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Numerical Modeling of Tsunami Waves Associated With Worst Earthquake Scenarios of the Makran
Subduction Zone in the Jask Port, Iran Akbarpour Jannat, Mahmood Reza*1; Rastgoftar, Ehsan1
Iranian National Institute for Oceanography and Atmospheric Science (INIOAS), Tehran, IR Iran
Received: June 2015 Accepted: November 2015
© 2015 Journal of the Persian Gulf. All rights reserved.
Abstract The recent studies show that the past researches may have significantly underestimated earthquake and tsunami hazard in the Makran Subduction Zone (MSZ) and this region is potentially capable of producing major earthquakes. In this study, the worst case possible earthquake scenarios of the MSZ are simulated using fully nonlinear boussinesq model to investigate tsunami hazards on the Jask Port, one of the most important southern coastal areas of Iran. The 9.1Mw and 8.7Mw earthquakes which respectively, represent the rupture of about full and half length of the MSZ plate boundary, have been considered in the modeling. The global and local numerical simulation were conducted based on 1-minute and 3-arc sec resolution bathymetry data, respectively, in order to capture tsunami generation, propagation and inundation at the Jask Port. Results show the water subsidence is firstly obsereved along the Jask Port coastlines just after the earthquake occurrence, which can alert residents as a natural warning sign. Model results also reveal that due to the 9.1Mw earthquake and the 8.7Mw western Makran earthquake, the most coastal areas around the Jask Port are inundated by tsunami waves. However, the tsunami run-up is not observed when the 8.7Mw earthquake occurs at the eastern segment of the MSZ because the tsunami waves almost propagate in the north-south direction, perpendicular to the Makran fault and it causes a little effect of the tsunami attack on the western coast of Makran. Therefore, the most crucial factor that determines the tsunami risk at the Jask Port is the location of earthquake focal points in the Makran region.
Keywords: Makran Subduction Zone, Tsunami, Jask Port, Numerical model, Inundation
1. Introduction
Following the catastrophic Indian Ocean tsunami in December of 2004, which resulted in fulmination to more than 225,000 humans live and homelessness of more than one million people (Geist, Titov et al. 2006) and 2011 Japan tsunami which caused
indescribable damage and casualties, paying more serious attention to this phenomenon and to assessing the vulnerability of different coasts around the world, especially for marginal Indian Ocean countries like Iran, is required. Definitely, Makran tsunami in 1945 and powerful tsunami of Indonesia in 2004 are not the first or the last such occurrences in the region. Indeed, the behaviour of three Eurasian, Indian and
Journal of the Persian Gulf
(Marine Science)/Vol. 6/No. 22/December 2015/13/35-48
* Email: [email protected]
Akbarpour Jannat and Rastgoftar / Numerical Modeling of Tsunami Waves Associated…
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Arabian tectonic plates indicates that the recurrence
of tsunami in this zone is quite conceivable
(Ambraseys and Melville 1982). Tsunami hazard
assessment in any particular region and its irreparable
losses requires the compilation and analysis of past
tsunami records. Naturally, a better understanding of
the tsunami vulnerability of any region will not only
be crucial for all aspects of regional development,
including land-use and urban activities, but also for
estimating associated social and economical losses in
the aftermath of such events (Heidarzadeh et al. 2008).
Therefore, cataloguing the history of tsunami
occurrences around the world is a well-heeded
international practice.
Although tsunamis can be generated by variety of
different sources like earthquakes, submarine
landslides, volcanic eruptions and meteorite impact, but
subduction zones earthquakes are known as the most
common source of tsunamis. However, it should be
noted that usually earthquakes that take place along the
interface between the tectonic plates can lead to
tsunami formation. For example, the 2012 huge
earthquake occurred close to epicentre of the 2004
Indian Ocean earthquake was out of subduction zone
and did not cause considerable disturbance at ocean
surface; while the 2004 Indian Ocean earthquake
occurred inside the subduction zone, between Sunda
and Indian plates, generated huge tsunami that
devastated the surrounding region and caused about
230,000 losses of lives.
The Makran Subduction Zone (MSZ) is a
tsunamigenic narrow region extended from the Strait
of Hormuz at the end of Zindan-Minab fault in Iran
to the Ornach-Nal fault near Karachi in Pakistan. It is
stretching about 900 km (Heidarzadeh, et al. 2008)
due to reconstructions occurring among three
tectonic Eurasian, Indian and Arabian plates (Fig.1).
The rate of convergence along the Makran boundary
increases slightly from the west towards the east
(DeMets, Gordon et al. 1990), and the mean
subduction rate at the MSZ is about 19.5 mm/y
(Vernant, Nilforoushan et al. 2004). According to
other subduction rates related to different zones, such
as the Tonga Subduction Zone between Fiji and
Pacific plates equalling 160 mm/y (Bevis, Taylor et al.
2002), Japan Subduction Zone among Pacific and
Eurasian and Philippine plates at 80 mm/y (Kawasaki,
Asai et al. 2001), Sumatra Subduction Zone among
Australian, Indian and Eurasian plates amounting to
65 mm/y (Gahalaut and Catherine 2006), the MSZ is
characterised as a relatively slow moving subduction
zone. From the seismicity point of view, in the MSZ
large and shallow earthquakes are common which can
be regarded as a partial evidence for the tsunami
generation potential associated with order of
magnitude 8 earthquakes with an approximate average
return period of 100 to 250 years (Ambraseys and
Melville 1982; Heidarzadeh et al. 2008).
Fig. 1: Tectonic map of the MSZ at the northwestern Indian Ocean (Heidarzadeh et al., 2008)
Journal of the Persian Gulf (Marine Science)/Vol .6/No .22/December 2015/13/35-48
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Few references based on historical reports
document that quite a number of tsunamis have
occurred associated with different sources until 1945
A.D. in the MSZ. Heck (1947) provides a list of
global tsunamis generated from 479 B.C. to 1946
A.D., some of which were related to tsunami
occurrences in the Arabian Sea and adjacent regions.
Berninghausen (1966) presents another list of tsunami
events including three from the West coast of India
and the Arabian Sea. As an important tsunami
resource, Page (1979) describes existing evidence for
the recurrence of large-magnitude earthquakes along
the MSZ and predicts that the 1945-type earthquakes
can occur with a return period of about 150 to 250
years within the Eastern Makran. Ambraseys and
Melville (1982) submitted the results of studies related
to the historical earthquakes inside Iran. Another list
compiled by Murty and Rafiq (1991) used a variety of
sources in the Indian Ocean region from 326 B.C. to
1974 A.D., as well as Byrne et al. (1992), which
treated great thrust earthquakes along the plate
boundary of the MSZ. The threshold tsunami
generation potential of the region was studied by
Pararas-Carayannis (2006) along the MSZ.
The results of recent studies carried out based on
thermal modeling of the MSZ by Smith et al (2013),
shows that past assumptions may have significantly
underestimated the earthquake and tsunami hazard in
the MSZ; and it is potentially capable of producing
major earthquakes, up to Mw 8.7-9.2. Therefore, the
probability of recurrence of earthquake and tsunami
in the Makran zone is relatively high and the tsunami
can be considered as an obvious hazard for
neighbouring countries, like Iran and Oman.
Among the existing approaches to study tsunamis,
the use of Paleotsunami data, historical tsunami
records, online DART systems, local tide gages and
numerical modeling, using historical data and
numerical modeling due to being economically
advantageous are predominant to investigate tsunami
behaviour after occurrence. Numerical modeling of
tsunami in the MSZ provides insight into past events
and simulates possible future scenarios. Recently,
some numerical works have established in the MSZ to
study the generation and propagation of the tsunami
waves (Heidarzadeh et al., 2009; Heidarzadeh and
Kijko, 2011). In particular, the determination of the
potential run-up values and areas prone to inundation
via numerical modeling from a local or distant tsunami
is recognized useful, since data from past events is
usually insufficient (Rafi and Mahmood 2010).
The Jask Port is one of the most important coastal
areas of Iran, regarding its resident population and
strategic situation. It is located at the west of Makran
zone and can be affected by possible tsunamis. In
recent years, within the national development plans
of Iran, major ongoing port construction activities
have been undertaken for expansion of the Jask Port
as a portal on the transit corridor. Hence, the tsunami
hazard assessment is important in this region for
future development. In order to assess tsunami
hazard, the impact and run-up of the MSZ seismic
tsunamis on the Jask Port is simulated in this study.
However, the certainty of tsunami occurrence is
undeniable in the MSZ, and therefore, any
substantial investment in the development of the port
facilities is contingent upon a thorough investigation
of potential tsunami impacts.
The current study present the results of the
performed numerical modeling of tsunami propagation
as well as coastal zone inundation around the Jask due
to proximity to the MSZ based on evaluating three
plausible tsunami scenarios of varying consequences.
In the defined scenarios for tsunami modeling,
earthquakes having moment magnitude of 9.1Mw
and 8.7Mw are considered; which are equivalent to
the rupture of about full and half length of the plate
boundary in the MSZ. For this purpose, the open
source numerical model, GEOWAVE is applied as a
comprehensive numerical model. GEOWAVE is a
combination of TOPICS and FUNWAVE models, in
which the tsunami generation is simulated by
TOPICS and then tsunami propagation and run-up
are simulated by FUNWAVE. Unlike previous
simulations of Makran tsunamis (Rajendran et al,
2008; Neetu et al., 2011), containing just one large-
scale global model, in this study one high resolution
local model is defined around the Jask Port in order
to capture tsunami run up accurately.
Akbarpour Jannat and Rastgoftar / Numerical Modeling of Tsunami Waves Associated…
38
2. Numerical Model
Numerical modeling is an impressive approach to
studying the events of tsunami, particularly for the
future hazards. Numerical modeling of seismically
induced tsunamis may be organized into the following
three phases: generation, propagation and run-up
(inundation). The generation phase involves modeling
an underwater earthquake source and translates its
effects into an initial free surface water-level
displacement and an associated velocity field. The
second phase consists of propagating the generated
tsunami across Deep Ocean/Sea. Finally, inundation
associated with the run-up phase simulates the shallow
ocean zone behaviour of the tsunami in order to predict
coastal flooding and inundation. The interaction
between the waves and the shoreline is considered for
calculating wave propagation over dry land.
The achievement of tsunami studies depends on
the combination of precise tsunami sources, an
advanced tsunami propagation and finally inundation
model. As yet, many numerical models have been
modified or lately developed to impressively and
carefully study the generation, propagation, run-up
and inundation of tsunami. In this study, one of the
tsunami models, GEOWAVE, is adopted to study the
generation, propagation and inundation of potential
tsunami generated from MSZ. GEOWAVE is formed
by merging the Tsunami Open and Progressive Initial
Conditions System (TOPICS) with the Fully Nonlinear
Boussinesq water wave model FUNWAVE. An
accurate run-up and inundation by using a slot
method and wave breaking with a dissipative
breaking model were implemented in the model.
This model has capability of simulation of the whole
life range of tsunami from generation, propagation
till inundation. This model has been validated with
analytical solutions and experimental studies (Wei
and Kirby 1995; Wei et al. 1995; Chen et al. 2000;
Kennedy et al. 2000), and also benchmark problems
related to several historical events including the 1946
Unimak, Alaska; the 1946 Skagway, Alaska and the
1998 Papua New Guinea (Watts et al., 1999;Watts et
al. 2003, 2005; Waythomas and Watts 2003; Day et
al. 2005; Ioualalen et al. 2006; Grilli et al. 2007) and
indicated satisfactory achievements in comparison
with either field or satellite observations and tidal
gauge measurements. Figure 2 shows the global and
local domain of tsunami modeling. The data of the
Makran 1945 tsunami event authorize us to validate
the numerical model of the tsunami propagation.
Because of the lack of persistent sea-level
measurements of the tsunami, the sea-level
observations of the Makran 1945 tsunami from the
tide gauge at Karachi in Pakistan is persumed for
numerical model validation. The maximum wave
height of tsunami recorded at Karachi was 44 cm in
which compatible with the existent numerical model
that calculated 50 cm wave height at the same station.
Compatible with the reports by Neetu et al. (2011) and
Rajendran et al. (2008), the present model result
indicates the wave height of 250 cm in Pasni.
Fig. 2: Bathymetry of studying domains for Global (a) and Local (b) models
56 E 58 E 60 E 62 E 64 E 66 E 68 E
22 N
24 N
26 N
28 N-4500-4000-3500-3000-2500-2000-1500-1000-500 0 50010001500200025003000
57.6 57.7 57.8 57.9 58
25.3
25.4
25.5
25.6
25.7
-500
-400
-300
-200
-100
010
0
20
0
30
0
40
0
50
0
60
0
70
0
80
0
90
0
10
00
(a) (b)
-4.5 -4 -3.5 -3 -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 3 -1000 -800 -600 -400 -200 0 200 400
Bathymetry (km) Bathymetry (m)
Jask
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2.1. Model Grids
According to the long wavelength of tsunami waves,
especially in deep water which is usually in order of
tens of kilometers, generation and propagation of
waves can be simulated based on coarse hydrographic
data, typically in the order of kilometers; but accurate
calculation of tsunami run-up requires much finer
topography and hydrographic data since the behaviour
of tsunami waves strongly depends on the bathymetric
and topographic features near the coastal area.
The present numerical modeling is performed in
two distinguished grids of bathymetric and
topographic data; The global type grid (refers to
global model) which covers the entire region of
Oman Sea where the fault plane is located, with 1-
minute grid resolution, and the local type grid (refers
to local model) covers the entire Jask port and its
surrounding areas with 90 m grid resolution. The
high resolution bathymetric and topographical data
was achieved from Community Model Interface for
Tsunami (ComMIT) database which is approved by
NOAA, and used to obtain the applicable details of
run-up and inundation in the Jask area for possible
tsunami events. The initial wave of tsunami is
generated in the global model and then it propagates
from MSZ to the coastlines. The local model used
when the waves reach to areas that have high
significance for calculation of tsunami run-up. When
the waves enter to the vicinity of local models, the
global model is stopped and the local model is
begun. Free surface elevation and water velocities
which are achieved at the final time step of global
model, are constrained to the local model as the
initial conditions.
2.2. Governing Equations
According to the Wei et al. (1995), the fully
nonlinear Boussinesq equations with considering
breaking, bottom friction and shoreline moving
boundary effects have been applied in this study. The
governing volume conservation and momentum
equations are as follows,
(1)
( ) (2)
in which ( ) is water surface elevation, h(x,
y) is the local mean water depth; is horizontal
gradient and M is depth-integrated horizontal volume
flux which is given by Eq. (3).
In Eq.(3), is horizontal velocity at an elevation
taken to be = −0.531h. Eq.(4) and Eq.(5)
represent dispersive effects, and . The forces
related to the wave breaking and bottom friction are
explained by and respectively. A and B are
functions of velocity given as Eq. (6) and Eq. (7).
(Grilli et al., 2007; Kennedy et al., 2000)
(3)
(4)
(5)
. (6)
. ( ) (7)
For moving boundary condition in the shoreline, a
porous slot method was implemented by inserting
factors and as follows;
(8)
(9)
Here, is the slot layer depth which must be
deeper than the depth of maximum wave rundown
during a simulation. The selection of is explained
by Kennedy et al. (2000). According to the number
of tsunami run-up events investigated by Watts et al.
(2003), Day et al. (2005) and Grilli et al. (2007),
Μ = uα + α
2
2
1
6(h2 h + 2) hA + α +
1
2(h ) hB
V1 = α
2
2 hAt + α hBt h
2
2At + Bt
V2 = ( α )(uα . ) +1
2( α
2 2)(uα . )
+1
2 ( + )2
= 1 . ≥
𝛿 + (1 𝛿)𝑒𝜆( )/ 0 . ≤
= ( ) + 𝛿( + 0) +
(1 𝛿) 0
𝜆 1 𝑒 𝜆(1+ 0 ) . ≥
𝛿( + 0) +(1 𝛿) 0
𝜆𝑒𝜆(
) 0 1 𝑒 𝜆(1+ 0 ) . ≤
Akbarpour Jannat and Rastgoftar / Numerical Modeling of Tsunami Waves Associated…
40
parameter values =0.08 and =25 are used for run-
up calculation.
The major advantage of a Boussinesq wave
propagation model over nonlinear shallow water
wave model is considering the horizontal velocities
and also vertical acceleration variations along depth
(Watts et al., 2003). Moreover, the equations include
eddy viscosity terms to model the dissipation caused
by wave breaking.
3. Tsunami Simulation for Different Scenario
Magnitudes
3.1. Earthquake Scenario
Earthquake scenarios (magnitude and source zone)
must be defined for any tsunami simulations. For the
9.1Mw earthquake, the MSZ should experience the
full rupture to obtain relevant seismic moment; while
in order to produce the moment magnitude of 8.7Mw
about half of the plate boundary should be faulted. In
the latter case, the western or eastern part of the MSZ
can be faulted, according to the earthquake epicenter.
Since estimation of future earthquake place is
impossible, the 8.7Mw earthquake is considered in
intended scenarios both at the western and eastern
segments of the MSZ. So, for modeling of Makran
tsunamis three scenarios are considered totally, as
presented in Table 1. In each scenario the source
parameters, defining dimensions of faulted area, are
estimated using empirical relationships presented by
Wells and Coppersmith (1994) based on source
parameters of 244 historical earthquakes. After initial
estimation, the source parameters are modified
slightly to satisfy the relation between moment
magnitude and seismic moment (Eqs. 10 and 11).
(10)
(11)
Where Mw is moment magnitude (dimensionless
number), M0 is seismic moment in N m, is rigidity
of the earth (assumed 3×1010 Nm-2), L and W are
fault length and width respectively and is the
displacement on the fault surface.
3.2 Source Models
The determined source parameters are inserted to
TOPICS, tsunami generator model of GEOWAVE, and
it calculates initial disturbance of ocean surface using
Okada's elastic deformation source model (Okada,
1985). Calculated free surface elevations actually are
seabed vertical displacements transferred to ocean
surface identically, because of instantaneous generation
of seismic tsunamis. As expected, maximum values of
the initial wave crest and trough are observed during
scenario 1 in which the 9.1Mw earthquake leads to
about +8m uplift and -6m subsidence of the ocean
surface (Fig.3a). Due to variation of the fault strike
between western and eastern part of the MSZ (Byrne et
al, 1992), the full rupture of the MSZ in scenario 1 is
divided to two separated segments.
Table 1: Characteristics and source parameters of scenarios for MSZ earthquakes
Scenario
number
Earthquake moment
magnitude
Faulted area Source parameters
Fault length (km) Fault width
(km)
Fault displacement
(m)
1 9.1 All part of the MSZ 900 70 25
2 8.7 Western part of the MSZ 500 50 14
3 8.7 Eastern part of the MSZ 500 50 14
6)(
3
2010w MLogM
LWM 0
Journal of the Persian Gulf (Marine Science)/Vol .6/No .22/December 2015/13/35-48
41
Fig. 3: Snapshots of global tsunami simulations at times t = 0, 6, 12 and 18 min after the earthquake due to the Mw 9.1 magnitude
3.3. Global Model
Free surface elevations obtained from TOPICS
feature initial wave of tsunami and provide initial
condition of the tsunami propagation model,
FUNWAVE; which is based on fully nonlinear
Boussinesq equations developed by Wei et al. (1995).
The major advantage of a Boussinesq wave
propagation model over nonlinear shallow water wave
models is that horizontal velocity variations along depth
and also vertical acceleration are considered (Watts et
al., 2003). Moreover, FUNWAVE equations include
eddy viscosity terms to model the dissipation caused by
wave breaking. The governing equations are solved
first at global model grid points having 1-arc min
resolution. Thus, the propagation of tsunami waves
from source to near the coasts is simulated, as
illustrated in Fig. 3. It is observed that the tsunami
waves dissipate firstly, at the beginning of propagation;
but they amplify again approaching the coast due to
water depth reduction and shoaling effect. The waves
propagate perpendicular to the faulted area mainly in
the north-south direction, unlike landslide tsunamis
propagate radial and identically in all directions
(Soltanpour and Rastgoftar, 2011). Figure 3 also shows
that along the coastlines locating north of the MSZ
falling water is first observed and then main waves of
tsunami arrive; while southern coastlines of the MSZ,
like Oman, first receive tsunami positive waves.
3.4. Local Model
Free surface elevation and water horizontal
velocities of global model are transferred to the local
model as the initial conditions (Fig. 4). It should be
noted that the initial conditions of global model also
include water velocities, but they are set to zero;
because no initial velocities are assume for the
58 E 60 E 62 E 64 E 66 E 68 E
22 N
24 N
26 N
28 N
58 E 60 E 62 E 64 E 66 E 68 E
22 N
24 N
26 N
28 N
58 E 60 E 62 E 64 E 66 E 68 E
22 N
24 N
26 N
28 N
58 E 60 E 62 E 64 E 66 E 68 E
22 N
24 N
26 N
28 N
t=0 t=6min
t=12min t=18min
(a) (b)
(c) (d)
-6 -4 -2 0 2 4 6 8 10 12 14
Free Surface Elevation (m)
Akbarpour Jannat and Rastgoftar / Numerical Modeling of Tsunami Waves Associated…
42
earthquake tsunamis.
After providing the required initial conditions, the
Boussinesq equations of FUNWAVE are solved at
this time in the local model domain. The total
number of grid points in the local model area is
554,238 (751×738) according to 3-arc sec (about 90
m) bathymetric data extracted from ComMIT model
data bank. The time step of the local model is
determined 0.23 s to satisfy the stability conditions; it
is clear that the global model has greater time step
(2.43 s) according to larger mesh size. Finally, the free
surface elevation and horizontal velocities are
calculated for all time steps and the run-up of tsunami
on coasts of the Jask Port is computed (Fig. 5).
Fig. 4: Local model initial conditions for scenario-1; (a) free surface elevation, (b) longitudinal velocity and (c) latitudinal velocity
Fig. 5: Tsunami induced inundation at Jask coasts for scenario-1 at times t= 18, 20, 22, 24, 26 and 28 min after the earthquake
57.6 57.7 57.8 57.9 58.0
25.25
25.35
25.45
25.55
25.65
25.75
57.6 57.7 57.8 57.9 58.0
25.25
25.35
25.45
25.55
25.65
25.75
-0.2 0 0.2 0.4 0.6 0.8 1 1.2
57.6 57.7 57.8 57.9 58.0
25.3
25.4
25.5
25.6
25.7
-2 -1 0 1 2 3 4 5 -0.8 -0.4 0 0.4 0.8 1.2 1.6 2 2.4
Free Surface Elevation (m) U Velocity (m/s) V Velocity (m/s)
(c)(b)(a)
25.6
25.7
57.7 57.8 57.9
25.6
25.7
57.7 57.8 57.9 57.7 57.8 57.9
t=18min t=20min t=22min
t=24min t=26min t=28min
-10 -8 -6 -4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24 26
Free Surface Elevation (m)
(a) (b) (c)
(d) (e) (f)
Journal of the Persian Gulf (Marine Science)/Vol .6/No .22/December 2015/13/35-48
43
4. Results and Discussion
Three virtual gauges were deployed along the Jask
Port coastline to extract the time series of tsunami.
The location and water depth of the gauges are
presented in Table 2. The gauge 'H' located at western
coast of the port around the harbor, while the gauges
'S' and 'A' are at the eastern coast near the soccer
stadium and the airport, respectively (Fig. 6). Figure 7
shows the wave heights time series extracted during
the scenarios 1 and 2; while the time series of the
scenario 3 are presented in Fig. 8.
Table 2: Locations of virtual tidal gauges
Gauge No. Longitude (°E) Latitude (°N) Depth (m)
A 57.8000 25.6516 0.5
H 57.7672 25.6460 0.6
S 57.7720 25.6439 0.7
Fig. 6: Location of virtual tide gauges 'A', 'H' and 'S' for wave height time series analysis (filled circles)
Fig. 7: Modeled time series of water surface elevations at various locations along the Jask coast for the Mw 9.1 (solid line) and the Mw
8.7 western Makran (dashed line) tsunamis
Akbarpour Jannat and Rastgoftar / Numerical Modeling of Tsunami Waves Associated…
44
Fig. 8: Modeled time series of water surface elevations at various locations along the Jask coast for the Mw 8.7 eastern Makran tsunami
Figures 7 and 8 demonstrate, as expected, the
maximum wave heights are observed in scenario 1 that
represents the largest earthquake. During scenario 3
tsunami waves appear at all the gauges much smaller
than two other scenarios. For example, the gauge 'S' has
recorded about 14 and 10-meter height waves in
scenario 1 and 2, respectively; but in scenario 3 the
maximum wave height observed in this gauge is less
than 0.4 meter. The reason is that when earthquake
occurs at the eastern part of the MSZ, the tsunami
waves reaches slightly along the western coasts of the
Makran zone, like Jask Port; because the tsunamis
caused by earthquakes spread perpendicular to the
source fault in the north-south direction in the MSZ.
Figure 7 reveals that in scenarios 1 and 2 the time
between earthquake occurrence and arrival of tsunami
waves is about 20 minutes. This shortness of time
makes the tsunami warning process for the Jask Port
very difficult. On the other hand, the negative wave of
tsunami is first observed along the Jask Port coastline
and the sea bottom becomes visible at shallow areas
when the negative wave height is more than the water
depth. This situation can be seen in Fig. 7 where there
are no data displayed, mostly at the beginning of the
time series. Residents of the port can use this natural
warning sign and be aware of the event before arrival
of the destructive waves. The figure also shows the
gauges 'S' and 'A' have recorded the waves having
approximately the same height, whereas the gauge 'H'
has experienced waves with smaller heights. This can
be attributed to the location of gauge 'H' that is at the
western coast of the port and so receives the diffracted
tsunami waves.
Maximum tsunami heights recorded during
scenarios 1 and 3 are presented in Fig. 9. This figure
also displays the tsunami inundation extent for all the
scenarios (The tsunami inundation in scenario 2 has
been specified by bold line). It is observed that the
waves due to the 8.7Mw eastern Makran earthquake
(scenario 3) cannot run-up on the Jask Port at all.
However, the waves caused by the 9.1Mw earthquake
(scenario 1) and the 8.7Mw western Makran
earthquake (scenario 2), not only inundate the port
completely, but also capture on farther inland areas.
Therefore, it can be concluded that the most crucial
factor determines the tsunami risk in the Jask Port is
the location of the Makran earthquakes. In the other
words, the huge earthquakes occur at east of the
MSZ can be considered as small hazard for the Jask
Port, while the occurrence of earthquakes having less
magnitudes at west of the MSZ leads to the high
waves devastate the port seriously. While it was
previously thought that the tsunami effect depends
essentially on the earthquake magnitude. According
to Fig. 9, the inundation extent of tsunami is a
function of the maximum tsunami height. In scenario
3, where no inundation takes place, the maximum
water level around the coastline of the Jask Port is
less than 1m; whereas it is between 10 m and 15 m in
scenario 1. Although the most coastal areas around the Jask
Port are inundated by the tsunami waves in scenarios
1 and 2, but there are regions where are safe against
the tsunami waves. These regions are shown by circle
in Fig. 9. As adjacent areas of the Jask Port are
considered for development in future plans of the
Makran zone, the estimated safe regions seem
advisable regarding to tsunami threat.
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45
Fig. 9: Maximum computed free surface elevation in the studying domain produced by (a) Mw 9.1 and (b) Mw 8.7 eastern Makran
earthquakes. Bold line represents the inundation line of Mw 8.7 western Makran earthquakes. The circles mark the regions are safe
against the tsunami waves
5. Conclusions
Largest possible earthquakes of the MSZ were
simulated to investigate tsunami hazards on the Jask
Port. The 9.1Mw and 8.7Mw earthquakes, featuring
respectively the rupture of about full and half length
of the MSZ's plate boundary, were assumed in defined
scenarios. The smaller earthquake was considered
both at the western and eastern segments of the MSZ.
GEOWAVE numerical model was employed to
simulate tsunami generation, propagation and
inundation. Unlike previous studies, containing just
one large-scale global model, in this study a small-
scale local model was also defined based on 3-arc
sec resolution bathymetry data, in order to capture
tsunami run-up on the Jask Port.
The results show that during critical tsunamis
there is a short time between earthquake occurrence
and arrival of tsunami waves (about 20 minutes).
But, along the coastlines locating north of the MSZ,
like the Jask Port, falling water of tsunami was first
observed. Residents of the Jask Port can use this
natural warning sign and vacate the port before
arrival of the destructive waves.
Model results also reveal that due to the 9.1Mw
earthquake and the 8.7Mw western Makran earthquake
the most coastal areas around the Jask Port are
inundated by the tsunami waves. However, the
tsunami run-up is not observed at all when the
8.7Mw earthquake occurs at the eastern segment of
the MSZ. When 8.7Mw eastern Makran earthquake
occurs, the tsunami waves reach slightly along
western coasts of Makran zone; because seismic
tsunamis propagate perpendicular to the source fault,
in north-south direction in the MSZ. Therefore,
unlike previously thought, the tsunami risk at the
Jask Port depends more on the location of focal
points MSZ earthquakes than their magnitudes.
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