scholarly journals Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review

2021 ◽  
Vol 9 (1) ◽  
pp. 72 ◽  
Author(s):  
Giorgio Anfuso ◽  
Matteo Postacchini ◽  
Diana Di Luccio ◽  
Guido Benassai
Keyword(s):  
Emergency Preparedness ◽  
Morphological Characteristics ◽  
Vulnerability Index ◽  
Tidal Range ◽  
Coastal Vulnerability ◽  
Natural Habitats ◽  
Factors Affecting ◽  
Cultural Aspects ◽  
Relevant Variables ◽  
Coastal Resilience

Coastal area constitutes a vulnerable environment and requires special attention to preserve ecosystems and human activities therein. To this aim, many studies have been devoted both in past and recent years to analyzing the main factors affecting coastal vulnerability and susceptibility. Among the most used approaches, the Coastal Vulnerability Index (CVI) accounts for all relevant variables that characterize the coastal environment dealing with: (i) forcing actions (waves, tidal range, sea-level rise, etc.), (ii) morphological characteristics (geomorphology, foreshore slope, dune features, etc.), (iii) socio-economic, ecological and cultural aspects (tourism activities, natural habitats, etc.). Each variable is evaluated at each portion of the investigated coast, and associated with a vulnerability level which usually ranges from 1 (very low vulnerability), to 5 (very high vulnerability). Following a susceptibility/vulnerability analysis of a coastal stretch, specific strategies must be chosen and implemented to favor coastal resilience and adaptation, spanning from hard solutions (e.g., groins, breakwaters, etc.) to soft solutions (e.g., beach and dune nourishment projects), to the relocation option and the establishment of accommodation strategies (e.g., emergency preparedness).

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 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 Study of Physical Vulnerability Mapping of the Coastal Areas of North - East Aceh

2019 ◽  
Vol 6 (4) ◽  
pp. 107
Author(s):  
Agus Sumardi ◽  
Eldina Fatimah ◽  
Nizamuddin Nizamuddin
Keyword(s):  
East Coast ◽  
Coastal Region ◽  
Vulnerability Index ◽  
Tidal Range ◽  
Coastal Vulnerability ◽  
Physical Vulnerability ◽  
North East ◽  
The North ◽  
Vulnerability Maps ◽  
Methodological Aspects

The coastal physical vulnerability study conducted in the North-East coast region of Aceh, which was focused on the calculation of the physical vulnerability index based on the Coastal Vulnerability Index (CVI) method which was integrated with the Geographic Information System (GIS) to determine the most dominant contribution to coastal vulnerability. The index is calculated based on six variables: geomorphology, coastal erosion, slope, changes in sea level, wave height and tidal range. Basically, the emphasis on methodological aspects is related to: (i) the use of GIS techniques to construct, interpolate, filter, and sample data for shoreline networks, (ii) physical vulnerability calculations using the CVI method approach, and (iii) values CVI is applied in vulnerability maps using the GIS program by providing CVI ratings to three levels, namely low, medium, and high. The results of this study indicate that the coastal physical vulnerability of the North East Aceh region is dominated by a moderate level of vulnerability of 83.61% with 51 sub-districts, and then a low vulnerability of 9.84% with 6 sub-districts, and a high vulnerability of 6.56% with 4 sub-districts out of a total of 61 Districts in 10 Regencies / Cities on the North-East coast of Aceh. According to physical conditions, each variable has the same weight, so that each variable has the same contribution to the vulnerability index of the North-East coastal region of Aceh.

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

2013 ◽  
Vol 13 (12) ◽  
pp. 3291-3311 ◽  
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. As a consequence of change in global climate, an increased frequency of natural hazards such as storm surges, tsunamis and cyclones, is predicted to have dramatic affects 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 demonstrates 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 areas) 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 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 remaining 25% is the low vulnerability zone. The results obtained enable the identification and prioritization of the more vulnerable areas of the region in order to further assist the government and the residing coastal communities in better coastal management and conservation.

scholarly journals Coastal Vulnerability Index revisited: a case study from Maricá, RJ, Brazil

2020 ◽  
Vol 72 (1) ◽  
pp. 81-99
Author(s):  
Paulo Renato Gomes Osilieri ◽  
José Carlos Sícoli Seoane ◽  
Fábio Ferreira Dias
Keyword(s):  
Sea Level ◽  
Vulnerability Index ◽  
Tidal Range ◽  
Change Scenario ◽  
Brazilian Coast ◽  
Maximum Height ◽  
Coastal Vulnerability ◽  
Human Occupation ◽  
Waves And Currents ◽  
Dune Height

The Brazilian coast is over 7000 kilometers long with many different ecosystems. Among these, are the beaches, dominated by the high dynamism caused by the action of oceanographic agents (tides, waves and currents). Human occupation of the coast for living, and the economic use of the coast (ports, tourism, fishing), increase the possibility of damaging this ecosystem. Coastal vulnerability studies are an important tool for the management of these areas, predicting how an environment can cope or recover from extreme events, for example, the rising sea level. This study aims to improve vulnerability evaluation of coastal areas, contributing to a more efficient, accountable and sustainable coastal management. To test the concept, an area at coastal Maricá, a municipality in Rio de Janeiro State, Brazil, was used. This coastline is comprised of a long sandy beach limited by rocky coastal shores. A vulnerability index was calculated from GIS data analysis of geomorphology, coastal slope, shoreline migration, tidal range, maximum height of the waves, sea level change scenario evaluation, dune height, and urban density variables for the various coastline sectors. About a third (34.69%) of the coasts have very high vulnerability, while have 34.03% high vulnerability, 25.33% have moderate and 5.95% have low vulnerability. Results obtained contribute to the planning and management of the study area, providing a tool for local environmental analysis, and establish a ranking of priorities for public action, based on different levels of vulnerability found to shoreline of Maricá.

PEMETAAN KERENTANAN PESISIR PULAU SIMEULUE DENGAN METODE CVI (COASTAL VULNERABILITY INDEX)

2017 ◽  
Vol 13 (2) ◽  
pp. 157 ◽  
Author(s):  
Ruzana Dhiauddin ◽  
Wisnu Arya Gemilang ◽  
Ulung Jantama Wisha ◽  
Guntur Adhi Rahmawan ◽  
Gunardi Kusumah
Keyword(s):  
Landsat Imagery ◽  
Shoreline Change ◽  
Vulnerability Index ◽  
Tidal Range ◽  
Physical Parameters ◽  
Coastal Vulnerability ◽  
Index Method ◽  
Coastal Morphology ◽  
Coastal Vulnerability Index ◽  
Vulnerability Index Method

The diversity function of coastal areas requires the increasing need for land and infrastructure that will lead to new problems such as changes in coastal morphology, the occurrence of erosion and accretion, which is supported by the population growth caused the increasing of coastal vulnerable towards hazards. This paper aims to explain the parameters affect Simeulue Island’s coastal vulnerability - beach slope, geomorphology, geology, shoreline change, mean tidal range and mean wave height - and its mapping. The data used were the bathymetry, tide, and currents, the topography of coastal morphology, LANDSAT imagery of 2000 and 2015. To determine the coastal vulnerability level, we implemented CVI (Coastal Vulnerability Index) method of 6 parameters. Finally, we found that CVI from these physical parameters ranges between 1.291to 5.00, which were classified into five classes; 1.291 – 1.826 (very low), 1.826 – 2.449 (low), 2.449 – 2.887 (moderate), 2.887 – 3.651(high), and 3.651 – 5.00 (very high).

scholarly journals Coastal Vulnerability Index for Kuwaiti Coast

2021 ◽  
Author(s):  
S. Neelamani ◽  
◽  
Dana Al-Houti ◽  
Alanoud Al-Ragum ◽  
Abeer Hassan Al-Saleh ◽  
...  
Keyword(s):  
Coastal Zone Management ◽  
Shoreline Change ◽  
Vulnerability Index ◽  
Management Plan ◽  
Tidal Range ◽  
Infrastructure Development ◽  
Coastal Vulnerability ◽  
Coastal Vulnerability Index ◽  
Group 2 ◽  
Group 1

Kuwait is investing significantly for the development of coastal infrastructures in many of its coastal areas. It is essential to know the vulnerability of the coast of Kuwait for the future sea level rise and other physically influencing parameters. For this purpose, a detailed study is carried out and the Coastal Vulnerability Index (CVI) is established for the Kuwaiti coast including the coasts of Islands. The CVI is assessed based on the data on coastal geomorphology, historical shoreline change rate, landward side of the coastal slope, mean significant wave height, mean tidal range and the particle size of the sediments along the beach. The total Kuwaiti coastline of 499 km is divided into two groups with a total of 162 coastal segments. The group 1 contains 138 segments and covers the mainland, Boubyan and Failaka Island. The group 2 contains 24 locations and covers Umm Al-Maradim, Qaru and Kubbar Islands. Field data collection is carried out for all these segments. From this study it is found that 5% of the Kuwaiti coastal area in group 1 are very low vulnerable; 34% low vulnerable; 31% moderately vulnerable; 18% highly vulnerable and 12% are very highly vulnerable. Similar results are obtained for group 2 coastal segments. The results of this study will be useful while preparing the Integrated Coastal Zone Management plan for Kuwaiti coast and for its sustainable coastal infrastructure development.

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.

Sign in / Sign up

Export Citation Format

Share Document