Tsunami-induced coastal change: scenario studies for Painan, West Sumatra, Indonesia

Li, Linlin; Huang, Zhenhua; Qiu, Qiang; Natawidjaja, D. H.; Sieh, Kerry

doi:10.5047/eps.2011.08.002

Cited by 21 publications

(15 citation statements)

References 60 publications

(46 reference statements)

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“…These parameters were applied following previous studies [20,26]. C eq represents the equilibrium sediment concentration calculated according to [21] as the following approximation:…”

Section: ∂Hc ∂Tmentioning

confidence: 99%

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Numerical Simulation of Morphological Changes due to the 2004 Tsunami Wave around Banda Aceh, Indonesia

et al. 2019

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The 2004 Indian Ocean tsunami caused massive morphological changes around the coast of Sumatra, Indonesia. This research investigates the coastal morphological changes in the Banda Aceh area via coupling a hydrodynamic model with a sediment transport module. The Cornell Multigrid Coupled Tsunami Model (COMCOT) was coupled with the XBeach Model to simultaneously simulate sediment transport and the hydrodynamic process during the tsunami. The coupled model is known as COMCOT-SED. Field bathymetric data measured in 2006 were used to validate the coupled model. This study reveals that the tsunami’s impact was more severe on the eastern part of the coast, where it hit directly. Meanwhile, the western part of the coast suffered a lower impact because of the sheltering effects from a series of small islands and a headland to the north. This study has shown that the model results from COMCOT-SED are consistent with field data and show where the tsunami waves caused offshore erosion.

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“…These parameters were applied following previous studies [20,26]. C eq represents the equilibrium sediment concentration calculated according to [21] as the following approximation:…”

Section: ∂Hc ∂Tmentioning

confidence: 99%

“…The studies revealed that the COMCOT-SED model results were consistent with measurements of tsunami deposit data. This model has also been used to investigate the impact of morphological change from a future tsunami in Painan, West Sumatra, Indonesia [21].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Morphological Changes due to the 2004 Tsunami Wave around Banda Aceh, Indonesia

et al. 2019

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“…Coastal topography may constantly change with numerous oceanic and physical processes including tidal flooding, SLR, and tsunami effect. This may cause sinking of low-land areas, and erosion of sediments which is a great concern for coastal researchers and investigators [10][11][12][13][14]. Further sediments excavation, river modification and construction along coastal areas also play an important role in coastal areas including the BIs [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Variability of Open-Ocean Barrier Islands along the Indus Delta Region

et al. 2019

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Barrier islands (BIs) have been designated as the first line of defense for coastal human assets against rising sea level. Global mean sea level may rise from 0.21 to 0.83 m by the end of 21st century as predicted by the Intergovernmental Panel on Climate Change (IPCC). Although the Indus Delta covers an area of 41,440 km² surrounded by a chain of BIs, this may result in an encroachment area of 3750 km2 in Indus Delta with each 1 m rise of sea level. This study has used a long-term (1976 to 2017) satellite data record to study the development, movement and dynamics of BIs located along the Indus Delta. For this purpose, imagery from Landsat Multispectral Scanner (MSS), Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI) sensors was used. From all these sensors, the Near Infrared (NIR) band (0.7–0.9 µm) was used for the delineation and extraction of the boundaries of 18 BIs. It was found that the area and magnitude of these BIs is so dynamic, and their movement is so great that changes in their positions and land areas have continuously been changing. Among these BIs, 38% were found to be vulnerable to oceanic factors, 37% were found to be partially vulnerable, 17% remained partially sustainable, and only 8% of these BIs sustained against the ocean controlling factors. The dramatic gain and loss in area of BIs is due to variant sediment budget transportation through number of floods in the Indus Delta and sea-level rise. Coastal protection and management along the Indus Delta should be adopted to defend against the erosive action of the ocean.

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“…The combination of demographic, geomorphological, geological, and shoreline change data obtained from remote sensing accommodates a representative resilience assessment in Seribu Islands, Jakarta [20]. In addition, shoreline data, obtained using remote sensing technology, can be used as an input for modeling tsunami inundation [21] and identifying the impacts of climate change and sea level rise-induced environmental change [22].…”

Section: Introductionmentioning

confidence: 99%

Shoreline changes analysis in Kuwaru coastal area, Yogyakarta, Indonesia: An application of the Digital Shoreline Analysis System (DSAS)

Mutaqin¹

2017

Int. J. SDP

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In the last 20 years, Kuwaru coastal area has been under constant threat from both physical and nonphysical processes. Such threat is exacerbated by the fact that this coastal area is mainly composed of loose sediment materials that are easily eroded and re-deposited as a response to disturbance. One of the threats is shoreline change. This research aims to analyze the shoreline change in Kuwaru coastal area with the aid of the Digital Shoreline Analysis System. Shoreline changes in the coastal area affects tourism and fishery activities, causes loss of land, and damages infrastructures, all of which mark the urgency of shoreline change analysis. Shoreline change is identified with an interdisciplinary approach, i.e. the integration of remote sensing technology and Geographic Information Systems (GIS). The topographic maps published in 1995 and the multi-temporal satellite imagery in 2006-2015 are used as initial information in acquiring necessary shoreline data. Shoreline change is analyzed using the End Point Rate (EPR) technique. Shoreline data in 1995 is used as the baseline in analyzing the rate of shoreline change. Furthermore, transects spaced at 50-meter intervals along the shoreline stretch landward and perpendicularly to the baseline. EPR results in either positive or negative values that indicate accretion or erosion, respectively. This research finds that the shoreline of Kuwaru coastal area has changed significantly since 1995. In general, from 1995 to 2015, the shoreline shifted by more than 50 meters landward. Extreme weather during the East Monsoon is one of the many factors that induce destructive waves in the research area. Sea waves of up to 5 meters in height hit the southern part of the research area from the southeast. Consequently, coastal mitigation efforts, which factor in the dynamics of coastal processes, have to be implemented immediately through structural mitigation or non-structural mitigation.

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Tsunami-induced coastal change: scenario studies for Painan, West Sumatra, Indonesia

Cited by 21 publications

References 60 publications

Numerical Simulation of Morphological Changes due to the 2004 Tsunami Wave around Banda Aceh, Indonesia

Numerical Simulation of Morphological Changes due to the 2004 Tsunami Wave around Banda Aceh, Indonesia

Spatial and Temporal Variability of Open-Ocean Barrier Islands along the Indus Delta Region

Shoreline changes analysis in Kuwaru coastal area, Yogyakarta, Indonesia: An application of the Digital Shoreline Analysis System (DSAS)

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