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LOCAL SITE EFFECT OF HASHEFELA AND HASHARON REGIONS
BASED ON AMBIENT VIBRATION MEASUREMENTS
PROGRESS REPORT
July,
2003
GII Report No 569/313/03 Dr. Yuli Zaslavsky,
Dr. Avi Shapira, Marina Gorstein, Michael Kalmanovich, Vadim Giller, Ion Livshits,
Alexander Shvartsburg,Galina Ataev,Tatyana Aksienko, Dagmara Giller,
Ilana Dan and Nahum Perelman
Prepared for
The Steering Committee for
National Earthquake Preparedness and Mitigation
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| ABSTRACT |
Resent destructive earthquakes have clearly shown that near-surface geological
conditions play a mayor role in the level of ground shaking. Mapping predominant
frequency of soil resonance and amplification permits identification of zones at risk
in seismically-prone areas. The motivation and objectives of this study were to
divide the Hashefela area into geographical zones, each one characterized by a
fundamental frequency and amplification factor. In final version of this report we
will adjust the overall soil-column model, which facilitates forecasting ground
motion from future earthquakes, for each zone.
Owing to the relatively low seismicity of the region, we concentrated our
efforts on estimating site response by implementing the horizontal-to-vertical
spectral ratio (H/V) of ambient vibration. Ambient vibration surveys were carried
out at more than 300 sites; 160 of which were located either at, or very close to
wells. The selection of an appropriate ensemble of windows of ambient noise for H/V
spectral ratios facilitates successful removal of time variant source effects. We
obtained a good correlation between the empirical and analytical evaluations of the
fundamental frequency as well as for the amplifications level for shallow and deep
soils with a multi layer distribution. In the studied areas the ground motion
amplification is a factor 2-8 over the frequency range of 0.3 to 6 Hz. The
amplification obtained by H/V ratios may be explained not only by peak in the spectra
of the horizontal components but also by a trough in the spectra of the vertical
components. We present maps that reflect the fundamental characteristics of site
effects in the study area: dominant frequency and maximum relative amplifications.
The extensive database of ambient vibration measurements carried out at drilling
sites facilitated estimation of deep shear-wave velocity profiles by trial-and-error
fitting of the calculated to the empirical transfer function.
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| INTRODUCTION |
Many methods have been used to characterize site amplification. The best
approach is through direct observation of seismic ground motion, although
such observations are limited to high seismicity areas and, also, by theirhigh cost.
An alternative method, recording only one station, consists of dividing the spectrum
of the horizontal component by that of the vertical component of ambient vibrations
(Nakamura, 1989, 2000).
During the last decade, many sites in Israel have been investigated in an
attempt to estimate the possible amplification of the seismic ground motion
[Zaslavsky et al., 1995; Gitterman et al., 1996; Zaslavsky and Shapira,2000;
Zaslavsky et al., 2000; Shapira et al., 2001; Zaslavsky et al., 2002b,d,e and
Zaslavsky et al., 2003]. All these studies are based on analysing ambient vibration
and weak motion measurements incorporated with geological and geophysical information
on the subsurface. We used various empirical methods to determine the site response
functions including reference and non-reference techniques and referring to different
sources of excitation - earthquakes, explosions and ambient vibration. Appropriate
ensembles of carefully selected windows of ambient vibration provide estimations of
site response that are similar to those obtained from H/V spectral ratio of seismic
events. However, there were cases where the Nakamura technique failed to yield
conclusive results. This often happens when the ratio of the shear-wave velocity of
the soil to the shear wave velocity of the underlying half space (bedrock) is higher
than 0.5-0.6 (amplification up to a factor of ~2) or when we are dealing with a
complicated 3D structure of the underlying geology. Other examples are associated
with poor excitation of the soil column due to weakness or remoteness of the
microtremor sources. Thus, in many cases this poor behaviour of the Nakamura method
could be foreseen and other methods should have been used. In other cases, where
situation is better suited to the feasibility of the method, the results showed great
similarity to the results obtained by other techniques and, thus, provide useful
feedback to improve the reliability of the experimental results. In rare cases, the
Nakamura technique even provided estimations of higher harmonics of the resonating
soil column. It is interesting to note that large differences in the site response to
seismic motion were observed over very short distances (several tens of meters).
Site effects were also observed on rocky sites such as in the case where weathered
and cracked granite bedrock showed amplifications by factor 4 in the frequency range
of 6 to 7 Hz, well within the range of engineering interest for low-rise building
[Zaslavsky et al., 2002a].
In order to tackle the task of mapping site effects using ambient noise
measurements with a variable grid density in different areas across Israel, a team of
new immigrant scientists with expertise in many different (seismology, geology,
geophysics, data processing) was formed in the year 2000. So far the ambient noise
survey has been carried out at more than 800 sites in the towns of Lod-Ramla (360
sites), Qiryat Shmona (290 sites) and, at Coastal Plain along a ~10 km wide strip
between Ashqelon and Haifa (190 sites). The results of the investigations have already
been published (see Zaslavsky et al., 2001; Zaslavsky et al., 2002c). As a
continuation of the Coastal Plain mapping project, site effects were measured in the
Hashefela and Hasharon areas (further named as Hashefela), which owing to its high
population density, may be considered as a high seismic risk zone.
The motivation and objectives of this study were to divide the Hashefela area
into several geographical zones, each one characterized by fundamental frequency and
amplification factor. In the final version of the report we shall adjust the overall
soil-column model, which facilitates forecasting ground motion from future
earthquakes, for each zone. The computation of the theoretical seismic response of
the Hashefela area is essential for the estimation of specific seismic hazard and
provides essential information for realistic earthquake damage scenarios.
The applied methodologies take on added importance in regions with low seismicity but
with high seismic risk, as the case of the Hashefela region.
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GEOLOGICAL BACKGROUND |
The investigated area, the Hashefela region, extends from Qirayt-Gat
in the south to Binaymina in the north for about 120 km and is almost 15-40
km wide (see Fig.1). The geological data of the region were collected from
Gvirtzman (1969, 1970, 1984), Fleischer et al. (1993), Fleisher and Gafson
(2000), and the geological map of Israel to a scale of 1:200,000
(Sneh et al., 1998).
During the initial phase of compilation and determination of
geothechnical data we gathered the information from 650 structural, water
and oil wells from the database of the Geophysical Institute of Israel. The
160 wells were chosen for ambient noise measurements during the work
planning stage.
QUATERNARY ROCKS
The Quaternary sediments outcropping in the Hashefela area are
represented by alluvium, sand dunes of the Kurkar Group (see Table 1).
The Kurkar Group of Pleistocene age consists of alternating
marine and eolian calcareous sandstones named "kurkar", some reddish
silty-clayey "hamra", silts, clays, loose sands, loam and conglomerates.
Occasionally the Kurkar Group unconformably overlies the Judea,
Mt. Scopus, Avedat and Saqiye Group rocks. Two different representative
provinces the west and east can be recognized in the Kurkar Group. The
thickness of the Kurkar Group decreases from about 200m near the
shoreline to 0m in the eastern part of the Hashefela area.
TERTIARY ROCKS
The Saqiye Group overlies unconformably the Avedat and
Mt.Scopus groups and consists of deep marine chalky marls of the Bet
Guvrin Fm. and limestone of the Lakhish Fm. of Oligocene age, marls
of the Ziqim and evaporates of the Mavqi’im formations of Middle- Late
Miocene age, and some volcanics such basalt flows of the National Park
Volcanics (310-m thick at Site177 close to the Rishon Le Zion-1 well).
The sedimentary rocks of Pliocene age are represented by
homogenous clay and marly clay of the transgressional Yafo formation.
The sedimentation of the Yafo Fm. was dominated by a westward tilting
of about two degree, which produced an increase in thickness from a few
meters in the central Hashefela area to more than 2,000 m in the
offshore region. The Yafo Fm. is overlaid diachronously by the Kurkar
Group.
The Avedat Group of Eocene age consists of massive soft
silicified chalks and marl 50-300m thick related to the Adulam Fm.,
whereas its upper section is composed of massive soft chalks of the
Maresha Fm. In the Coastal Plain area, the Avedat group occasionally
overlies the Albian Talme Yafe Fm., the Judea Group and Senonian
Mt. Scopus rocks. It is unconformably overlain by the Saqiye and/or the
Kurkar Gr. In the Hashefela region, the Eocene sediments were deposited
in a buried synclinorium situated between the Judea and Samaria heights
and the Helez structure and they outcrops in the southestern part of the
Hashefela area.
Mount Scopus Group is representing by a marl-chalky facies
of the ‘En Zetim Fm., the silicified chalky limestone of the Ghareb Fm.
and the limonitic shale of the Taqiye Fm. The upper boundary of the
Mt. Scopus Gr. is overlain by flinty limestone of the Avedat Gr. The
thickness of the Mt. Scopus Gr. varies from 0 to 250m. It outcrops in
the northeastern part of the Hashefela area
(upper reaches of the Hadera river) and in the Modi’in area.
CRETACEOUS ROCKS
The Judea Group sequence has been divided into three parts consisting
of massive dolomites and limestones of the Albian-Cenoman, Yagur Fm.;
dolomites with interbedded marls of the Cenomanian Negba Fm., and
limestone, dolomites and marls of the Turonian (Bina and Dalya) Fm.
The Judea Group, represented generally by the Bina Fm.,
consists of hard white to gray limestone and dolomite; containing
rudist and coral fragments with a thickness varying from 100 to 160 m.
The Bina formation. outcrops along the foothills. The upper contact of
the Bina Fm. is unconformably overlain almost everywhere by the
'En Zetim Fm.
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| Figure 1.Geological map and location of the observation points |
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OBSERVATION AND ANALYSIS |
During the period July 2002 to April 2003 about 300 microtremor
measurements were carried out in the Hashefela region (W-155000;
E – 205000; S –1600000; N – 1715000). The work area is approximately
2300 km2. Measurement sites were distributed along the lines, which are,
in fact, extensions of those on the Coastal Plain from coastline to
foothills. Measurement points were planned in close co-operation with
Dr. Zohar Gvirtzman (the Geological Survey of Israel). The distribution
of measurement points is shown in Figure1). In order to obtain more reliable
microtremor data the main part of the measurement sites comprised two
observation points separated by tens of meters.
Ground motions were recorded using the multi-channel, PC-based, digital
seismic data acquisition system GII-SDA (see Shapira and Avirav, 1995)
designed for site response field investigations. The seismometers used are
sensitive velocity transducers with a natural frequency of 1.0 Hz. Digital
recordings use 0.2-25 Hz band-pass filter and a sampling rate of 100 samples
per second. Prior to and during the measurements we checked and determined the
transfer function of the round motion data, i.e., particle velocity. One
vertical and two horizontal seismometers (oriented north-south and east-west)
are installed at each site. All seismometers are wired directly to the
recording site. The horizontal-to-vertical spectral ratio [AH/V(f)] is
obtained by dividing the individual spectrum of each of the horizontal
components [SNS(f) and SEW(f)] by the spectrum of the vertical component
[(SV(f)]. To obtain systematic and reliable results from the spectra of
microtremors, we used many time windows that yielded many spectral rations
that, in turn, were averaged. The average of the two horizontal-to-vertical
ratios is defined as the site amplification function:
A(f)=1/2n[ (i=1..n)(SNS(f)i/SV(f)i)+ (i=1..n)(SEW(f)i/SV(f)i)]
The critical assumption in all experimental site response estimations is
that the "reference" motion represents the true input to the soil site.
Even when the surface-rock sites are used as the input (reference site) to
the basin, in the case of earthquake excitation, amplification factor may be
underestimated at the basin site by a factor of 2 to 4 depending on frequency
and site (Steidl at al., 1996; Zaslavsky et al., 2002a). In Nakamura's method
the "reference" site is the vertical motion of the ambient vibration and
therefore we cannot separate ambient noise from the "true" input of their
wavefield. Moreover, in our opinion, excitation of resonance vibration from
ambient noise in multi-layers medium is stochastic process. Therefore, it is
very important to select the appropriate ensemble of windows of the ambient
vibration in the spectral estimation procedure. The estimates of the spectral
ratio for Points 240 and 236 obtained from pilot analysis and refined analysis
are plotted in Figure2. We should point out again here that the transfer
function may be obtained from the spectral ratio of input and output of linear
system, but not every spectral ratio is really a transfer function.
Figure 2. Pilot and refined spectral ratios for two sites
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SITE EFFECT ESTIMATION |
A number of measurements were made either at or close to boreholes,
where the thickness of layers and geotechnical description of the local
sediments are available. Clearly, the main geological structure is reflected
in the measurements results. In this section we give some examples.
In Figure3 we present average spectra for three components (two
horizontal and vertical) and individual and average H/V spectral ratios from
ambient vibration recorded at Points 324-3 and 331. Lithological sections at
both sites are represented basically by alternating high-velocity chalk, marl
and limestone. Depth to the basement is 600 m and 450 m, correspondingly. An
increase in the spectral levels of the horizontal components is clear at a
frequency of about 0.45 Hz for Point 324-3 (Fig.3a) and close to 0.55 Hz for
Point 331 (Fig.3b), while the spectra of vertical components are flat. Hence,
the H/V spectral ratios curves show amplification with a factor 2.0 at
frequencies of about 0.45 Hz (Point 324-3) and 0.55 Hz (Point 331).
A comparison of average horizontal (NS and EW) and vertical components
spectra from ambient vibration recorded at Points 270 and 281 and its H/V
spectral ratios are shown in Figure 4. At these points, as in the previous
example, a rock basement is overlain by chalk, marl and limestone. However,
the thickness of the sedimentary layers is 200 m and 130 m. The general
character of these spectra is that the spectral levels for vertical components
exceed the levels for the horizontal components within the frequency range 0.2
to 10 Hz. It is worth pointing out that there is a narrow-bandwidth trough at
a frequency close to 1.9 Hz at 1.2 Hz at Points 281 and Point 270, respectively
in the spectral levels of the vertical components. Spectra ratios, therefore,
show a prominent peak at about 1.9 Hz with amplification up to 3 for Point 281
(Fig.4a) and near 1.2 Hz with amplification about 2 for Point 270 (Fig.4b).
Figure 3. Examples of average Fourier spectra and H/V spectral
ratios obtained for two sites with the weak impedance contrast
of thick (up to 600m) sediments
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Figure 4. Examples of average Fourier spectra and H/V spectral
ratios obtained for two sites with the weak impedance contrast
and intermediate thickness (from 120m to 220m) of sediments
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The H/V ratios at Points 178-3 and 234 are shown in Figure5. For two
points we can see a similarity among the individual functions not only in
terms of the peak position and intensity, but also in the whole shape. The
dominant feature of all spectral ratios at Point 178-3 is a well defined peak
at about 1.7 Hz with amplification factor up to 4. As shown, the average
spectral ratio at Point 234 has a predominant peak near 1 Hz with amplification
up to 6. In these sites the soft sediments and chalk over dolomite show a strong
contrast and cause main peak.
Figure 5. Influence of soft sediments and chalk with different
thickness over dolomite on site response function:
Site 178-3 – soft sediments - 40m, chalk 40m; Site 234 – soft sediments - 65m,
chalk 70m.
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Examples of the average Fourier spectra and individual and average H/V
spectral ratios at Points 211-A and 231 are plotted in Figure 6. According
to the borehole data these points of measurements are located on sand and loam
with a thickness of 35–40m overlaying the carbonates of the Judea Gr. The
impedance contrast is very strong and the spectral ratios at these sites present
significant peaks in the frequencies 2.0 Hz and 2.5 Hz with amplification above 6.0.
Figure 6. Examples of average Fourier spectra and H/V spectral
ratios obtained for two sites with thin soft sediments (30- 40m)
and the strong impedance contrast
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In Figure7 we plot spectral ratios at points 329 and 359. These points are
situated on kurkar and clay with a depth to basement of 470m and 630m,
respectively. We can see that different combinations of sediments produce a
predominant peak near 0.3 Hz with amplification factor up to 3. Figure8a
displays a simplified sketch of the geological section along line “A-A”,
showing the locations of the points where ambient vibration measurements were
carried out (see Fig.1 for location of this line on the geological map).
Figure8b reveals amplification factor of site response functions
(fundamental mode) for these sites. From examination of this figure we can see,
that spectral amplification varies from one station to another in both maximum
amplification and the position of the predominant peaks. Further the west,
resonance frequency decreases from 5 Hz to 0.35 Hz, corresponding to the
increasing thickness of the sedimentary cover.
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Figure 7. Examples of average Fourier spectra and H/V
spectral ratios obtained for two sites with kurkar and clay and
different depth to basement: a- 470m, b-630m.
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Figure 8. (a) Simplified
geological section in E-W direction (line “A-A” in Fig. 1) and (b) average
H/V ratios obtained for 6 points.
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DISTRIBUTION OF THE FUNDAMENTAL FREQUENCY AND AMPLIFICATION |
A data set of the ambient vibration measurements was used to construct
the distribution maps of the fundamental frequency and maximum relative
amplification in the Hashefela region. During our campaign of systematic
ambient vibration measurements in the Hashefela, we took the opportunity to
supplement with new data and revise available results from the Coastal Plain.
Frequency and amplification maps, shown in Figs.9, 10 integrate all experimental
data obtained in both the Hashefela and Coastal Plain areas.
The Hashefela region shows a large variation in the fundamental frequency
(from 0.3 up to 7 Hz) and amplification (from factor 2 up to 7). Comparison of
the results with the geological structure confirms the general trend of the
correlation between the dominant frequency and the depth of the reflector
represented by carbonates of the Judea Group in the central and eastern part
of the Hashefela region. Low frequency band responses (0.3-0.6 Hz) occur in the
central part gradually increasing up to 7-8 Hz near the eastern edge of the area,
in the foothills. In the south and southeast of Hashefela region, where chalks
and marls of Eocene age outcrop, we observe frequencies in the same band of
0.3-0.6 Hz. In the west, in the Coastal Plain strip, calcareous sandstone of
the Kurkar Gr. dominate site response, substituting at depths of 600-700 m for
the carbonates of the Judea Gr. Significant steps in the frequency domain
(from 0.2-0.3 Hz to 1-2 Hz) caused by reflector substitution, are observed
along the Coastal Plain. Toward the coastline the frequency, correlating with
the thickness of the sedimentary deposits above the calcareous sandstone of the
Kurkar Gr., increases up to 4 Hz everywhere, except in the small area located
on the upstanding block near the northeastern boundary of the investigated
region. This small area is an object of interest because the reflector changes
twice within a distance of 4-5 km. According to our measurements, a reflector
represented by carbonates of the Judea Gr. is substituted by calcareous
sandstone of the Kurkar Gr. Then, the top of the Judea Gr. rising up to depths
of 700m and higher was again interpreted as a reflector.
The map of the maximum relative amplification shown in Fig.10 reflects
the impedance contrast between the bedrock and the overlying sediments.
Amplification of factor 2-3 prevails in both the Hashefela and Coastal Plain
areas, but for different reasons. In the Coastal Plain (see Zaslavsky, 2002c)
amplification factor 2-3 matches loose deposits lying on calcareous sandstone
of the Kurkar group, while in the Hashefela, the velocity contrast is defined
by chalk and marl of Campanian and Eocene ages overlying dolomites of the
Judea Gr. Moderate amplification values from factor 3 to 4 we observe in
limited areas at Coastal Plain (Tel-Aviv, Ashdod - up to factor 6) where
the bedrock is represented by hard calcareous sandstone, as well as in the
central part of the Hashefela region where the impedance contrast is created
by combination of the rocks of the Kurkar Gr., clay of Saqie Gr., and marl
and chalk of the Avedat and Mt. Scopus Groups. Quaternary sediments, directly
overlaying carbonates of the Judea Gr., cause the higher amplification values
(from 5 up to 7) we observe in the eastern part of the study area, within the
belt between the towns of Ramla and Kefar Sava, near the Shomron hills.
The main outcome of analysis of the 500 ambient vibration measurements
(Coastal Plain area included) was to produce a map of zones, each characterized
by a fundamental frequency and amplification factor. Generalized lithological
structure and ranges of layer thickness for each selected zone, efficiently
recognized in the ambient vibration measurements, are stated in Table 2.
In the future we plan to adjust the overall model for each zone and to
use this for the purpose of earthquake hazard assessment in the Hashefela region.
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Figure 9. Distribution of the
fundamental frequency in the Coastal Plain and Hashefela areas
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Figure 10. Distribution of maximum amplification
level in the Coastal Plain and Hashefela areas
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Figure 11. Map of zones division
in the Coastal Plain and Hashefela areas
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In the future we plan to adjust the overall model for each zone and to
use this for the purpose of earthquake hazard assessment in the Hashefela region.
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SHEAR-WAVE VELOCITY ESTIMATION FROM AMBIENT VIBRATION |
One of the major requisites for numerical prediction of site effects is
to feed the models with reliable parameter values concerning geotechnical
properties of the subsurface structure.
The SHAKE (1971) and Joyner’s (1977) programs, which we use for site
response modeling, suppose sufficiently detailed knowledge of the thickness,
density and shear-wave velocity of each layer of the soil column. Data on
underground structure can be obtained from borehole data. At that point we
collect all available information on S-wave velocities and suggest rough
starting values. The S-wave velocity values, which after iterative procedure
of trial-and-error fitting yield good agreement between calculated and
observed response functions, are accepted as optimal and used further.
As initial velocity values for Hashefela we used the results obtained in the
previous investigations in the Lod-Ramla and Coastal Plain areas (Zaslavsky
at al., 2001; Zaslavsky et al., 2002c). These results are summarized in Table 3.
In order to verify the applicability of the velocity models derived in the
Lod-Ramla and Coastal Plain areas for the Hashefela region and estimate
shear-wave velocity distribution with depth (for sediment thickness of more
than 300m) 140 wells with different lithological structures and layer
thickness were involved in the modeling process. We give below we some
examples of comparison of the calculated transfer functions and experimental
spectral ratios.
Measurement point 210 is located at borehole Ld-19 and its soil column
consists of sandy loam of the Kurkar Gr. overlaying dolomites of the Judea Gr.
Using corresponding S-wave velocity values from Table 3 gives good agreement
in both the fundamental frequency and amplification factor, as shown in Fig.12.
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Figure 12. Comparison of analytical
response function and experimental spectral ratio for Point 210 (LD-19 well)
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Measurement point 188 is situated at borehole Tunis 5 and represented by
sandy loam, calcareous sandstone and clay overlaying Judea Gr. carbonates.
Also in this case we can see in Figure 13, that Vs=650 at a depth of more than
100 m is assumed for clay of the Yafo Fm. and provides good coincidence between
the observed and calculated response functions.
Figure 13. Comparison of analytical response
function and experimental spectral ratio for Point 188 (Tunis-5 well)
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We calculated analytical response functions for sites 319, 320, 363, 359,
395, and many others, located at wells with a soil column including clay layers.
The thickness of the clay layers varies from 30 m up to 700-800 m. In the models
with significant misfit between analytical and experimental response function
we corrected Vs value depending on depth. Our conclusions regarding optimal Vs
velocity model in-depth are shown in Fig.15.
Figure 14. Selection of the optimal model
for Lachish 14 well (Point 346).
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In order to estimate vertical distribution of Vs for chalk layers, the
analytical response functions were calculated at measurement points 201, 406,
281, 270, 266, 267, 276, 309 etc. closed to boreholes. The depth of chalk bedding
at these drilling sites changes from tens of meters to about 600 meters.
According to our investigations in Lod-Ramla shear-wave velocity of united layer
of marl and chalk facies varies from 700 m/s at depths of 0-50m to 950 m/sec at
depths of more than 200 m. Figure 14 illustrates our failed attempt to use
Vs=950 m/sec for a chalk layer with 590m thick bedding at a depth of 10m (point 346,
Lachish 14 well). The difference between the fundamental frequency of the
experimental and theoretical transfer functions is obvious. By trial-and-error
fitting we found that the Vs value giving satisfactory agreement is 1200 m/sec.
Consecutive analysis of the ambient noise measurements at boreholes allowed us
to suggest a velocity model for the chalk (see Fig.15).
Velocity-depth distribution for clay and chalk-marl derived by means
iterative fitting procedures are depicted on Fig.15.
Figure 15. Shear-wave profile estimated from
ambient vibration measurements
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DISCUSSION AND CONCLUSIONS
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After recent earthquakes, a priori estimations of site effects became
a major challenge for efficient mitigation of seismic risk, because, in the
case of moderate earthquakes, significant damage and loss of life has been
directly related to local geotechnical conditions. As illustrated by a test
performed in the Turkey Flat, located near the Parkfield section of the San
Andreas Fault (Field and Jacob, 1993), the numerical approach requires a
very good knowledge of the local structure responsible for site effects.
Only in the ideal case is it possible to perform a geophysical and
geotechnical campaign with, for instance, cross-hole tests in order to obtain
a reliable S-wave velocity and density of different lithological units and
thickness of each layer. On the other hand, the known experimental techniques
obtain reliable estimates of site effects, when the data are several tens of
good quality earthquake recordings at the sites. These techniques, however,
are costly, particularly in regions such as Israel with relatively low
seismicity.The H/V ratio, i.e. the ratio between the Fourier spectra of the
horizontal and vertical components of ambient vibrations (Nakamura’s method)
has proved to be a valuable tool in determining first modes of transfer
functions of site effects in the Hashefela and Hasharon areas, if applied
“with care” and “appropriately”.
Most of all we require analytical models to improve the reliability and
relevancy of the results obtained. Where reliable data on subsurface velocity
structure are lacking, we derived them via iterative procedure of adjusting
theoretical response function to experimental spectral ratio at measurement
points close to drilling sites. In this way in the Coastal Plain investigations
revealed that the reflector (half-space) in the area of Ashkelon to Binyamina
is calcareous sandstone of the Kurkar group, while at Carmel coast, according
to our observations, the reflector is carbonates of the Judea group. Velocity
models obtained on the basis of the extensive database of microtremor
recordings in the Lod-Ramla area, considering our conclusions in the Coastal
Plain, were distributed over the Hashefela region. We give some interesting
examples for discussion.
Measurement point 218-1 is located at well Yarkon 1 on the upcast side of
the fault marked by borehole data (see Figs.16). The depth of the
Judea Gr. limestones is 285 m. Modeled fundamental frequency and maximum
amplification factor are 0.6 Hz and factor 3, while the measurements give us
a frequency of 0.4 Hz, which corresponds to the depth of more than 400 m.
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Figure 16. Fragment of the structural
map of top Judea Gr. and location of Yarkon 1 well (Point 218-1)
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An analogous situation where the depth of the Top Judea Gr. determined by
well data and the depth of reflector inferred from our measurements are
considerably different, is observed at Nir’am-4 well (measurement point 364).
In the geological interpretation of the well, the Top Judea Gr. is at a depth
of 237 m that corresponds to a frequency of 0.8 Hz. The experimental spectral
ratio shows a very clear peak at 0.65 Hz. From this coincidence of experimental
and calculated response functions may be reached only when the reflector depth
is 300 m.
The issue of kurkar velocity must be solved separately at each site,
because the Kurkar group represented by alternating calcareous sandstones,
“hamra” and sand is usually marked as a united layer in well descriptions.
In the previous investigations in the Lod-Ramla and the Coastal Plain areas
we showed that ambient noise measurements might be a way to obtain a general
idea of the subsurface structure. Here we give an example of a “kurkar issue”
solution in the Hashefela region. The upper 100 m of the lithological column of
Brur-3 well are described as calcareous sandstone of the Kurkar group.
Calculating the analytical response function with appropriate S-wave velocity
for sandstone yields amplification factor 2.5 at frequency 0.65 Hz while the
result of the measurements at point 350 close to the well are: amplification
factor of 4.8 at frequency 0.6 Hz. We repeated the procedure assuming Vs equal
to 350 m/s (sand) and reached the desired result (see Figs.17). A fairly thick
layer of sediments above reflector (about 300m) explains the small alteration in
fundamental frequency for two models.
Figure 17. Comparison between theoretical response
function and experimental spectral ratio for Point 350 (Brur-3 well).
Experimental ratio - red line; theoretical function, calculated
assuming for kurkar layer: Vs =700 m/c - dashed line; Vs=350 m/sec –black line
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Using the database of ambient vibration measurements in the Hashefela
region, it is possible to show correlation between fundamental frequency and
thickness of sediments overlaying dolomites of the Judea Gr. for a wide range
of sediment thickness from ten meters up to 700 m. The graph of this dependence
is plotted in Fig.18.
Figure 18. Observed fundamental frequency
plotted versus sediment thickness of deposits overlaying dolomites
of Judea Gr. in the Hashefela region
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The significant deviations of the data points in both frequency and
thickness values from strict linear relationships, despite a correlation
coefficient of 0.85, are probably a consequence of lithological inhomogeneties.
Drawing a straight line through the data points assumes an averaging of
lithology and shear-wave velocity depth dependence. A thickness derived from
this correlation cannot be valid for a particular site. Hence, the practical
relevance of this correlation for calculating of models at locations, where no
borehole information is available, is questionable. In the final version of
this report we plan to extend the database of measurements and take into
consideration lithological composition of the sediments above reflector.
Some important conclusions from the experiment discussed in the
present study were reached:
Maps of fundamental frequency and maximum amplification factor
constructed on the basis of 500 ambient vibration measurements in the
Hashefela and Coastal Plain areas exhibit amplification of factor 2-7
over the frequency range from 0.3 up to 7 Hz. The key parameter of ground
motion amplifications is impedance contrast between soil deposits and
underlying bedrock, therefore we observe the same amplification level
of factor 2-3 in areas with a very different geological structure: loose
deposits lying on calcareous sandstone of the Kurkar group at Coastal Plain
and chalks of the Avedat group overlying dolomites of the Judea Group.
The fundamental frequencies determined in the present study in
the Hashefela region were found to correlate generally with the dip of the
reflector represented by dolomites of the Judea Gr. from the east to the
west. Contrarily, in the Coastal Plain, the increase in the fundamental
frequency eastward matches the dip of the reflector represented by calcareous
sandstone of the Kurkar Gr. from the west to the east that was confirmed by
additional measurements in the Coastal Plain. A change in reflector occurs at
a depth of top Judea Gr. of 600-700m. The boundary is marked on the maps by red
line in the central part of the study area, as well as near the northwest corner.
The uncertainties associated with the proposed subsurface models
yield a too high a variability between the analytical site response
functions. Hence, we found it useful to compare the possible analytical
functions with those obtained empirically. After a trial and error process,
we obtained 1D models that yield response functions consistent with our H/V
observations. These models were used to define and constrain the average
shear wave velocities of the unconsolidated materials overlying the bedrock.
In particular we inferred velocity-depth model for clay and chalk, which
show variation of Vs from 500 m/s up to 700 m/s within a depth interval of
50-450 m for clay; and from 700 m/s up to 1300 m/s in the depth range of 0-650 m.
Owing to the fact that the H/V spectral ratio techniques are
relatively simple and inexpensive, we would strongly recommend that they be
performed in site response investigations to support and verify theoretical
calculations. Predictions based on models inferred only from geological and
geophysical information may differ significantly from empirical estimates
owing to the geological complexity of the site and the significant uncertainty
associated with evaluating model parameters.
Based on subsurface information from borehole data and the 500 site
response measurements, we divided the study area into twelve zones,
each characterized by resonance frequency and amplification of fundamental
mode of site response function. These models will be used in earthquake
scenarios for damage and losses assessments. The ground acceleration and
elastic response spectra in the each zone will be presented as a result
convolution analysis of rock ground motion with analytical transfer function
of zone. It must be remembered that our results for microzonation studies
were obtained using a very sparse grid (7 km2) and can be used in earthquake
scenarios for damage and losses assessments only on a large scale.
Site effects assessment at small scales in urban areas requires much more
dense grid (0.2*0.2 km2).
We suggest that future research efforts in investigated areas should
have a two-fold focus:
to identify sediment sites where known or suspected strong
impedance contrast;
to investigate ground motion characteristics for these sites
using very dense grid.
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ACKNOWLEDGMENT |
Our cordial thanks for the financial support of the Steering Committee for the
National Earthquake Preparedness and Mitigation.
We wish to thank Dr. Zohar Gvirtzman for his willingness to share knowledge and
information on geology of the region and, especially, for his contribution in the
planning of measurement points.
We are most thankful to Dr. A. Hofstetter and L. Fleisher for fruitful
discussion.
Thank are also due to I. Chelinski, D. Artzi and Y. Menahem for their assistance
in preparing this report.
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