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.

scholarly journals Assessing coastal vulnerability index of tourism site: the case of Mataram Coast

2020 ◽  
Vol 153 ◽  
pp. 03002
Author(s):  
Aninda W. Rudiastuti ◽  
Ati Rahadiati ◽  
Ratna S. Dewi ◽  
Dewayany Soetrisno ◽  
Erwin Maulana
Keyword(s):  
Green Infrastructure ◽  
Critical Issue ◽  
Vulnerability Index ◽  
Coastal Areas ◽  
Risk Level ◽  
Coastal Vulnerability ◽  
Coastal Vulnerability Index ◽  
Coastal Cities ◽  
Tourism Destinations

Many coastal areas and infrastructure suffered from unprecedented hazards such as storms, flooding, and erosion. Thus, it is increasing the vulnerability of urban coastal areas aggravated with the absence of coastal green infrastructure. Given the state of coastal environments, there is a genuine need to appraise the vulnerability of coastal cities on the basis of the latest projected climate scenarios and existing condition. Hence, to asses, the vulnerability level of Mataram coastal, the Coastal Vulnerability Index (CVI) accompanied by pre-assessment of readiness to climate disruption. The CVI used to map coastal into five classes of using GIS. As a case study, this approach applied to Mataram City: one of the tourism destinations in Lombok. Two of sub-districts in Mataram City, Ampenan and Sekarbela, laying in the shorelines have undergone coastal flooding and erosion. One of them, Ampenan sub-district, experienced flooding due to river-discharge and became the most severe location during inundation. Results indicated that along ±9000 meters of Mataram coast possess vulnerability level in moderate to very high-risk level. The assessment also showed that sea-level rise is not the only critical issue but also geomorphology and shoreline changes, the existence of green infrastructure, also human activity parameters took important part to be assessed.

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.

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.

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.

scholarly journals A Preliminary Assessment of Coastal Vulnerability For Ngazidja Island, Comoros Archipelago, Western Indian Ocean

2021 ◽  
Author(s):  
Avouca Mahamoud ◽  
Maher Gzam ◽  
Nadjim Ahmed Mohamed ◽  
Soulé Hamidou Hamada ◽  
Mabrouk Montacer
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Storm Surges ◽  
Shoreline Change ◽  
Western Indian Ocean ◽  
Vulnerability Index ◽  
Small Island ◽  
Coastal Vulnerability ◽  
Preliminary Assessment ◽  
Grande Comore

Abstract In previous studies, an emphasis on the particular vulnerability of small island states to future sea-level rise and the intensity of increasing storm surges has been discussed. This preliminary assessment develops a Coastal Vulnerability Index (CVI) along the 202 km long coastline of Ngazidja Island (formerly Grande Comore, Comoros Archipelago), using fieldwork, remote sensing, and geographic information system tools (GIS). The CVI considers five structural variables: (a) geology, (b) geomorphology, (c) topography, (d) shoreline change, and (e) shoreline exposure). It also considers three physical process variables: (f) relative sea-level rise, (g) significant wave height, and (h) mean tide range). The land-use variable was added in this analysis to highlight the human asset exposure in the surrounding areas. Each variable was ranked based on local physical and hydrodynamic conditions and their vulnerability contribution to sea-level rise. The CVI was computed in 270 sections. According to the vulnerability index, approximately 57.5% of the coastline is under low and moderate vulnerability. High and very-high vulnerabilities refer specifically to beaches and shores with old volcanic lava flows located mainly in the northern, northeastern, and southeastern parts of the island, approximately 42.5% of the coastline. The lowest value of CVI is 9.2 on high, rocky cliffs and the highest value is 160 on beaches. This vulnerability partition along the coastline is consistent with in situ indicators of coastal erosion and flooding. In a sea-level rise context, it is of prime importance to integrate coastal vulnerability maps with planning and sustainable management of the coastal zone.

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