scholarly journals Mapping of Tsunami disaster evacuation pathways based on Tsunami altitude scenario using Network Analyst Method (case study: Palu City, Central Sulawesi)

2020 ◽  
Vol 4 (1) ◽  
pp. 304-311
Author(s):  
I Made Edy Kusuma Putra ◽  
Hanna Prillysca Chernovita
Keyword(s):  
Travel Time ◽  
Regional Analysis ◽  
Disaster Mitigation ◽  
Tsunami Disaster ◽  
Cost Distance ◽  
Network Analyst ◽  
Evacuation Routes ◽  
Evacuation Route ◽  
Central Sulawesi

Central Sulawesi's Palu city is one of the regions in Indonesia that is vulnerable to tsunami disasters. A tsunami disaster is a disaster that can cause many victims of both casualties and materials. One of the disaster mitigation to reduce the victim's fall is by evacuating the community to a safer place, to evacuate the population required evacuation routes that can direct people to evacuation sites. The purpose of this research is to make a tsunami runoff using cost distance and to make tsunami evacuation and use a Network analyst on Arcgis 10.4 software. The most affected regional analysis is the Northern Palu sub-district with a total area of 8.643528 km2, and there are 93 evacuation routes with 92 evacuation points. The longest evacuation route is 4,297 M with a travel time of 27.6 minutes with running and the shortest evacuation route of 96 m with a travel time of 0.6 minutes by running.

scholarly journals Disaster Mitigation Study in School Prone to Earthquake and Tsunami Disaster (Case Study Of SMAN 4 Pariaman)

2020 ◽  
Vol 2 (1) ◽  
pp. 47-55
Author(s):  
Suci Maharani ◽  
Erianjoni Erianjoni
Keyword(s):  
Data Processing ◽  
Quantitative Research ◽  
Disaster Mitigation ◽  
Tsunami Disaster ◽  
A Value ◽  
Earthquake Resistant ◽  
Evacuation Routes ◽  
Evacuation Route ◽  
And Training

SMAN 4 Pariaman is located in an area prone to disasters, especially the earthquake and tsunami. SMAN 4 Pariaman is located on the coast of the West Coast of Sumatra, which belongs to the tsunami red zone in Pariaman City. Based on this, all school residents must be prepared to face the disasters that will occur, especially the earthquake and tsunami. This type of research is a combination of research (Mixed Methods). This research is a step of research by combining two pre-existing forms of research namely qualitative research and quantitative research. The results of the study found 5 main priorities, namely 1) Optimization of meeting the basic needs of disaster management with a value of (5,000), 2) Application of evacuation routes and zones of vulnerability to our position or presence (4,556), 3) Socialization through facilities and infrastructure prepared by parties BPBD with grades (4,412), 4) Make maps to the evacuation sites of schools with grades (4,200), 5) Facilitate evacuation route signs such as posters with grades (3,587). The results of the FGD and data processing by data processing with Bayes method obtained 5 main priorities, namely 1) Schools must incorporate knowledge about disasters into the curriculum or subjects with values ​​(5,100), 2) Improvement of earthquake resistant facilities (4,467), 3) Schools must enter disaster mitigation activities into extracurricular values ​​(3,933), 4) Making maps of tsunami evacuation routes to TES with values ​​(3,923), 5) Conduct TRC education and training with a value of 3,857.

scholarly journals Tsunami Evacuation Routes Optimization using Genetic Algorithms: A Case Study in Palu

2020 ◽  
Vol 331 ◽  
pp. 01008
Author(s):  
Yusuf Anshori ◽  
Dwi Shinta Angreni ◽  
Suci Ramadhani Arifin
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Tsunami Disaster ◽  
Evacuation Routes ◽  
Evacuation Route

Palu area and its surroundings, besides being very prone to earthquakes, are also prone to tsunamis. A devastating earthquake occurred On September 28, 2018, followed by a destructive and deadly tsunami that struck Palu Bay. This makes the need for proper planning in overcoming the tsunami disaster. One of them is by showing the evacuation route for people in tsunami-prone areas. This study aims to show the best route to the safe point of the tsunami using Genetic Algorithm. The results of the studies show that the best route for tsunami evacuations can be provided best depend on the available of the safe points. Some clusters, namely 9, 10, and 12 have few safe points, limiting people to access a safe location from the tsunami.

Analisis Pemodelan Tinggi dan Waktu Tempuh Gelombang Tsunami di Pesisir Pantai Bengkulu dengan Menggunakan Data Historis Gempa Bengkulu 12 september 2007

2017 ◽  
Vol 1 ◽  
pp. 52
Author(s):  
Dwi Pujiastuti ◽  
Rahmad Aperus ◽  
Rachmad Billyanto
Keyword(s):  
Travel Time ◽  
Historical Data ◽  
Tide Gauge ◽  
Disaster Mitigation ◽  
Tsunami Modeling ◽  
Tsunami Modelling ◽  
Tsunami Disaster ◽  
Run Up ◽  
Tsunami Run Up ◽  
Coast Region

<p class="ISI"><strong>Abstract</strong> Tsunami modeling research has been done on the coast of Bengkulu using software L-2008 and Travel Time Tsunami (TTT). Earthquake historical data that used in this research is the earthquake in Bengkulu on September 12, 2007 which is obtained from BMKG and the USGS. This research is aimed to determine the height (run up) and travel time of the tsunami on the coast of Bengkulu as the tsunami disaster mitigation efforts. Tsunami modelling has been done by validate the run up using tide gauge  data in the area of Padang, Muko-Muko, and Kaur.  In this research used magnitude scenario are 8 M<sub>w</sub>, 8.5 M<sub>w</sub> and 9 M<sub>w</sub>. Local tsunami effect observed were 10 areas along the coast region Bengkulu. Tsunami modeling of Bengkulu in September 12, 2007 results the run up value which is close to the run up value of the measurements. From the modelling result obtained that the quickest area impacted by the tsunami is Enggano Island   which is 27  minutes 46  seconds from earthquake.  The highest tsunami run up value is located in the Bengkulu city. The run up values by using the scenario of magnitude 8M<sub>w</sub> is  2.07 m, 8.5 M<sub>w</sub> is  4.05 m and 9 M<sub>w</sub> is 9.83 m.</p><p class="54IsiAbstractCxSpFirst"> </p><p class="54IsiAbstractCxSpLast"><strong>Keywords:</strong>   tsunami, modelling, software L-2008, software TTT, run up</p><p class="ISICxSpFirst"><strong> </strong></p><p class="ISICxSpLast"><strong>Abstrak</strong> Telah dilakukan penelitian pemodelan tsunami di pesisir Pantai Bengkulu dengan menggunakan <em>software</em><em> </em>L-2008 dan <em>Travel Time Tsunami </em>(TTT). Data historis gempa bumi yang digunakan dalam penelitian ini adalah gempa bumi Bengkulu 12 September 2007 yang diperoleh dari BMKG dan USGS. Penelitian ini bertujuan untuk menentukan tinggi (<em>run up</em>) dan waktu tempuh gelombang tsunami di pesisir Pantai Bengkulu sebagai upaya mitigasi bencana tsunami. Sebagai validasi digunakan data <em>run up </em>stasiun <em>tide gauge yang </em>berlokasi di Padang, Muko-muko dan Kaur. Dalam penelitian ini dilakukan pemodelan tsunami untuk mengestimasi tinggi <em>run up</em><em> </em>dan waktu tempuh penjalaran gelombang tsunami menggunakan skenario magnitudo 8 M<sub>w</sub>, 8,5 M<sub>w</sub> dan 9 M<sub>w</sub>. Sebagai titik tinjau digunakan 10  daerah di sepanjang pantai wilayah Bengkulu. Hasil pemodelan menunjukkan  bahwa nilai <em>run up</em>  tsunami  yang diperoleh mendekati nilai <em>run up</em> hasil pengukuran. Daerah dengan waktu tercepat dihantam gelombang tsunami adalah Pulau Enggano dengan waktu tempuh 27 menit dan 46 detik. <em>Run up</em> tertinggi terjadi di  Kota Bengkulu. dengan  nilai <em>run up</em> yang diperoleh adalah 2,07 m untuk skenario 8 M<sub>w</sub>, 4,05 untuk skenario 8,5 M<sub>w  </sub>dan9,83 m untuk skenario 9 M<sub>w</sub>.</p><p><strong> </strong></p><p><strong>Kata kunci:</strong> :tsunami, pemodelan, <em>software </em>L-2008, <em>software </em>TTT, <em>run up</em></p>

scholarly journals Analysis of Disaster Mitigation in Carita with Environmental Learning in Elementary School

2021 ◽  
Vol 940 (1) ◽  
pp. 012001
Author(s):  
H Rahmayanti ◽  
T E B Soesilo ◽  
D A P Sari ◽  
I Z Ichsan ◽  
E Kurniawan ◽  
...  
Keyword(s):  
Elementary School ◽  
Quantitative Methods ◽  
Disaster Mitigation ◽  
Land Utilization ◽  
Environmental Learning ◽  
The Public ◽  
Tsunami Disaster ◽  
Qualitative And Quantitative Methods ◽  
Study Results ◽  
Evacuation Route

Abstract This study analyzes the profile of Carita people in the efforts of tsunami disaster mitigation and the role of environmental learning in coping with the disaster, then analyzes the use of environmental learning. The method used is a mixed method of qualitative and quantitative methods. The quantitative method measures various community readiness levels in performing disaster mitigation, whereas the qualitative method is utilized to obtain various further information from the communities using interview technique. There were 88 randomly selected respondents participating in this research. The study results indicate a low land utilization density (below 33%). Indicators suggest a good category, namely: people evacuate when a disaster occurs (86%), rescue during a disaster (96.59%), and try to find new livelihoods (82.95%). In addition, public knowledge of disaster evacuation route is at a good level (87.50%) and there is an increase of 39.77% respondents with improved knowledge after the tsunami disaster occurred. Environmental learning, in this case, plays an important role to provide information to the public relating the efforts in disaster mitigation. The conclusion is that community’s disaster mitigation readiness still requires some improvement through various efforts, one of them is environmental learning with learning media in elementary school.

scholarly journals Study of Flood Disaster Mitigation Analysis for Transportation Routes in Panakukkang District, Makassar City

2021 ◽  
Vol 921 (1) ◽  
pp. 012018
Author(s):  
N K Nur ◽  
A I Yunus ◽  
A M D Satriawan
Keyword(s):  
Travel Time ◽  
Reference Point ◽  
Flood Disaster ◽  
Reference Points ◽  
Disaster Mitigation ◽  
Analysis Study ◽  
Flood Alert ◽  
Evacuation Route ◽  
Transportation Routes ◽  
Safe Zones

Abstract This study conducted an analysis study of flood disaster mitigation for transportation routes in the Panakukkang district of Makassar City. By using ArcGis software, the results of the simulation of safe and vulnerable zone levels based on color indicators are known. There are 5 villages in Panakukkang District which are flood safe zones, with the number of evacuation sites, namely 21 buildings. Then there are 4 villages which are flood alert zones with 2 evacuation sites, 2 buildings. On the first evacuation route there are 8 reference points namely Reference Point C with the distance to the nearest evacuation site 3.22 km and a travel time of 64.3 minutes. Then the reference point A with a distance to the nearest evacuation site is 2.85 km and a travel time of 57 minutes. While the reference point F is the closest point to the nearest evacuation distance 0.71 km and the travel time is 14.2 minutes. All these reference points require travel speeds of 3 km / h on foot. On the second evacuation route there are 6 Reference Points namely reference point A with distance to the nearest evacuation point 1.94 km and travel time 38.8 minutes, reference point E with distance to nearest evacuation location 1.23 km and travel time 24.6 minutes. Then at the reference point C is the closest point to the nearest evacuation distance 0.72 km and the travel time is 14.4 minutes.

scholarly journals FLOOD EVACUATION ROUTES MAPPING BASED ON DERIVED- FLOOD IMPACT ANALYSIS FROM LANDSAT 8 IMAGERY USING NETWORK ANALYST METHOD

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 455-460
Author(s):  
N. Watik ◽  
L. M. Jaelani
Keyword(s):  
Simulation Model ◽  
Disaster Response ◽  
Impact Analysis ◽  
Landsat 8 ◽  
Flood Simulation ◽  
Network Analyst ◽  
Before And After ◽  
Evacuation Routes ◽  
Evacuation Route ◽  
National Disaster

<p><strong>Abstract.</strong> Reported by National Disaster Response Agency of Indonesia (BPBD) as many as 94 dies, 149 injured, and more than 88 thousands homeless caused by floods in 2018. Besides bringing casualties to people and environment, the floods also affect the damages to transportation infrastructures in which vital to disaster emergency response operation e.g. evacuation process. Due to the complex impact of current disaster, the demands of providing a short-term response increases accordingly. Therefore, this research proposes a prototype of flood evacuation route utilizing network analyst method. The network analyst method particularly focus on finding alternative route based on time and distance. This research uses a flood simulation model derived from Landsat 8 imagery and terrain data. Subsequently, the simulation model divides the flood severity based on the depth which consist of < 0.3 m (slight), 0.3-0.5 m (moderate), and > 0.5 m (serious) in order to generate an impact analysis regarding the estimation of damages and casualties. In order to resemble the real situation of flood, barriers (e.g. flood area) are applied into the finding evacuation route procedure. Thereby, the estimated evacuation route can be executed considering the safest and fastest way. Moreover, some comparisons between before and after flood are conducted in order to know the effectiveness of evacuation routes. By such comparison proves that network analyst enables to support disaster management operation with respect to handling the evacuation procedure.</p>

scholarly journals Simulation-Based and Risk-Informed Assessment of the Effectiveness of Tsunami Evacuation Routes Using Agent-Based Modeling: A Case Study of Seaside, Oregon

2021 ◽  
Author(s):  
Zhenqiang Wang ◽  
Gaofeng Jia
Keyword(s):  
Transportation Network ◽  
Agent Based Modeling ◽  
Assessment Framework ◽  
Evacuation Simulation ◽  
Agent Based ◽  
Simulation Based ◽  
Evacuation Risk ◽  
Evacuation Routes ◽  
Evacuation Route

AbstractTypically, tsunami evacuation routes are marked using signs in the transportation network and the evacuation map is made to educate people on how to follow the evacuation route. However, tsunami evacuation routes are usually identified without the support of evacuation simulation, and the route effectiveness in the reduction of evacuation risk is typically unknown quantitatively. This study proposes a simulation-based and risk-informed framework for quantitative evaluation of the effectiveness of evacuation routes in reducing evacuation risk. An agent-based model is used to simulate the tsunami evacuation, which is then used in a simulation-based risk assessment framework to evaluate the evacuation risk. The route effectiveness in reducing the evacuation risk is evaluated by investigating how the evacuation risk varies with the proportion of the evacuees that use the evacuation route. The impacts of critical risk factors such as evacuation mode (for example, on foot or by car) and population size and distribution on the route effectiveness are also investigated. The evacuation risks under different cases are efficiently calculated using the augmented sample-based approach. The proposed approach is applied to the risk-informed evaluation of the route effectiveness for tsunami evacuation in Seaside, Oregon. The evaluation results show that the route usage is overall effective in reducing the evacuation risk in the study area. The results can be used for evacuation preparedness education and hence effective evacuation.

scholarly journals Increasing The Community Capacity for Facing of Disaster Multi-Risk (Case Study in Dayu Village, Gondangrejo District, Karanganyar Regency)

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Rita Noviani ◽  
Pipit Wijayanti ◽  
Chatarina Muryani ◽  
Ahmad Ahmad ◽  
Sarwono Sarwono ◽  
...  
Keyword(s):  
Community Capacity ◽  
Participatory Mapping ◽  
Physical Conditions ◽  
Quantitative Descriptive ◽  
Evacuation Routes ◽  
High Level ◽  
Evacuation Route ◽  
The Impact ◽  
Descriptive Method

<p><em>Dayu Village which located in Gondangrejo Subdistrict, Karangnyar Regency has the potential disaster multi risks. Therefore, necessary to increase the capacity of Dayu Village community in facing disaster multi risks as anticipatory effort to minimize the impact of losses disasters in the future. The research used quantitative descriptive method with scoring and overlay analysis techniques, while for increasing community capacity through socialization related to the physical conditions of the area, FGD, participatory mapping, training and making evacuation routes. Based on the analysis results, it is known that Dayu Village has high level of disaster multi-risk. The results of FGD and participatory mapping showed that there were 6 points landslide and 1 point flood in Dusun Dayu  and 4 landslide points and 2 flood points in Dusun Tanjung. These location points used as reference in determining the location of the gathering point along with the evacuation route to that gathering point.</em></p>

scholarly journals DISASTER RISK MANAGEMENT in PALU CITY

2019 ◽  
Author(s):  
muhammad ahsan samad
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Management ◽  
Disaster Risk ◽  
Disaster Mitigation ◽  
Tsunami Disaster ◽  
Community Preparedness ◽  
The Many ◽  
The City

Palu City is one of the provincial capitals in Indonesia which is right on the Equator line. In addition, this city is one of the many regions in the eastern part of Indonesia that have a considerable potential for natural disasters. The natural disaster that occurred in Palu on September 28, 2018 consisted of three types of disasters, the first was an earthquake, the second tsunami and the last was liquefaction. This natural disaster caused damage to supporting infrastructure and thousands of people died. The large number of fatalities illustrates that the preparation and preparedness of the community and local government authorities are still low, mainly due to a lack of knowledge and concern for these natural phenomena and their consequences. The earthquake and tsunami disaster that took place in the city of Palu Sigi and Donggala was a momentum to change the paradigm of disaster management by increasing community preparedness. This research tells the story of the phenomenon of the three natural disasters, also tried to explain the steps and design of disaster mitigation. Disaster Mitigation must be implemented to reduce the risk of natural disasters. Public policy about community preparedness towards disaster management is very important and urgent to do in order to reduce disaster risk. Disaster cases in Palu City as a case study are considered relevant for the implementation of disaster management systems.

Summary Report of the SATREPS Project on Earthquake and Tsunami Disaster Mitigation Technology in Peru

2014 ◽  
Vol 9 (6) ◽  
pp. 916-924 ◽  
Author(s):  
Fumio Yamazaki ◽  
◽  
Carlos Zavala ◽  
Shoichi Nakai ◽  
Shunichi Koshimura ◽  
...  
Keyword(s):  
Disaster Mitigation ◽  
Observation Data ◽  
Training And Education ◽  
Field Surveys ◽  
Tsunami Disaster ◽  
Research Fields ◽  
Seismic Motion ◽  
Study Sites ◽  
The City

One of the SATREPS projects on earthquake and tsunami disaster mitigation technology in Peru has been promoted since March 2010 for a five-year period. The project focuses on five research fields, i.e., seismic motion and geotechnical, tsunamis, buildings, damage assessment, and disaster mitigation planning. Collaborative research has been carried out through joint experiments, observations, field surveys, computer simulations, seminars and workshops. With the Lima metropolitan area and the city of Tacna set as case study sites, two mega-thrust earthquakes have been simulated and their effects and countermeasures investigated. The simulation results have been validated by observation data and have been implemented in government policy. Young Peruvian engineers and scientists have also received training and education. This paper summarizes the progress and outcomes of the SATREPS project for earthquake and tsunami disaster mitigation in Peru.

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