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7/30/2019 THREE-DIMENSIONAL SIMULATION OF SEISMIC WAVE PROPAGATION IN THE METROPOLITAN AREA OF ZMR, TURKEY
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THREE-DIMENSIONAL SIMULATION OF
SEISMIC WAVE PROPAGATION IN THE
METROPOLITAN AREA OF ZMR, TURKEY
by
Gkhan GKTRKLER
December, 2002
zmir
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THREE-DIMENSIONAL SIMULATION OFSEISMIC WAVE PROPAGATION IN THE
METROPOLITAN AREA OF ZMR, TURKEY
A Thesis Submitted to the
Graduate School of Natural and Applied Sciences of
Dokuz Eyll University
In Partial Fulfillment of the Requirements for
the Degree of Doctor of Philosophy in Geophysical Engineering, GeophysicalEngineering Program
by
Gkhan GKTRKLER
December, 2002
zmir
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To the memory of my father,
Vedat GKTRKLER
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ACKNOWLEDGMENTS
I would like to thank The Department of Geophysical Engineering of Dokuz Eyll
University for their support during my thesis study. I owe special thanks to The
Scientific and Technical Research Council of Turkey (TUBITAK) Marmara
Research Center (MAM) Earth and Marine Sciences Research Institute for
generously letting me use their computer facilities for simulation studies. Also, I
would like to thank my advisor Prof. Dr. A. Gngr Taktak for his support and
guidance.
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ABSTRACT
Using a finite-difference scheme, 3-D seismic wave propagation in the
metropolitan area of zmir, Turkey was simulated. The scheme is based on the
velocity-stress formulation of the wave equation on a staggered-grid. A 3-D elastic
model was constructed using well data drilled for engineering purposes and limited
seismic experiments in the zmir Bay. The model consists mainly of unconsolidated
sediment cover overlying a basement. Seismic wave propagation was simulated for a
hypothetical earthquake on the western segment of the zmir fault. It was defined as a
point source at the depth of 5 km. Simulations were carried out by using two
different approaches to the source: an explosive pressure source and a rupture having
normal fault features. Lateral propagation of the basin-edge-generated waves in the
bay area and resonating seismic energy in the Bornova basin were the main features
of the wave propagation induced by the pressure source. The basin-edge-generated
waves are considered as the Rayleigh surface waves. Calculation of the normalized
cumulative kinetic energy and peak particle velocity on the surface of the study area
indicates the largest values in the vicinity of the epicenter and the bay area including
the Balova and Karyaka-Bostanl areas. The Bornova basin is characterized by
relatively low values of kinetic energy and peak particle velocity. Broad features of
the wave propagation were observed in the simulation for a hypothetical rupture. The
direct S-wave propagation was the main event of the wave propagation, and P-wavewas quite negligible as the result of the source type used. Basin-edge-generated
waves in the bay area and S-to-P conversion were the other features of the wave
propagation.
Keywords: finite difference method, simulation, velocity-stress formulation, seismic
wave propagation, zmir fault.
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ZET
Bir sonlu farklar algoritmas (staggered-grid finite difference) kullanlarakzmir
metropolitan alannda boyutlu (3B) sismik dalga yaylm simlasyonu
gerekletirilmitir. Yntem, dalga denkleminin hz-gerilme eklinde ifade
edilmesine dayanmaktadr. Mhendislik amal alan sondaj kuyular ve zmir
Krfezindeki kstl sismik almalardan yararlanarak 3B bir hz modeli
oluturulmutur. Model, biri sedimanter dolguyu, dieri temeli temsil eden iki
birimden olumaktadr. zmir Faynn bat segmenti zerinde, yaklak 5 km
derinlikte varsaymsal bir depremden kaynaklanan sismik dalga yaylm, nokta
kaynak yaklam kullanlarak modellenmitir. Simlasyon almalar, sismik
kaynak ilk nce bir basn kayna, daha sonra ise normal fay karakterine sahip bir
deprem kayna kabul edilerek gerekletirilmitir. zmir Krfezi civarnda,
sedimanter dolgu ile ana kaya arasndaki ara yzeyde (zmir Fay) retilen fazlarn
kuzeye doru yaylm ve Bornova Basenindeki rezonans basn kaynann sebep
olduu dalga yaylmnn en belirgin zellikleridir. Ara yzeyde retilen fazlar
Rayleigh yzey dalgas olarak yorumlanmtr. alma alannn yzeyinde
normalize edilmi kinetik enerji ve maksimum parack hz dalmlar
hesaplanmtr. Buna gre, en yksek deerler episantr civarnda ve Balova ile
Karyaka-Bostanl blgelerini iine alan krfez blgesinde grlmektedir. Ayrca
Bornova Baseni greceli olarak dk deerlerle temsil olunmaktadr. Deprem
kayna kullanlarak gerekletirilen simlasyon, alma alannda dalga yaylmnnok genel zelliklerini ortaya koymutur. Direkt S dalgas yaylm, simlasyonun en
belirgin zelliidir. Kullanlan kaynak trnden dolay belirgin bir P dalgas yaylm
gzlenmemitir. Basen kenarlarnda retilen fazlar ve S-P mod dnmleri dalga
yaylmnn dier zellikleridir.
Anahtar Szckler: sonlu farklar yntemi, simlasyon, hz-gerilme denklemi,
sismik dalga yay
l
m
, zmir Fay
.
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CONTENTS
Page
Contents ....................................................................................................................... 7
List of Tables ...............................................................................................................x
List of Figures ............................................................................................................xi
Chapter One
INTRODUCTION
1. Introduction..............................................................................................................1
Chapter Two
GEOLOGY, TECTONICS, and SEISMICITY
2.1. Geology and Tectonics of the Western Anatolia ............................................... 5
2.2. Geology of the Study Area............................................................................... 10
2.2.1. Bornova Plain........................................................................................... 10
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2.2.2. Balova Area ............................................................................................11
2.2.3. zmir Bay.................................................................................................. 12
2.2.4. Karyaka-Bostanl Area .......................................................................... 12
2.3. Major Tectonic Elements in the Study Area .................................................... 12
2.3.1. Bornova Fault........................................................................................... 13
2.3.2. zmir Fault ................................................................................................ 13
2.4. Seismicity of the Study Area............................................................................ 15
2.4.1. Historic Seismicity................................................................................... 16
2.4.2. Present-Day Seismicity ............................................................................ 18
Chapter ThreeMETHOD: STAGGERED-GRID FINITE-DIFFERENCE
3.1. Computational Method .................................................................................... 22
3.2. Velocity-Stress Formulation of the Wave Equation ........................................ 24
3.3. Finite-Difference Implementation.................................................................... 25
3.4. Source Implementation .................................................................................... 29
3.5. Boundary Conditions .......................................................................................32
3.5.1. Absorbing Boundary Conditions ............................................................. 32
3.5.2. Free-Surface Boundary Conditions.......................................................... 34
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Chapter Four
SIMULATION STUDIES
4.1. Three-Dimensional Model for the Study Area................................................. 42
4.2. Seismic Source Used in Simulations ............................................................... 44
4.3. Results of Wave Propagation Simulations....................................................... 45
4.3.1. Simulation for an Explosive Pressure source........................................... 47
4.3.2. Simulation for a Hypothetical Earthquake............................................... 56
Chapter Five
CONCLUSIONS
5. Conclusions............................................................................................................65
References.................................................................................................................. 68
Appendix A ................................................................................................................80
Appendix B ................................................................................................................82
Appendix C ................................................................................................................83
Appendix D ................................................................................................................84
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LIST OF TABLES
Page
Table 4.1. Modeling parameters used in 3D simulation
with a pressure source ............................................................................................48
Table 4.2. Earthquake rupture parameters .................................................................56
Table 4.3. Modeling parameters used in 3D simulation
for an earthquake................................................................................................... 57
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LIST OF FIGURES
Page
Figure 2.1. Majorgeologic units and tectonic elements in the western
Anatolia....................................................................................................................7
Figure 2.2. Map showing major neotectonic structures and neotectonic
provinces in Turkey ................................................................................................. 8
Figure 2.3. Major structural elements in western Anatolia..........................................9
Figure 2.4. Geological map ofzmir and adjacent areas............................................ 11
Figure 2.5. Tectonic elements in the study area.........................................................14
Figure 2.6. Destructive earthquakes in Turkey and adjacent areas between
10 AD 1000 AD ................................................................................................... 19
Figure 2.7. Major earthquakes (M > 5.9) in Turkey and its vicinity during
the 20th century...................................................................................................... 19
Figure 2.8. Epicenterdistribution of historical earthquakes in the western
Anatolia.................................................................................................................20
Figure 2.9. Major earthquakes, which caused damages in zmir and its vicinity
during the 20th century ........................................................................................... 20
Figure 2.10. Earthquake focal mechanism in the Aegean region .............................. 21
Figure 3.1. Staggered grid used in the finite difference calculations.........................26
Figure 3.2. Definition of the faultorientation parameters (strike s, dip ,
rake ) and Cartesian coordinates (x, y, z)...........................................................30
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Figure 3.3. Representation of the body-force distribution in the x-direction (fx)
based on generalized moment-tensor source description.......................................33
Figure 3.4. Wave-field variables in an xz plane......................................................... 36
Figure 3.5. Snapshots of some of the wave-field variables in a homogeneous
medium................................................................................................................... 37
Figure 3.6. Snapshots of horizontal and vertical components at 1.8, 2.5
and 3.1 s ................................................................................................................. 38
Figure 3.7. Comparison of synthetic seismograms calculated by
finite-difference (FD) and frequency-wavenumber (FK) technique...................... 40
Figure 3.8. Synthetic seismogram calculated by finite difference scheme
utilizing the moment-tensor source formulation is compared with that
obtained by frequency-wavenumber integration...................................................41
Figure 4.1. Model of basementdepth distribution in the study area..........................46
Figure 4.2. Pressure-time history (top) and amplitude spectrum (bottom) of thesource-time function used in the simulation ........................................................... 47
Figure 4.3. Snapshots of 3D-simulated wave propagation in the study area
for a pressure source at the depth of 5 km ............................................................. 49
Figure 4.4. Seismic record sections for the radial and vertical velocities along
two profiles running N-S........................................................................................ 52
Figure 4.5. Time histories of radial and vertical velocities at four different
sites (marked by solid triangles) in the study area................................................53
Figure 4.6. Normalized cumulative kinetic energy and peak particle velocity
distributions on the surface of the study area......................................................... 55
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Figure 4.7. Source-time function used in 3-D simulation for a hypothetical
earthquake on the zmir fault ................................................................................. 57
Figure 4.8. Snapshots of 3D-simulated seismic wave propagation in the
study area for a hypothetical earthquake with a focal depth of 5 km ....................59
Figure 4.9. Time histories in the form of seismic record section for the radial,
tangential and vertical components of the particle velocity along the profile
AA across the Balova region, zmir Bay, and Karyaka-Bostanl region ........ 61
Figure 4.10. Seismic record sections of the radial, tangential, and vertical
components of the particle velocity along the profile BB across the
Bornova basin ....................................................................................................... 62
Figure 4.11. Time histories of the particle velocity at four different sites (marked
by filled triangles) in the study area......................................................................64
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1
CHAPTER ONE
INTRODUCTION
1. Introduction
Understanding the characteristics of seismic wave propagation in a region may
help to mitigate earthquake hazards. One way to understand that is numericalmodeling. Developments in computer sciences have made realistic seismic wave-
propagation simulations feasible since 1990s. Realistic simulation means modeling
three-dimensional (3-D) elastic wave propagation in the earth. As known, many
cities in Turkey are located near the rupture zones of large earthquakes, and the city
of zmir is one of them. Therefore, in the framework of this thesis study, 3-D
simulation of seismic waves in the metropolitan area ofzmir is studied. On the other
hand, zmir is one of nine cities in the world selected for the RADIUS (RiskAssessment Tools for Diagnosis of Urban Areas Against Seismic Disasters) project.
Because of geological characteristic of the region in which the city is located, it is
under the serious earthquake risk. Also the city experienced many destructive
earthquakes in the past. Therefore, an Earthquake Disaster Masterplan for the city
has been prepared by collaboration of the Bosphorus University and Istanbul
Technical University. In this masterplan, earthquake hazard analysis has been carried
out and earthquake hazard scenario has been developed for the city. The zmir fault,
which is the main active fault system in the citys metropolitan area, was chosen as
the scenario fault for these studies (Selvitopu & Tuna, 2000). The study area
mainly comprises the zmir Bay and the surrounding area. It includes the zmir Bay
in the west, the Bornova plain in the east, the Karyaka-Bostanl area in the north of
the bay and the Balova area in the south of the bay. It also covers some parts of the
Buca district but the geological structure is taken as the bedrock there. Since the
model did not cover that area completely, taking into account its geology would not
be realistic. The model covers a volume of 15 (N S) x 27 (E W) x 7 (Depth) km.
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Using a 3-D staggered-grid finite-difference (FD) scheme, seismic wave
propagation was simulated in the study area. A 3-D model was constructed using
well data drilled for water and geothermal explorations and limited marine seismic
studies in the zmir Bay. It mainly includes a sedimentary basin over the basement.
Simulations are carried out for a hypothetical earthquake on the western segment of
the zmir fault. It is a point source at the depth of 5 km. Seismic wavefields are
calculated by two different approaches to the source: an explosive pressure source
and a rupture with normal fault mechanism.
Using some numerical methods, simulation of seismic wave propagation within
the earth is known as seismic modeling and it aims to obtain the seismogram at a
certain location for a given subsurface structure and source function. Simulating
wave propagation on a numerical mesh, representing the subsurface by finite number
of points, is called as grid method or full-wave equation method because it
propagates the complete wavefield through the model (Carcione et al., 2002). Any
heterogeneity of the medium is easily included into model in the grid method. After
the work of Alterman & Karal (1968), use of finite-difference method became astandard tool in seismic modeling. They solved an elastic wave propagation problem
in a layered half-space induced by a compressional buried point source. Boore (1972)
discussed seismic wave propagation in heterogeneous materials by use of the finite-
difference methods. Alford et al. (1974) studied the effects of the second-order and
forth-order finite-difference operators for space derivatives on the accuracy of
acoustic wave propagation calculations. Kelly et al. (1976) introduced the
homogeneous and heterogeneous finite-difference formulations of elastic wavefieldin two-dimensional media, and they successfully applied the method to different
earth models. Following Madariaga (1976), Virieux (1986, 1984) showed P-SV and
SH-wave propagations on a staggered-grid based on velocity-stress formulation.
Levander (1988) calculated P-SV seismograms using a forth-order finite-difference
scheme based on the Madariaga-Virieux staggered-grid formulation. As a result of
the advancements in computer technologies, 3-D simulations of seismic waves
became possible for geoscientists. Frankel & Vidale (1992) used finite-difference
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method to model 3-D wave propagation in the Santa Clara Valley, California for an
aftershock of the Loma Prieta earthquake (1989). Frankel (1993) modeled three-
dimensional ground motions in the San Bernardino Valley, California for
hypothetical earthquakes on the San Andreas fault. Introducing the moment-tensor
source description, he successfully included earthquakes with arbitrary source
mechanism in simulations and modeled seismic wave propagation for a point source
and an extended rupture. Yomogida & Etgen (1993) simulated 3-D seismic waves in
the Los Angeles basin for the Whittier-Narrows earthquake (1988) using a high-order
scheme on a staggered grid. Olsen et al. (1995) simulated 3-D elastic wave
propagation in the Salt Lake basin, Utah. Olsen & Archuleta (1996) carried out
simulations in the metropolitan area of the greater Los Angeles area for the
earthquakes on the Los Angeles Fault system using a 3-D velocity-stress staggered-
grid finite-difference scheme. They modeled propagating ruptures with constant slip
on the fault system. Pitarka et al. (1998) studied the near-fault ground motion for the
1995 Hyogoken Nanbu (Kobe) earthquake, Japan by 3-D simulation. Sato et al.
(1999) modeled 3-D ground motions in the Tokyo metropolitan area for the 1990
Odawara earthquake and the great 1923 Kanto earthquake in Japan. Employing an
algorithm similar to that of Graves (1996), Frankel & Stephenson (2000) carried out3-D ground-motion simulations in the Seattle region by hypothetical earthquakes on
the Seattle fault. Also, Satoh et al. (2001) modeled waveforms of strong motions in
the Sendai basin, Japan, by staggered-grid 3-D finite-difference scheme using
variable grid spacing.
A 3-D staggered-grid finite-difference scheme was employed to simulate seismic
wave propagation in the study area. It follows the algorithm described by Graves(1996). The scheme is based on the velocitystress formulation of the wave equation.
It propagates the complete wavefield in a heterogeneous elastic medium. Arbitrary
velocity and density distributions can be included in the modeling without any
difficulty. The scheme is fourth-order-accurate in space and second-order-accurate in
time and uses the effective media parameters (Randall et al., 1991). The
implementation of the source is achieved by using the generalized moment-tensor
source description. It is based on the work of Frankel (1993). Using this source
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description a wide range of seismic sources from explosion to shear dislocation is
easily introduced to simulations. The source implementation is realized as applied to
either the velocity or the stress components of the wavefield (e.g., Graves, 1996;
Olsen & Archuleta, 1996). No anelastic attenuation is taken into account in
simulations. I apply absorbing boundary conditions to all edges of the computational
domain except the free surface. In each simulation, the grid spacing and time step
were 150 m and 0.017 s, respectively. A 17-s simulation was achieved.
Propagation of the basin-edge-generated waves in the bay area and prolonged
duration of seismic energy in the Bornova basin are the main features of the wave
propagation for the pressure source. The ground-motion parameters (cumulative
kinetic energy and peak particle velocity) of this simulation indicate the largest
values near the epicenter and in the bay area comprising the Balova and Karyaka-
Bostanl areas. Relatively low values exist over the Bornova basin. Broad features of
the wave equation are observed in the simulation for a hypothetical rupture on the
western segment of the zmir fault. The direct S-wave propagation is the main event
and P-wave is not strong due to the source type used. The Bornova basin does not
show a strong impact on the wave propagation, but this is the result of the simulationparameters used rather than that of the geological setting in the Bornova basin. Due
to computational power restrictions the simulation were carried out using relatively
large grid spacing and this resulted in reduced resolution. Therefore, I consider the
simulation for a hypothetical earthquake as a modeling study, which reveals gross
features of the wave propagation in the study area.
In the following pages, a brief discussion on the geology, tectonics and seismicityof the western Anatolia is given in Chapter 2. It is followed by discussion on the
geology, major tectonic elements and seismicity of the study area. Chapter 3 includes
the details of simulation method. In this chapter, computational method, finite-
difference implementation of the scheme, implementation of the source and
boundary conditions are discussed. In Chapter 4, 3-D elastic model for the study are
and the results of the wave propagation simulations are discussed, and conclusion are
given in Chapter 5.
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CHAPTER TWO
GEOLOGY, TECTONICS, and SEISMICITY
2.1. Geology and Tectonics of the Western Anatolia
There are four major paleotectonic units in the western Anatolia (Figure 2.1)
(engr et al., 1985; engr, 1987; Ylmaz, 1997). These units are generally in thedirection of NE-SW. They had come together at the different times prior to the
middle Miocene as a result of different tectonic processes. They are as the following
from north to south (Erdik et al., 1999):
Sakarya continent, zmir Ankara suture zone, Menderes massive, Lycian nappes
Sakarya continent locates between the zmir-Ankara suture zone in the south and
Inner-Pontid suture zone in the north. It has a basement being composed of
metamorphic and non-metamorphic Paleozoic units. The Mesozoic and Cenozoic
units overlay the basement (Ylmaz, 1997). The zmir-Ankara suture zone is between
the Sakarya continent and the Menderes massive. It consists of ophiolitic melangeand peridotites. It has experienced metamorphism at some places (Ylmaz, 1997). It
is named as the Bornova schist or melange in near zmir (Kaya, 1981; Erdoan &
Gngr, 1992). The Menderes massive, which is the most important metamorphic
unit in the western Anatolia, is located between the zmir-Ankara suture zone and
Lycian nappes. The massive has complex lithology and structure. It is thought that
the main phase of metamorphism had taken place between the Late Cretaceous and
Early Miocene (Ylmaz, 1997). Lycian nappes are between the Menderes massive
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and the Bey Dalar autochthon. Obduction of the oceanic crust onto the Anatolid
Torid platform during the subduction along the zmir-Ankara suture zone in the Late
Cretaceous together with accretionary complex of the subduction phase of the
continental collision in the Late PaleoceneEarly Eocene has been considered for the
origin of Lycian nappes for last three decades (Brunn et al, 1971; Graciansky, 1972;
engr & Ylmaz, 1981; engr et al., 1984; Ersoy, 1990; Erdik et al., 1999).
A wide spread magmatic activity is observed in the region. Age of granites, which
consist of granodoirites and monozonites, is about 3520 Ma. According to Ylmaz
(1989, 1990) there exist three different phases in the period of the MiocenePliocene.
The first period produced calcalkaline magma (Late OligoceneEarly Miocene); the
second phase is a transition period (Miocene), and alkaline magma is the product of
the third period (PlioQuaternary). Volcanic rocks also indicate three different
phases (Kaya, 1981). The first period took place between 3015 Ma and included
very different compositions (e.g., basaltic andesite, andesite and dasite), and volcanic
activity was quiet between 1512 Ma (Kaya, 1981). The second phase of the activity
took place between 1210 Ma. Kula basalts are the product of the last period and
they are very young (300.00010.000 a).
Neotectonics of Anatolia is known better than its paleotectonics even though
neotectonics of the region includes many controversial subjects. In the following
lines broad features of Turkeys neotectonics will be discussed in the basis of the
work of Bozkurt (2001). The main driving force of active tectonics in Turkey is the
interactions among the Eurasian, Anatolian and Arabian plates. The northward
movement of the African and Arabian plates relative to the Eurasian plate causesthis. Three major elements resulting from this interaction control the neotectonics of
the country. These are the North Anatolian Fault Zone (NAFZ), East Anatolian Fault
Zone (EAFZ) and the Aegean-Cyprean Arc (Figure 2.2). The NAFZ and EAFZ are
intracontinental strike-slip faults, and the Anatolian block moves toward west from
the collision zone of the Arabian and Eurasian plates (engr & Ylmaz, 1981;
engr et al., 1985). The rate of this escape is ~20 mm year (Barka, 1992; Westaway,
1994; Kahle et al., 1998). This extrusion is accompanied by anticlockwise rotation in
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the Aegean region (McKenzie, 1970; Dewey & engr, 1979; Rotstein, 1984;
Jackson and McKenzie, 1988; Seber et al., 1997). Consequently, this tectonic
mechanism has created four different neotectonic proviences in Turkey (Figure 2.2).
These are West Anatolian Extensional Province, North Anatolian Province, Central
Anatolian Ova Province and East Anatolian Contractional Province (engr et al,
1985; Bozkurt, 2001).
Figure 2.1. Majorgeologic units and tectonic elements in the western Anatolia.
(From Seyitolu & Scott, 1996)
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As a part of the Aegean Extensional Province, a region of extension including
parts of Greece, Macedonia, Bulgaria and Albania (Bozkurt, 2001), the western
Anatolia is one of the most rapidly being deformed continental regions in the world,
the present widely spread seismicity is an indicator of this deformation (Jackson &
McKenzie, 1988; Ambraseys, 1988; Taymaz et al., 1991). Currently, the region is
experiencing NS extension at a rate of ~3040 mm year (Oral et al., 1995; Le
Pichon et al., 1995). Besides of seismicity, high heat flow, intensive faulting and
volcanism are the other characteristics of the region. The present-day geomorphology
is characterized by a series of approximately EW trending major grabens (e.g.,
Edremit, Bakray, Simav, Gediz, Kk Menderes, Byk Menderes and Gkova
grabens) and NE SW trending secondary (crosscutting) grabens (Westaway, 1990;
Paton, 1992; Seyitolu & Scott, 1992; Seyitolu et al., 1992; Koyiit et al., 1999;
Bozkurt, 2000) (Figure 2.3). Therefore, basinforming normal faults are the
characteristic elements of neotectonic features of western Anatolia. The secondary
features in the region are the basins trending NNE and their intervening horsts (e.g.,
Grdes, Demirci, Selendi basins) (engr, 1987; Ylmaz et al., 2000).
Figure 2.2. Map showing major neotectonic sutructures and neotectonic provinces in
Turkey. (From Bozkurt, 2001)
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There are several models for the cause and origin of extensional mechanism in the
region (Bozkurt, 2001). These are tectonic escape (Dewey & engr, 1979; engr
1979, 1980, 1987; engr et al., 1985), back-arc spreading (Le Pichon & Angelier,
1979; Meulenkamp et al., 1988), orogenic collapse (Dewey, 1988; Seyitolu & Scott,
Figure 2.3. Major structural elements in western Anatolia. (From Bozkurt, 2001)
1996; Seyitolu et al., 1992) and episodic (a two-stage graben) models (Koyiit et
al., 1999). The tectonic escape model considers the westward motion of the
Anatolian block since the late Serravalian (12 Ma). The back-arc spreading model
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suggests that back-arc extension is the cause for the extensional regime as a result of
the south-southwestward migration of the Aegean Trench system. The origin date of
the subduction rollback process is controversial and they range between 60 Ma and 5
Ma. The spreading and thinning of over-thickened crust is considered as the cause of
the extension following the latest Palaeocene collision by the orogenic collapse
model. Episodic approach takes a orogenic collapse (Mioceneearly Pliocene) as the
first phase and westward motion of the Anatolian block (PlioQuaternary) as the
second phase of NS extensional regime (Bozkurt, 2001). Also, there is no
agreement on the age of the grabens. Suggestions can be classified into three major
groups. These are (1) they commenced to form during the Tortonian (engr &
Ylmaz, 1981; engr et al., 1985; engr, 1987), (2) their formation was started
during the Early Miocene (Seyitolu & Scott, 1992, 1996), (3) they are considered as
Plio-Quaternary structures (Koyiit et al., 1999; Bozkurt, 2000; Ylmaz et al., 2000)
(Bozkurt, 2001).
2.2. Geology of the Study Area
2.2.1. Bornova Plain
The geological map in Figure 2.4 indicates two groups of rocks in the region. The
first group is the Cretaceous and Tertiary consolidated rocks. These outcrop on the
hills surrounding the Bornova plain and they also form the basement of the plain.
Therefore, they are named as the basement rock. The second group includes
Quaternary unconsolidated formations. These are the units filling the basin. The
basement includes three main rock units as sedimentary, Neogene rocks and Tertiary
volcanic rocks. The oldest formation is the Cretaceous flysh. It outcrops on the small
areas in the southern eastern borders of the plain. On the large areas, which are in the
east and southeast also in the north the Cretaceous limestone outcrops. Neogene
limestones are located along the northeastern and southern borders of the plain and
there is discordance between the Cretaceous and Neogene limestones. Miocene
(Tertiary) volcanic rocks are seen along the northwestern and southeastern edges of
the plain and they overlay the sedimentary rocks. The main unit is andesite. The
Bornova plain has very flat surface. The elevation changes from 90 m in the eastern
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end to 0.5 m in the zmir bay. The sedimentary fill in the basin comprises clay, sand
and gravel beds (DSI, 1971).
2.2.2. Balova Area
As the area is one of the most important geothermal fields in the western Anatolia,
there are a number of wells drilled for geothermal energy by MTA (The Directorate
Figure 2.4. Geological map of zmir and adjacent areas. The map was compiled
from MTA, 1973; Ate, 1994; Erien et al., 1996. (Modified from Erdik et al., 1999.)
of Mineral Research and Exploration). Thus, our knowledge of the subsurface region
is mainly based on drilling works. Quaternary sediments and Cretaceous flysh are the
main units. Based on the geological observations and deep drillings the Cretaceous
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flysh is the oldest unit in the region. The flysh includes meta-sandstone, meta-
claystone, meta-siltstone and limestone, serpentine, diabas mega blocks. It is
alloctone on the Menderes massive metamorphits. Faults related with graben system
play an important role in the development of geothermal system in this region. The
thickness of the sedimantary fill deepens toward the north from 22 m to 182 m
approximately (Ylmazer, 1989; etiner, 1999).
2.2.3. zmir Bay
According to the marine seismic studies in the zmir bay carried out by Institute of
Marine Science and technology of Dokuz Eyll University, there are four different
geological units in the bay area. These are Quaternary sediments, Neogene
sediments, Neogene volcanic facies and Cretaceous flysh. These data were complied
using the refraction studies carried out in the inner and middle bay area. Even though
we have information on the layering and seismic wave velocities in the bay area,
depth information and topography of interfaces are still problematic (Ulu & zdar,
1988; Gnay, 1998).
2.2.4. Karyaka-Bostanl Area
The area is covered by Gediz alluvium. It probably overlies the andesitic rocks.
The thickness of the sediments is problematic. Even though there are wells with the
depths of ~200 m, they do not mostly reach the basement. Therefore, our knowledge
of the thickness is not reliable. The alluvium is mainly composed of sand, silt and
clay. It also includes very thin (in the range of a few centimeters) organic clay levels.
The sediments are mainly water saturated due to low elevation. Thus, they lack of
compactness. Also, swamps are observed in the areas near the coastline (Gnay,
1998).
2.3. Major Tectonic Elements in the Study Area
Neotectonic structures in zmir and adjacent areas indicate three major directions
as E-W, NE-SW and NW-SE. The dominant morphological structures are in the
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direction of E-W. These units which show normal fault characteristics are located in
the zmir bay and western end of the Gediz graben system. Faults with the directions
of NE-SW and NW-SE are dominant in the surrounding region. They have different
kinematic features, and this implies that the region has very complex tectonic
features. The main active faults in the study area (Figure 2.5) are the zmir and
Bornova faults (Erdik et al., 1999; Emre & Barka, 2000).
2.3.1. Bornova Fault
This fault is situated in the northeast ofzmir bay and it is in the direction of E-W.
It has normal fault characteristics. It might be considered as the conjugate component
of the zmir fault. Our knowledge on its activity is very limited. This fault formed in
the neotectonic period (Erdik et al., 1999; Emre & Barka, 2000).
2.3.2. zmir Fault
This fault forms the southern border of the zmir Bay. It runs in the direction ofEW. It comprises two major segments. The one is between zmir and Pnarba, and
then other is between Gzelbahe and kuyular. Based on geomorphological
features, it is in the form of normal fault. The eastern segment between zmir and
Pnarba includes two small segments, trending E-W. In the west of Kadifekale the
fault jumps toward south about 5 km. The western segment is between Gzelbahe
and kuyular. The footwall of the fault along this segment created a 1000m
topography. Alluvial fans have been formed in Narldere. Also a delta has developed
on the hanging wall of the fault between Balova nad Narl dere. Moreover, the
Agamemnon thermal springs, known since ancient times, is between Balova and
Narldere. Because of dense settlement in both Balova and Bornova regions
geological observations of zmir fault are very limited (Erdik et al., 1999; Emre &
Barka, 2000). Also our knowledge of its seismic activity is not satisfactory but
available historical data show that the fault had generated hazardous earthquakes in
the past (Ergin et al., 1967; Ambraseys & Finkel, 1995).
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Figure 2.5. Tectonic elements in the study area. They are in the form of normal fault. The zmir
border of the zmir Bay, and the Bornova fault is considered as its conjugate component. (Modi
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2.4. Seismicity of the Study Area
Turkey is located within the most seismically active region in the world, which is
known as the Mediterranean Earthquake Belt (Bozkurt, 2001), and it is a part of the
Alpine Himalayan Zone. Anatolia has experienced many destructive earthquakes in
the past and recent times. The events of 1458 Erzincan, 1509 and 1556 stanbul,
1688 and 1778 zmir, 1766 Marmara, 1912 Mreftearky, 1939 Erzincan, 17
August 1999 Kocaeli and 12 November 1999 Dzce might be mentioned as
examples (Erdik et al., 1999). Seismicity of a region is governed by its tectonic
regime. The seismic activity in Turkey is the result of the lithospheric collision
between the African and Eurasian plates.
Epicenter distribution of the earthquakes occurred in Turkey and adjacent areas
between 10AD1000AD are shown in Figure 2.6. Relation between epicenter
distributions and tectonic proviences given in Figure 2.2 is in excellent agreement. In
addition, Figure 2.7 shows the epicenters of the major events (M > 5.9) of the 20th
century. It displays almost the same pattern between the earthquake distribution and
tectonic proviences as the historical events. Comparison of these two seismicity
maps reveals that recent seismicity is a mere repetition of the historical pattern of
seismicity. On the other hand, Figures 2.8 and 2.9 show historical and recent major
events in the western Anatolia, respectively. Most of the earthquakes are clearly
related with the horstgraben system. Again current seismicity may be considered as
a repetition of the historical one. The overall seismicity of the region is manifested
by a number of mediummagnitude earthquakes and earthquake swarms (Erdik et al.,
1999). Earthquake focal mechanisms in the Aegean region are given in Figure 2.10.
Since basin-bounding normal faults are the main tectonic features in the western
Anatolia (Bozkurt, 2001), the area is characterized by normal fault solutions.
2.4.1. Historic Seismicity (pre1900)
In historic period of the seismicity of the western Anatolia many hazardous
earthquakes had occurred as shown in Figure 2.8. A list of major historical events
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affected the city of zmir is given as follows. Intensity (Io) is in MSK (Medvedev
Sponheur Karnik) scale.
1. 17, Asia Minor (zmir, Efes, Sart, Aydn, Manisa ve Alaehir; Io=X),2. 178, zmir (Io=VIII),3. 688, zmir (Io=IX),4. 1039, zmir (Io=VIII),5. 1056, zmir (Io=VIII),6. 1688 July 10, zmir (Io= X),7.
1723 September, zmir (Io=VIII),
8. 1739 April 4, zmir (Io=IX),9. 1778 July 3-5, zmir (Io=IX) (Ambraseys & Finkel, 1995, Erdik et al., 1999).
The event of 17 AD was catastrophic for the region. It caused severe damage in
12 major Ionian cities (Guidobani et al., 1994). Among the events above the
earthquakes of 1688, 1739 and 1778 were very destructive for the city ofzmir. The
event of 1688 was a smallmagnitude and locallydestructive earthquake. More than5000 people died and many houses and public buildings collapsed. Small - scale
seismic seawaves occurred (Ambraseys & Finkel, 1995). In the following, a broad
definition of the disaster is given
... The shock occurred at 11 h 45 m and lasted 20 to 30 seconds. In zmir much of
the destruction was caused in the lowlying area of the city and most east- facing
walls collapsed, together with three quarters of the houses and public buildings.
Out of seventeen large mosques only three were left standing, shattered and on
the verge of collapse.
... The shock started a fire in the European quarter of the city that spread rapidly
along the Street of France from the coast, spreading eastwards to the quarter of
Apano Mahalas.
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... As a result of the earthquake, the fort of Sancak Burnu, situated on a peninsula
at the entrance of the Gulf ofzmir, about three kilometers from the city, was
totally destroyed. The fort and ground around it sunk to the extent that the site
became an islet separated from the mainland by a stretch of sea 30 metres wide.
The fort itself sunk into the ground bodily to the extent that the sea reached the
embrasures and the cannon within. On the mainland in the vicinity of the fort,
about three quarters of the houses were destroyed by the shock.
Elsewhere, the ground in the low lying parts of the city opened up with the first
shock and in places water was ejected from fissures. After the earthquake, it was
found that the seashore in Smyrna had advanced inland as result of a general
sinking of the ground by about 60 centimetres. (Ambraseys & Finkel, 1995; pp.
91-92)
The area near the fort of Sancak Burnu (see Figure 2.5) is considered as the epicenter
of the earthquake (Ergin et al.1967, Ambraseys & Finkel, 1995) and this event is
taken into account an activity of the zmir fault.
The event of 1739 occurred in the Gulf of zmir. It was a damaging earthquake
and caused a widespread destruction in the city. Also it caused damage in Foa. It hit
the Smyrna at very early hours of the day (4 h 15 m) without any foreshocks. About
80 people died. The delta at the mouth of the Gediz River submerged because of the
earthquake (Ambraseys & Finkel, 1995).
On the 3rd of July, 1778 there was a main shock, almost totally damaged the city.
The earthquake, lasted about 15 seconds, occurred at 2 h 30 m. Many houses and
public buildings collapsed. There were aftershocks continued for 24 hours, and they
increased the damaged. A second strong shock hit the city at 13 h 30 m on the 5th of
July. It brought down walls and houses and commenced a fire burning down half of
the city in 36 hours. Aftershocks went on for six weeks. As a result of these
earthquakes more than 200 people lost their lives (Ambraseys & Finkel, 1995).
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2.4.2. Present-day Seismicity
During the 20th century the western Anatolia experienced major earthquakes
(Figure2.9), and zmir and adjacent areas have been damaged by these events. A list
of major earthquakes is given the following with intensities (Io) in MSK scale:
1. 1928 March 31, Tepeky-Torbal (38.09N - 27.35E; M=6.5; Io=IX),2. 1939 September 22, Dikili (39.05N - 26.93E; M=6.5; Io=VIII),3. 1949 July 23, Karaburun-eme (38.55N - 26.27E; M=6.6; Io=VIII),4. 1953 March 18, Yenice-Gnen (40.00N - 27.50E; M=7.2; Io=IX),5. 1955 July 16, Ske-Balat (37.70N - 27.20E, M=6.7, Io=VIII),6. 1969 March 25, Demirci (39.20N - 28.40E, M=6.1, Io=VIII),7. 1969 March 28, Alaehir (38.45N - 28.50E, M=6.5, Io=VIII),8. 1974 February 1, zmir (38.50N 27.20E, M=5.5, Io=VII),9. 1977 December 9, zmir (38.56N - 27.47E, M=4.8, Io=VII),10.1977 December 16, zmir (38.41N - 27.19E, M=5.5, Io=VII) (Erdik et al., 1999).
The list includes the earthquakes with the epicenters in zmir and some seriousevents (M > 6) with the epicenters in the surrounding area. A more detailed list of the
earthquakes of the present time is given in Appendix D.
The shock of 1974 caused heavy damage in Alsancak, Konak and Karyaka.
About 47 houses have been affected. Two people died and seven people have been
injured. After three years, the city experienced two successive earthquakes in a
month. These were not strong shocks. They caused some damage in about 40 housesand 20 people have been injured.
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Figure 2.6. Destructive earthquakes in Turkey and adjacent areas between
10 AD1000 AD. (From Ambraseys, 1971.)
Figure 2.7. Major earthquakes (M > 5.9) in Turkey and its vicinity during
the 20th century. (From Erdik et al., 1999.)
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Figure 2.8. Epicenterdistribution of historical earthquakes in the western
Anatolia. (From Erdik et al., 1999.)
Figure 2.9. Major earthquakes, which caused damages in zmir and its
vicinity during the 20th century. (From Erdik et al., 1999.)
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Figure 2.10. Earthquake focal mechanism in the Aegean region. They are mainly the
events of Mw 5.5. The earthquakes of Mw 6.0 are indicated by the larger
symbols. (From Jackson, 1994.)
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CHAPTER THREE
METHOD:STAGGERED-GRID FINITE-DIFFERENCE
3.1. Computational Method
Finite-difference techniques are widely used to solve a broad range of seismicwave propagation problems from exploration to earthquake simulation. One
advantage of these techniques is their ability to model wave propagation through
structurally complex media. Of these techniques, one is staggered-grid finite-
difference scheme. It has become a very popular numerical tool in computational
seismology since the works of Madariaga and Virieux. Madariaga (1976) developed
a staggered-grid finite-difference method for modeling expanding circular crack, and
Virieux (1986, 1984) adapted the scheme to model SH and P-SV wave propagation
in a two-dimensional (2-D) medium.
In a staggered-grid scheme, some of wave-field components are defined at
different nodes of the grid as opposed to the conventional finite-difference approach,
in which the components are located at the same nodes, and only displacements are
calculated at these nodes of the grid (e.g., Alterman & Karal, 1968; Kelly et al.,
1976). In a staggered-grid configuration, the grids for particle displacements
(velocities) and stresses are shifted from those for other components by half a grid
length in space (Yomogida & Etgen, 1993). Use of this grid configuration has
important advantages compared with the conventional finite-difference algorithm.
They can be summarized as the following:
Since the velocity components are located at different nodes, the scheme isstable for all range of the Poissons ratio. This means that the stability
condition is not a function of the Poissons ratio. Therefore, the same code
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can be used for models including liquid-solid interfaces without any special
treatments for the interfaces,
It has small grid dispersion and grid anisotropy, and they are relativelyinsensitive to Poissons ratio,
The system includes no spatial derivatives of the material properties. Thismeans that treatment of the internal interfaces does not require explicit
boundary conditions and interfaces are represented by changes in material
properties (elastic parameters and density). Therefore, medium
heterogeneity has no influence on the form of differential terms,
The source insertion is very simple and can be easily initiated in terms ofparticle displacement/velocity (via body forces) or stress,
Since velocity and stress components are not calculated at the same nodelocation, infinite amplitudes at the source location and very large values at
the adjacent nodes due to the source singularity are avoided (Alterman &
Karal, 1968; Virieux, 1986),
A stable and accurate representation of a planar free-surface boundarycondition is easily satisfied (Virieux, 1984; 1986; Levander, 1988; Graves,
1996).
Modeling wave propagation over a staggered-grid can be achieved by using oneof displacement-stress (Yomogida & Etgen, 1993; Ohminato & Chouet, 1997;
Moczo et al., 2000), velocity-stress (Olsen & Archuleta, 1996; Graves, 1996) or
displacement-velocity-stress (Moczo et al., in press) formulations. In the framework
of this study, I used a staggered-grid finite-difference algorithm to model seismic
wave propagation expressed as the first-order elastodynamic equations of motion in
terms of velocity and stress. I followed the formulation of Graves (1996), and in the
following pages, implementation of the scheme will be explained in the basis of his
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work. Also, some details of this algorithm are given in Appendices A, B and C.
Details of the other types of formulation could be found in the articles mentioned
above.
3.2. Velocity-Stress Formulation of the Wave Equation
Wave propagation in a three-dimensional, linearly elastic and isotropic medium is
described by equations of motion.
Equations of momentum conversation:
ttux = xxx + yxy + zxz + fx,
ttuy = xxy + yyy + zyz + fy, (3.1)
ttuz = xxz + yyz + zzz + fz,
and stress-strain relations:
xx = ( + 2) x ux + (y uy + z uz ),
yy = ( + 2) y uy + (x ux + z uz ),
zz = ( + 2) z uz + (x ux + y uy ), (3.2)
xy = (y ux + x uy),
xz = (z ux + x uz),
yz = (z uy + y uz).
In these equations, (ux, uy, uz) is the displacement vector;
(xx, yy, zz, xy, xz, yz) is the stress tensor; (fx, fy, fz) is the body force vector; is
the density; and are Lam coefficients; x = /x, y = /y, z = /z, and tt =
2/t2.
These equations can be transformed into a set of first-order differential equations
as the following:
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tvx = b(xxx + yxy + zxz + fx),
tvy = b(xxy + yyy + zyz + fy), (3.3)
tvz = b(xxz + yyz + zzz + fz),
and
xx = ( + 2) x vx + (y vy + z vz),
yy = ( + 2) y vy + (x vx + z vz),
zz = ( + 2) z vz + (x vx + y vy), (3.4)
xy = (y vx + x vy),
xz = (z vx + x vz),
yz = (z vy + y vz).
Here, (vx, vy, vz) is the particle velocity vector. b(x, y, z) is the lightness or the
buoyancy (inverse of density).
3.3. Finite - Difference Implementation
Solution of the system of equations (3.3) and (3.4) can be easily obtained using a
staggered-grid finite-difference approximation. Details on stability, grid dispersion
and numerical accuracy analyses of the staggered-grid finite-difference
approximation and details on its numerical implementation can be found in related
articles (e.g, Virieux, 1986; Levander, 1988; Randall, 1989; Moczo et al., 2000).
Configuration of the wavefield variables and media parameters on the staggered-
grid mesh are shown in Figure (3.1). The system is staggered in space and it is also
staggered in time. The numerical scheme, which is equivalent to the system of
equations (3.3) and (3.4) is given as the following:
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Figure 3.1. Staggered grid used in the finite difference calculations. The wave-field
variables and media parameters are defined at specific nodes of the unit cell, as
shown in the top of the figure. By using a series of unit cell, the model space is filled
up. The indices i, j and k represent the coordinates x, y and z, respectively. h is the
grid spacing. (From Graves, 1996.)
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n kjixzxzyxyxxxxn
kjxi
n
kjxi fDDDbtvv ,,2/12/1
,,2/12/1
,,2/1 |)( ++
++ ++++=
n
kjiyyzzyyyxyxy
n
kjyi
n
kjyifDDDbtvv
,2/1,
2/1
,2/1,
2/1
,2/1,|)(
+
+
+
+++++= (3.5)
n
kjizzzzyzyxzxz
n
kjzi
n
kjzi fDDDbtvv 2/1,,2/1
2/1,,2/1
2/1,, |)( +
++
+ ++++=
for the particle velocities, and
2/1,,,,
1,, |)()2(
++ ++++= n kjizzyyxxn
kjxxi
n
kjxxi vDvDvDt
2/1,,,,
1,, |)()2(
++ ++++= n kjizzxxyyn
kjyyi
n
kjyyi vDvDvDt
2/1,,,,
1,, |)()2(
++ ++++= n kjiyyxxzzn
kjzzi
n
kjzzi vDvDvDt (3.6)
[ ] 2/1 ,2/1,2/1,2/1,2/11 ,2/1,2/1 |)( + +++++ ++ ++= n kjiyxxyHxyn kjxyin kjxyi vDvDt
[ ] 2/1 2/1,,2/12/1,,2/11 2/1,,2/1 |)( + +++++ ++ ++= n kjizxxzHxzn kjxzin kjxzi vDvDt
[ ] 2/1 2/1,2/1,2/1,2/1,1 2/1,2/1, |)( + +++++ ++ ++= n kjizyyzHyzn kjyzn kjyz vDvDt
for the stresses.
In these equations, the subscripts and superscripts are used for the spatial indices
and time index, respectively. If the grid spacing is h and the time step is t then the
following expression
2/1,,2/1
++
n
kjxiv (3.7)
shows the x-component of velocity calculated at the point x = [i + (1/2)]h, y = jh, z =
kh, and time t = [n + (1/2)] t. Dx, D
y, D
zrepresent spatial differential operators.
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Either secondorder or fourthorder (or higher) operators can be employed. In 3-D
applications use of secondorder operators is not efficient since they require
increased number of grid points causing high computational cost. Thereby, fourth
order operators are preferred in 3-D simulations. Considering this, I used a fourth
order operator for the spatial derivatives and a secondorder operator for the time
stepping, O( 42 , xt ) (see Appendix A). The following equations defines the
effective media parameters, used in equations (3.5) and (3.6):
2,,1,, kjikji
x
bbb
++=
2,1,,, kjikji
y
bbb
++= (3.8)
21,,,, ++= kjikjiz
bbb
for the buoyancy, and
( ) 1,1,1,1,,,1,,4
/1/1/1/1
++++
+++= kjikjikjikjiHxy
( ) 11,,11,,,,1,,4
/1/1/1/1
++++
+++= kjikjikjikjiHxz
(3.9)
( ) 11,1,1,,,1,,,4
/1/1/1/1
++++
+++= kjikjikjikjiHyz
for the rigidity. The expressions in equation (3.9) are harmonic averaging of the
shear modulus. The use of effective media parameters in the staggered-grid
formulation (Randall et al., 1991) generates more accurate results and also ensures
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numerical stability in case of an interface with large media contrast intersecting the
free surface (Graves, 1996).
3.4. Source Implementation
In velocity-stress staggered-grid finite difference method, implementation of
source can be carried out using either the velocity components (e.g., Yomogida &
Etgen, 1993; Graves, 1996) or the stress components (e.g., Coutent et al., 1995;
Olsen et al., 1995). A general approach is to use a generalized moment-tensor source
description. Using moment-tensor approach a wide range of source types from
explosion (implosion) to earthquakes can be included in simulations. In this study, I
am interested in modeling seismic wave propagation induced by earthquakes. So, I
will try to explain the representation of earthquakes in velocity-stress staggered-grid
finite-difference scheme.
Earthquakes can be described as shear dislocations along a planar fault.
Therefore, an earthquake source can be simulated by a shear fault and seismic
moment (Mo). A shear fault is described by some orientation parameters in Cartesiancoordinates. These are strike s, dip and rake . Figure (3.2) depicts these
parameters. Strike is measured clockwise round from north (0 s < 2); dip is
measured down from horizontal (0 /2) and the angle between strike direction
and slip is rake (- < ). For a reverse or a thrust fault, for example, dip is 0
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Figure 3.2. Definition of the faultorientation parameters (strike s, dip , rake )
and Cartesian coordinates (x, y, z). u is the fault slip. This coordinate system is used
in obtaining moment tensor components. (From Aki & Richards, 1980.)
ssxx MM 2
0 sinsin2sin2sincossin += ,
yxssxy MMM =
+= 2sinsin2sin2
1
2coscossin0 ,
zxssxz MMM =+= sinsin2coscoscoscos0 , (3.10)
ssyy MM 2
0 cossin2sin2sincossin = ,
( ) zyssyz MMM == cossin2cossincoscos0 ,
sin2sin0MMzz = .
Following the algorithm presented by Frankel (1993), Graves (1996) introduced a
generalized moment-tensor source description using a distribution of body forces as
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added to the individual velocity components. In his approach, an equivalent
distribution of body-force couples centered at the grid location x = ih, y = jh, z = kh
(h is grid spacing) can be defined by moment-tensor components.
Mxx(t), Mxy(t) and Mxz(t) are the moment-tensor components contributing to the x
component of the body-forces, fx. The component Mxx(t), for example, represents a
force couple with a moment arm of length h aligned in the x direction. Mxx(t)/h is the
strength of each force. Since the body force is the force per unit volume, we have
Mxx(t)/h4 by normalizing the term with the volume of the grid cell, h3. Then, we get
the equivalent body-force distribution for this component of the body force as:
fxi+1/2, j, k=( )
4h
tMxx ,
(3.11)
fxi-1/2, j, k=( )
4h
tMxx .
In a similar manner, the contributions of Mxy
(t) and Mxz
(t) to the body-force
distribution are
fxi-1/2, j+1, k =( )44h
tMxy,
fxi+1/2, j+1, k=( )44h
tMxy,
fxi-1/2, j-1, k=
( )44h
tMxy
,
fxi+1/2, j-1, k =( )
44h
tMxy,
(3.12)
fxi-1/2, j, k+1 =( )44h
tMxz ,
fxi+1/2, j, k+1 =( )4
4h
tMxz ,
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fxi-1/2, j, k-1 =( )
44h
tMxz ,
fxi+1/2, j, k-1 =( )
44h
tMxz .
The illustrations of these force distributions are shown in Figure (3.3). The
corresponding expressions for the y and z components of body forces, fy and fz are
given in Appendix B.
As I mentioned previously, source implementation is also possible via stress
components of the wave-field in staggered-grid finite-difference scheme. Using thegeneralized moment-tensor approach the implementation of the source is quite
straightforward. It is achieved by adding the term
( )3h
tMt ij&
(3.13)
to the stress tensorij(t). Here ijM&
is the ijth component of the moment-rate tensor of
the earthquake; h is the grid spacing and h3 is the volume of the grid cell. ij(t) is the
ijth component of the stress tensor at time t (Gottschmmer & Olsen, 2001). Explicit
forms of the term above are given in Appendix C.
3.5. Boundary Conditions
3.5.1. Absorbing Boundary Conditions
In the numerical simulation of wave propagation, one of the serious problems is
artificial reflection generated by the edges of the computational domain. To obtain
reliable solutions these artificial phases should be reduced. This may be achieved by
using absorbing boundary conditions. Type of such boundary conditions might be
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Figure 3.3. Representation of the body-force distribution in the x-direction (fx) based
on generalized moment-tensor source description. As shown in the figure, it is
applied to the vx component of the wave field. The vectors in each diagram indicate
the force direction, and the expression to the right of each diagram defines thestrength of the body force. Representations for fy and fz are made in similar fashion.
(From Graves, 1996.)
classified as two general catagories: transmitting (Lysmer & Kuhlmeyer, 1969;
Clayton & Engquist, 1977; Reynolds, 1978; Randall, 1988; Higdon, 1991) and
attenuating (Cerjan et al., 1985; Dablain, 1986) boundary conditions. The first
category is a derivation from various approximations of the wave equation at the
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boundary, which makes the edges of the mesh transparent to outward-moving waves.
In the second category, an attenuating region is added as a strip of nodes along the
edges of the computational domain. Waves travelling through that region are damped
by gradual reduction of the amplitudes (Cao & Greenhalgh, 1998). In the framework
of this thesis study a combination of these two boundary conditions is employed for
artificial reflection reduction. Along the borders of the domain of computation A1
absorbing boundary condition of Clayton & Engquist (1977) is used as applied to the
velocity components. The A1 boundary condition is a paraxial approximation of the
wave equation. By modeling only outward-moving energy artificial edge reflections
can be reduced. They are computationally cheap and easy to implement. They are
able to absorb energy over a wide range of incident angles. The difference equations
corresponding to A1 boundary conditions and details of their implementation are
given in Ohminato & Chouet (1997). To reduce the edge reflections further each side
of the computational domain was extended by a strip of 20 nodes, having attenuative
feature except the free surface (Cerjan et al., 1985). Within a strip both velocity and
stress components of wavefield are attenuated by means of multiplying by
exponentially decreasing terms (Hestholm & Ruud, 1994).
3.5.2. Free-surface Boundary Conditions
To model wave propagation in a semi-infinite space, we need to satisfy the free-
surface boundary conditions. When surface topography is negligible compare to
wavelength of the phases propagating areas with slowly changing topography we can
explicitly formulate the free-surface conditions using a planar free-surface
assumption (Levander, 1988; Graves, 1996; Gottschmmer & Olsen, 2001). Usuallythis is the case in 3-D earthquake simulations. Therefore, they are considered as
long-period wave propagation modeling. Numerically stable and accurate
implementation of the planar free surface can easily be achieved by explicitly
satisfying zero-stress condition at the surface (e.g., Levander, 1988; Graves, 1996).
In this section Graves (1996) zero-stress formulation will be described. Choosing
the z axis as positive downward and letting the plane z = 0 be the free surface (Figure
3. 4), the zero-stress condition is met by setting
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zz = xz = yz = 0| z = 0 . (3.14)
Since we set the free surface at vertical index k, and zz is located at the surface, then
0=kzz . (3.15)
As a result of model discretizing, we need particular values of the velocity and stress
components at and above the free-surface boundary. The following expressions are
obtained by imaging yzxzzz ,, components of the stress tensor as odd functions
around the free surface:
11 + = kzzk
zz ,
2
1
2
1+
=k
xz
k
xz , 23
2
3+
=k
xz
k
xz , (3.16)
2
1
2
1+
=k
yz
k
yz , and 23
2
3+
=k
yz
k
yz .
xx, yy, xy are not needed above the free-surface. The following difference equations
are derived by using the above relations with equations (3.2) for the velocity
components at the free-surface boundary:
[ ]kyykxxkzz vDvDvD ++
=
2,
[ ] [ ] 21
2
1+ +=+ kzxxz
k
zxxz vDvDvDvD , (3.17)
[ ] [ ] 21
2
1+ +=+ kzyyz
k
zyyz vDvDvDvD .
Here D is second-order difference operator (Appendix A). Above difference
equations can be solved to obtain the velocity components along the grid row just
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above the free surface given the interior values of vx, vy, and vz at and below the free
surface.
Gottschmmer & Olsen (2001) showed that centering the staggered wavefield
at the free surface by averaging it across the free surface produced more accurate
solutions. Therefore, seismograms for the vertical velocity component at the free
surface boundary are obtained by averaging the components above and below the
surface.
Figure 3.4. Wavefield variables in an xz plane. The zero-stress free-surface
boundary is coincident with the normal stress nodes (open circles). (From Graves,
1996.)
Figure 3.5 shows snapshots in the xz-plane of some of the wave-field components
(xx, zz, xz, vx, vz) in an infinite homogeneous medium (vp = 4000 m/s, vs = 2300
m/s, = 1.8 g/cm3
). I have used the same values of velocities and density as Graves
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(1996). The medium is excited by a pressure source. For this reason, only P-wave is
propagating in the medium.
Figure 3.5. Snapshots of some of the wave-field variables in a homogeneous
medium. Since a pressure source has been used, only P-waves are propagating in the
medium.
To test the accuracy of implementation of the planar free surface, I solved a wave
propagation problem in a 3-D half-space (vp = 4000 m/s, vs = 2300 m/s, = 1.8
g/cm3), and it is similar to Lambs problem. I used a point explosive pressure source
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located just below the free surface. It emits a 25-Hz Ricker wavelet. What is
expected by the solution of this problem is Rayleigh surface wave excitation and
generation of PS phase by P to S conversion at the free surface. Figure 3.6 shows the
snapshots of the vertical (vz) and horizontal (vx) particle velocities at times of 1.8, 2.5
and 3.1 s. In the snapshots at 2.5 and 3.1 s, Rayleigh wave propagating along the
free surface and propagation of the PS phase through the medium are clearly seen in
each component.
Figure 3.6. Snapshots of horizontal and vertical components at 1.8, 2.5 and 3.1 s.
Rayleigh wave excitation and generation of converted phase PS by using a pressure
source located just below the surface are very clear.
A more quantitative comparison of the free surface condition implementation is
given in the figure below (Figure 3.7). Synthetic seismograms obtained by staggered-
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grid finite-difference scheme are compared with those obtained by analytical
solution. Again a half- space model (vp = 4000 m/s, vs = 2300 m/s, = 1.8 g/cm3)
was used. The seismograms were calculated in an observation point on the surface at
a horizontal range of 20 km. An explosion source was placed at the depth of 0.5 km
from the surface. The source time function was a triangle, which is 1 sec wide.
Numerical solutions have carried out using a grid spacing of 0.25 km and a time step
of 0.025 s. Analytical solution of the problem have been obtained by a frequency-
wavenumber (FK) integration technique (e. g., Wang & Herrmann, 1980; Saikia,
1994). The seismograms have been filtered by a low-pass filter at 1 Hz. Figure 7
shows comparison of seismograms of vertical and radial components from each
method by the end of a 16-s modeling. There is a very good agreement in both
waveforms and amplitudes. The direct P-wave arrives about 5 s and a very strong
Rayleigh wave arrives about 9 s after the origin time. The misfit in the tail of the
Rayleigh wave is caused by artificial edge reflections, which cannot be suppressed
completely by the absorbing boundaries.
Using the same problem discussed above, I tested the accuracy of the generalized
moment-tensor source description scheme. I used an earthquake source located atdepth of 2.5 km. It was simulated using a dip-slip (DS) fault having the orientation
parameters (, , ) as (90, 90, 90) and a seismic moment (Mo) of 11016 N - m.
The seismograms were calculated in an observation point on the surface at a
horizontal range of 10 km. The source time function was again a 1-sec triangle.
Comparison between analytical solutions obtained by FK technique and FD scheme
is shown in Figure 3.8. Observation azimuth of each component is indicated on the
figure. There is an excellent agreement between seismogram calculated by eachmethod considering amplitudes and waveforms.
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Figure 3.7. Comparison of synthetic seismograms calculated by finite difference
(FD) and frequency-wavenumber (FK) technique. They were calculated using a half-
space model and a pressure source at the depth of 0.5 km. Comparison indicates
good agreement between the seismograms.
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Figure 3.8. Synthetic seismogram calculated by finite difference scheme utilizing the
moment-tensor source formulation is compared with that obtained by frequency-
wavenumber integration. The agreement between them is very good, and this
indicates the accuracy of earthquake source implementation algorithm.
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CHAPTER FOUR
SIMULATION STUDIES
4.1. Three-Dimensional Model for the Study Area
Earthquake simulations like the one studied within the framework of this thesis
have some requirements. Mainly, these are a three-dimensional (3-D) model of themedium in which wave propagation will be simulated, and type of source. The
question of 3-D model requires physical and geometrical parameters of the medium.
Geometrical parameters are the number of layers, thickness of the layers, topography
of interfaces, etc. Physical parameters, on the other hand, include density and seismic
velocity distributions in the model. Type of the source is to define what kind of
faulting mechanism generates earthquake.
To construct a 3-D model, I subdivided the study area into four regions. These are
the Bornova basin (it also includes the downtown area of the city), Balova area,
zmir Bay, and KaryakaBostanl area (Figure 4.1). Each area was studied
separately and then the results were combined to obtain a global model for the study
area. Since I carried out a lowfrequency wave propagation simulation and I am
mainly interested some broad features in the study area which are observable in the
frequency range up to 1 Hz, I assumed a simplified twolayer model: a sedimentary
layer with low velocity underlaid by a high velocity basement. On the other hand,
our limited knowledge of both the subsurface structure and velocity distribution does
not allow building a more complex model. Use of a simplified model is also a
common approach in such modeling studies (e.g., Frankel & Vidale, 1992;
Yomogida & Etgen, 1993; Frankel, 1993; Olsen et al., 1996). Data used for
constructing a reliable 3-D model are based on the wells drilled for water and
geothermal explorations by DSI (The State Hydrology Department), MTA (The
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Directorate of Mineral Research and Exploration) and private companies and some
limited seismic experiments in the zmir Bay carried out by Institute of Marine
Sciences and Technology of Dokuz Eyll University.
In the Bornova basin the main source of the data comes from the wells drilled for
water exploration by DSI and some private companies. They are in the depth range
of 100-350 m. Especially, a study known as The zmir Water Project carried out in
1971 by DSI yielded valuable data for subsurface structure in the Bornova basin, and
I mainly used this data set. In the Balova area, there area number of wells drilled for
geothermal energy by MTA as the region is one of the most important geothermal
fields in the western Anatolia. They have depths ranging from 100-700 m. Thus our
knowledge of the subsurface in the area is based on these drilling works. These wells
are divided into three groups as shallow production wells, gradient wells for
temperature measurements and deep production wells. Considering the vertical
extent of the model, I preferred to use the gradient and deep production wells.
Although we have information on broad layering and seismic velocities in the bay of
zmir based on seismic studies, our knowledge of depth and topography of interfaces
is not satisfactory. Seismic experiments reveals four different geologic units in thebay area (Ulu & zdar, 1988; Gnay, 1998); these are together with corresponding
average P-wave velocities:
Quaternary sediments (1700 m/s), Neogene sediments (2000 m/s), Neogene volcanic facies (2600 m/s), Cretaceous flysh (3200 m/s).
In the KaryakaBostanl area, I mainly used the data from wells drilled by privatecompanies for engineering purposes. The well coverage in the area is not satisfactory
and most of them do not penetrate the basement. Actually this was a common
disadvantage of developing a model based on information from wells.
Figure 4.1 shows the map of basement depth in the study area. The model covers
an area of 15 (N S) x 27 (E W) x 7 (Depth) km. Due to the computational
restrictions, I limited the vertical extent of the model to 7 km. As seen from the map,
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the model mainly comprises the metropolitan area of the city. The topography of
surrounding hills is not included. The maximum basement depth is in the bay area
with a value of > 400 m. The part of the basin in the Bornova plain (i.e., the eastern
end of the basin) is characterized by values of depth to bedrock ranging from 100 m
to 300 m. It is deeper in the south than that in the north. This reveals halfgraben
feature of the basin. This is a common characteristic of the grabens in western
Anatolia (Ylmaz et al., 2000). This also implies that the southern border of the basin
is more active compared to the northern border. As mentioned previously, the
southern border is formed by the zmir fault.
Considering the seismic refraction experiments carried out in the zmir bay, I
assigned a P-wave velocity of 2000 m/s, and density of 2.0 g/cm3 for the sedimentary
layer of the model. The refraction experiments indicate a P-wave velocity ranging
from 1700 m/s to 2000 m/s in sedimentary units. These studies also give an average
P-wave velocity of 3200 m/s for the Cretaceous flysh, which is considered as the
basement rock. Therefore I assumed the basement to have a slightly higher velocity
of 3500 m/s, and a density of 2.6 g/cm3. The value (2000 m/s) assigned for the
sedimentary unit is relatively higher. The reason for choosing this value is to reducethe number of grid points used in simulation. Use of lower velocities requires smaller
grid spacing, and this causes an increase in grid dimensions. Because of our limited
computational power relatively high velocity was preferred. The velocities are
uniform within each layer. That is, no velocity gradient is taken into account in the
model. I adopted density values for the units from literature. S-wave velocities are set
to be 3 times lower than the P-wave velocities. A constant grid spacing of 150 m is
employed for both the horizontal and vertical directions. This yielded 141 x 221 x 65(= 2,025,465) grid points.
4.2. Seismic Source Used in Simulations
Even though we have no enough seismological observations for the activity of the
fault, historical records of the seismicity of the city indicate some major events likely
related with the zmir fault. The event of 10 July 1688 caused a general sinking of
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the ground by about 60 cm and the seashore advanced inland. The shock almost
ruined the city. Based on the damage in the fort of Sancak Burnu (Yenikale), the
epicenter of the event is assumed to be near Sancak Burnu peninsula (Ergin et al.,
1967; Ambraseys & Finkel, 1995). This peninsula is situated on the delta developed
on the hanging wall of the zmir fault between Balova and Narldere (see Figure
2.5). Also the earthquake occurred on 4 April 1739 is taken as an event having the
epicenter in the Gulf of zmir (Ambraseys & Finkel, 1995). As a result of the
earthquake, the delta at the mouth of the Gediz River submerged, and some other
morphological changes occurred. Again the city experienced widespread damage.
Another destructive shock of the citys history took place in the July of 1778. The
city was damaged almost totally and some morphological changes were again
reported (Ambraseys & Finkel, 1995, p. 156). Both heavy damage in the city and
morphological changes stress the possibility of these earthquakes being related with
the fault systems in the citys metropolitan area. As mentioned above, the zmir fault
is more active, and it is most likely responsible for destructive seismic activity in the
citys past. Therefore, a hypothetical earthquake on the zmir fault was assumed as
the source in simulation of the wave propagation in the study area. The focal depth of
this event was set to be at 5 km, and it was considered as a point source having anormal fault mechanism. Its epicenter is shown in Figure 4.1 by a star.
4.3. Results of Wave Propagation Simulation
In the framework of this thesis study, 3-D simulation of seismic wave propagation
in the study area is studied by two different approaches to seismic source. In the first
approach, seismic wave propagation is induced by an explosive pressure sourcewhile it is achieved by hypothetical earthquake (a dislocation source) in the second
approach. Each source has the same hypothetical coordinate and depth. The reasons
for use of a pressure source are its simplicity as a source compared with an
earthquake (considering the radiation patterns for different wave types) and to
analyze the broad features of the basins response to wave propagation by means of a
simple source. Analysis of wave propagation using such simplifications is common
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