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International Journal of Rural Development, Environment and Health Research
[Vol-7, Issue-1, Jan-Feb, 2023]
Issue DOI: https://dx.doi.org/10.22161/ijreh.7.1
Article DOI: https://dx.doi.org/10.22161/ijreh.7.1.1
ISSN: 2456-8678 ©2023 IJREH Journal
Int. Ru. Dev. Env. He. Re. 2023 1
Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/
Tsunami Hazard Analysis in Likupang Tourism Area, North
Sulawesi
Febriani Saputri1
, Ping Astony Angmalisang2
, Wilmy Etwil Pelle3
, Indri Manembu4
,
Anton Rumengan5
, Robert Bara6
, Deiske Sumilat7
1Aquatic Science Graduate Study Program, Faculty of Fisheries and Marine Science, Sam Ratulangi University, North Sulawesi,
Indonesia
2,3,4,5,6,7Faculty of Fisheries and Marine Science, Sam Ratulangi University, North Sulawesi, Indonesia,
Received: 10 Jan 2023; Received in revised form: 12 Feb 2023; Accepted: 19 Feb 2023; Available online: 25 Feb 2023
©2023 The Author(s). Published by AI Publications. This is an open access article under the CC BY license
(https://creativecommons.org/licenses/by/4.0/)
Abstract— The Likupang area, North Sulawesi is one of the super priority tourist destinations launched by the
Central Government with the marine tourism sector as the axis. On the other hand, the potential for natural
disasters originating from the sea is unavoidable so it needs to be one of the considerations in the process of
developing disaster-responsive tourist areas. A tsunami hazard analysis study is first step in disaster mitigation
planning. The study is in the form of tsunami modeling by identifying the worst possible scenario in the Likupang
area using COMMIT modeling. The modeling is able to produce parameters such as arrival time, maximum height
and tsunami inundation area. These three parameters are used as the basis for mapping the tsunami hazard map.
The modeling produces the fastest arrival time, which occurs in the first minute after an earthquake occurs. The
maximum height obtained from the modeling is 6.8 meters. The maximum inundation area reached by the
tsunami wave is 23.57 km2. The combined results of the five scenarios are presented in hazard maps. The majority
of public tourist sites are in the Warning status area, but some private resorts are still in the area with the Major
Warning status.
Keywords— Likupang, North Sulawesi, Tsunami hazard map, Tsunami modeling.
I. INTRODUCTION
One of the Ministry of Tourism programs is the
development of super-priority tourist destinations. Out
of the ten priority areas, Likupang is one of the areas
listed [1] Likupang District, located in North Minahasa
Regency, North Sulawesi Province, was selected as a
candidate for a world-class tourist area with the main
attraction of resort and cultural tourism. This theme is in
accordance with the layout of the Likupang area, which
is mostly beach and adjacent to the Wallace
Conservation Center. The tourism concept in Likupang
will develop premium and mid-range resorts, cultural,
and the development of WaIIace Conservation [2].
Indonesia as an archipelagic country with a coastline of
108,000 km is suitable as a tourist destination based on
the beach area. In addition, the added value of coastal
areas in Indonesia comes from the diversity of flora,
fauna, and the beauty of the scenery. On the other
hand, beaches also harbor latent hazards such as
tsunamis.
A tsunami is a natural disaster with little frequency but
massive impact. In 2018, tsunamis occurred in Indonesia
twice, namely in Palu, Central Sulawesi, and the Sunda
Strait. The National Disaster Management Agency noted
that the impact of the two tsunamis claimed 453 lives
and damaged property for more than 2000 housing
units [3].
Saputri et al. / Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi
Int. Ru. Dev. Env. He. Re. 2023 2
Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/
The North Sulawesi region is not an exception. In 2019,
the BMKG issued two early tsunami warnings, each in
the Maluku Sea with the same magnitude of 7.1. The
earthquake's tremors were felt in most areas of the
northern Sulawesi peninsula and caused mass panic.
The tsunami was recorded in Bitung with less than one-
meter height [4].
The development of the tourism sector is one of the
contributors to the national economy, especially in
increasing the country's foreign exchange and in the
local sphere can advance the community's economy
around tourist areas [14]. Given these important factors,
the development of the tourism sector should be
carried out with good planning to provide optimal
benefits.
The statement above reinforces the important factor in
making a disaster response system where in this
research will be carried out in the coastal area of
Likupang. The disaster response system is an integrated
system carried out when a disaster occurs to reduce the
impact caused, especially victims and then property. A
disaster response system requires comprehensive
planning starting from the potential threats to tourist
areas to produce a further consideration of decisions
taken in making a disaster response system which is
commonly referred to as a disaster mitigation plan [5]
[15].
This research will carry out a series of activities to
support decisions on disaster mitigation systems in
tourist areas in Likupang, North Sulawesi, among
others, by modeling a tsunami with several possible
worst-case scenarios that may occur around the
research area for hazard analysis based on the modeling
results in the form of arrival time, tsunami height, and
tsunami inundation.
II. METHODS
In general, the scope of the research area covers the
entire coast of the East Likupang sub-district as the
center of the tourist area. The observation points are
placed in several public and private tourist attractions
with the coordinates attached to the table 1
Table 1 The coordinate of observation point
Observation Point Name Latitude Longitude
1 Kalinaun Resort 1°37’28.009” 125°8’41.662”
2 Sampiran Beach 1°37’32.585” 125°8’49.121”
3 Paal Beach 1°39’5.17” 125°9’42.88”
4 Pulisan Jungle Beach
Resort
1°39’55.238” 125°9’48.571”
5 Pulisan Beach 1°40’56.654” 125°8’49.776”
6 Surabaya Beach 1°39’52.373” 125°6’23.378”
7 Murex Resort 1°44’8.387” 125°9’0.018”
8 Blue Bay Divers Resort 1°44’41.996” 125°9’20.959”
9 Mimpi Indah Resort 1°46’6.503” 125°9’57.794”
10 Bastianos Resort 1°44’27.24” 125°8’44.16”
11 Coral Eye Resort 1°45’4.198” 125°8’1.388”
Tsunami modeling was carried out with ComMIT.
ComMIT is a web-based community tsunami model
designed by the NOAA institution. The ComMIT system
uses a precomputed database with a user-friendly
interface and a MOST (Method of Splitting Tsunamis)
modeling base [6]. ComMIT data set comes from 2
(two) sources. First, Bathymetry of 1 arc-minutes
ETOPO1 produced by NOAA's National Geophysical Data
Center. This data has been interpolated from 60 arc-
second to 3 arc-second to match the topographic data
set. Second, the topography is derived from the CGIAR
SRTM 90m version 4 digital elevation model produced
by the CGIAR Consortium for Spatial Information.
Saputri et al. / Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi
Int. Ru. Dev. Env. He. Re. 2023 3
Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/
The modeling scenario includes five scenarios, namely
North Sulawesi subduction, Philippine subduction, West
Maluku Sea subduction, East Maluku Sea subduction,
and Sulu subduction. The magnitude of the earthquake
source is taken from various studies with the provisions
of the largest magnitude [7] [8], assuming that it will
have the worst impact in the research area. The fault
geometry parameter, namely strike (the angle formed
by the fault direction relative to the north direction
(calculated clockwise)), will be taken from the database
source from the tsunami history of each subduction
location [9]. Meanwhile, the highest values for dip and
rake were taken, namely, dip of 45° and rake of 90°,
assuming that the earthquake mechanism was purely an
upward fault. The area of the fault plane was typed
manually in the ComMIT software according to the
Scaling [10] Law, Wells & Coppersmith formula. The
scenario of the earthquake and tsunami generator is
attached in Table 2.
Table 2 Tsunami Generator Earthquake Scenario
Scenario Subduction M L (km) W (km) U (m) Strike
1a
1b
Northern Sulawesi
Northern Sulawesi
8.5 250
74
75
75
15
15
92
231
2 West Molucca Sea 8.5 324 75 15 248
3 East Molucca Sea 8.1 190 51 9 231
4 Fillipina 8.2 217 56 10 330
5 Sulu 8.5 324 75 15 314
In preparing the tsunami hazard map, the components
of the modeling results are mapped using GIS tools. The
modeling results in arrival time, tsunami height, and
tsunami inundation are then divided into 3 hazard
classes, namely major warnings, warnings, and advisory
[11], described in the Table 3.
Table 3 Components of the Tsunami Hazard Index
No Alert Status Tsunami
Wave
Height
Suggestions
1 Major
Warning
>3 meters Evacuate!
2 Warning 0.5 – 3
meters
Evacuate!
3 Advisory <0.5 meter Stay away
from beach
and
riverbank.
III. RESULT AND DISCUSSION
The arrival time of the COMMIT modeling results is
presented in Fig. 1 below.
Fig 1. Tsunami Wave Arrival Time Chart
In general, it can be seen from the chart indicated that
the scenarios that produce arrival times are sequentially
from the fastest, namely the second, first, third, fourth,
and fifth scenarios. The modeling results show that the
fastest arrival time for each observation point is in the
second scenario. The arrival time required for the
tsunami waves to reach the twelve points is 1 minute.
The second scenario is the source of an earthquake in
the western part of the Maluku Sea with an estimated
maximum magnitude of 8.5.
The modeling results cannot be proven concretely
because so far, there has been no record of past
tsunami events that hit the coastal area of Likupang.
Saputri et al. / Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi
Int. Ru. Dev. Env. He. Re. 2023 4
Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/
Considering the results of modeling that have been
carried out with an average arrival time of around one
minute at observation points, the decision to wait for an
evacuation order from the competent government is
irrelevant. The GITEWS organization in the “Tsunami
Evacuation Planning Handbook” [12] provides a solution
for self-evacuating. Self-evacuation is a community
initiative that responds to earthquakes and tsunami.
Armed with an understanding of the dangers of
earthquakes and tsunamis, people, especially coastal
areas, who feel an earthquake with a relatively strong
vibration of more than 20 seconds are urged to carry
out self-evacuation by securing themselves to a high
place.
The modeling also produces parameters for the
estimated tsunami height. The tsunami height described
in this study is focused on the maximum height
generated by the tsunami waves entering the coastal
area. The tsunami height obtained by COMMIT
modeling is presented in Fig.2.
Fig 2. Tsunami Height Chart
The maximum height obtained from the observations is
generated from the second scenario modeling, which is
in the western part of the Maluku Sea with an
earthquake magnitude of 8.5. The height obtained is in
the range of 200-600 cm.
The height of the tsunami which has a maximum
potential at the alert level accompanied by a very short
probability of arrival time are two important points for
considering what type of evacuation tends to be
recommended [16]. Horizontal evacuation which is the
type that is more familiar to the community. This type
emphasizes the strength of the furthest distance that
can be reached away from the beach with limited time
needed to reach a safe point. Meanwhile, vertical
evacuation is a type that requires a higher cost because
it is based on the construction of structures / buildings
with disaster resistance and heights that exceed the
high probability of a tsunami.
The tsunami inundation is the furthest distance traveled
by a tsunami that reaches land. Concerning an
irregularly shaped area, the COMMIT model represents
the tsunami inundation in space units (km2) regarding
grid A covering the entire research area. The following
table of tsunami inundations based on each scenario.
Table 4 Inundation Area based on Tsunami Modeling
Scenario Inundation Area
(km2
)
1 10.77
2 23.57
3 4.42
4 3.24
5 7.62
Based on Table 4 above, it can be seen that the five
earthquake sources have a probability of having a
relatively significant impact on the tsunami inundation.
The second scenario, in particular, provides the most
considerable immersion area impact. This shows that
the source of the earthquake in the second scenario has
the most significant potential to cause tsunami damage.
Tsunami inundation obtained from the modeling results
in this study does not involve land cover differences
according to the field due to modeling limitations. The
modeling is equated to one roughness model, namely
the type of soil with a value of 0.009.
Information on tsunami inundation at an advanced level
can be used as a reference as a horizontal evacuation
route, especially decision-makers can see blind spots
that are not affected by the tsunami to be used as an
efficient and effective evacuation site.
East Likupang District has 18 villages with a geographical
structure consisting of coastal villages, mainland
villages, and villages on separate islands, namely Bangka
Island [13]. The hazard level map shown in Fig 3 shows
the hazard level, which varies with the predominance of
the Alert status. Villages included in the Major Warning
level include Lihunu, Kahuku, Likupang Satu and
Sarawet. Meanwhile, the remaining coastal villages,
namely Pinenek, Runondoran, Kalinaun, Marinsow,
Pulisan, Maen, Wineru, and Kampung Ambong, are at
the Warning level.
Saputri et al. / Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi
Int. Ru. Dev. Env. He. Re. 2023 5
Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/
Fig 3. Tsunami Hazard Map of East Likupang District
The level of tsunami hazard in the East Likupang sub-
district varies from Major Warning, Warning, and
Advisory status. The tsunami hazard level is presented in
the Hazard Map with three color representations. Red
symbolizes Major Warning level status with the criteria
for a tsunami height exceeding 3 meters. Orange
symbolizes Warning level status with the criteria of a
tsunami height between 0.5 and 3 meters. Yellow
symbolizes the status of Advisory level with the criteria
of a tsunami height. less than 0.5 meter.
The Warning category includes several public tourist
areas scattered in Kalinaun, Marinsow, and Pulisan
villages. Meanwhile, several resorts need attention,
especially those included in the Major Warning area,
namely Bastianos Resort, Coral Eye, Sea Soul Dive, Blue
Bay, Murex, and Mimpi Indah.
Based on the combination of tsunami modeling results
and hazard level analysis, it can be seen that the coastal
area of Likupang is a tsunami-prone area with the
characteristics of a fast arrival time, relatively high
tsunami height, and wide inundation. This situation
makes Indonesia's tsunami information dissemination
system still ineffective considering the period required
and alternative access that can be relied on. Alternatives
proposed in the tsunami disaster mitigation plan in
several cases similar to the Likupang coastal area
include self-evacuation.
Self-evacuation is a form of evacuation that relies on a
quick response from the community in responding to
signs of a tsunami, especially those originating from
nature, such as a strong earthquake shaking for more
than 20 seconds, a sudden rise/decrease in sea level, as
well as sounds such as booms coming from the sea. The
community response expected from an independent
evacuation system is to recognize the signs of a tsunami
quickly, without direction from the local government,
and decide to evacuate by running away from the beach
or going up to the highlands. Meanwhile, residents who
are at sea can make decisions to sail towards the sea,
not towards the mainland.
IV. CONCLUSIONS
tsunami modeling in the coastal area of Likupang, North
Sulawesi, produce three main parameters: the arrival
time, height, and area of the tsunami inundation. The
fastest time of the arrival of the tsunami is the first
minute after the earthquake. The maximum tsunami
height generated by the modeling is 6.8 meters. The
largest area of immersion that tsunami waves can
achieve is 23.57 km2
. The majority of public tourist sites
are in the Warning status area, but some private resorts
are still in the area with the Major Warning status.
REFERENCES
[1] Ministry Of Public Works And Housing. 2020. Rencana
Strategis Tahun 2020-2024. Jakarta: Ministry Of Public
Works And Housing
[2] Government Regulation No 84 of 2019 on Likupang
Spesial Economic Zones.
[3] National Disaster Management Authority. 2016. Risiko
bencana Indonesia. Citing Internet Sources URL
http://inarisk.bnpb.go.id/pdf/Buku%20RBI_Final_low.pdf .
[4] Meteorological, Climatological, and Geophysical Agency.
2020. Gempa berpotensi tsunami. Citing Internet Sources
http://inatews2.bmkg.go.id/new/tsunami15.php.
[5] Government Regulation No 50 of 2011 on Tourism
Development Master Plan in 2010 – 2025.
[6] Titov, V. V; Moore, C. W; Greenslade, D. J. M; Pattiaratchi,
C; Badai, R; Synolakis, C. E; Kanoglu, U. 2011. A new tool
for inundation modelling: community modelling interface
for tsunamis (ComMIT). Pure Appl. Geophys., 168, 2121-
2131.
[7] National Center for Earthquake Studies. 2017. Peta
sumber dan bahaya gempa Indonesia tahun 2017. Jakarta:
Ministry Of Public Works And Housing.
Saputri et al. / Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi
Int. Ru. Dev. Env. He. Re. 2023 6
Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/
[8] Raharjo, S. S; Mamuaya, G. E; Lumingas, L. J. L. 2013.
Pemetaan daerah rawan tsunami di wilayah pesisir Kema,
Sulawesi Utara. Aquatic Science & Management 1, 40-47.
[9] Global Centroid Moment Tensor. 2020. Global CMT
Bulletin. Citing Internet Sources http://www.
globalcmt.org/CMT search.html
[10] Wells, D.L; Coopersmith, K. J. 1994. New Empirical
Relationships among Magnitudo, Rupture Length,
Rupture Width, Rupture Area, and Surface Displacement.
Bulletin Seismological Society of America, 84(4), 974-
1002.
[11] Meteorological, Climatological, and Geophysical Agency.
2013. Pedoman Pelayanan Peringatan Dini Tsunami.
Jakarta: Meteorological, Climatological, and Geophysical
Agency.
[12] German-Indonesian Tsunami Early Warning System. 2010.
Panduan Perencanaan untuk Evakuasi Tsunami. Jakarta:
German-Indonesian Tsunami Early Warning System.
[13] Central Bureau of Statistics. 2017. Kecamatan Likupang
Timur dalam Angka 2017. North Minahasa: Central Bureau
of Statistics for North Minahasa Regency.
[14] Khan; Asif; Sughra Bibi; Ardito Lorenzo; Jiaying Lyu;
Zaheer Udden Babar. 2020. Tourism and Development in
Developing Economies: A Policy Implication Perspective.
Sustainability 12, no. 4: 1618.
https://doi.org/10.3390/su12041618
[15] Shi, P; Ye, T; Wang, Y. et al. 2020. Disaster Risk Science: A
Geographical Perspective and a Research Framework. Int
J Disaster Risk Sci 11, 426–440 .
[16] Chacon-Barrantes, S; Arozarena-Llopis, I. 2021. A first
estimation of tsunami hazard of the Pacific coast of Costa
Rica from local and distant seismogenic sources. Ocean
Dynamics 71, 793–810. https://doi.org/10.1007/s10236-021-
01467-8

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Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi

  • 1. International Journal of Rural Development, Environment and Health Research [Vol-7, Issue-1, Jan-Feb, 2023] Issue DOI: https://dx.doi.org/10.22161/ijreh.7.1 Article DOI: https://dx.doi.org/10.22161/ijreh.7.1.1 ISSN: 2456-8678 ©2023 IJREH Journal Int. Ru. Dev. Env. He. Re. 2023 1 Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/ Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi Febriani Saputri1 , Ping Astony Angmalisang2 , Wilmy Etwil Pelle3 , Indri Manembu4 , Anton Rumengan5 , Robert Bara6 , Deiske Sumilat7 1Aquatic Science Graduate Study Program, Faculty of Fisheries and Marine Science, Sam Ratulangi University, North Sulawesi, Indonesia 2,3,4,5,6,7Faculty of Fisheries and Marine Science, Sam Ratulangi University, North Sulawesi, Indonesia, Received: 10 Jan 2023; Received in revised form: 12 Feb 2023; Accepted: 19 Feb 2023; Available online: 25 Feb 2023 ©2023 The Author(s). Published by AI Publications. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/) Abstract— The Likupang area, North Sulawesi is one of the super priority tourist destinations launched by the Central Government with the marine tourism sector as the axis. On the other hand, the potential for natural disasters originating from the sea is unavoidable so it needs to be one of the considerations in the process of developing disaster-responsive tourist areas. A tsunami hazard analysis study is first step in disaster mitigation planning. The study is in the form of tsunami modeling by identifying the worst possible scenario in the Likupang area using COMMIT modeling. The modeling is able to produce parameters such as arrival time, maximum height and tsunami inundation area. These three parameters are used as the basis for mapping the tsunami hazard map. The modeling produces the fastest arrival time, which occurs in the first minute after an earthquake occurs. The maximum height obtained from the modeling is 6.8 meters. The maximum inundation area reached by the tsunami wave is 23.57 km2. The combined results of the five scenarios are presented in hazard maps. The majority of public tourist sites are in the Warning status area, but some private resorts are still in the area with the Major Warning status. Keywords— Likupang, North Sulawesi, Tsunami hazard map, Tsunami modeling. I. INTRODUCTION One of the Ministry of Tourism programs is the development of super-priority tourist destinations. Out of the ten priority areas, Likupang is one of the areas listed [1] Likupang District, located in North Minahasa Regency, North Sulawesi Province, was selected as a candidate for a world-class tourist area with the main attraction of resort and cultural tourism. This theme is in accordance with the layout of the Likupang area, which is mostly beach and adjacent to the Wallace Conservation Center. The tourism concept in Likupang will develop premium and mid-range resorts, cultural, and the development of WaIIace Conservation [2]. Indonesia as an archipelagic country with a coastline of 108,000 km is suitable as a tourist destination based on the beach area. In addition, the added value of coastal areas in Indonesia comes from the diversity of flora, fauna, and the beauty of the scenery. On the other hand, beaches also harbor latent hazards such as tsunamis. A tsunami is a natural disaster with little frequency but massive impact. In 2018, tsunamis occurred in Indonesia twice, namely in Palu, Central Sulawesi, and the Sunda Strait. The National Disaster Management Agency noted that the impact of the two tsunamis claimed 453 lives and damaged property for more than 2000 housing units [3].
  • 2. Saputri et al. / Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi Int. Ru. Dev. Env. He. Re. 2023 2 Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/ The North Sulawesi region is not an exception. In 2019, the BMKG issued two early tsunami warnings, each in the Maluku Sea with the same magnitude of 7.1. The earthquake's tremors were felt in most areas of the northern Sulawesi peninsula and caused mass panic. The tsunami was recorded in Bitung with less than one- meter height [4]. The development of the tourism sector is one of the contributors to the national economy, especially in increasing the country's foreign exchange and in the local sphere can advance the community's economy around tourist areas [14]. Given these important factors, the development of the tourism sector should be carried out with good planning to provide optimal benefits. The statement above reinforces the important factor in making a disaster response system where in this research will be carried out in the coastal area of Likupang. The disaster response system is an integrated system carried out when a disaster occurs to reduce the impact caused, especially victims and then property. A disaster response system requires comprehensive planning starting from the potential threats to tourist areas to produce a further consideration of decisions taken in making a disaster response system which is commonly referred to as a disaster mitigation plan [5] [15]. This research will carry out a series of activities to support decisions on disaster mitigation systems in tourist areas in Likupang, North Sulawesi, among others, by modeling a tsunami with several possible worst-case scenarios that may occur around the research area for hazard analysis based on the modeling results in the form of arrival time, tsunami height, and tsunami inundation. II. METHODS In general, the scope of the research area covers the entire coast of the East Likupang sub-district as the center of the tourist area. The observation points are placed in several public and private tourist attractions with the coordinates attached to the table 1 Table 1 The coordinate of observation point Observation Point Name Latitude Longitude 1 Kalinaun Resort 1°37’28.009” 125°8’41.662” 2 Sampiran Beach 1°37’32.585” 125°8’49.121” 3 Paal Beach 1°39’5.17” 125°9’42.88” 4 Pulisan Jungle Beach Resort 1°39’55.238” 125°9’48.571” 5 Pulisan Beach 1°40’56.654” 125°8’49.776” 6 Surabaya Beach 1°39’52.373” 125°6’23.378” 7 Murex Resort 1°44’8.387” 125°9’0.018” 8 Blue Bay Divers Resort 1°44’41.996” 125°9’20.959” 9 Mimpi Indah Resort 1°46’6.503” 125°9’57.794” 10 Bastianos Resort 1°44’27.24” 125°8’44.16” 11 Coral Eye Resort 1°45’4.198” 125°8’1.388” Tsunami modeling was carried out with ComMIT. ComMIT is a web-based community tsunami model designed by the NOAA institution. The ComMIT system uses a precomputed database with a user-friendly interface and a MOST (Method of Splitting Tsunamis) modeling base [6]. ComMIT data set comes from 2 (two) sources. First, Bathymetry of 1 arc-minutes ETOPO1 produced by NOAA's National Geophysical Data Center. This data has been interpolated from 60 arc- second to 3 arc-second to match the topographic data set. Second, the topography is derived from the CGIAR SRTM 90m version 4 digital elevation model produced by the CGIAR Consortium for Spatial Information.
  • 3. Saputri et al. / Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi Int. Ru. Dev. Env. He. Re. 2023 3 Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/ The modeling scenario includes five scenarios, namely North Sulawesi subduction, Philippine subduction, West Maluku Sea subduction, East Maluku Sea subduction, and Sulu subduction. The magnitude of the earthquake source is taken from various studies with the provisions of the largest magnitude [7] [8], assuming that it will have the worst impact in the research area. The fault geometry parameter, namely strike (the angle formed by the fault direction relative to the north direction (calculated clockwise)), will be taken from the database source from the tsunami history of each subduction location [9]. Meanwhile, the highest values for dip and rake were taken, namely, dip of 45° and rake of 90°, assuming that the earthquake mechanism was purely an upward fault. The area of the fault plane was typed manually in the ComMIT software according to the Scaling [10] Law, Wells & Coppersmith formula. The scenario of the earthquake and tsunami generator is attached in Table 2. Table 2 Tsunami Generator Earthquake Scenario Scenario Subduction M L (km) W (km) U (m) Strike 1a 1b Northern Sulawesi Northern Sulawesi 8.5 250 74 75 75 15 15 92 231 2 West Molucca Sea 8.5 324 75 15 248 3 East Molucca Sea 8.1 190 51 9 231 4 Fillipina 8.2 217 56 10 330 5 Sulu 8.5 324 75 15 314 In preparing the tsunami hazard map, the components of the modeling results are mapped using GIS tools. The modeling results in arrival time, tsunami height, and tsunami inundation are then divided into 3 hazard classes, namely major warnings, warnings, and advisory [11], described in the Table 3. Table 3 Components of the Tsunami Hazard Index No Alert Status Tsunami Wave Height Suggestions 1 Major Warning >3 meters Evacuate! 2 Warning 0.5 – 3 meters Evacuate! 3 Advisory <0.5 meter Stay away from beach and riverbank. III. RESULT AND DISCUSSION The arrival time of the COMMIT modeling results is presented in Fig. 1 below. Fig 1. Tsunami Wave Arrival Time Chart In general, it can be seen from the chart indicated that the scenarios that produce arrival times are sequentially from the fastest, namely the second, first, third, fourth, and fifth scenarios. The modeling results show that the fastest arrival time for each observation point is in the second scenario. The arrival time required for the tsunami waves to reach the twelve points is 1 minute. The second scenario is the source of an earthquake in the western part of the Maluku Sea with an estimated maximum magnitude of 8.5. The modeling results cannot be proven concretely because so far, there has been no record of past tsunami events that hit the coastal area of Likupang.
  • 4. Saputri et al. / Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi Int. Ru. Dev. Env. He. Re. 2023 4 Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/ Considering the results of modeling that have been carried out with an average arrival time of around one minute at observation points, the decision to wait for an evacuation order from the competent government is irrelevant. The GITEWS organization in the “Tsunami Evacuation Planning Handbook” [12] provides a solution for self-evacuating. Self-evacuation is a community initiative that responds to earthquakes and tsunami. Armed with an understanding of the dangers of earthquakes and tsunamis, people, especially coastal areas, who feel an earthquake with a relatively strong vibration of more than 20 seconds are urged to carry out self-evacuation by securing themselves to a high place. The modeling also produces parameters for the estimated tsunami height. The tsunami height described in this study is focused on the maximum height generated by the tsunami waves entering the coastal area. The tsunami height obtained by COMMIT modeling is presented in Fig.2. Fig 2. Tsunami Height Chart The maximum height obtained from the observations is generated from the second scenario modeling, which is in the western part of the Maluku Sea with an earthquake magnitude of 8.5. The height obtained is in the range of 200-600 cm. The height of the tsunami which has a maximum potential at the alert level accompanied by a very short probability of arrival time are two important points for considering what type of evacuation tends to be recommended [16]. Horizontal evacuation which is the type that is more familiar to the community. This type emphasizes the strength of the furthest distance that can be reached away from the beach with limited time needed to reach a safe point. Meanwhile, vertical evacuation is a type that requires a higher cost because it is based on the construction of structures / buildings with disaster resistance and heights that exceed the high probability of a tsunami. The tsunami inundation is the furthest distance traveled by a tsunami that reaches land. Concerning an irregularly shaped area, the COMMIT model represents the tsunami inundation in space units (km2) regarding grid A covering the entire research area. The following table of tsunami inundations based on each scenario. Table 4 Inundation Area based on Tsunami Modeling Scenario Inundation Area (km2 ) 1 10.77 2 23.57 3 4.42 4 3.24 5 7.62 Based on Table 4 above, it can be seen that the five earthquake sources have a probability of having a relatively significant impact on the tsunami inundation. The second scenario, in particular, provides the most considerable immersion area impact. This shows that the source of the earthquake in the second scenario has the most significant potential to cause tsunami damage. Tsunami inundation obtained from the modeling results in this study does not involve land cover differences according to the field due to modeling limitations. The modeling is equated to one roughness model, namely the type of soil with a value of 0.009. Information on tsunami inundation at an advanced level can be used as a reference as a horizontal evacuation route, especially decision-makers can see blind spots that are not affected by the tsunami to be used as an efficient and effective evacuation site. East Likupang District has 18 villages with a geographical structure consisting of coastal villages, mainland villages, and villages on separate islands, namely Bangka Island [13]. The hazard level map shown in Fig 3 shows the hazard level, which varies with the predominance of the Alert status. Villages included in the Major Warning level include Lihunu, Kahuku, Likupang Satu and Sarawet. Meanwhile, the remaining coastal villages, namely Pinenek, Runondoran, Kalinaun, Marinsow, Pulisan, Maen, Wineru, and Kampung Ambong, are at the Warning level.
  • 5. Saputri et al. / Tsunami Hazard Analysis in Likupang Tourism Area, North Sulawesi Int. Ru. Dev. Env. He. Re. 2023 5 Vol-7, Issue-1; Online Available at: https://www.aipublications.com/ijreh/ Fig 3. Tsunami Hazard Map of East Likupang District The level of tsunami hazard in the East Likupang sub- district varies from Major Warning, Warning, and Advisory status. The tsunami hazard level is presented in the Hazard Map with three color representations. Red symbolizes Major Warning level status with the criteria for a tsunami height exceeding 3 meters. Orange symbolizes Warning level status with the criteria of a tsunami height between 0.5 and 3 meters. Yellow symbolizes the status of Advisory level with the criteria of a tsunami height. less than 0.5 meter. The Warning category includes several public tourist areas scattered in Kalinaun, Marinsow, and Pulisan villages. Meanwhile, several resorts need attention, especially those included in the Major Warning area, namely Bastianos Resort, Coral Eye, Sea Soul Dive, Blue Bay, Murex, and Mimpi Indah. Based on the combination of tsunami modeling results and hazard level analysis, it can be seen that the coastal area of Likupang is a tsunami-prone area with the characteristics of a fast arrival time, relatively high tsunami height, and wide inundation. This situation makes Indonesia's tsunami information dissemination system still ineffective considering the period required and alternative access that can be relied on. Alternatives proposed in the tsunami disaster mitigation plan in several cases similar to the Likupang coastal area include self-evacuation. Self-evacuation is a form of evacuation that relies on a quick response from the community in responding to signs of a tsunami, especially those originating from nature, such as a strong earthquake shaking for more than 20 seconds, a sudden rise/decrease in sea level, as well as sounds such as booms coming from the sea. The community response expected from an independent evacuation system is to recognize the signs of a tsunami quickly, without direction from the local government, and decide to evacuate by running away from the beach or going up to the highlands. Meanwhile, residents who are at sea can make decisions to sail towards the sea, not towards the mainland. IV. CONCLUSIONS tsunami modeling in the coastal area of Likupang, North Sulawesi, produce three main parameters: the arrival time, height, and area of the tsunami inundation. The fastest time of the arrival of the tsunami is the first minute after the earthquake. The maximum tsunami height generated by the modeling is 6.8 meters. The largest area of immersion that tsunami waves can achieve is 23.57 km2 . The majority of public tourist sites are in the Warning status area, but some private resorts are still in the area with the Major Warning status. REFERENCES [1] Ministry Of Public Works And Housing. 2020. Rencana Strategis Tahun 2020-2024. Jakarta: Ministry Of Public Works And Housing [2] Government Regulation No 84 of 2019 on Likupang Spesial Economic Zones. [3] National Disaster Management Authority. 2016. Risiko bencana Indonesia. Citing Internet Sources URL http://inarisk.bnpb.go.id/pdf/Buku%20RBI_Final_low.pdf . [4] Meteorological, Climatological, and Geophysical Agency. 2020. Gempa berpotensi tsunami. Citing Internet Sources http://inatews2.bmkg.go.id/new/tsunami15.php. [5] Government Regulation No 50 of 2011 on Tourism Development Master Plan in 2010 – 2025. [6] Titov, V. V; Moore, C. W; Greenslade, D. J. M; Pattiaratchi, C; Badai, R; Synolakis, C. E; Kanoglu, U. 2011. A new tool for inundation modelling: community modelling interface for tsunamis (ComMIT). Pure Appl. Geophys., 168, 2121- 2131. [7] National Center for Earthquake Studies. 2017. Peta sumber dan bahaya gempa Indonesia tahun 2017. Jakarta: Ministry Of Public Works And Housing.
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