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. 

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 Mapping vulnerability of Binh Thuan coastal zone

2013 ◽  
Vol 16 (3) ◽  
pp. 17-29
Author(s):  
Hien Thi Thu Le ◽  
Hai Quang Ha
Keyword(s):  
Coastal Zone ◽  
Shoreline Change ◽  
Vulnerability Index ◽  
Tidal Range ◽  
Coastal Vulnerability ◽  
Social Vulnerability Index ◽  
Change Rate ◽  
Coastal Vulnerability Index ◽  
Place Vulnerability ◽  
Mapping Vulnerability

Binh Thuan coastal zone, nearly 192,9 km shoreline, is well known for residential, recreational areas and minor industries. Shoreline is vulnerable to accelerated sea level rise (SLR) due to its low topography and its high ecological. The present study has been carried out with a view to assess the coastal vulnerability of SLR. Coastal vulnerability map has been built to the calculating results of the place vulnerability index (PVI). The PVI is derived by summing the CVI (coastal vulnerability index) and CSoVl (coastal social vulnerability index) scores. CVI is calculated from nine variables: Geology, geomorphology, coastal slope(%), shoreline change rate (m/yr), mean elevation (m), shoreline direction, mean tidal range (m), wave height (m) and SLR (mm/yr). We use two socioeconomic variables for CSoVI which are socioeconomic variable and relative distance to coast. Results of the vulnerable areas analysis indicate that 120,73 km2 is at very high vulnerable, 84,96 km2 high, 109,23 km2 moderate, 113,99 km2 low and 232,20 km2 very low. The method in this study which combine CVI, CSoVI and PVI together is new protocol of coastal vulnerability assessment for Vietnam coastal zone due to future SLR.

scholarly journals ANALISIS KERENTANAN PANTAI MARON DAN PANTAI TIRANG KECAMATAN TUGU, KOTA SEMARANG (Analysis of Coastal Vulnerability on the Maron Beach and Tirang Beach at Tugu Subdistrict, Semarang City)

2018 ◽  
Vol 6 (4) ◽  
pp. 555-563
Author(s):  
Danar Prabowo ◽  
Max Rudolf Muskananfola ◽  
Frida Purwanti
Keyword(s):  
Vulnerability Index ◽  
Tidal Range ◽  
Coastal Vulnerability ◽  
Index Method ◽  
Coastal Vulnerability Index ◽  
Vulnerability Index Method ◽  
Simplified Chinese ◽  
Physical Variables ◽  
Index Value ◽  
Research Show

Pantai Maron dan Pantai Tirang merupakan daerah wisata di wilayah pesisir Semarang. Nilai kerentanan pantai tersebut perlu diketahui agar pemanfaatannya tidak terganggu. Pantai Maron dan Pantai Tirang Kecamatan Tugu, Kota Semarang, dianalisis menggunakan metode CVI (Coastal Vulnerability Index), dilakukan pada bulan Mei sampai dengan Juni 2017. Tujuan penelitian ini adalah mengidentifikasi kondisi kerentanan Pantai Maron dan Pantai Tirang, dan mengetahui nilai indeks kerentanan ekosistem Pantai Maron dan Pantai Tirang, Kecamatan Tugu, Kota Semarang. Metode CVI (Coastal Vulnerabilty Index), dilakukan dengan cara menilai kerentanan pantai pada variabel kemiringan pantai, jarak tumbuhan dari pantai, pasang surut rata-rata, tinggi gelombang rata-rata, dan erosi/akresi pantai berdasarkan tabel indeks kerentanan pantai pada lima sel pantai. Hasil penelitian menunjukkan bahwa nilai CVI Pantai Maron antara 6,45 – 9,13 termasuk dalam kategori kerentanan pantai yang rendah (>20,5), sedangkan nilai CVI Pantai Tirang yaitu 10,21 dan 22,82 termasuk dalam kategori kerentanan rendah dan menengah (20,5 – 25,5). Kesimpulan yang dapat disampaikan adalah nilai kerentanan Pantai Maron dan Pantai Tirang, Kecamatan Tugu, Kota Semarang berdasarkan variabel fisik termasuk dalam kategori rendah dan menengah. Maron and Tirang beaches are tourism area in the coastal area of Semarang. The value of vulnerability of the coast should be known so its utilization will not be disturbed. The Maron Beach and Tirang Beach used Coastal Vulnerability Index method. The research was carried out from Mei to June, 2017. The aims of this study are to identify vurnerability conditions of Maron Beach and Tirang Beach, and to know vulnerability index value of Maron Beach and Tirang Beach, Tugu Subdistrict, Semarang City. CVI method used by scoring coastal vulnerability on variables of coastline slope, plants distance from the coast, average tidal range, average wave height, and coastline changes (accresion/erosion) based on table of coastal vulnerability index at five coastal cells. The research show that the CVI value of the Maron Beach 6,45 into 9,13 that include in the low coastal vulnerability category (<20,5), while CVI value of the Tirang Beach 10,21 and 22,82 that include in the low and middle coastal vulnerability category (20,5-25,5). Conclusion of this research is coastal vulnerability index of Maron Beach and Tirang Beach, Tugu Subdistrict, Semarang City based on physical variables belong to low and middle vulnerability.   GMT Detect languageAfrikaansAlbanianAmharicArabicArmenianAzerbaijaniBasqueBelarusianBengaliBosnianBulgarianCatalanCebuanoChichewaChinese (Simplified)Chinese (Traditional)CorsicanCroatianCzechDanishDutchEnglishEsperantoEstonianFilipinoFinnishFrenchFrisianGalicianGeorgianGermanGreekGujaratiHaitian CreoleHausaHawaiianHebrewHindiHmongHungarianIcelandicIgboIndonesianIrishItalianJapaneseJavaneseKannadaKazakhKhmerKoreanKurdishKyrgyzLaoLatinLatvianLithuanianLuxembourgishMacedonianMalagasyMalayMalayalamMalteseMaoriMarathiMongolianMyanmar (Burmese)NepaliNorwegianPashtoPersianPolishPortuguesePunjabiRomanianRussianSamoanScots GaelicSerbianSesothoShonaSindhiSinhalaSlovakSlovenianSomaliSpanishSundaneseSwahiliSwedishTajikTamilTeluguThaiTurkishUkrainianUrduUzbekVietnameseWelshXhosaYiddishYorubaZulu AfrikaansAlbanianAmharicArabicArmenianAzerbaijaniBasqueBelarusianBengaliBosnianBulgarianCatalanCebuanoChichewaChinese (Simplified)Chinese (Traditional)CorsicanCroatianCzechDanishDutchEnglishEsperantoEstonianFilipinoFinnishFrenchFrisianGalicianGeorgianGermanGreekGujaratiHaitian CreoleHausaHawaiianHebrewHindiHmongHungarianIcelandicIgboIndonesianIrishItalianJapaneseJavaneseKannadaKazakhKhmerKoreanKurdishKyrgyzLaoLatinLatvianLithuanianLuxembourgishMacedonianMalagasyMalayMalayalamMalteseMaoriMarathiMongolianMyanmar (Burmese)NepaliNorwegianPashtoPersianPolishPortuguesePunjabiRomanianRussianSamoanScots GaelicSerbianSesothoShonaSindhiSinhalaSlovakSlovenianSomaliSpanishSundaneseSwahiliSwedishTajikTamilTeluguThaiTurkishUkrainianUrduUzbekVietnameseWelshXhosaYiddishYorubaZulu         Text-to-speech function is limited to 200 characters  Options : History : Feedback : DonateClose

scholarly journals An Assessment of Coastal Vulnerability of Pahang’s Coast Due to Sea Level Rise

2018 ◽  
Vol 7 (3.14) ◽  
pp. 176 ◽  
Author(s):  
Fazly Amri Mohd ◽  
Khairul Nizam Abdul Maulud ◽  
Othman A. Karim ◽  
Rawshan Ara Begum ◽  
Md Firoz Khan ◽  
...  
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Local Community ◽  
Climate Extremes ◽  
Shoreline Change ◽  
Vulnerability Index ◽  
Peninsular Malaysia ◽  
Tidal Range ◽  
Coastal Vulnerability ◽  
Physical Variables

Climate change interacts in a different way with varieties of human activities and other drivers of change along coastlines. Sea level rise (SLR) is one of the major impacts of global warming. Changes in climate extremes and SLR may impact the critical infrastructures such as coastal road, jetty and chalets as well as the local community. The population and assets exposed to coastal risks will increase significantly due to population growth, economic development and urbanization in the future. As most of the cities in Malaysia are situated near the coast, immediate actions are needed to minimize the undesired outcome due to the SLR. The main objective of this study is to identify physical variables that may have impacts on the coastal area, thus develop a coastal vulnerability index (CVI) for the East Coast of Peninsular Malaysia. Seven (7) physical variables have been identified to assess the CVI that consists of geomorphology, coastal slope, shoreline change rate, mean significant wave height, mean tidal range, relative sea level rate and land use. A comprehensive CVI was obtained by integrating the differential weighted rank values of the variables. The outcome of this study is useful as a tool for coastal disaster management.  

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 Coastal vulnerability assessment of Puducherry coast, India using analytical hierarchical process

2013 ◽  
Vol 1 (2) ◽  
pp. 509-559 ◽  
Author(s):  
R. Mani Murali ◽  
M. Ankita ◽  
S. Amrita ◽  
P. Vethamony
Keyword(s):  
Vulnerability Assessment ◽  
Tamil Nadu ◽  
Vulnerability Index ◽  
Coastal Communities ◽  
Tidal Range ◽  
Economic Losses ◽  
Physical Parameters ◽  
Coastal Vulnerability ◽  
Analytical Hierarchical Process ◽  
Coastal Vulnerability Index

Abstract. Increased frequency of natural hazards such as storm surge, tsunami and cyclone, as a consequence of change in global climate, is predicted to have dramatic effects on the coastal communities and ecosystems by virtue of the devastation they cause during and after their occurrence. The tsunami of December 2004 and the Thane cyclone of 2011 caused extensive human and economic losses along the coastline of Puducherry and Tamil Nadu. The devastation caused by these events highlighted the need for vulnerability assessment to ensure better understanding of the elements causing different hazards and to consequently minimize the after-effects of the future events. This paper advocates an Analytical Hierarchical Process (AHP) based approach to coastal vulnerability studies as an improvement to the existing methodologies for vulnerability assessment. The paper also encourages the inclusion of socio-economic parameters along with the physical parameters to calculate the coastal vulnerability index using AHP derived weights. Seven physical-geological parameters (slope, geomorphology, elevation, shoreline change, sea level rise, significant wave height and tidal range) and four socio-economic factors (population, Land-use/Land-cover (LU/LC), roads and location of tourist places) are considered to measure the Physical Vulnerability Index (PVI) as well as the Socio-economic Vulnerability Index (SVI) of the Puducherry coast. Based on the weights and scores derived using AHP, vulnerability maps are prepared to demarcate areas with very low, medium and high vulnerability. A combination of PVI and SVI values are further utilized to compute the Coastal Vulnerability Index (CVI). Finally, the various coastal segments are grouped into the 3 vulnerability classes to obtain the final coastal vulnerability map. The entire coastal extent between Muthiapet and Kirumampakkam as well as the northern part of Kalapet is designated as the high vulnerability zone which constitutes 50% of the coastline. The region between the southern coastal extent of Kalapet and Lawspet is the medium vulnerability zone and the rest 25% is the low vulnerability zone. The results obtained, enable to identify and prioritize the more vulnerable areas of the region to further assist the government and the residing coastal communities in better coastal management and conservation.

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.

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