scholarly journals Tsunami hazard mapping and loss estimation using geographic information system in Drini Beach, Gunungkidul Coastal Area, Yogyakarta, Indonesia

2019 ◽  
Vol 76 ◽  
pp. 03010 ◽  
Author(s):  
Muh Aris Marfai ◽  
Sunarto ◽  
Nurul Khakim ◽  
Hendy Fatchurohman ◽  
Ahmad Cahyadi ◽  
...  
Keyword(s):  
Information System ◽  
Coastal Area ◽  
Tsunami Hazard ◽  
The Other ◽  
Hazard Mapping ◽  
Land Uses ◽  
Material Loss ◽  
Tsunami Inundation ◽  
Tsunami Risk ◽  
The Indian Ocean

The southern coastal area of Java Island is one of the nine seismic gaps that prone to tsunamis. The entire coastline in one of the regencies, Gunungkidul, is exposed to the subduction zone in the Indian Ocean. Also, the growing tourism industries in the regency increase its vulnerability, which places most of its areas at high risk of tsunamis. This conditions are expected to increase the tsunami risk and loss potential alongside the coastal area. This research aims to model tsunami inundation and estimate the loss that caused by tsunami. Detailed DEM generated from UAV photogrammetry. Based on the model, several inundation scenario. Based on the model, the 4-m inundation did not affect a wide area. The modelling proves that the extent of tsunami-inundated areas is directly proportional to the wave height of tsunamis. The inundated area extend as the inundation scenario increase. Hilly karst topography prevent the water to inundate wider areas. The loss calculation shows that the material loss at the trading centre was relatively much higher than the other land uses because its included not only the value of the building but also the commodities and the strategic importance of their market.

scholarly journals Case study: mapping the tsunami-hazard zone in the Pasir Jambak sub-district, in Padang, Indonesia

2021 ◽  
Vol 331 ◽  
pp. 04006
Author(s):  
Leli Honesti ◽  
Meli Muchlian
Keyword(s):  
Large Scale ◽  
Grid Point ◽  
Tsunami Hazard ◽  
Decision Makers ◽  
Tsunami Inundation ◽  
Tsunami Risk ◽  
Nested Grid ◽  
Inundation Map ◽  
Run Up

A tsunami hazard is an adverse event that causes damage to properties and loss of life. The problem in assessing a tsunami risk zone for a small area is significant, as available tsunami inundation zone data does not give detailed information for tsunami inundation and run-up in every nested grid. Hence, this study aims to establish a tsunami risk map in the Pasir Jambak sub-district, Padang, Indonesia. The map was carried out in every nested grid point of the area and on a large scale (1:5,000). The TUNAMI N3 program was used for the simulation of the tsunami inundation. A tsunami assessment was made through simulations in nine scenarios of fault parameter data for Sipora block earthquakes. The result of the study provides a tsunami inundation map. Furthermore, this tsunami inundation map can be used for communities, local authorities, government, and others for many studies, and decision-makers can come up with mitigation plans for a small study area.

scholarly journals An Evaluation of Tsunami Hazard Modeling in Gunungkidul Coastal Area using UAV Photogrammetry and GIS. Case Study: Drini Coastal Area

2019 ◽  
Vol 125 ◽  
pp. 09005
Author(s):  
Muh Aris Marfai ◽  
Hendy Fatchurohman ◽  
Ahmad Cahyadi
Keyword(s):  
Coastal Area ◽  
High Spatial Resolution ◽  
Low Cost ◽  
Tsunami Hazard ◽  
Hazard Maps ◽  
Tsunami Inundation ◽  
The Government ◽  
Evacuation Routes ◽  
Elements At Risk

In recent years, Tourism activities in Gunungkidul Coastal Area rapidly increased. A large number of tourists visiting the coast considered as elements at risk that are exposed to tsunami hazards. Disaster infrastructures provided by the government e.g. hazard maps, evacuation routes, and locations for assembly points are inadequate. The tsunami inundation models provided by the government are based on national topographic maps (RBI), resulting in inaccurate models. DEM generation using UAV Photogrammetry produces high spatial resolution data that results in more accurate tsunami inundation model. The results of the model using UAV photogrammetry are also capable of producing several inundation scenarios and determine the safe areas that can be used for temporary evacuation sites. The use of UAV photogrammetry for tsunami inundation models provides many advantages including low cost and accurate model results. Evaluation of hazard maps and assembly points using UAV Photogrammetry modeling lead to more effective and less time-consuming on the evacuation process.

scholarly journals Probabilistic tsunami inundation assessment of Kuroshio Town,Kochi Prefecture, Japan considering the Nankai-Tonankai megathrust rupture scenarios

2020 ◽  
Author(s):  
Katsuichiro Goda ◽  
Tomohiro Yasuda ◽  
Nobuhito Mori ◽  
Ario Muhammad ◽  
Raffaele De Risi ◽  
...  
Keyword(s):  
Tsunami Hazard ◽  
Grid Data ◽  
Seismic Region ◽  
Tsunami Inundation ◽  
Coastal Defense ◽  
Tsunami Risk ◽  
Hazard Assessments ◽  
Tsunami Scenarios ◽  
Management Council ◽  
Kochi Prefecture

Abstract. The Nankai-Tonankai megathrust earthquake and tsunami pose significant risks to coastal communities in western and central Japan. Historically, this seismic region hosted many major earthquakes, and the current national tsunami hazard assessments in Japan consider megathrust events having moment magnitudes between 9.0 and 9.1. In responding to the lack of rigorous uncertainty analysis, this study presents an extensive tsunami hazard assessment for the Nankai-Tonankai Trough events, focusing upon the southwestern Pacific region of Japan. A set of 1,000 kinematic earthquake rupture models is generated via stochastic source modelling approaches, and Monte Carlo tsunami simulations are carried out by considering high-resolution grid data of 10-m and coastal defense structures. Significant advantages of the stochastic tsunami simulation methods include the enhanced capabilities to quantify the uncertainty associated with tsunami hazard assessments and to effectively visualize the results in an integrated manner. The results from the stochastic tsunami simulations can inform regional and local tsunami risk reduction actions in light of inevitable uncertainty associated with such probabilistic tsunami hazard assessments, and complement conventional deterministic tsunami scenarios and their hazard predictions, such as those developed by the Central Disaster Management Council of the Japanese Cabinet Office.

GIS Based Tsunami Risk Assessment

2021 ◽  
Vol 10 (1) ◽  
pp. 3438-3448
Author(s):  
T.D.C. Pushpakumara ◽  
◽  
Shohan Gamlath ◽  
Keyword(s):  
Sri Lanka ◽  
Volcanic Eruptions ◽  
Tsunami Hazard ◽  
Risk Map ◽  
Tsunami Inundation ◽  
Age Ratio ◽  
Tsunami Risk ◽  
Inundation Map ◽  
Tsunami Model ◽  
2004 Tsunami

Tsunami is a coastal hazard which occur due to undersea earthquakes, Meteorite falls, volcanic eruptions or even nuclear weapon operations. The tsunami hazard which occurred in December 2004 was generated due to an undersea earthquake 400m west of northern Sumatra and it inundated coastal areas of Indonesia, Sri Lanka, Thailand and India. This hazard became one of the worst disasters in the history resulting in over thirty thousand fatalities and over seventy thousand house damage in Sri Lanka. This study is focused towards creation of GIS based Tsunami risk map for Galle city which was badly hit by the 2004 Tsunami. Tsunami vulnerability was assessed using weighted overlay spatial method with input parameters of population density, sex ratio, age ratio, disability ratio and damaged building ratio. Tsunami hazard map was developed based on tsunami inundation map which was published by Coastal research and design, costal conservation and resource management department with assistant from Disaster management centre using the Cornell Multigrid Coupled Tsunami Model (COMCOT). Vulnerable and hazard maps were analysed and incorporated to develop final risk map using GIS tool. Keywords GIS; Tsunami Inundation Map; Tsunami Risk Map; Vulnerability; Disaster

scholarly journals Modelling Tsunami Level of Hazard in Pariaman Coastal Area, West Sumatera

2020 ◽  
Vol 202 ◽  
pp. 13005
Author(s):  
Hilza Ikhsanti ◽  
Ratna Saraswati ◽  
Nurul Sri Rahatiningtyas
Keyword(s):  
Subduction Zone ◽  
Coastal Area ◽  
Tsunami Hazard ◽  
Tsunami Inundation ◽  
Sumatran Fault ◽  
Inundation Model

Pariaman is a coastal area in West Sumatera which is located near the seismic fracture. The Semangko fracture consists of the Sumatran fault that extends from north to south and the subduction zone of the plate is located at the base where the two Indo-Australian plates meet. This study aims to determines the level of tsunami hazard in Pariaman coastal area. This study is designed based on tsunami inundation model. The analysis results show that the coastal area of Pariaman is at high tsunami hazard with an area of 1032,53 Ha, area that at middle tsunami hazard with an area 160,39 Ha and area that at low tsunami hazard with an area 88,50 Ha.

scholarly journals Exposures of Building and Population to Tsunami Hazard in Pangandaran Beach, Indonesia

2021 ◽  
Vol 925 (1) ◽  
pp. 012037
Author(s):  
Martha Alvianingsih ◽  
Willy Ivander Pradipta ◽  
Intan Hayatiningsih ◽  
Nuraini Rahma Hanifa
Keyword(s):  
Population Distribution ◽  
Tsunami Hazard ◽  
Disaster Mitigation ◽  
Aerial Photographs ◽  
Historical Event ◽  
Intraplate Earthquake ◽  
Tsunami Inundation ◽  
Tsunami Disaster ◽  
Tsunami Risk ◽  
The Government

Abstract Pangandaran and Pananjung villages are located in the southern coast of Java Island, prone to tsunami hazard originating from a megathrust earthquake off south of Java Island. Those villages experience a tsunami earthquake on 2006 from an M7.8 earthquake. The National Center for Earthquake Studies released a map of the sources and hazards of Indonesia’s earthquake in 2017 with a potential earthquake of magnitude 8.7-9.2 in the megathrust of Java Island. This research aims to estimate the potential number of buildings and the population affected by tsunami inundation from two scenario; first scenario is based on historical event of a M7.8 intraplate earthquake, and second scenario is based on a plausible M8.7 intraplate earthquake. The first scenario tsunami modeling resulted an inundation of 108.606 ha, while in the second scenario estimate an 867.351 ha of inundation area. Building data is obtained by digitizing aerial photographs taken in November 2021. The calculation of potential affected buildings is carried out by overlaying the tsunami inundation data with the existing building data in the study area. Meanwhile, the population data used is obtained from the local government in 2021. To obtain the number of the affected population, population distribution is first carried out in each class of land cover, overlaid with the tsunami inundation data. The estimated number of buildings and population affected by scenario 1 and 2 in Pangandaran Village is 1,040 buildings along with 2,765 people, and 4,216 buildings with 11,209 people respectively. While in Pananjung Village, it is estimated a total of 149 buildings with 350 people affected, and 4,039 buildings with 9,493 people affected respectively. This indicate that scenario 2 impact is potentially 4 times greater than scenario 1 in Pangandaran village, and 27 times greater in Pananjung village, implying a different strategy of tsunami risk reduction should be taken to save more lives. The results of this study can be used as a basis for policymaking by the government in carrying out a more effective tsunami disaster mitigation efforts in Pangandaran and Pananjung Villages. This study also calls for reevaluation of coastal villages tsunami risk based on each plausible scenario.

scholarly journals Mapping Tsunami Vulnerability Area for Bacan Sub-District and Its Surroundings – North Maluku Province

2021 ◽  
Vol 328 ◽  
pp. 04024
Author(s):  
Mohammad Ridwan Lessy ◽  
Mesrawaty Sabar
Keyword(s):  
Risk Assessment ◽  
Disaster Risk ◽  
Tsunami Hazard ◽  
Hazard Map ◽  
Thematic Maps ◽  
Dense Population ◽  
Tsunami Inundation ◽  
Tsunami Risk ◽  
Risk Maps ◽  
Gis Software

This research aims to explore tsunami-prone areas in the Bacan and South Bacan districts of South Halmahera Regency. The findings of this research are planned to assist all stakeholders, particularly in developing disaster risk assessment sheets. To estimate the tsunami hazard map, the susceptibility of the elevation, slope, river distance, and coastal distance was collected. Overlaying thematic maps were used assisted by GIS software. The result shows that the low and very low tsunami vulnerability areas were safe from tsunami inundation predominate in the Eastern part and Northern part of the study area while the area designated as very vulnerable covered 157,10 hectares. These locations may have sustained the most damage from a tsunami catastrophe due to their proximity to the sea, low terrain and slope, and dense population. In consideration of the tsunami disasters in Aceh, we anticipate that tsunami risk maps will support in the initiation of humanitarian and development activities in North Maluku Province.

scholarly journals Uncertainty quantification of tsunami inundation in Kuroshio, Kochi Prefecture, Japan, using the Nankai–Tonankai megathrust rupture scenarios

2020 ◽  
Vol 20 (11) ◽  
pp. 3039-3056
Author(s):  
Katsuichiro Goda ◽  
Tomohiro Yasuda ◽  
Nobuhito Mori ◽  
Ario Muhammad ◽  
Raffaele De Risi ◽  
...  
Keyword(s):  
Tsunami Hazard ◽  
Grid Data ◽  
Seismic Region ◽  
Tsunami Inundation ◽  
Megathrust Earthquakes ◽  
Tsunami Risk ◽  
Hazard Assessments ◽  
Tsunami Scenarios ◽  
Management Council ◽  
Kochi Prefecture

Abstract. Nankai–Tonankai megathrust earthquakes and tsunamis pose significant risks to coastal communities in western and central Japan. Historically, this seismic region hosted many major earthquakes, and the current national tsunami hazard assessments in Japan consider megathrust events as those having moment magnitudes between 9.0 and 9.1. In responding to the lack of rigorous uncertainty analysis, this study presents an extensive tsunami hazard assessment for the Nankai–Tonankai Trough events, focusing on the southwestern Pacific region of Japan. A set of 1000 kinematic earthquake rupture models is generated via stochastic source modelling approaches, and Monte Carlo tsunami simulations are carried out by considering high-resolution grid data of 10 m and coastal defence structures. Significant advantages of the stochastic tsunami simulation methods include the enhanced capabilities to quantify the uncertainty associated with tsunami hazard assessments and to effectively visualize the results in an integrated manner. The results from the stochastic tsunami simulations can inform regional and local tsunami risk reduction actions in light of inevitable uncertainty associated with such tsunami hazard assessments and complement conventional deterministic tsunami scenarios and their hazard predictions, such as those developed by the Central Disaster Management Council of the Japanese Cabinet Office.

scholarly journals GIS modelling based on slope and morphology for landslide potential area in Wonosobo, Central Java

2018 ◽  
Vol 229 ◽  
pp. 03004
Author(s):  
Muhammad Chaidir Harist ◽  
Humam A. Afif ◽  
Dian Nurahandayani Putri ◽  
Iqbal Putut Ash Shidiq
Keyword(s):  
Information System ◽  
Land Uses ◽  
Vegetation Density ◽  
National Agency ◽  
Material Loss ◽  
Central Java ◽  
Gis Modelling ◽  
Potential Area ◽  
Landslide Disaster ◽  
Model Approach

National Agency for Disaster Management (BNPB) noted since early 2017 to December 4th, 2017 recorded as many as 577 incidents of landslides throughout Indonesia. Based on Indonesia Disaster Information Data (DIBI) within 2017 until now in Wonosobo District there are 9 landslide events and one of them is in Wadaslintang Sub-District where causing fatalities and material loss. Many factors can cause landslides such as rainfall, slope, geological soil type and vegetation density, which is slopes are a major factor in some landslide disaster cases. Therefore, to anticipate the loss of both casualties and material losses more in Wonosobo Regency, it is necessary to conduct a study in order to obtain landslide potential areas. The model applied to determine landslide potential areas is the SMORPH model approach by implementing slope morphology and angle/gradient of the slopes using Geographic Information System (GIS). From the results of data processing found that the area of landslide potential with the highest grade in Wonosobo district of 17% area, and for sub-district and the sub-district with the highest potential landslide is Wadaslintang with the percentage of 13.85% area. Landslides can affect a variety of land uses, and the most widely affected is a plantation with 87,07 Km2

Rancang Bangun Sistem Informasi Zakat Infaq Shodaqoh Menggunakan Metodologi Extreme Programming

2018 ◽  
Vol 9 (1) ◽  
pp. 31-42
Author(s):  
Rysa Sahrial
Keyword(s):  
Information System ◽  
The Other ◽  
Extreme Programming ◽  
Limited Time ◽  
Limited Information ◽  
Research Information ◽  
Development Method ◽  
Know How ◽  
Five Factors ◽  
Research Information System

Poverty is one continuing social issue which is hard to solve. Dealing with this problem, Islam has already had the alternative solution that is tithe (Zakat). Zakat is implemented to decrease economy imbalanced appeared in the society. While in fact, not all the Moslem pay Zakat. There are five factors as the reason why Moslem didn’t do that. First, some Muzakki wants to deliver his zakat directly.Seconde, not all Muzakki know how much Zakat must be paid. The other factors are Limited information about Mustahik home, limited time that Muzakki have to deliver his Zakat directly and the easiness to report Mustahik data. Dealing with those factors, it is required to have an information system which can make Muzakki meets Mustahik. In this research, information system application used Extreme Programming (XP) development method. XP method is required to program a system which will be made by accomodating the users’ needs and expectations.

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