Susceptibility Distribution Analysis of Tsunami Using Spatial Multi-Criteria Evaluation (SMCE) Method in Parangtritis, Indonesia

Waskita, Taufik Budi; Zahra, Rahma Aulia; Biladi, Muslih; Isnain, Muhammad Nadafa; Melati, Pegi; Insani, Anugrah Aditya; Amri, Ikhwan; Mardiatno, Djati; Putri, Ratih Fitria

doi:10.1109/icst50505.2020.9732883

Cited by 3 publications

(7 citation statements)

References 10 publications

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“…This situation is strongly supported by the relatively small level of surface roughness (BNPB, 2018). As it is directly adjacent to the shoreline, the beach is one of the landforms most likely to be exposed to tsunami waves for the first time, especially those with low-lying flat areas (Waskita et al, 2020). The alluvial plain on the backshore also has a relatively high NPV due to morphological conditions that increase tsunami susceptibility.…”

Section: Results and Discussion Npv And Weight Of Physical Factorsmentioning

confidence: 99%

“…This study used five variables for the tsunami susceptibility analysis: landform, elevation, slope, distance from the shoreline, and river. These five variables were selected based on recent literature reviews (Oktaviana et al, 2020;Waskita et al, 2020;Alwi & Mutaqin, 2022). The spatial data used in this study were collected from various sources (Table 1).…”

Section: Data Collection Techniquementioning

confidence: 99%

“…When dealing with continuous quantitative data (other than landforms), the categorization process employed the slicing technique within the ILWIS environment. The class domains were modified or referred directly to several references (Oktaviana et al, 2020;Waskita et al, 2020;Alwi & Mutaqin, 2022). Elevation (in meters above sea level/masl) consisted of five classes: ≤5.0 masl, 5.1-10.0 masl, 10.1-15.0 masl, 15.1-20.0 masl, and >20.0 masl.…”

Section: Data Collection Techniquementioning

confidence: 99%

“…This research aims to estimate the tsunami susceptibility level in the Watukarung region using the Spatial Multi-Criteria Evaluation (SMCE) module. This method can produce a reliable tsunami susceptibility map at the village level (Waskita et al, 2020;Alwi & Mutaqin, 2022). The main advantage of SMCE is that qualitative data can be involved in the modeling in addition to quantitative data.…”

Section: Introductionmentioning

confidence: 99%

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Tsunami Susceptibility Assessment Using Spatial Multi-Criteria Evaluation in Watukarung, Pacitan

Amri,

Hikmasari,

Nababan

et al. 2023

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Tsunamis are natural hazards that have the potential to cause significant damage and losses to the South Coast of Java. As the initial foundation for local spatial planning and risk reduction, preparing a tsunami susceptibility mapping is imperative to minimize the disaster's impact. This study aims to identify the spatial distribution of tsunami susceptibility in Watukarung Village, Pacitan Regency, using the Spatial Multi-Criteria Evaluation (SMCE) method. The variables involved in the modeling include landform, elevation, slope, distance from the shoreline, and distance from the river. The value and weight of each factor were determined using the pairwise technique in the SMCE framework. The research results indicated that the tsunami susceptibility in Watukarung comprises four classes: safe (598.40 ha), low (9.68 ha), moderate (23.92 ha), and high (25.13 ha). The areas most prone to tsunamis are generally identified in the southern part of Watukarung, which is generally associated with beach or alluvial plain landforms, very close to shore, and low land elevation. Ironically, human settlements and coastal tourism are overgrowing in the tsunami-prone zone, highlighting that risk reduction measures must be implemented optimally to anticipate tsunami hazards. As a recommendation, further research must be carried out to comprehensively represent the tsunami risk in the Watukarung coastal region. Keyword: Tsunami, Susceptibility, Spatial Multi-Criteria Evaluation, Watukarung, Pacitan

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Section: Results and Discussion Npv And Weight Of Physical Factorsmentioning

confidence: 99%

Section: Data Collection Techniquementioning

confidence: 99%

Section: Data Collection Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Tsunami Susceptibility Assessment Using Spatial Multi-Criteria Evaluation in Watukarung, Pacitan

Amri,

Hikmasari,

Nababan

et al. 2023

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“…In contrast, the furthest inundation distance is calculated to be in the Sukabumi Regency, about 5.8 kilometers from the coast, due to the presence of a river (Windupranata et al, 2020). Estimating tsunami susceptibility using the Spatial Multi-Criteria Evaluation (SMCE) method in Parangtritis, Yogyakarta, Indonesia (Waskita et al, 2022) shows that susceptibility index classes vary from the lowest to the highest level. The area with the lowest susceptibility level is located in Baturagung Hill.…”

Section: Introductionmentioning

confidence: 99%

Tsunami Susceptibility Analysis in Coastal Area Petanahan District, Kebumen Regency

Safira

Muryani²,

Tjahjono³

2022

Jambura Geosci. Rev.

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Petanahan sub-district has three villages directly adjacent to the sea: Karangrejo Village, Karanggadung Village, and Tegalretno Village. This study aims to analyze the level of tsunami susceptibility in the coastal area of Petanahan District in the Kebumen Regency. Analysis of the level of tsunami susceptibility using assessment methods, weighting, and map overlays using tsunami hazard parameters, including elevation, slope, land use, distance from the shoreline, and distance from rivers. Then the Weighting of the Tsunami Vulnerability Level uses the formula N = Bi X Si, where Bi is the weight on each criterion, and Si is a score on each criterion. The weighting results are then divided into five classes, very low, low, medium, high, and very high. The results of this study indicate that the tsunami hazard in a coastal area of Petanahan Regency consists of a very high class (93.904 ha/8.33%), a high class (567.804/50.35%), and a medium class of (465.962 ha/41.32%). The results of this research on the vulnerability to tsunamis can be used by the community, especially in the research area, to increase preparedness in dealing with tsunami disasters. At the same time, the Government can take policies in carrying out disaster risk reduction activities of a tsunami, especially in the research area.

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Tsunami Vulnerability Analysis Based on Coastal Typology in the Coastal Area of Ende City

Baru,

Mardiatno,

Marfai

2024

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A tsunami disaster threatens Ende City. Ende City's coastal area management policy regarding disaster mitigation must consider coastal typology. Efforts to reduce the risk of tsunamis must pay attention to the physical development of coastal land to maintain the coastal resources. Therefore, this research aimed to analyze the level of tsunami susceptibility based on coastal typology in the coastal area of Ende City. The methods used in this research are survey and spatial analysis. The survey results were compared with literature studies to determine coastal typology and land use. Spatial analysis uses overlay, scoring, and weighting techniques to produce tsunami susceptibility levels. Geospatial parameters that determine the level of susceptibility are topography, distance from the coastline, slope, distance from rivers, and coastal morphology. Susceptibility analysis is carried out for each coastal typology because each has a different response to tsunami. The research results show five classes of tsunami susceptibility: very susceptibility, susceptibility, somewhat susceptibility, safe, and very safe. Very susceptible areas are marine deposition coast typology, anthropogenic coast typology, and sub-area deposition coast typology. The secure areas are wave erosion coast typology and volcanic coast typology.Keywords: Coastal City of Ende, Coastal Typology, Tsunami, Susceptibility, Land Use.

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Susceptibility Distribution Analysis of Tsunami Using Spatial Multi-Criteria Evaluation (SMCE) Method in Parangtritis, Indonesia

Cited by 3 publications

References 10 publications

Tsunami Susceptibility Assessment Using Spatial Multi-Criteria Evaluation in Watukarung, Pacitan

Tsunami Susceptibility Assessment Using Spatial Multi-Criteria Evaluation in Watukarung, Pacitan

Tsunami Susceptibility Analysis in Coastal Area Petanahan District, Kebumen Regency

Tsunami Vulnerability Analysis Based on Coastal Typology in the Coastal Area of Ende City

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