Coastal Vulnerability Assessment Based on Multi-Hazardous Events. Case study: Northwestern Coastline of Guinea-Bissau (NC-GB)

2021 ◽  
Author(s):  
Namir Domingos Domingos Raimundo Lopes ◽  
Li Tianxin ◽  
Nametso Matomela ◽  
Rui Moutinho Sa
Keyword(s):  
Sea Level ◽  
Cost Effective ◽  
Mangrove Ecosystem ◽  
Vulnerability Index ◽  
Scientific Basis ◽  
Coastal Hazards ◽  
Coastal Vulnerability ◽  
Coastal Vulnerability Index ◽  
Invest Model ◽  
Guinea Bissau

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.

TOWARDS THE IMPLEMENTATION OF CONTINUOUS COASTAL VULNERABILITY INDEX IN MALAYSIA: A REVIEW

2014 ◽  
Vol 71 (4) ◽  
Author(s):  
Gill J. Ainee ◽  
A.M. Anwar ◽  
S. Omar K
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Vulnerability Index ◽  
Coastal Vulnerability ◽  
Pilot Projects ◽  
The West ◽  
Adaptation Measures ◽  
Coastal Vulnerability Index ◽  
Mitigation And Adaptation ◽  
Implementation Approach

Climate change has brought about many threats to the ecosystem by inducing natural hazards, particularly sea level rise. Coastal areas then are subjected to many adverse effects of sea level rise, hence posing a risk to the safety of the coastal population, resources and assets. As part of the mitigation and adaptation measures against these effects, the Coastal Vulnerability Index (CVI) was implemented by many coastal regions. The CVI is an index-based tool to map the risks related to coastal changes. In Malaysia, the practice of CVI is still in its initial stages. Whereby, the Department of Irrigation and Drainage (DID) Malaysia had earlier carried out two pilot projects on CVI. The first is located at Tanjung Piai and the second at the west coast of Pulau Langkawi. This paper reviews the definition and concept of CVI. An alternative implementation approach of CVI in Malaysia is also discussed.

scholarly journals COASTAL VULNERABILITY INDEX ANALYSIS IN THE ANYER BEACH SERANG DISTRICT, BANTEN

SINERGI ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 17
Author(s):  
Mawardi Amin ◽  
Ika Sari Damayanthi Sebayang ◽  
Carolina Masriani Sitompul
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Wave Height ◽  
Shoreline Change ◽  
Vulnerability Index ◽  
Physical Parameters ◽  
Coastal Vulnerability ◽  
Coastal Vulnerability Index ◽  
Tourist Destinations ◽  
Index Analysis

Anyer Beach is one of the famous tourist destinations. In addition to tourist destinations, the Anyer beach also has residential and industrial areas. In managing coastal areas, a study of vulnerability is needed due to threats from sea level rise, abrasion/erosion and also high waves that can damage infrastructure and cause losses. The research method is to collect data of hydro-oceanography, coastal vulnerability index calculates (Coastal Vulnerability Index). The coastal vulnerability index is a relative ranking method based on the index scale physical parameters such as geomorphology, shoreline change, elevation, sea level rise, mean tidal, wave height. On the results of the analysis of the criteria of vulnerability based on the parameters of geomorphology in the category of vulnerable with scores of 4, shoreline change in the category of vulnerable with a score of 4, the elevation in the category of extremely vulnerable with scores of 5, sea level rise into the medium category with a score of 3, mean tidal in the category less susceptible with a score of 2, the wave height is very vulnerable in the category with a score of 5. The variable that most influences the vulnerability of Anyer Beach is elevation and wave height.

scholarly journals Application of a Coastal Vulnerability Index. A Case Study along the Apulian Coastline, Italy

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1218 ◽  
Author(s):  
Daniela Pantusa ◽  
Felice D’Alessandro ◽  
Luigia Riefolo ◽  
Francesca Principato ◽  
Giuseppe Tomasicchio
Keyword(s):  
Sea Level ◽  
Physical Process ◽  
Storm Surges ◽  
Posidonia Oceanica ◽  
Vulnerability Index ◽  
Coastal Vulnerability ◽  
Coastal Vulnerability Index ◽  
Beach Width ◽  
Accretion Rates

The coastal vulnerability index (CVI) is a popular index in literature to assess the coastal vulnerability of climate change. The present paper proposes a CVI formulation to make it suitable for the Mediterranean coasts; the formulation considers ten variables divided into three typological groups: geological; physical process and vegetation. In particular, the geological variables are: geomorphology; shoreline erosion/accretion rates; coastal slope; emerged beach width and dune width. The physical process variables are relative sea-level change; mean significant wave height and mean tide range. The vegetation variables are width of vegetation behind the beach and posidonia oceanica. The first application of the proposed index was carried out for a stretch of the Apulia region coast, in the south of Italy; this application allowed to (i) identify the transects most vulnerable to sea level rise, storm surges and waves action and (ii) consider the usefulness of the index as a tool for orientation in planning strategies. For the case study presented in this work, the most influential variables in determining CVI are dune width and geomorphology. The transects that present a very high vulnerability are characterized by sandy and narrow beaches (without dunes and vegetation) and by the absence of Posidonia oceanica.

Towards Efficient Assessment of Coastal Vulnerability to Sea Level Rise

2021 ◽  
Vol 14 (9) ◽  
pp. 34-42
Author(s):  
Sh El-Shahat
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Vulnerability Index ◽  
Quantitative Model ◽  
Dominant Factor ◽  
Square Root ◽  
Coastal Vulnerability ◽  
Coastal Vulnerability Index ◽  
Model Studies ◽  
Model Based

Vulnerability is a compact term that represents an accumulative range of exposure, sensitivity and resilience of a system against both internal and external hazards. In light of this conceptual diagnosis, vulnerability assessment studies can measure the degree of a gap in which the system is vulnerable against various hazards by customizing a quantitative model while qualitative model studies indicate gap points. The results of quantitative models vary according to the adopted formula and the customized parameters. The study aims to improve the efficiency of the "coastal vulnerability index (CVI)" method which is used to assign degrees of coastal vulnerability to sea level rise (SLR). The study is using a comparative analytical approach to empirically assess the vulnerability of the African coast to SLR based on a selected group of physical and socioeconomic parameters (seventeen parameters). Although the first model, based on a formula of the square root of product mean and the second model, based on a formula of average of the square root of product sum, have a positive correlation with semistrong relation (+ 0.65), their results are varied. It is found that the first model is used when there is a dominant parameter in the study while the second model is used when there is an equality between parameter weights. Topography associated with proximity to the coast is a dominant factor when assessing the vulnerability of an area to SLR threat.

scholarly journals Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai Indramayu

2012 ◽  
Vol 26 (1) ◽  
pp. 65 ◽  
Author(s):  
Faizal Kasim ◽  
Vincentius P. Siregar
Keyword(s):  
Sea Level ◽  
Vulnerability Index ◽  
Tidal Range ◽  
Coastal Vulnerability ◽  
Gis Technology ◽  
Coastal Vulnerability Index ◽  
Research Activities ◽  
Gis Technique ◽  
Result Show ◽  
Rank Score

The increasing of sea level due to climate change has been focused many research activities in order to know the coastal response to the change, and determine the important variables which have contribution to the coastal change. This paper presents a method for integrating Coastal Vulnerability Index (CVI), Multi Criteria Analysis (MCA) method and Geographic Information-System (GIS) technology to map the coastal vulnerability. The index is calculated based-on six variables: coastal erosion, geomorphology, slope, significant wave height, sea level change and tidal range. Emphasize has been made to the methodological aspect, essentially which is linked to: (i) the use of GIS technique for constructing, interpolation, filtering and resampling the data for shoreline grid, (ii) the standardization each rank of variables (0-1) and the use of several percentile (20%, 40%, 60%, and 80%) for each rank score, and (iii) the use of variable’s rank to map the relative (local) and standard (global) vulnerability of the coastline. The result show that for local, the index consist of four categories: very high (19.61%), high (68.63%), moderate (1,96%), and low (9.80%). Meanwhile, for global level, the index is constantly in low category.

scholarly journals ASSESSMENT OF SUSCEPTIBILITY TO SΕA-LΕVEL RISE IN THE COASTAL AREA OF PIERIA PREFECTURE

2017 ◽  
Vol 50 (3) ◽  
pp. 1721
Author(s):  
A. Mavromatidi ◽  
E. Karymbalis
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Accretion Rate ◽  
Vulnerability Index ◽  
Coastal Areas ◽  
Tidal Range ◽  
Coastal Vulnerability Index ◽  
Economic Significance ◽  
Very High

Tourism development in Greece has led to increasing pressure on coastal areas, which makes the study of sensitive coastal areas essential, in order to find appropriate solutions for their shielding. The aim of this study is an estimation of the effects of an anticipated sea level rise for the touristically developed part of Pieria Prefecture, which includes the settlements Paralia, Skala of Katerini, Olympic Beach, Korinos Beach and extends north to the area of the Kitrous saltworks and south to the mouth of Mavroneri river. Therefore the Coastal Vulnerability Index (CVI) is applied, in an attempt to determine the susceptible parts to the potential sea level rise. CVI depends on the following parameters: (a) coastal geomorphology, (b) coastal slope, (c) shoreline erosion/accretion rate, (d) relative sea-level rise fluctuations, (e) mean tidal range and (f) mean significant wave height. The classification of the coast, which is of particular socio-economic significance since it hosts urbanized areas, into five CVI classes (from very low vulnerability to very high vulnerability), showed that 43.6% of the entire coastline is of very high vulnerability. 

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