coastal vulnerability
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2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Debra Javeline ◽  
Tracy Kijewski-Correa ◽  
Angela Chesler

2022 ◽  
Vol 81 (2) ◽  
Author(s):  
Avouca Mahamoud ◽  
Maher Gzam ◽  
Nadjim Ahmed Mohamed ◽  
Hamidou Hamada Soulé ◽  
Mabrouk Montacer

2021 ◽  
Author(s):  
Namir Domingos Domingos Raimundo Lopes ◽  
Li Tianxin ◽  
Nametso Matomela ◽  
Rui Moutinho Sa

Abstract Guinea-Bissau coastlines are found highly vulnerable to coastal hazards, and this vulnerability will likely increase under future climate changes scenarios. In addition, the multi-hazardous assessment studies have not yet been conducted to clarify the status of vulnerability index to coastal hazards. Therefore, we integrated eight bio-geophysical parameters and elaborate a comprehensive Coastal Vulnerability Index to coastal hazards, stablish the rate of sea-level rise and determine the role of coastal habitats in protecting the shorelines in the Northwestern Coastline of Guinea-Bissau, by using the GIS and Coastal Vulnerability Index of InVEST Model. The study found that, out of 87 km of the studied coastlines, nearly 45 km lie in high to very-high vulnerability index. 17 km are found in a moderate vulnerability index and 25 km are found at low to very-low vulnerability index. The main responsible for high vulnerability registered in Zone-B were the wind and wave exposure, as this coastline is highly exposed to sea. The other reason was the storm surge and sea-level that rises 8.79/year, motivated by low coastal elevation. Mangrove ecosystem that are largely found in Zone-A, play very important role in protecting shoreline from coastal hazards with value 0.61, followed by forest and sand dune that are found mostly in Zone-C with 0.49 and 0.4 respectively, and saltmarsh that are relatively found in Zone-B with value 0.32. These findings can assist coastal managers in cost-effective adaptation plans, provide a scientific basis for sustainable coastal management and guidance for ecological conservation in coastal regions.


2021 ◽  
Vol 944 (1) ◽  
pp. 012045
Author(s):  
N P A R Suhita ◽  
V P Siregar ◽  
J Lumban-Gaol

Abstract Bali is one of the areas vulnerable to disasters because of its geographical position, which is flanked by two earthquake sources in the form of a subduction zone and back-arc thrust zone, which can cause a tsunami in Bali region. This research aims to identify and map the level of coastal vulnerability to the tsunami in Buleleng Regency, Bali Province. The mapping was carried out using Geographic Information System (GIS). This study used secondary data and field data. The parameters used in analyzing the level of tsunami vulnerability were land elevation, slope, landuse, distance from the beach, and distance from the river. The level of vulnerability was grouped into five classes, namely very safe (35,466.9 ha), safe (70,485.0 ha), moderately vulnerable (17,645.0 ha), vulnerable (6,903.3 ha), and very vulnerable (438.9 ha) located in the Districts of Gerokgak, Seririt, Buleleng, and Sawan which are close to the river.


2021 ◽  
Vol 214 ◽  
pp. 105916
Author(s):  
A.I.A. Hamid ◽  
A.H.M. Din ◽  
N.M. Abdullah ◽  
N. Yusof ◽  
M.R.A. Hamid ◽  
...  

2021 ◽  
Vol 879 (1) ◽  
pp. 012019
Author(s):  
M F Ramadhan ◽  
P Nuryanti

Abstract Lovina Beach is a famous tourist attraction on the northern island of Bali. This beach is somewhat unique because it has an exciting dolphin viewing attraction. However, some lack elements on-site reduce the value of beach tourism, such as unattractive design, many idle facilities, empty spaces, and puddle. This study aims to analyze and redesign the beach based on landscape engineering to overcome sustainability. The design stage consists of project acceptance, research and analysis, design, and construction drawings combined with the scoring system of the hydro-oceanographic analysis. The analysis aimed to identify the value of coastal vulnerability indexes. The results of this study are site plan concepts, perspective drawings, cut images, planting plans, and detailed engineering designs, which is formed on the results of analysis and synthesis, and preferences score. The design of this coastal waterscape will be used as a recommendation to the beach management.


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