but when they do the damage and loss of life can be enormous, as we witnessed in December 2004. Most great earthquakes occur at submarine subduction zones where one tectonic plate slides at a gentle angle (10°–30°) beneath another. They can rupture hundreds of kilometers of the fault and generate destructive tsunami waves that can have far-reaching effects (Titov et al., 2005). With more than 40,000 km of subduction boundaries (Fig. 1) and the rupture of any one contiguous segment of several hundred kilometers length sufficient to produce an Mw
9, opportunities for them abound.
|
9 earthquake at any subduction zone. Simulations using recurrence times of the maximum size earthquakes (called M9) at subduction zones suggest that 1–3 M9 earthquakes should occur within any 100 yr span. The five M9 events that have occurred since 1952 probably represent temporal clustering and not a long-term average. | EARTHQUAKE SIZE LIMITED BY SUBDUCTION ZONE PROPERTIES |
|---|
|
|
|---|
High temperatures within the Earth promote ductile deformation, so that earthquakes may be smaller at subduction zones where young, hot lithosphere subducts slowly and warms up the fault zone (Tichelaar and Ruff, 1993). Regressions relating earthquake magnitudes to fault zone temperatures gave fits similar to those of the mechanical models (McCaffrey, 1997b). In both the mechanical and thermal processes, slow convergence tends to suppress great earthquake activity. Nevertheless, the Andaman subduction zone is among the world's slowest (GSA Data Repository Table DR11), yet produced the third-largest earthquake documented. An alternative view is that because slow convergence also increases the recurrence time, in a finite time slow subduction zones are merely less likely to have a great earthquake.
| RECURRENCE TIMES OF GREAT EARTHQUAKES |
|---|
|
|
|---|
From an observational point of view, this nominal multicentury time between M9 events is problematic because reliable records of earthquakes date back only a century in most places. Other information, such as written accounts and geologic observations, can be used to extend the history. In places where such data exist, the times between repeating great earthquakes are highly irregular. In Cascadia, for example, geologic observations related to earthquakes give an average time between events of 600 yr over the past 7700 yr (Goldfinger et al., 2003), yet the actual inter-event times range from
215 to 1488 yr (assuming all events were identified), revealing a very large randomness to when the margin breaks.
Because we often glean the recurrence interval for great earthquakes from field observations of past events, I first examine how well the recurrence time can be estimated from such data. To do this, I use a Monte Carlo simulation, assuming a Poisson probability function (Feller, 1966). The probability of an M9 is 1/T during any given year, where T is the simulated M9 recurrence time in years. Figure 2 shows the recovery of T given an observed history of duration H. When H >> T (e.g., H/T > 20), T is fairly well estimated, but for H/T < 10 it is not. For Cascadia, for example, H/T
13 (H
7700 yr; T
600 yr) and the standard deviation in T estimates will be
200 yr (T
0.3 Tactual; Fig. 2) simply from a sampling perspective. For most other subduction zones, H = 100 yr and if T
500 yr, then H/T = 0.5 and T will be unresolvable. Frohlich (2007) reaches similar conclusions regarding the completeness of earthquake catalogs.
|
| EARTHQUAKE SIZE LIMITED BY SUBDUCTION ZONE LENGTH |
|---|
|
|
|---|
The seismic moment of the largest possible earthquake on a fault of length L is
|
|
is the average fault dip angle (derived from earthquake mechanisms; Table DR1 [see footnote 1]). The recurrence time for this greatest earthquake is
|
|
is the fraction of slip on the boundary that occurs seismically. Extrapolating the Wells and Coppersmith (1994) relationships between M and L and M and u suggests that uav
2.5 x 10–5 L (see also Liu-Zeng et al., 2005). Using Equations 1 and 2 to estimate Mwmax (where Mw = 2/3 log Mo – 6.07, Mo in Nm) and T for each segment, each segment is capable of an M9 earthquake and globally the median recurrence time for them is 490 yr (using f = 1,
= 1; Table DR1; see footnote 1).
The value of f, the ratio of the moment of the largest quake to the total seismic moment, can be gleaned from the β value derived from the cumulative frequency-magnitude relationship,
|
|
β f
1 – β and are constants, and (see McCaffrey, 1997a, Fig. 1b; Feller, 1966). Kagan (1999) and Bird and Kagan (2004) estimated β for subduction zones to be in the range
0.55–0.68 (Table DR1; see footnote 1); hence f is likely to be between 0.32 and 0.45. In some cases a constant β at large magnitudes underestimates the size of the largest earthquake, which then underestimates f. For this reason I run the simulations considering values for f other than those obtained from β.
In addition, aseismic slip takes up some of the convergence. The fraction
, called the seismic coupling coefficient (Scholz, 1990), based on earthquake catalogs, is seen to vary greatly among subduction zones (Peterson and Seno, 1984; Pacheco et al., 1993; Scholz and Campos, 1995; Frohlich and Wetzel, 2007), but is very sensitive to the randomness of earthquake occurrence (McCaffrey, 1997a). We know from observed aseismic and postseismic slip and slow slip events that
< 1, but beyond that, long-term estimates are poor. Frohlich and Wetzel (2007) estimated a global value of 0.33, but individual values range from 0.07 to 0.7. In all calculations below I assume
= 1, which will minimize the recurrence times (maximizing M9 frequency). Accordingly, the recurrence time for an M9 could be 2 or more times longer than if all slip on the interface occurred by infrequent M9 earthquakes (i.e., when f = 1,
= 1).
Kagan (1999) showed that β values obtained from moderate sized earthquakes do not differ significantly among the subduction zones he studied, and suggested that it follows that there should not be a difference in the maximum earthquake magnitude at them. Inferences based on the incomplete 100 yr record of great earthquakes must be held suspect; there is no reason to expect that any of these margins cannot be the site of an M9.
| COMPARING EXPECTED TO OBSERVED MAXIMUM Mw |
|---|
|
|
|---|
|
As has been noted by many, and based on observational and theoretical arguments, the past 100 yr of earthquake history are not representative of longer term earthquake behavior on individual faults. Nevertheless, subduction seismicity models discussed earlier were validated by this incomplete earthquake record. For example, the largest known thrust earthquake at the Marianas subduction zone in the past 100 yr = 7.7 (in 1983). Because of this, was only Mw the Marianas is considered to represent the decoupled end-member subduction zone (Uyeda and Kanamori, 1979). However, the estimated M9 recurrence time for the Marianas is close to 900 yr and the probability of not having an M9 there during any 100 yr period is 89%.
| M9 FREQUENCY SIMULATIONS |
|---|
|
|
|---|
The simulation is tied to historical earthquake data in two ways: (1) through the use of β which is estimated from past seismicity, and (2) through the assumption that the average slip uav scales with fault length L. Typically β is determined by fits to earthquake size distributions and is based on many events. The estimated values are close to the theoretical value of 2/3 predicted by earthquake self-similarity arguments (Rundle, 1989). Because extrapolation of β to high magnitudes can sometimes underestimate the largest event, I also use larger f values that allow for more moment in the largest event. The slip/length ratio is estimated from many earthquakes and will probably not change much with additional data (Wells and Coppersmith, 1994). (For ranges of T based on ranges of v, β uav, and see footnote 1)
A Monte Carlo simulation is run for 30,000 centuries, and the probability distribution P of having N earthquakes in one century is calculated (Fig. 4). When more of the moment is in M9 quakes (higher f), the probability of having more M9 events increases (curves 1, 2, and 3; Fig. 4). The number of M9 earthquakes that occurred in the past 100 yr (5) is most consistent with the expected number if I use only the predicted times where f
2/3. If only
1/3 of the slip is in M9s, consistent with observed β values, then the peak is lower, from 1 to 3 M9 events per century (curves 3–5; Fig. 4).
|
From the series of tests, I suggest that the expected rate of M9 earthquakes per century may be closer to 1–3 than to the 5 that occurred in the past 100 yr. If all M9 events over the past 300 yr have been included in the Stein and Okal (2007) compilation, then the number per century is close to 3 and the distribution using f
1/3, in agreement with β
0.67, is likely.
| DISCUSSION AND CONCLUSIONS |
|---|
|
|
|---|
Due to the incomplete history of great subduction earthquakes, we cannot rule out any of these subduction zones as being capable of generating an M9 earthquake. Several are adjacent to densely populated islands, and the impacts of shaking and tsunami waves on them cannot be overstated. Java, in particular, has a predicted M9 recurrence time that is half that of the Andaman segment (Fig. 3) and is among the longest subduction segments (Table DR1; see footnote 1).
Simulations of the recurrences of M9 earthquakes based on the lengths of trenches and convergence rates suggest that the global occurrence of M9 earthquakes is 1–3 per century, and the 5 that occurred in the past 100 yr may be higher than long-term averages.
| ACKNOWLEDGMENTS |
|---|
| FOOTNOTES |
|---|
| REFERENCES CITED |
|---|
|
|
|---|
Bird, P., 2003, An updated digital model of plate boundaries: Geochemistry, Geophysics, Geosystems, v. 4 pp. 1027 doi: 10.1029/2001GC000252.[CrossRef]
Bird, P., and Kagan, Y.Y., 2004, Platetectonic analysis of shallow seismicity: Apparent boundary width, beta, corner magnitude, coupled lithosphere thickness, and coupling in seven tectonic settings: Seismological Society of America Bulletin, v. 94 pp. 2380-2399 doi: 10.1785/0120030107.
Feller, W., 1966, An introduction to probability theory and its applications (second edition): New York, Wileyp. 626 p.
Frohlich, C., 2007, Practical suggestions for assessing rates of seismic-moment release: Seismological Society of America Bulletin, v. 97 pp. 1158-1166 doi: 10.1785/0120060193.
Frohlich, C., and Wetzel, L.R., 2007, Comparison of seismic moment release rates along different types of plate boundaries: Geophysical Journal International, v. 171 pp. 909-920 doi: 10.1111/j.1365–246X.2007.03550.x.[ISI][GeoRef]
Goldfinger, C., Nelson, C.H., and Johnson, J.E., the Shipboard Scientific Party2003, Holocene earthquake records from the Cascadia subduction zone and northern San Andreas fault based on precise dating of offshore turbidites: Annual Review of Earth and Planetary Sciences, v. 31 pp. 555-577 doi: 10.1146/annurev.earth.31.100901.141246.[CrossRef][ISI]
Kagan, Y.Y., 1999, Universality of the seismic moment-frequency relation: Pure and Applied Geophysics, v. 155 pp. 537-573 doi: 10.1007/s000240050277.[CrossRef][ISI][GeoRef]
Kagan, Y.Y., 2002, Seismic moment distribution revisited: II. Moment conservation principle: Geophysical Journal International, v. 149 pp. 731-754.[CrossRef][ISI][GeoRef]
Liu-Zeng, J., Heaton, T., and DiCaprio, C., 2005, The effect of slip variability on earthquake slip-length scaling: Geophysical Journal International, v. 162 pp. 841-849 doi: 10.1111/j.1365–246X.2005.02679.x.[CrossRef][ISI][GeoRef]
McCaffrey, R., 1993, On the role of the upper plate in great subduction zone earthquakes: Journal of Geophysical Research, v. 98 pp. 11953-11966.[CrossRef]
McCaffrey, R., 1997a, Statistical significance of the seismic coupling coefficient: Seismological Society of America Bulletin, v. 87 pp. 1069-1073.
McCaffrey, R., 1997b, Influences of recurrence times and fault zone temperatures on the age-rate dependence of subduction zone seismicity: Journal of Geophysical Research, v. 102 pp. 22839-22854 doi: 10.1029/97JB01827.[CrossRef]
Pacheco, J.F., Sykes, L.R., and Scholz, C.H., 1993, Nature of seismic coupling along simple plate boundaries of the subduction type: Journal of Geophysical Research, v. 98 pp. 14133-14159.[CrossRef]
Peterson, E.T., and Seno, T., 1984, Factors affecting seismic moment release rates in subduction zones: Journal of Geophysical Research, v. 89 pp. 10233-10248.[CrossRef]
Ruff, L.J., 1989, Do trench sediments affect great earthquake occurrence in subduction zones?: Pure and Applied Geophysics, v. 129 pp. 263-282 doi: 10.1007/BF00874629.[CrossRef][ISI][GeoRef]
Ruff, L.J., and Kanamori, H., 1980, Seismicity and the subduction process: Physics of the Earth and Planetary Interiors, v. 23 pp. 240-252 doi: 10.1016/0031–9201(80)90117-X.[CrossRef][ISI][GeoRef]
Ruff, L.J., and Tichelaar, B.W., 1996, What controls the seismogenic plate interface at subduction zones?: in Bebout, G.E., et al., eds., Subduction: Top to bottom: American Geophysical Union Geophysical Monograph 96, pp. 105-111.
Rundle, J., 1989, Derivation of the complete Gutenberg-Richter magnitude-frequency relation using the principle of scale invariance: Journal of Geophysical Research, v. 94 pp. 12337-12342.[CrossRef]
Scholz, C.H., 1990, The mechanics of earthquakes and faulting: Cambridge, Cambridge University Pressp. 439 p.
Scholz, C.H., and Campos, J., 1995, On the mechanism of seismic decoupling and backarc spreading at subduction zones: Journal of Geophysical Research, v. 100 pp. 22103-22115 doi: 10.1029/95JB01869.[CrossRef]
Stein, S., and Okal, E.A., 2007, Ultralong period seismic study of the December 2004 Indian Ocean earthquake and implications for regional tectonics and the subduction process: Seismological Society of America Bulletin, v. 97 pp. S279-S295 doi: 10.1785/0120050617.
Tichelaar, B.W., and Ruff, L.J., 1993, Depth of seismic coupling along subduction zones: Journal of Geophysical Research, v. 98 pp. 2017-2037.[GeoRef]
Titov, V., Rabinovich, A.B., Mofjeld, H.O., Thomson, R.E., and Gonzalez, F.I., 2005, The global reach of the 26 December 2004 Sumatra tsunami: Science, v. 309 pp. 2045-2048 doi: 10.1126/science.1114576.
Uyeda, S., and Kanamori, H., 1979, Back-arc opening and the mode of subduction: Journal of Geophysical Research, v. 84 pp. 1049-1061.[GeoRef]
Wells, D.L., and Coppersmith, K.J., 1994, New empirical relationships among magnitude, rupture length, rupture width, rupture area and surface displacement: Seismological Society of America Bulletin, v. 84 pp. 974-1002.
Received for publication 11 September 2007
Revised manuscript received 19 November 2007
Manuscript accepted 29 November 2007
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| JOURNAL HOME | HELP | CONTACT PUBLISHER | SUBSCRIBE | ARCHIVE | SEARCH | TABLE OF CONTENTS |