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Transcript
An empirical study of the distribution of earthquakes with
respect to rock type and depth
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Citation
Tal, Yuval, and Bradford H. Hager. “An Empirical Study of the
Distribution of Earthquakes with Respect to Rock Type and
Depth: EARTHQUAKE DENSITY, ROCK TYPE, AND DEPTH.”
Geophysical Research Letters 42.18 (2015): 7406–7413.
As Published
http://dx.doi.org/10.1002/2015GL064934
Publisher
American Geophysical Union (AGU)
Version
Author's final manuscript
Accessed
Wed Jun 14 08:12:51 EDT 2017
Citable Link
http://hdl.handle.net/1721.1/106356
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Detailed Terms
http://creativecommons.org/licenses/by-nc-sa/4.0/
An empirical study of the distribution of earthquakes with respect to
rock type and depth
Yuval Tal1 and Bradford H. Hager1
1
Earth Resources Laboratory, Department of Earth, Atmospheric and Planetary
Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Abstract:
Whether fault slip occurs seismically or aseismically depends on the frictional
properties of the fault, which might be expected to depend on rock type and depth, as
well as other factors. To examine the effect of rock type and depth on the distribution of
earthquakes, we compare geologic models of the San Francisco Bay and the southern
California regions to the distribution of seismicity. We normalize the number of
earthquakes within each rock type and depth interval by the corresponding volume to
determine the earthquake density. Earthquake density is determined primarily by depth,
while whether the rock is sedimentary or basement has only a secondary, depthdependent effect on the earthquake density. At very shallow depths there is no difference
in earthquake density between sedimentary and basement rocks. The earthquake density
of basement rocks increases with depth more rapidly than that of sedimentary rocks to a
similar but shallower maximum.
This is the author manuscript accepted for publication and has undergone full peer review but has
not been through the copyediting, typesetting, pagination and proofreading process, which may
lead to differences between this version and the Version of Record. Please cite this article as doi:
10.1002/2015GL064934
1
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Introduction:
A common view is that earthquakes occur via a frictional instability [e.g. Scholz,
1998]. Rate-and state-dependent friction constitutive laws [Dieterich, 1979; Ruina, 1983]
have emerged as powerful tools for investigating the mechanics of earthquakes and
faulting [Marone, 1998]. These constitutive laws suggest that the response of frictional
resistance to a change in sliding velocity includes an instantaneous response followed by
an evolution with slip distance. This behavior is characterized by two material property
constants, a and b, respectively. The steady-state velocity dependence of the friction
coefficient is characterized by (a - b). When (a - b) ≥ 0, the material is velocity
strengthening and slip is stable; when (a - b) < 0, the material is velocity weakening, and
an earthquake can nucleate if the system is not too stiff. Laboratory experiments have
shown that the (a - b) parameter depends on normal stress [Marone and Scholz 1988;
Scholz, 1998], temperature [Scholz, 1998], slip velocity [Tsutsumi and Shimamoto,
1997; Blanpied et al., 1998] or stressing rate [Dieterich, 1994], and in the case of fault
gouge, gouge layer thickness [Marone et al., 1990] and shear strain [Marone, 1998; Mair
and Marone, 1999; Ikari et al., 2011]. However, available laboratory data do not yet
conclusively define the effect of rock type on whether stable or unstable behavior is
expected. Studies by Carpenter et al. [2009], Ikari et al. [2011], and Kohli and Zoback
[2013], and the data summarized by Paterson and Wong [2005], addressed this problem
and found that materials with low frictional strength of µ < 0.5, such as clay dominated
fault gouges, are generally velocity strengthening. Their data show that materials with
2
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coefficients of friction µ ≥ 0.5 can exhibit either velocity strengthening or velocity
weakening. The most studied rock type, granite, shows mostly velocity weakening
behavior, especially for large slip, at temperatures ≤ 350 OC. For higher temperatures,
granite is velocity strengthening.
We adopt an empirical approach to examine the dependence of seismic vs.
aseismic slip on rock type and depth. We combine three-dimensional geologic models of
the San Francisco Bay region (available at http://earthquake.usgs.gov/data/3dgeologic/,
Jachens et al. [2006]) and southern California [Süss and Shaw, 2003; Plesch et al., 2011]
with the three-dimensional distribution of seismicity in these regions [NCEDC, 2013;
Hauksson et al., 2012] in order to correlate seismic behavior and rock type and depth.
The effects of the average geothermal gradient and overburden pressure are lumped
together in the variation with depth. We do not address the effects of lateral variations of
other parameters that might affect seismic vs aseismic slip such as temperature, stress,
stressing rate, or pore fluid pressure. Lateral variations in temperature occur at spatial
scales large compared to the distances over which rock type varies so are not expected to
affect one rock type preferentially. Variations in stress, stressing rate, and pore pressure
are likely to occur at spatial scales comparable to the distances over which rock types
vary, but are not well constrained.
Data and Methods
2.1 Geologic models
3
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Figure 1 shows the coverage of the geologic models. The geologic model of the
San Francisco Bay region [Jachens et al., 2006] is composed of 25 major faults that break
the map volume into 26 fault blocks, which in turn are populated with geologic units
defined by boundary surfaces that represent their tops. Both faults and boundary surfaces
in the 3 – D geologic models are discretized using triangles. The model is based on a
century of geologic mapping, 50 years of gravity and magnetic surveying, doubledifference relocated seismicity, seismic soundings, P-wave tomography, and well logs
[Jachens et al., 2006]. The fault blocks are populated with geologic units in the following
groups: water, Plio-Quaternary deposits, Tertiary (or undifferentiated Cenozoic)
sedimentary and volcanic deposits, Mesozoic sedimentary or plutonic rocks, mafic lower
crust, and mantle rocks [Jachens et al., 2006]. We divide the rock units in the model into
seven groups: Mantle, ,lower crust, gabbro, Franciscan (KJf), granodiorite, sedimentary
rocks, and volcanic deposits. The 3 – D geologic model of southern California includes
only two rock units, sedimentary and basement rock, with bounding surfaces discretized
using triangles. These surfaces include offsets associated with major faults in the region,
including thrust faults that locally duplicate the stratigraphy. The topography/bathymetry
of this region is represented by another triangulated surface. At large depths, the
sedimentary units include also low-grade metasedimentary rocks. The distinction
between these rocks and crystalline basement rocks is based mostly on different acoustic
properties and involves larger uncertainty where the sedimentary rocks experienced
larger compaction [J. H. Shaw, personal communication, 2013].
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2.2 Seismicity
The seismic catalog of the San Francisco Bay region we use includes 24,531
earthquakes with magnitude M ≥ 2, from 01/01/1975 to 31/05/2013 [NCEDC, 2013]. The
hypocenters in this catalog were obtained using Hypoinverse2000 [Klein, 2002], which
allows some complexity by using multiple 1 – D velocity models. In each model, velocity
varies only with depth. 9099 earthquakes are located in the Geysers geothermal field.
These earthquakes are associated with water injection and steam extraction at the Geysers
[Majer and McEvilly, 1979; Eberhart-Phillips and Oppenheimer, 1984; Smith et al.,
2000; Majer et al., 2007]. The scope of this research is to examine tectonic of seismicity,
rather than the induced seismicity at the Geysers. Therefore, all of the earthquakes with
hypocenters that are both located inside the boundaries of the Geysers geothermal field,
which covers an area of 78 km2, and are shallower than 5 km, are excluded in this study.
The average absolute vertical and horizontal errors of the hypocenter locations of the
remaining 15,432 earthquakes are 0.78 km and 0.32 km, respectively. The seismic
catalog of southern California that we use [Hauksson et al., 2012] includes 86,826
earthquakes with M ≥ 2 from 1981 to 2011. In this catalog, the average absolute vertical
and horizontal errors of the hypocenter locations are 1.18 km and 0.64 km, respectively.
Almost all hypocenters in this catalog were obtained with a 3 – D velocity model [Lin et
al,. 2007; Hauksson et al., 2012]. Examination of earthquake depth distribution
histograms of the two seismic catalogs (Figure S1) does not show hypocenter depths
preferentially at any velocity model boundaries, except for a relatively large number of
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earthquakes at very shallow depths in the San Francisco Bay region. However, those
shallower earthquakes have relatively large depth errors, which are incorporated in the
analysis, as described in the following section.
2.3. Correlation between earthquakes and rock units
The model of the San Francisco Bay region divides the volume into fault blocks
that are further subdivided by boundary surfaces into geologic units. Therefore, for each
hypocenter it was necessary to determine the fault block first, then the rock unit. The
fault blocks were determined with a ray-casting point-in polyhedron test, which is a
simple extension of a well-known point-in-polygon ray-casting algorithm. In this test, a
ray is cast vertically from the hypocenter to the surface. Next, the number of intersections
between the ray and a fault block is determined. If this is an odd number, the hypocenter
lies inside this fault block, otherwise it is outside. In order to count the number of
intersections, the intersection between the ray and the triangulated surface of the fault
block was tested with the algorithm of Möller and Trumbore [1997]. In order to make this
procedure faster, data were preprocessed to ensure that the minimal number of triangles is
tested with the algorithm above. The determination of the rock units in which the
hypocenters are located was also attempted with the ray-casting point-in polyhedron test.
However, because there are unconformities in the geologic model, in some cases the rock
unit could not be identified with this test. In these cases, the rock units were identified
with specific logical conditions for each fault block. In the case of southern California,
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the determination whether the hypocenters are located above or below the top of the
basement rocks was also done with the algorithm of Möller and Trumbore [1997].
The depth errors of the hypocenters were included in the correlation process in
both regions. In both catalogs the vertical error given is one standard deviation. In the
San Francisco Bay region, each hypocenter was represented by five points with equal
probability in a normal distribution, i.e. located at cumulative normal distribution values
of 0.1, 0.3, 0.5, 0.7, and 0.9. In southern California, because there are two continuous
surfaces, the top of the basement rocks and the topography/bathymetry, the vertical errors
were inserted analytically, using a continuous normal distribution. In both regions, some
of the error bounds extend above the topography/bathymetry surface. In these cases, the
weighted points/areas that are below this surface were normalized to one.
3. Results
3.1 Number of earthquakes
Figure 2 shows the depth distribution of earthquakes in sedimentary and basement
rock in southern California and the San Francisco Bay region. In the latter, all rock units
that are non sedimentary are considered as basement rocks. The bars show the data, while
the curves are a running average of the data over a window of 3 km. The curves for
earthquakes with M ≥ 3 were magnified by a factor of 10 to plot on the same scale. The
errors are quantified with 5000 bootstrap resamplings [Efron and Tibshirani, 1993]. In
both regions, the number of earthquakes in basement rocks increases with depth to a
maximum value at depths of 5 – 7 km, and then decays with depth, with a broader peak in
7
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southern California. In both regions, the number of earthquakes in sedimentary rocks at
depths shallower than 1 km is about equal to that in basement rocks, but it remains
approximately constant with increasing depth in the sedimentary rocks, thus the number
of earthquakes in sedimentary rocks is significantly lower than in basement rocks. In the
San Francisco Bay region, the ratio between the number of earthquakes in sedimentary
rocks and basement rocks is lower than 0.1 at depths of 2 - 7 km and then increases
slightly. In southern California, this ratio is lower than 0.1 at all depths greater than 3 km.
Similar trends are also obtained for earthquakes restricted to M ≥ 3.
3.2 Earthquake density
To address whether the difference in the number of earthquakes at depth depends
on material properties or can be accounted for simply by the relative volumes of the
respective rock types, we examine the density of earthquakes. We define the earthquake
density, ρEq, as the average number of earthquakes per year in a given rock unit at a given
depth, normalized by the volume of this rock unit. In order to calculate the distribution of
rocks in the San Francisco Bay region, the geologic model was discretized into cells of 1
km3, and the depth and rock unit were determined for each cell. In the case of southern
California, the area of the geologic model was discretized into squares of 0.25 km2, and
the volume of the sedimentary and basement rocks under each square was calculated. The
2 – D seismic distributions (see Figure 1) show that there are regions with no seismicity
that we believe should not be included in the analysis. Therefore, only earthquakes that
have a neighbor earthquake at a horizontal distance less than 8 km were included and
8
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only grid cells that are at a horizontal distance less than 5 km from the nearest earthquake
were included.
Figure 3 shows the depth distribution of earthquake density in sedimentary and
basement rocks in southern California and the San Francisco Bay region. The bars show
the data, while the curves are running averages of the data over a depth window of 3 km.
Again, the curves for earthquakes with M ≥ 3 were magnified by a factor of 10 and the
errors are quantified with 5000 bootstrap resamplings. In both regions, the average
earthquake density of sedimentary rocks is somewhat smaller than that of basement
rocks. In southern California, the ratio between the average earthquake density in
sedimentary rocks and basement rocks at depths shallower than 15 km is 0.79 for
earthquakes with M ≥ 2 and 0.85 for earthquakes with M ≥ 3. In the San Francisco Bay
region, those ratios are 0.66 and 0.69. The depth of 15 km was chosen because there are
no sedimentary rocks at greater depths in Southern California.
In both regions, and for both rock types, earthquake densities for earthquakes with
M ≥ 2 and depth shallower than 2 km are about 0.25 x 10-3 /(km3∙year). Earthquake
density increases with depth by up to about a factor of 10, then decreases. For basement
rocks, the maximum earthquake density peaks at a shallower depth (5 – 7 km) than for
sedimentary rocks (7 – 9 km in Southern California and 9 – 11 km in the San Francisco
Bay region). In southern California, the maximum value of earthquake density for
sedimentary rocks is slightly larger than that for basement rocks, while in the San
Francisco Bay region it is slightly lower. Similar trends are obtained also for earthquakes
9
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restricted to M ≥ 3, with larger differences between the maximum values of earthquake
density.
3.3 Gutenberg–Richter relation
Motivated by the difference of earthquake density between earthquakes with M ≥
2 and M ≥ 3 (see Figure 3), we examine the Gutenberg–Richter relation [Gutenberg and
Richter, 1944] with respect to rock type and depth. The Gutenberg–Richter relation states
that the number of earthquakes, N(M), which have a magnitude greater than or equal to M
is given by the relation 𝑙𝑜𝑔𝑁(𝑀) = 𝑎 − 𝑏𝑀, where a and b are constants. In the San
Francisco Bay region, the difference observed in Figure 3 between earthquakes with M ≥
2 and M ≥ 3 (scale by factor of 10) results from the catalog is not being complete to
magnitude 2 (Figure S2). In southern California, the catalog is complete to magnitude
2 (Figure S2), and the b-value clearly depends on both rock type and depth. While
sedimentary rocks have b-values smaller than 1 at depths shallower than 10 km, the
basement rocks have b-values equal or larger than 1 at depths of 2 – 11 km (Figure 3).
We verify the observed trends in southern California with a more detailed analysis based
on the maximum likelihood estimate of Aki [1965] and Utsu [1965] and the formula of
Shi and Bolt [1982] for standard errors (text S2 and Figure S3). This analysis also shows
that for basement rocks in southern California, the b-value increases with depth to a
maximum value of b = 1.05 ± 0.01, then decreases gradually to b = 0.9 ± 0.01 at a depth
of 15 km. In the San Francisco Bay region, the b-value of basement rocks decreases with
depth, with b-value larger than 1 at depths shallower than 8 km. For sedimentary rocks,
10
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the errors are quite large, but the b-value is equal or larger than 1 at depths shallower than
12 km (Figure S3).
3.4 Detailed distribution of earthquakes with respect to rock unit
The three dimensional geologic model of the San Francisco Bay region enables a
more detailed distribution of earthquakes with respect to rock unit and depth to be
determined (Figure 4). Because there are no mantle rocks and a small volume of lower
crust rocks at depths where most of the earthquakes occur, and volcanic rocks occupy a
very small volume in this region, only sedimentary, granodioritic, Franciscan, and
gabbroic rocks are shown. At depths of 0 – 8 km, the earthquake density in granodioritic
rocks is approximately half of the earthquake density in sedimentary rocks, 1/4 of the
earthquake density in Franciscan rocks, and 1/25 of the earthquake density in gabbroic
rocks. At depths of 8 – 12 km, sedimentary rocks tend to experience more earthquakes
than the other rock units. At depths of 12 – 14 km, granodioritic rocks tend to experience
most of earthquakes, but the total number of earthquakes is very small. Similar trends are
obtained also for earthquakes restricted to M ≥ 3 (Figure S5).
4. Discussion
The existence of 3 – D geologic models enables the definition of a new quantity,
earthquake density, which describes the tendency of different rock units at different
depths to experience earthquakes, based on field data. The extent of the geologic models
and the voluminous seismic data, which includes 102,258 earthquakes outside the
Geysers with M ≥ 2, should provide sufficient statistics to overcome local errors in the
11
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geologic models and the hypocenter locations. Moreover, the vertical errors of the
hypocenters, which are approximately two times larger than the horizontal errors, are
included in the analysis.
The difference in earthquake density between basement and sedimentary rocks is
smaller in southern California, where 85 % of the earthquakes in this study occurred. It is
important to note that although basement rocks in both regions may include different rock
units, the earthquake density of basement rocks is similar in both regions, while that of
sedimentary rocks is smaller in the San Francisco Bay region. In the latter, we defined all
non-sedimentary rocks as basement rocks, including Franciscan rocks, due to their
association with the large shear deformation of the subduction zone and because they
partly include high-grade metamorphic rocks. Examination of the depth distribution of
earthquake density in sedimentary and basement rocks without including the Franciscan
rocks (Figure S6) shows similar trends to these obtained including the Franciscan rocks.
In the case of the San Francisco Bay region, a more detailed analysis with regard
to rock type is performed, and a significant dependence of earthquake density on rock
type is observed, especially at depths of 2 – 8 km. The difference between rock type, and
especially the large earthquake density of gabbro, might be attributed to the different
proximity of rock units to the main active faults in this region. However, we try to
account for this effect by our filtering process, in which we eliminate isolated
earthquakes and rock volumes that are not in proximity to earthquakes. This part of the
research should be treated with more caution because it includes only 15,432 earthquakes
12
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and only the San Francisco Bay region model, while the research on sedimentary versus
basement rocks includes 102,258 earthquakes and a second geologic model, which covers
a significantly larger area.
An implicit assumption in this study is that to some extent the fault rocks inside
the fault zone represent the wall rock types, thus we attribute also earthquakes that
occurred within fault zones to their wall rock types. This assumption might be
questionable for earthquakes that occurred within faults that have accumulated large
displacements. We cannot quantify directly how much the gouge in those fault zones
represent the current wall rock, but we examine the robustness of our results by
calculating earthquake density also with the removal of earthquakes and rock volumes
that are at distance of less than 0.5 km from seven strike slip faults in the San Francisco
Bay region and six strike slip faults in southern California with offset larger than 10 km
(Text S1). The 3 – D geometries of those faults were obtained from the three-dimensional
geologic
model
of
the
San
Francisco
Bay
region
(available
at
http://earthquake.usgs.gov/data/3dgeologic/, Jachens et al. [2006]) and from the SCEC
Community Fault Model (CFM, available at http://structure.harvard.edu/cfm, Plesch and
Shaw [2003] and Plesch et al. [2007]).
In southern California, only 7.5 % of the earthquakes (6470) are associated with
large offset strike slip faults. Therefore, the removal of those earthquakes has a minor
effect on earthquake density (Figure S7). In the San Francisco Bay region, 42 % of the
earthquakes (6205) are associated with large offset strike slip faults. If these are omitted,
13
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the earthquake density values of both basement and sedimentary rocks decrease
significantly (Figure S7), but the trends are similar to these described in section 3.2.
When the more detailed distribution with respect to rock type is analyzed (Figure S8), the
most striking effect is the decrease of earthquake density of gabbroic rocks. At depths of
2 – 6 km, it is still the largest, but with significantly smaller differences from other rock
types, and at depths of 6 – 8 km, it is smaller than that of Franciscan rocks and similar to
that of sedimentary rocks.
The depth distribution of b-value for basement rocks in the San Francisco Bay
region agrees with Mori and Abercrombie’s [1997] observation that the b-value decreases
with depth. However, similar to Spada et al. [2013], in southern California we observed
this trend only for basement rocks at depths larger than 5 – 6 km.
Due to the limitation of the geologic models that cover such an extensive area,
this research focuses on how seismogenic sedimentary rocks behave as a whole, with no
distinction between different sedimentary rock types. Further studies, using a detailed
geologic model, would be necessary to examine the seismogenic behavior of different
types of sedimentary rocks.
5. Conclusions
Depth is the primary parameter that determines earthquake density, with more
than one order of magnitude variation in earthquake density with depth, while whether a
rock unit is sedimentary or basement has a secondary effect on the earthquake density.
This secondary effect is depth dependent. At very shallow depths there is no resolvable
14
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difference between sedimentary and basement rocks; the earthquake density of basement
rocks increases more rapidly with depth to a shallower peak. On average, the earthquake
density of sedimentary rocks is 0.77 times that of basement rocks.
Based on the San Francisco Bay region data, we conclude that gabbro has
significantly higher tendency to experience earthquakes than other rock types at depths of
0 – 8 km, in which most of the earthquakes occur in this region, and that granodioritic
rocks tend to experience fewer earthquakes than sedimentary and Franciscan rocks.
The b-value depends on both rock type and depth. The southern California data,
which include 85 % of the earthquakes in this study, shows that in most of the
seismogenic depth range, basement rocks have larger b-values than sedimentary rocks.
Acknowledgments
We thank Fred Klein and David Oppenheimer for clarifications about the
hypocenter depths in the NCEDC catalog. William Rodi provided fruitful discussions
about how to insert the hypocenter locations error into the analysis. We thank John Shaw
and Andreas Plesch for providing the top basement and topography/bathymetry surfaces
for southern California. The data on the faults in southern California was obtained from
the SCEC Community Fault Model (http://structure.harvard.edu/cfm). The threedimensional geologic model of the San Francisco Bay region was obtained from the
USGS (http://earthquake.usgs.gov/data/3dgeologic/). The seismic catalog of the San
Francisco Bay region was obtained from the Northern California Earthquake Data Center
(http://www.ncedc.org). The seismic catalog of southern California was obtained from
15
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the
alternate
catalogs
of
the
Southern
California
Earthquake
Data
Center
(http://scedc.caltech.edu/research- tools/altcatalogs.html). We thank Ake Fagereng, Chris
Marone, and an anonymous reviewer for their thorough reviews and constructive
comments. This research was supported by DOE grant DE-FE0009738.
16
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Figures
Figure 1. The areas investigated, with near-surface map views of the 3-D geologic
models of San Francisco Bay and southern California regions, along with maps of the
epicenters included in the study.
Figure 2. A histogram of earthquake number vs. depth in sedimentary and basement
rocks in the southern California region and the San Francisco Bay region for earthquakes
with M ≥ 2 and 3. The curves are running averages of the data with a window of 3 km.
The curves (dashed) for earthquakes with M ≥ 3 were magnified by a factor of 10, so that
they would plot on approximately the same scale. The error bars were derived from 5000
bootstraps and represent one standard error.
Figure 3. A histogram of earthquake density vs. depth in sedimentary and basement rocks
in the southern California region and the San Francisco Bay region for earthquakes with
M ≥ 2 and 3. The curves are running averages of the data with a window of 3 km. The
curves (dashed) for earthquakes with M ≥ 3 were magnified by a factor of 10, so that they
would plot on approximately the same scale. The error bars were derived from 5000
bootstraps and represent one standard error.
22
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Figure 4. Earthquake density as a function of rock unit and depth in the San Francisco
Bay region. The four main rock units at depths of 0-14 km are included. The error bars
were derived from 5000 bootstraps and represent one standard error.
23
This article is protected by copyright. All rights reserved.
−124˚
−122˚
−120˚
−118˚
−116˚
−114˚
−112˚
Granodiorite!
42˚
Sedimentary!
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32˚
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