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Şen, Zekâi. "Navigating Coastal Vulnerability: Introducing the Coastal Fuzzy Vulnerability Index (CFVI)." Journal of Marine Science and Engineering 13, no. 5 (2025): 978. https://doi.org/10.3390/jmse13050978.
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Vulnerability impacts have increased in an unprecedented way with the effects of global warming, climate change, erosion, sea level rise, tsunami, flood, and drought—natural events that jointly cause geomorphological changes, especially in coastal zones. There are no analytical mathematical formulations under a set of assumptions due to the complexity of the interactive associations of these natural events, and the only way that seems open in the literature is through empirical formulations that depend on expert experiences. Among such empirical formulations are the Coastal Vulnerability Index (CVI), the Environmental Vulnerability Index (EVI), the Socioeconomic Vulnerability Index (SVI), and the Integrated Coastal Vulnerability Index (ICVI), which is composed of the previous indices. Although there is basic experience and experimental information for the establishment of these indices, unfortunately, logical aspects are missing. This paper proposes a Coastal Fuzzy Vulnerability Index (CFVI) based on fuzzy logic, aiming to improve the limitations of the traditional Coastal Vulnerability Index (CVI). Traditional CVI relies on binary logic and calculates vulnerability through discrete classification (such as “low”, “medium”, and “high”) and arithmetic or geometric means. It has problems such as mutation risk division, ignoring data continuity, and unreasonable parameter weights. To this end, the author introduced fuzzy logic, quantified the nonlinear effects of various parameters (such as landforms, coastal slope, sea level changes, etc.) through fuzzy sets and membership degrees, and calculated CFVI using a weighted average method. The study showed that CFVI allows continuous transition risk assessment by fuzzifying the parameter data range, avoiding the “mutation” defect of traditional methods. Taking data from the Gulf of Mexico in the United States as an example, the calculation result range of CFVI (0.38–3.04) is significantly smaller than that of traditional CVI (0.42–51), which is closer to the rationality of actual vulnerability changes. The paper also criticized the defects of traditional CVI, being that it relies on subjective experience and lacks a logical basis, and pointed out that CFVI can be expanded to integrate more variables or combined with other indices (such as the Environmental Vulnerability Index (EVI)) to provide a more scientific basis for coastal management decisions. This study optimized the coastal vulnerability assessment method through fuzzy logic, improved the ability to handle nonlinear relationships between parameters, and provided a new tool for complex and dynamic coastal risk management. Further research possibilities are also mentioned throughout the text and in the Conclusion section.
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Pamungkas, Rifky Jati, Gusti Diansyah, and Teungku Zia Ulqodry. "COASTAL VULNERABILITY MAPPING OF KALIANDA COAST, SOUTH LAMPUNG, USING COASTAL VULNERABILITY INDEX (CVI) METHOD." MARLIN 2, no. 1 (2021): 107. http://dx.doi.org/10.15578/marlin.v2.i1.2021.107-114.
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The coastal region is a strategic area that has enormous potential. Kalianda is one of the coastal areas in South Lampung which has great potential with the main activities are fisheries and marine tourism, but it is also vulnerable to physical effects. The purpose of this study was to assess the vulnerability of physical parameters and to analyze the level of Coastal Vulnerability Index (CVI) in Kalianda, South Lampung. The results showed that the vulnerability level of the Kalianda Coast based on the rate of shoreline change and geomorphological parameters were at a very high level of vulnerability. Whereas based on the parameters of the mean significant wave height, the average tidal tides and beach slope, the Kalianda Coast was at a low level of vulnerability. Overall, the results of the analysis indicated that CVI value ranged from 3.10 to 9.94, which categorized as low and medium vulnerability levels. Distribution of Kalianda coastal vulnerability level along 3.30 km (11.29%) was at low vulnerability level and along 25.98 km (88.71%) was categorized as medium vulnerability level.
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Pamungkas, Rifky Jati, Gusti Diansyah, and Teungku Zia Ulqodry. "COASTAL VULNERABILITY MAPPING OF KALIANDA COAST, SOUTH LAMPUNG, USING COASTAL VULNERABILITY INDEX (CVI) METHOD." MARLIN 2, no. 1 (2021): 107. http://dx.doi.org/10.15578/marlin.v2.i1.2021.107-114.
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The coastal region is a strategic area that has enormous potential. Kalianda is one of the coastal areas in South Lampung which has great potential with the main activities are fisheries and marine tourism, but it is also vulnerable to physical effects. The purpose of this study was to assess the vulnerability of physical parameters and to analyze the level of Coastal Vulnerability Index (CVI) in Kalianda, South Lampung. The results showed that the vulnerability level of the Kalianda Coast based on the rate of shoreline change and geomorphological parameters were at a very high level of vulnerability. Whereas based on the parameters of the mean significant wave height, the average tidal tides and beach slope, the Kalianda Coast was at a low level of vulnerability. Overall, the results of the analysis indicated that CVI value ranged from 3.10 to 9.94, which categorized as low and medium vulnerability levels. Distribution of Kalianda coastal vulnerability level along 3.30 km (11.29%) was at low vulnerability level and along 25.98 km (88.71%) was categorized as medium vulnerability level.
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Hamid, A. I. A., A. H. M. Din, N. Yusof, N. M. Abdullah, A. H. Omar, and M. F. Abdul Khanan. "COASTAL VULNERABILITY INDEX DEVELOPMENT: A REVIEW." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 229–35. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-229-2019.
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Abstract. Coastal vulnerability Index (CVI), is one of the predictive approaches to coastal classification by incorporating various coastal variables. This approach is favoured in the coastal investigation as it simplifies a number of complex parameters. However, it comes greatly as to why such assessment is developed in the first place; a) to facilitate coastal management in recent coastal condition, b) to classify potential shoreline responses to future sea-level rise, and c) for management of data storage. Index development in coastal investigation is one of the present-day technique used to estimate the vulnerability of the coast and is affected by a diverse range of variables. The widespread use of contemporary technology nowadays has led to a favourable coastal component to be considered in determining coastal vulnerability and environmental risk analysis. Therefore, it must be guided by acknowledging appropriate data to be used at spatial scale of interest, the geomorphology of the area concerns and etc. USA and European countries like Northern Ireland are one of the forefront country in addressing the significance of CVI in protecting coastal area. A stepwise approach to development of CVI is discussed in detail in this paper. Besides, the potential of including coastal components based on special characteristic at particular coasts for coastal vulnerability analysis are also reviewed. CVI eventually will assist coastal communities in providing guidance for mitigation of coastal threats in future urban development.
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Ago, Besnik, Shkelqim Daja, and Cercis Durmishi. "Coastal Vulnerability Index (CVI) Assessment for the Central Part of the Albanian Coast." International Journal of Science and Research (IJSR) 10, no. 6 (2021): 1446–50. https://doi.org/10.21275/sr21612015907.
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Prabowo, Danar, Max Rudolf Muskananfola, and Frida Purwanti. "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)." Management of Aquatic Resources Journal (MAQUARES) 6, no. 4 (2018): 555–63. http://dx.doi.org/10.14710/marj.v6i4.21348.
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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
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Paharuddin, Paharuddin, Irawan Alham, Muhammad Nadir, and Syamsul Hadi. "Coastal Vulnerability Index Of Segeri, Pangkajene And Islands Regency." International Journal of Technology and Education Research 1, no. 02 (2023): 100–110. https://doi.org/10.63922/ijeter.v1i02.353.
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The coastal area of Segeri sub-district, Pangkajene and Kepulauan Regency is a zone that is prone to natural phenomena of sea level rise. The impact received due to this phenomenon is something that needs to be studied to identify the level of coastal vulnerability and project changes in coastal vulnerability in the future. This study aims to calculate the coastal vulnerability index and project changes in vulnerability in the future due to changes in factors that affect coastal vulnerability.This research was conducted in August – December 2022 in Segeri District, namely in, Bone, Bawasalo and Bonto Matene Villages. The methods or approaches used in analyzing the data are: 1) analysis of coastal ecosystems and resources, 2) analysis of the physical and social characteristics of the community, 3) analysis of the vulnerability of the coastal environment. The Vulnerability Scoping Diagram (VSD) models places exposure, sensitivity and adaptive capacity as dimensions of vulnerability. The components of the exposure dimension consist of coastal dynamics, natural disturbances and population. The components of the sensitivity dimension are the characteristics of the coast, land use, and population settlements. The dimensions of adaptability include coastal habitats and marine conservation areas. Based on the scores of each parameter on the three dimensions, the coastal vulnerability index (IKP) in the three locations is in the range of IKP values of 7.96 - 9.59 which is included in the category of moderate vulnerability. Factors that are very influential on the IKP are the dimensions of sensitivity including: erosion, waves and tides caused by oceanographic factors so that if adaptation and mitigation efforts are not carried out, it is likely that in the next 5-10 years, the level of vulnerability can become high and even very high. Adaptation efforts that can be done are strengthening the coastal border area, planting and expanding mangrove trees in the coastal area of Segeri.
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Mani Murali, R., M. Ankita, S. Amrita, and P. Vethamony. "Coastal vulnerability assessment of Puducherry coast, India using analytical hierarchical process." Natural Hazards and Earth System Sciences Discussions 1, no. 2 (2013): 509–59. http://dx.doi.org/10.5194/nhessd-1-509-2013.
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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.
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Mani Murali, R., M. Ankita, S. Amrita, and P. Vethamony. "Coastal vulnerability assessment of Puducherry coast, India, using the analytical hierarchical process." Natural Hazards and Earth System Sciences 13, no. 12 (2013): 3291–311. http://dx.doi.org/10.5194/nhess-13-3291-2013.
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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.
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Naik, Deepa D., and Pravin D. Kunte. "Integrated Coastal Vulnerability Assessment: A Study of Karnataka, India." Disaster Advances 16, no. 7 (2023): 18–30. http://dx.doi.org/10.25303/1607da018030.
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Coastal regions are changing due to environmental pressures and anthropogenic impacts such as coastal development and planning, ultimately becoming sensitive to unpredicted natural and manmade calamities. The scientific assessment requires an understanding of the relative vulnerability of the coast across a region, and, for this purpose, vulnerability indices are often used. This study is an integrated coastal vulnerability index for the Karnataka coastline, incorporating both physical variables and socio-economic indicators. To study the overall vulnerability of a region at the taluka level using the typical physical variables characterizing coastal vulnerability e.g. historical shoreline change, rate of relative sea-level change, coastal regional elevation, coastal slope, mean tidal range, significant wave height and geomorphology. Physical indicators are then combined with the outcomes of an assessment of socio-economic vulnerability developed using population and tourist density and education as indicators like human development index (HDI), composite taluka development index (CTDI) and urban development index (UDI), resulting in a more holistic assessment of vulnerability. The resulting vulnerability map describes the taluka as most vulnerable to physical indicators and also provides information on the nature of vulnerability in terms of its physical and socio-economic components intending to inform adaptation decision-making.
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Rudiastuti, Aninda W., Ati Rahadiati, Ratna S. Dewi, Dewayany Soetrisno, and Erwin Maulana. "Assessing coastal vulnerability index of tourism site: the case of Mataram Coast." E3S Web of Conferences 153 (2020): 03002. http://dx.doi.org/10.1051/e3sconf/202015303002.
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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.
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Zhu, Zheng-Tao, Feng Cai, Shen-Liang Chen, et al. "Coastal Vulnerability to Erosion Using a Multi-Criteria Index: A Case Study of the Xiamen Coast." Sustainability 11, no. 1 (2018): 93. http://dx.doi.org/10.3390/su11010093.
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The assessment of coastal vulnerability to erosion is urgently needed due to increasing coastal erosion globally. Based on the coastal characteristics of the Xiamen artificial coastline, which accounts for more than 80% of the coastline in this area, this study provides an integrated approach based on a multi-criteria index. The evaluation index system of the local coastal vulnerability to the erosion of Xiamen includes 12 indexes based on natural (coastal characteristics, coastal forcing), and socio-economic factors (coastal infrastructure, disaster reduction). The spatial differentiation characteristics of the coastal vulnerability to erosion along the Xiamen coast (2018) have been quantitatively assessed with the aid of GIS (Geographic Information System) and RS (Remote Sensing) technology. The results show that the very high vulnerability, high vulnerability, medium vulnerability, low vulnerability and very low vulnerability areas of coastal erosion accounted for 4.6%, 30.5%, 51.6%, 12.5% and 0.8% of the Xiamen coast, respectively. The coastal vulnerability to erosion classes of artificial coasts is significantly higher than those of natural coasts. This difference is mainly controlled by the coastal slope and coastal buffer ability. The results of the evaluation are basically consistent with the present situation. The rationality of the index system and the applicability of the theoretical method are well explained. The evaluation model constructed in this study can be extended to other areas with high ratios of artificial coasts.
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Loinenak, Frida Aprilia, Agus Hartoko, and Max Rudolf Muskananfola. "Mapping of Coastal Vulnerability using the Coastal Vulnerability Index and Geographic Information System." International Journal of Technology 6, no. 5 (2015): 819. http://dx.doi.org/10.14716/ijtech.v6i5.1361.
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Paharuddin and Irawan Alham. "Assessment Vulnerability Index of West Coast of South Sulawesi, Indonesia: A Case Study in Segeri Beach, Pangkajene and Islands Regency." Asian Journal of Environment & Ecology 21, no. 1 (2023): 26–33. http://dx.doi.org/10.9734/ajee/2023/v21i1450.
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The coastal area of Segeri Sub-district, Pangkajene and Island Regency, as one of the areas along the West Coast of South Sulawesi, is a zone prone to the natural phenomenon of sea level rise. The impact of this phenomenon needs to be studied to identify the level of coastal vulnerability and project changes in coastal vulnerability in the future. The research aims to calculate the coastal vulnerability index and project changes in vulnerability in the future due to changes in factors that affect coastal vulnerability. This research was conducted for five months at Bone-Village Beach of area Bawasalo and Bontomatene Segeri Sub-district, Pangkajene and Islands Regency, South Sulawesi, Indonesia. The method of data analysis carried out is the Analysis of coastal ecosystems and resources, analysis of physical and social characteristics of the community, and analysis of coastal environmental vulnerability with the Vulnerability Scoping Diagram (VSD) model that places exposure, sensitivity, and adaptive capacity as dimensions of Vulnerability Index. The components of the exposure dimension consist of coastal dynamics, natural disturbances, and population. Components of the sensitivity dimension are coastal characteristics, land use, and human settlements. The adaptive capacity dimension includes coastal habitat and marine conservation areas. Based on the score of each parameter in the three dimensions, the Coastal Vulnerability Index (CVI) of all observed locations is in the range of CVI values 7.96 - 9.59, which means the category of Moderate Vulnerability. Factors that strongly influence the CVI are the sensitivity dimensions, including Erosion, waves, and tides caused by oceanographic factors so; that if The Segeri Coastal Area does not make adaptation and mitigation efforts, then the possibility of the next 5 - 10 years, the level of Coastal vulnerability Index can be a high or very high Vulnerability. Adaptation efforts that can be made are strengthening the coastal boundary area, planting and expanding mangrove trees in the Segeri coastal area.
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Li, K., and G. S. Li. "Vulnerability assessment of storm surges in the coastal area of Guangdong Province." Natural Hazards and Earth System Sciences 11, no. 7 (2011): 2003–10. http://dx.doi.org/10.5194/nhess-11-2003-2011.
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Abstract. Being bordered by the South China Sea and with long coastline, the coastal zone of Guangdong Province is often under severe risk of storm surges, as one of a few regions in China which is seriously threatened by storm surges. This article systematically analyzes the vulnerability factors of storm surges in the coastal area of Guangdong (from Yangjing to Shanwei). Five vulnerability assessment indicators of hazard-bearing bodies are proposed, which are social economic index, land use index, eco-environmental index, coastal construction index, and disaster-bearing capability index. Then storm surge vulnerability assessment index system in the coastal area of Guangdong is established. Additionally, the international general mode about coastal vulnerability assessment is improved, and the vulnerability evolution model of storm surges in the coastal area of Guangdong is constructed. Using ArcGIS, the vulnerability zoning map of storm surges in the study region is drawn. Results show that there is the highest degree of storm surge vulnerability in Zhuhai, Panyu, and Taishan; second in Zhongshan, Dongguan, Huiyang, and Haifeng; third in Jiangmen, Shanwei, Yangjiang, and Yangdong; fourth in Baoan, Kaiping, and Enping; and lowest in Guangzhou, Shunde, Shenzhen, and Longgang. This study on the risk of storm surges in these coastal cities can guide the land use of coastal cities in the future, and provide scientific advice for the government to prevent and mitigate the storm surge disasters. It has important theoretical and practical significance.
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Theocharidis, Christos, Maria Prodromou, Marina Doukanari, et al. "Integrated Coastal Vulnerability Index (ICVI) Assessment of Protaras Coast in Cyprus: Balancing Tourism and Coastal Risks." Geographies 5, no. 1 (2025): 12. https://doi.org/10.3390/geographies5010012.
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Coastal areas are highly dynamic environments, vulnerable to natural processes and human interventions. This study presents the first application of the Integrated Coastal Vulnerability Index (ICVI) in Cyprus, focusing on two major tourism-dependent beaches, Fig Tree Bay and Vrysi Beach, located along the Protaras coastline. Despite their economic significance, these coastal areas face increasing vulnerability due to intensive tourism-driven modifications and natural coastal dynamics, necessitating a structured assessment framework. This research addresses this gap by integrating the ICVI with geographical information system (GIS) and analytic hierarchy process (AHP) methodologies to evaluate the coastal risks in this tourism-dependent environment, providing a replicable approach for similar Mediterranean coastal settings. Ten key parameters were analysed, including coastal slope, rate of coastline erosion, geomorphology, elevation, tidal range, wave height, relative sea level rise, land cover, population density, and road network. The results revealed spatial variations in vulnerability, with 16% of the coastline classified as having very high vulnerability and another 16% as having high vulnerability. Fig Tree Bay, which is part of this coastline, emerged as a critical hotspot due to its geomorphological instability, low elevation, and intensive human interventions, including seasonal beach modifications and infrastructure development. This study underscores the need for sustainable coastal management practices, including dune preservation, controlled development, and the integration of the ICVI into planning frameworks to balance economic growth and environmental conservation.
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Sumardi, Agus, Eldina Fatimah, and Nizamuddin Nizamuddin. "Study of Physical Vulnerability Mapping of the Coastal Areas of North - East Aceh." International Journal of Multicultural and Multireligious Understanding 6, no. 4 (2019): 107. http://dx.doi.org/10.18415/ijmmu.v6i4.944.
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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.
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Suhelmi, Ifan Ridlo, and Hariyanto Triwibowo. "Coastal Inundation Adaptive Strategy in Semarang Coastal Area." Forum Geografi 32, no. 2 (2018): 195–203. http://dx.doi.org/10.23917/forgeo.v32i2.5672.
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Semarang Coastal has a high level of vulnerability to inundation, river flooding and tidal flooding. To solve the problems, a region has an adaptive capacity to the phenomena encountered. The aims of study to map the level of vulnerability and adaptive capacity of the region in facing the phenomenon and provide an alternative strategy in facing the impact of inundation in coastal areas. Based on capacity index and vulnerability index in 2015, most urban villages are located in quadrant 3 (58 villages), in quadrant 1 (36 villages) and quadrant 4 (5 villages). the results showed that most of villages located at coastal areas had a high vulnerability with low adaptive capacity. Considering spatial planning (RTRW) for 2030, population density changes, Semarang City Facility health facilities Plan in 2030, and the open areas as defined in the Semarang 2011-2030 spatial plan (RTRW) a major shift towards the quadrant 2 was observed, suggesting an increased capacity to encountered inundation susceptibility.
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Vittal Hegde, Arkal, and Vijaya Radhakrishnan Reju. "Development of Coastal Vulnerability Index for Mangalore Coast, India." Journal of Coastal Research 23, no. 5 (2007): 1106. http://dx.doi.org/10.2112/04-0259.1.
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Le, Hien Thi Thu, and Hai Quang Ha. "Mapping vulnerability of Binh Thuan coastal zone." Science and Technology Development Journal 16, no. 3 (2013): 17–29. http://dx.doi.org/10.32508/stdj.v16i3.1616.
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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.
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Irham, Muhammad, Ichsan Rusydi, Haekal A. Haridhi, et al. "Coastal Vulnerability of the West Coast of Aceh Besar: A Coastal Morphology Assessment." Journal of Marine Science and Engineering 9, no. 8 (2021): 815. http://dx.doi.org/10.3390/jmse9080815.
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The purpose of this study was to determine how vulnerable the west coast of Aceh Besar, Aceh province, Indonesia, is in terms of its coastal morphology. This research was conducted from August to December 2020 and data processing was carried out at the Geographical Information Systems Laboratory, Faculty of Marine Affairs and Fisheries, Syiah Kuala University. The method used was the coastal vulnerability index (CVI) with four geological parameters, namely geomorphological parameters, beach elevation, beach slope and shoreline changes. The results obtained from the CVI method show that 20.60% of the west coast of Aceh Besar, which has a total coastline length of 93.2 km, is in the very high vulnerability category (19.2 km), while 23.18% (21.6 km) is in the high vulnerability category, 8.80% (8.2 km) in the moderate category, 6.44% (6 km) in the low category and 40.99% (38.2 km) in the very low category. Sub-districts classified as having very high vulnerability are Peukanbada (7.94%), Leupung (6.22%), Lhoong (4.94%), and Lhoknga (1.50%). The geomorphology of areas that have very high vulnerability is generally in the form of sandy beaches with a very gentle slope, while, geomorphologically, areas that have very low vulnerability have a high elevation and cliff beaches.
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Chavan, Mithilesh N. "GIS Based Integrated Vulnerability Assessment of Konkan Coastal Stretch between Bankot and Dabhol Creeks, Maharashtra." Geo-Eye 12, no. 2 (2023): 20–33. https://doi.org/10.53989/bu.ge.v12i2.4.
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In the present research work, an attempt has been made to assess the coastal vulnerability of the Konkan stretch between Bankot and Dabhol creeks, Maharashtra, using GIS and various sources of geospatial data. The study area comprises the coast of Mandangad and Dapoli tahsils in the northern part of Ratnagiri district. The study area is bounded by two west flowing rivers debouching into the Arabian Sea viz.: Savitri River in the north and Vashishti River in the south. The study area is a part of Western Ghats and coastal plains agroecological region. The tropical cyclones in the Arabian Sea in recent years have stressed the importance of assessing the vulnerability of coastal areas to flooding and inundation. The coastline of Ratnagiri district, which has many beaches, tourism places, fishing villages, ports and towns, has been facing risk from cyclones, floods and erosion. The major objective of the present work is analysis and integration of physical variables with socio-economic variables to assess the coastal vulnerability. The physical coastal vulnerability index (PCVI) parameters are coastal geomorphology, shoreline changes, coastal slope, sea level rise rate, significant wave height and tidal range. The socio-economic coastal vulnerability index (SCVI) parameters are population density, coastal land use, coastal roads and economic activities. A composite coastal vulnerability index (CCVI) based on physical and socio-economic parameters has been calculated for every coastal segment, which reveals the overall coastal vulnerability. A coastal zone management action plan has been prepared to mark the coastal segments requiring higher priority for coastal protection viz.: Harnai-Paj Pandhari beach (No Development Zone under CRZ-IIIA), Murud village, Dabhol (Vashishti River mouth), etc. Ecologically sensitive areas viz. turtle nesting grounds, mangrove swamps, etc. have also been analyzed. The coastal vulnerability map is useful in decision-making for disaster management and integrated coastal zone management. Keywords: Erosion; PCVI; SCVI; CCVI; GIS
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Sukmanova, T. V., N. S. Baranov, and A. V. Strekal. "VULNERABILITY ASSESSMENT OF COASTAL SYSTEMS IN THE KALININGRAD REGION USING THE COAST VULNERABILITY INDEX (CVI)." Vestnik of Immanuel Kant Baltic Federal University Series Natural and Medical Sciences, no. 4 (2023): 81–94. http://dx.doi.org/10.5922/gikbfu-2023-4-6.
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The Kaliningrad region is a unique constituent entity of the Russian Federation. In recent years, due to the global political and epidemiological situation, the recreational attractiveness of the Kaliningrad region has significantly increased, thereby placing greater pressure on the coastal zone. However, there is a lack of research dedicated to assessing the vulnerability of the coastal area. The practical significance of this study lies in the potential for further utilization of its results to evaluate and analyze the vulnerability of the coastline of the Kaliningrad region and make decisions on implementing a series of measures to protect and preserve the coastal zone. For the study, the Coastal Vulnerability Index (CVI) methodology was selected, which is considered the most versatile compared to others but requires specific parameters for the studied object/territory. The research goal is to assess the vulnerability of the coastal zone on the Kaliningrad Oblast coastline. The CVI method represents a classic scoring system that allows identifying key areas and suggesting a series of measures to prevent the deterioration of the coastal condition.
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Rohim, Nur, Eleven Saputra, Permata Mei Kartika, and Meilinda Suriani Harefa. "Mangrove untuk Ketahanan Iklim berdasarkan Indeks Kerentanan Pesisir, Penerapan di Mempawah, Kalimantan Barat." AQUACOASTMARINE: Journal of Aquatic and Fisheries Sciences 3, no. 1 (2024): 38–49. http://dx.doi.org/10.32734/jafs.v3i1.15545.
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Coastal areas are particularly vulnerable to climate change. The primary objective of this study is to use the Geographic Information System (GIS) approach to assess the level of vulnerability in the coastal area of Mempawah Regency, West Kalimantan, Indonesia, by utilizing the Coastal Vulnerability Index (CVI) and analyzing the role of mangrove land cover in explaining the coastal vulnerability based on land cover characteristics. From 41 surveyed grids, a substantial 65.83% are classified under the category of very low vulnerability, while 34.14% fall within the range of low vulnerability, in Mempawah. The validation of the mangroves' role as a defense mechanism in mitigating climate phenomena within coastal areas was validated through various approaches such as Normalized Difference Vegetation Index (NDVI) and land cover
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Romadhona, Sukron, Laily Mutmainnah, Cahyoadi Wibowo, and Tri Candra Setiawati. "“Assessment of Coastal Vulnerability Index on potential agricultural land - CVI, Banyuwangi Regency”." E3S Web of Conferences 142 (2020): 01002. http://dx.doi.org/10.1051/e3sconf/202014201002.
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Indonesia is an archipelago country that has the longest coastline after Canada (UNCLOS). Banyuwangi District is a coastal area in Northern Java, which has a very dynamic development because of its location of the capital city that located along the coastal area. The purpose of this study is to assess the degree of coastal vulnerability in Banyuwangi District with the higher level of development. The CVI method (Coastal Vulnarability Index) of evisien sting is used to assess vulnerability. The coastal vulnerability is very low over 8 km, with a 15.4% of coastal length of Banyuwangi District. Low vulnerability occurs in areas that are located in areas close to settlements area, with beaches already experiencing human intervention. The low category is about 12 km long, reaching 23.3% of the existing coastal length in Banyuwangi District. The middle category is about 16 km, equivalent to 30.8% of shoreline. While the high category is about 10 km, equivalent to 19.2% of coastal length. The highest category has a length of 6 km, equivalent to 11.5% of the coastal area of Banyuwangi district.
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Osilieri, Paulo Renato Gomes, José Carlos Sícoli Seoane, and Fábio Ferreira Dias. "Coastal Vulnerability Index revisited: a case study from Maricá, RJ, Brazil." Revista Brasileira de Cartografia 72, no. 1 (2020): 81–99. http://dx.doi.org/10.14393/rbcv72n1-47025.
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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.
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Dhiauddin, Ruzana, Wisnu Arya Gemilang, Ulung Jantama Wisha, Guntur Adhi Rahmawan, and Gunardi Kusumah. "PEMETAAN KERENTANAN PESISIR PULAU SIMEULUE DENGAN METODE CVI (COASTAL VULNERABILITY INDEX)." EnviroScienteae 13, no. 2 (2017): 157. http://dx.doi.org/10.20527/es.v13i2.3918.
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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).
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Azlan, Azreen Shafiqa Nabilla, Suhaila Sahat, Mohd Effendi Daud, Masiri Kaamin, and Zaid Kassim Sultan. "Assessing Coastal Erosion Risks: A Comparative Study of Coastal Vulnerability Index and Coastal Erosion Risk Assessment Methods." Journal of Advanced Research Design 132, no. 1 (2025): 91–102. https://doi.org/10.37934/ard.132.1.91102.
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Coastal erosion poses significant environmental and socio-economic challenges, necessitating robust assessment methodologies for effective management. This study provides a comparative analysis of two widely used coastal risk assessment approaches: the Coastal Vulnerability Index (CVI) and the Coastal Erosion Risk Assessment (CERA). CVI evaluates broad-scale vulnerability based on physical and environmental indicators such as sea-level rise, shoreline erosion rates and geomorphology, making it suitable for large-scale coastal planning. In contrast, CERA integrates additional socio-economic and infrastructural factors to offer a more localized, high-resolution risk assessment, making it particularly useful for site-specific management and mitigation strategies. The study highlights key differences in spatial scope, data requirements and applicability, demonstrating that CVI is optimal for regional-scale vulnerability mapping, while CERA provides detailed risk classification essential for immediate intervention. The findings suggest that integrating both methodologies could enhance coastal risk assessments by combining CVI’s large-scale vulnerability insights with CERA’s detailed, site-specific risk evaluations. This hybrid approach would support more informed decision-making and adaptive strategies to mitigate coastal erosion impacts effectively.
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Manno, Giorgio, Grazia Azzara, Carlo Lo Re, et al. "An Approach for the Validation of a Coastal Erosion Vulnerability Index: An Application in Sicily." Journal of Marine Science and Engineering 11, no. 1 (2022): 23. http://dx.doi.org/10.3390/jmse11010023.
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In recent decades, coastal erosion phenomena have increased due to climate change. The increased frequency and intensity of extreme events and the poor sediment supply by anthropized river basins (dams, river weirs, culverts, etc.) have a crucial role in coastal erosion. Therefore, an integrated analysis of coastal erosion is crucial to produce detailed and accurate coastal erosion vulnerability information to support mitigation strategies. This research aimed to assess the erosion vulnerability of the Sicilian coast, also including a validation procedure of the obtained scenario. The coastal vulnerability was computed by means of the CeVI (Coastal Erosion Vulnerability Index) approach, which considers physical indicators such as geomorphology and geology, coastal slope, sea storms, wave maxima energy flux and sediment supply to river mouths. Each indicator was quantified using indexes which were assessed considering transects orthogonal to the coastline in 2020. These transects were clustered inside natural compartments called littoral cells. Each cell was assumed to contain a complete cycle of sedimentation and not to have sediment exchange with the near cells. Physical parameters were identified to define a new erosion vulnerability index for the Sicilian coast. By using physical indexes (geological/geomorphological, erosion/sediment supply, sea storms, etc.), the CeVI was calculated both for each littoral cell and for the transects that fall into retreating/advancing coastal areas. The vulnerability index was then validated by comparing CeVI values and the coastline change over time. The validation study showed a direct link between the coastline retreat and high values of CeVI. The proposed method allowed for a detailed mapping of the Sicilian coastal vulnerability, and it will be useful for coastal erosion risk management purposes.
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Ismail, I., M. L. Husain, W. S. W. Abdullah, and R. Zakaria. "Modelling of Coastal Vulnerability Index Along the East Coast of Peninsular Malaysia due to Sea Level Rise Impact." IOP Conference Series: Earth and Environmental Science 1103, no. 1 (2022): 012011. http://dx.doi.org/10.1088/1755-1315/1103/1/012011.
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Sea level rise is a very serious phenomena around the world and caused by expansion of sea water due to the high temperature and the melting of ice at the poles. In Malaysia, areas located on the East Coast of Peninsular Malaysia are more vulnerable to the impact of rising sea water because they are facing the South China Sea where the waves are stronger, especially during the monsoon season in November to March. The study site is along the East Coast of Peninsular Malaysia, over 675km and covered fifteen districts located along the coast. This study focuses on developing vulnerability indices on physical, socioeconomic and correlation between both parameters. The analysis of physical vulnerability index (PVI) consist seven variables namely geomorphology, shoreline change rate, coastal slope, wave height, tidal range, sea level rise change and rock type. While for socioeconomic index (SeVI) focuses on three parameters such as quality of life, economic value and infrastructures. After obtaining the index for each parameter, coastal vulnerability index (CVI) is then calculated to determine the overall vulnerability for the coastal area. For CVI, the highest index along coastal area is Kuantan and the lowest index is Tumpat.
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Kharisma, Gaby, Triani Triani, Azura Ulfa, Rizki Adriadi Ghiffari, and Hermis Anjas Sari. "Coastal Vulnerability Assessment Based on Coastal Vulnerability Index (CVI) on the Coastal Area of Kolaka Regency, Southeast Sulawesi, Indonesia." Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) 14, no. 2 (2024): 267. http://dx.doi.org/10.29244/jpsl.14.2.267.
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The purpose of this paper is to investigate vulnerability assessments along the coastal area and small island of Kolaka Regency, Southeast Sulawesi, Indonesia. This paper used spatial analysis to estimate the Coastal Vulnerability Index (CVI). An assessment of CVI was carried out using eight parameters to build into five categories, with very low to very high category vulnerability. Coastal vulnerability in the Kolaka coastal area varies from a very low to a very high category. Hence, this study suggests that policymakers need to make a long-term plan for local coastal zones, and they should prioritize a precision disaster-based analysis to minimize the damage caused by the disaster in the future.
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Ledheng, Ludgardis, Emanuel Maria Yosef Hano’e, and Marce Sherly Kase. "The Study of Coastal Vulnerability in South Central Timor Regency, East Nusa Tenggara Province." Nature Environment and Pollution Technology 24, no. 2 (2025): D1719. https://doi.org/10.46488/nept.2025.v24i02.d1719.
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The presence of anthropogenic activities in the coastal areas of the South Central Timor (SCT) Regency has weakened coastal resilience, which may exacerbate the impact of rising sea levels. One important factor that needs to be analyzed is the vulnerability assessment. This study, conducted from July to September 2024, aimed to determine the spatial distribution and variables that can influence the vulnerability in the coastal areas. The methods used were the Coastal Vulnerability Index (CVI) and the Social Vulnerability Index (SoVI), which then used Multi Criteria Analysis (MCA) to perform the standardization value. The integrated index values were then integrated into the Geographic Information System (GIS) for comprehensive spatial information. The results showed that, in general, the coastal areas of the SCT Regency were in the low (35%), medium (48%), and high (66%) risk categories. Areas of high physical vulnerability were alluvial lowland areas and those near hills. The karst hills that are characteristic of the coastal areas of the SCT regency have become a threat to the lives of coastal communities. Communities living in coastal hill areas, including the Kolbano and Oetuke coasts, and in the alluvial lowlands like the Tuafanu, Kualin, and Oni coasts, need to be the focus and priority areas for recovery efforts. This is due to the high level of vulnerability, both physically and socio-economically. Geomorphology is the primary contributor to physical vulnerability because these coastal hills and lowlands are prone to erosion and land degradation caused by waves, tides, and human activities. On the socio-economic side, land use, particularly mining activities, increases vulnerability by degrading the environment and threatening the livelihood of coastal communities. Key recovery efforts should focus on revegetation, which can help stabilize the soil, reduce erosion, and restore ecological balance while offering sustainable economic benefits to the local population.
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Yahia Meddah, Rabia, Tarik Ghodbani, Rachida Senouci, Walid Rabehi, Lia Duarte, and Ana Cláudia Teodoro. "Estimation of the Coastal Vulnerability Index Using Multi-Criteria Decision Making: The Coastal Social–Ecological System of Rachgoun, Western Algeria." Sustainability 15, no. 17 (2023): 12838. http://dx.doi.org/10.3390/su151712838.
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This research deals with spatial vulnerability in the coastal area of Rachgoun (Algeria), on the southern shore of the Mediterranean Sea. Over the past two decades, the coastal area of Rachgoun has been suffering from a large amount of pressure due to accelerated socioeconomic development, urbanization, tourism, fishing, and agriculture. The main objective of this study is to visualize the coastal vulnerability of Rachgoun using multi-criteria decision making (MCDM). A multidisciplinary approach that integrates geological, physical, and socioeconomic vulnerability was adopted. The selected parameters for the study include lithology, elevation, slope, shoreline change, significant wave height, population density, tourist density, land use/land cover (LULC), road network density, proximity to coast, distance from river, people’s awareness, and designated conservation areas and cultural heritage. Data from AlSat-2 Satellite imagery, aerial photography, topographic maps, and field surveys were processed. Spatial modeling was conducted through the MCDM approach and geographic information systems (GIS) to develop two sub-indices: the natural vulnerability index (CVIN) and the socioeconomic vulnerability index (CVIS). The combination of the two sub-indices allowed us to deduce the integrated coastal vulnerability index (ICVI). The outcomes present a coastal vulnerability map with a spatial resolution of 10 m of the identified problematic area. This map can guide decision-makers in implementing an effective integrated coastal zone management (ICZM) strategy.
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Hamuna, Baigo, Annisa Novita Sari, and Alianto Alianto. "Kajian Kerentanan Wilayah Pesisir Ditinjau dari Geomorfologi dan Elevasi Pesisir Kota dan Kabupaten Jayapura, Provinsi Papua." Jurnal Wilayah dan Lingkungan 6, no. 1 (2018): 1. http://dx.doi.org/10.14710/jwl.6.1.1-14.
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The coastal areas of both Jayapura Municipality and Regency which is directly opposite to the Pacific Ocean with the multifunctional use is a vulnerable area to disasters. The coastal vulnerability is determined by considering some influential factors, that is geomorphology and elevation to minimize the coastal damage impacts. The purpose of this study is to determine the coastal vulnerability index of Jayapura City and Regency focusing on the coastal geomorphology and elevation. The study area covers a coastal area of 241.86 km along the coastlines of Jayapura Municipality and Regency. The study method includes data collection on the coastal geomorphology and elevation characteristics. The value of coastal vulnerability index of each parameter is determined by dividing into five categories of coastal vulnerability. The result shows territorial division as follows: 145.88 km (61.18%) was not vulnerable, 33.14 km (13.90%) was less vulnerable, 29.03 km (12.17%) was a moderate vulnerability, 12.12 km (5.08%) was vulnerable, and the remaining 18.29 km (7.67%) was very vulnerable. The coastal vulnerability of Jayapura City coastal areas categorized into three classes, i.e. not vulnerable, moderate vulnerable and vulnerable, while the Jayapura Regency coastal areas felt into the following classes: not vulnerable and moderate vulnerable. The most vulnerable areas were of Abepura District, South Jayapura District and Muaratami District, all in the Jayapura Municipality administration. Those areas with high elevation level were not vulnerable at all.
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Mutmainah, Herdiana. "Coastal Vulnerability at West Pasaman Regency." IOP Conference Series: Earth and Environmental Science 1105, no. 1 (2022): 012021. http://dx.doi.org/10.1088/1755-1315/1105/1/012021.
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Abstract West Pasaman has rich coastal potency. Marine resources and coastal tourism become income source for this regency. Besides the potency, West Pasaman Coast also vulnerable because it lays on tectonic path subduction and bordered with Hindia Ocean that triger abration, earthquake and tsunamis. The combinations of high abration and flat coast with mud and sand make the West Pasaman Coast very vulnerable. Extreme weather and dense population with convensional living in the coastal area create the complexity of coastal problems. Early, The Coastal Vulnerability Index (CVI) is a method to analyze coastal vulnerability based on certain factors i.e ocean hydrodinamics and coastal morphology. But nowadays, to minimize the risk of natural disasters, the CVI has been modified with additional factors. This research aims to analyze the coast vulnerability of West Pasaman Coast using Coastal Vulnerability Index (CVI) method based on GIS. The study use primary and secondary data. The field survey was conducted on April 2019 with purposive sampling method at 6 districts and 10 sites as the observation points. Those districts are Sungai Beremas, Koto Balingka, Sungai Aur, Sasak Ranah Pasisir, Luhak Nan Duo and Kinali. The result shows that Kinali Coast is categorized as high vulnerability (CVI 3.95) and other 5 districts are moderate vulnerability (CVI 2.3-2.9).
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Corbau, Corinne, Michele Greco, Giovanni Martino, Elisabetta Olivo, and Umberto Simeoni. "Assessment of the Vulnerability of the Lucana Coastal Zones (South Italy) to Natural Hazards." Journal of Marine Science and Engineering 10, no. 7 (2022): 888. http://dx.doi.org/10.3390/jmse10070888.
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Coasts are highly dynamic and geo-morphologically complex systems that are exposed to several factors such as waves, extreme meteorological events and climate change. It is also well-recognized that coastal zones, characterized by an increasing population growth, are vulnerable to climate change. In addition, coastal erosion, resulting from natural environment changes and human activities, acts worldwide. Consequently, it is necessary to quantify coastal hazards vulnerability and develop tools to monitor coastal risks and support making targeted climate adaptation policies. In this paper, a framework to estimate coastal vulnerability to flooding and erosion has been developed for the Ionian Basilicata coast. It is based on two methods: the integrated vulnerability index (flooding and erosion) and the CeD physical vulnerability index (multi-risk assessment). Our results are in agreement with the recent shoreline evolution: the integrated coastal risk of the Ionian Basilicata coast is generally medium to high, while the “physical erosion vulnerability” is generally high to very high. In addition, the results highlight a spatial variability of the vulnerability, probably due to the morphology of the beach, which requires developing a strategic approach to coastal management and defining mitigation measures, considering relevant risk aspects as the vulnerability and exposure degree.
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Butarbutar, Yesenia Nancy Olivia, Mubarak Mubarak, and Muhammad Arief Wibowo. "COASTAL VULNERABILITY ANALYSIS IN DUMAI BARAT DISTRICT." Asian Journal of Aquatic Sciences 6, no. 1 (2023): 28–31. http://dx.doi.org/10.31258/ajoas.6.1.28-31.
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The Coastal area is an area that is very vulnerable to the phenomenon of natural change. The coastal area's vulnerability level is influenced by geological variables, namely coastal geomorphology, sea level rise, shoreline changes, tides, and coastal elevations. This research was conducted in October 2021. This study aims to determine the level of coastal vulnerability in the Dumai Barat Sub-District, Riau Province with a quantitative descriptive method. Based on the result of the study, the coastal vulnerability index can be classified into five categories: very not vulnerable, not vulnerable, medium, high, and very high. The coastal area of Dumai Barat District is categorized as low vulnerability
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Pethick, John S., and Stephen Crooks. "Development of a coastal vulnerability index: a geomorphological perspective." Environmental Conservation 27, no. 4 (2000): 359–67. http://dx.doi.org/10.1017/s0376892900000412.
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Sustainable coastal resource management requires the safeguarding and transmission to future generations of a level and quality of natural resources that will provide an ongoing yield of economic and environmental services. All maritime nations are approaching this goal with different issues in mind. The UK, which has a long history of development and flood protection in coastal areas, has chosen to adopt shoreline management, rather than coastal management, so placing coastal defence above all else as its primary and statutory objective. This paper aims to provide a geomorphological perspective of long-term coastal evolution and seeks to compare the UK approach with wider interpretations of coastal management. Based on a literature review, it is argued that coastal management (CM) and shoreline management, as a subset of CM, should share the same ultimate objectives, which are defined by many authorities as sustainable use. The objectives, both strategic and pragmatic, which follow from such an aim may appear to conflict with a reading of many of the texts for international and national CM or designated area management which emphasizes stability rather than sustainability. The result is that coastal defence is seen not merely as a means to an end but as an end in itself. It is argued within this paper that sustainable use of the coast, however, demands both spatial and temporal flexibility of its component systems, and management for change must therefore be the primary objective. Response of the natural system to independent forcing factors must be encouraged under this objective, whether such forces are natural or anthropogenic. In achieving such an objective the concept of shoreline vulnerability may prove useful. A simple and preliminary Vulnerability Index is proposed, relating disturbance event frequency to relaxation time (the time taken for the coastal feature to recover its form). This index provides a first order approximation of the temporal variability that may be expected in landform components of the shoreline system, so allowing management to provide more realistic objectives for long-term sustainability in response to both natural and artificial forces.
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Ramnalis, Paschalis, Dimitrios-Vasileios Batzakis, and Efthimios Karymbalis. "Applying two methodologies of an integrated coastal vulnerability index (ICVI) to future sea-level rise." Geoadria 28, no. 1 (2023): 7–24. http://dx.doi.org/10.15291/geoadria.4234.
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Climate change is an issue of concern and is expected to cause various adverse impacts on human societies in the near and long-term future. Sea-level rise, which is caused by global warming and melting continental ice sheets, in combination with the rising global population and evolution of human activities in coastal areas, tends to make coastal societies more prone to coastal hazards. The Gulf of Corinth in Greece with its diverse coastal landforms and tectonic complexity makes the region unique when considering an assessment of coastal vulnerability. In this study we apply an Integrated Coastal Vulnerability Index (ICVI) to a potential sea-level rise for the southern coastline of the Gulf of Corinth (Greece) consisting of physical and socio-economic parameters. Among multiple different methodologies that have been developed over the recent years, we decided to apply two of the mathematical approaches we believe are best suited for the protection of human activities in our study area. The first one, ICVI_1, is based on the Coastal Vulnerability Index (CVI) by Thieler and Hammar-Klose (1999) with variables of equal relative importance, whereas the second one, ICVI_2, uses the Analytic Hierarchic Process (AHP) with the assignment of relative weight values to each parameter. The parameters were identified and ranked into a vulnerability index with a scale from 1 to 5. The results reveal that both approaches depict more or less the same coastal sections of high or very high vulnerability, but differ in the distribution of extreme values. ICVI_1 shows that 18.3% of the total coastline features very high vulnerability (score 5), while ICVI_2 shows 9.1%. The coastal sections with the highest scores of vulnerability are mostly represented in the eastern part of the studied coastline with low-lying regions of gentle slope and concentrated human activity.
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Amin, Mawardi, Ika Sari Damayanthi Sebayang, and Carolina Masriani Sitompul. "COASTAL VULNERABILITY INDEX ANALYSIS IN THE ANYER BEACH SERANG DISTRICT, BANTEN." SINERGI 23, no. 1 (2019): 17. http://dx.doi.org/10.22441/sinergi.2019.1.003.
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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.
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Widura, Elsa, and Djati Mardiatno. "Assessment of the Coastal Vulnerability Index (CVI) for disaster mitigation strategies in some coastal tourism areas in Gunungkidul, Yogyakarta-Indonesia." IOP Conference Series: Earth and Environmental Science 989, no. 1 (2022): 012014. http://dx.doi.org/10.1088/1755-1315/989/1/012014.
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Abstract South coastal area of Gunungkidul, Yogyakarta-Indonesia has a high tourism development due to the unique physical conditions of coastal typology. However, during the last few years, extreme wave height associated with cyclones damaged many tourist facilities there. Coastal management for ecosystem sustainability requires disaster mitigation, which one considering the aspect of vulnerability. This study aims to assess the level of coastal vulnerability according to coastal typology of Baron-Pok Tunggal section and to determine the coastal management model based on the level of vulnerability. The Coastal Vulnerability Index (CVI) is used in vulnerability assessment. The variable formulation of CVI is divided into hydrodynamic factors (mean significant wave heights, mean tide range, and mean sea level rise) and morphodynamics factors, i.e. geomorphology, coastal slope, and average width of emerged beach. The morphodynamics data were obtained through observation, direct measurements in the field by systematic sampling, extraction from aerial photographs and digital surface model (DSM). The results of modeling and predictions by several agencies are derived to obtain the hydrodynamics data. The result of this study revealed that marine deposition coast typology have a high and moderate vulnerability (twelve and eleven coastal units, respectively). Meanwhile, a low vulnerability can be found in the cliff coast or wave erosion coast typology (24 units). The convex or concave beaches tend to be more vulnerable than beaches with the straight form. The beaches of Buluk, Drini, Kosakora, Sarangan and all beaches from Krakal to Indrayanti have a high vulnerability. Geomorphological variables, significant wave height, and sea level rise have the strongest influence on vulnerability. Coastal management in the marine deposition coast typology can be carried out either in a protective manner or by accommodative approach, such as by observing changes in natural conditions due to sea level rise.
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Cabrera, Jonathan, Han Soo Lee, Jae-Soon Jeong, and Morhaf Aljber. "INTEGRATED FRAMEWORK FOR COASTAL ZONE HEALTH INDEX AND VULNERABILITY ASSESSMENT." Coastal Engineering Proceedings, no. 38 (May 29, 2025): 163. https://doi.org/10.9753/icce.v38.management.163.
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The coastal zone is the environment that connects terrestrial and marine environments. (Cabrera and Lee, 2022). It has been estimated that 23percent of the world's population lives within 100 km of the coastal regions (Small and Nicholls, 2003). Coastal zones offer a variety of significant ecological, social, and economic benefits. It is a dynamic and diverse environment. It supports various human activities, such as fishing, tourism, and transportation, and is home to a wide range of plant and animal species. However, there are several issues that coastal areas must contend with, such as pollution, climate change, and overdevelopment. The health and integrity of coastal ecosystems, as well as the communities and industries that depend on them, could be seriously harmed by these threats. It is crucial to routinely evaluate the health and well-being of these environments to address these issues and guarantee the long-term viability of coastal zones. The goal of this study is to identify any issues or problems that may be affecting the health and integrity of the coastal zone environment.
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Mclaughlin, Suzanne, and J. Andrew G. Cooper. "A multi-scale coastal vulnerability index: A tool for coastal managers?" Environmental Hazards 9, no. 3 (2010): 233–48. http://dx.doi.org/10.3763/ehaz.2010.0052.
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Sirajuddin, H., and B. Rivaldi. "Coastal morphodynamic and assessments of coastal vulnerability index in Parepare bay." IOP Conference Series: Earth and Environmental Science 419 (February 8, 2020): 012113. http://dx.doi.org/10.1088/1755-1315/419/1/012113.
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Kantamaneni, Komali, Sigamani Panneer, N. N. V. Sudha Rani, et al. "Impact of Coastal Disasters on Women in Urban Slums: A New Index." Sustainability 14, no. 6 (2022): 3472. http://dx.doi.org/10.3390/su14063472.
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Coastal hazards, particularly cyclones, floods, erosion and storm surges, are emerging as a cause for major concern in the coastal regions of Vijayawada, Andhra Pradesh, India. Serious coastal disaster events have become more common in recent decades, triggering substantial destruction to the low-lying coastal areas and a high death toll. Further, women living in informal and slum housing along the Vijayawada coastline of Andhra Pradesh (CAP), India, suffer from multiple social, cultural and economic inequalities as well. These conditions accelerate and worsen women’s vulnerability among this coastal population. The existing literature demonstrates these communities’ susceptibility to diverse coastal disasters but fails to offer gender-specific vulnerability in urban informal housing in the Vijayawada area. Accordingly, the current study developed a novel gender-specific Women’s Coastal Vulnerability Index (WCVI) to assess the impact of coastal disasters on women and their preparedness in Vijayawada. Field data was collected from over 300 women through surveys (2) and workshops (2) between November 2018 and June 2019, and Arc-GIS tools were used to generate vulnerability maps. Results show that women are more vulnerable than men, with a higher death rate during coastal disaster strikes. The current study also found that gender-specific traditional wear is one of the main factors for this specific vulnerability in this area. Furthermore, the majority of the women tend to be located at home to care for the elders and children, and this is associated with more fatalities during disaster events. Homes, particularly for the urban poor, are typically very small and located in narrow and restricted sites, which are a barrier for women to escape from unsafe residential areas during disasters. Overall, the research reveals that most of the coastal disaster events had a disproportionately negative impact on women. The results from this present study offer valuable information to aid evidence-based policy- and decision-makers to improve existing or generate innovative policies to save women’s lives and improve their livelihood in coastal areas.
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Handiani, Dian N., Aida Heriati, and Fitry Suciaty. "Coastal Vulnerability Assessment Along The North Java Coastlines-Indonesia." Jurnal Segara 18, no. 1 (2022): 1. http://dx.doi.org/10.15578/segara.v18i1.10664.
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The north coast of Java is an area with very diverse maritime activities. These high activities threaten the ecosystem and environmental sustainability. Several areas already experience environmental degradation and most of the threats come from ocean pollution, coastal erosion, continuous tidal flood (rob), and coastal land subsidence. Furthermore, the coastal degradation is worsened by climate change which may cause the area more vulnerable to disaster. This study aims at evaluating the coastal vulnerability using weighted coastal vulnerability index (CVIw). The method calculates coastal vulnerability by weighting physical coastal parameters using Analytical Hierarchy Process (AHP). CVIw calculation result shows that the vulnerability is dominant at high (39%) and very high (51%) classes. The high vulnerability occurs in Tangerang, Bekasi, Brebes, Demak, Jepara, Pati, and Rembang Regencies. Meanwhile, very high vulnerability takes place in several regencies: Serang, Karawang, Subang, Indramayu, Cirebon, Tegal, Kendal, Semarang, and Gresik. The parameters of relief, coastal features, tidal range and shoreline give contribution more in coastal vulnerability besides lithology, sea level change, and wave height. Identifying vulnerability in these areas might help local governments to prioritize their action plan in coastal disasters mitigation.
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Sancho, Francisco, Filipa S. B. F. Oliveira, and Paula Freire. "COASTAL DUNES VULNERABILITY INDEXES: A NEW PROPOSAL." Coastal Engineering Proceedings 1, no. 33 (2012): 68. http://dx.doi.org/10.9753/icce.v33.management.68.
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In the present work it is proposed a new coastal dune vulnerability index based on its exposure (and resistance) to overwashing and erosion under storm events, focusing solely on the short-term events. The methodology is applied and validated against the available data for the Ria Formosa (Algarve, Portugal) coastal beaches. The overwash index is determined as a function of the dune crest height in relation with the maxima water levels for different return periods, and the storm-erosion index is computed as function of the remaining beach/dune volume after the impact of
 the 10-year return period extreme-wave conditions in relation to the pre-storm volume. It is discussed the results of this application, enhancing the necessity of further validation.
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Šimac, Zaviša, Nina Lončar, and Sanja Faivre. "High-Resolution Coastal Vulnerability Assessment for the Istrian Peninsula: Developing a Physical Coastal Vulnerability Index (PCVI)." Geosciences 15, no. 3 (2025): 85. https://doi.org/10.3390/geosciences15030085.
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Increasing risks from sea-level rise and other climate impacts call for a focus on physical coastal attributes, emphasising the need for region-specific tools to address the vulnerability of different coastlines. This paper presents the development of a Physical Coastal Vulnerability Index (PCVI) for climate change impacts like sea-level rise, erosion, and storm surges, which is applied to the Croatian coast of the Istrian Peninsula. The methodology provides a detailed, site-specific vulnerability assessment focusing on physical parameters such as coastal aspect, slope, elevation, and coastal type. Eight different grid cell sizes were evaluated to map the coastline, demonstrating, as expected, that smaller cells (5 × 5 m) captured more detailed variability in vulnerability. Among seven evaluated calculation methods, the second root of the self-weighted arithmetic mean (M3) proved the most effective, emphasising high-risk regions by prioritising critical physical variables. The results show that the western Istrian coast is more vulnerable due to its morphological properties, with nearly 50% of highly vulnerable coastlines. This paper emphasises the importance of using high-resolution grids to avoid oversimplification of vulnerability assessment and recommends using PCVI as a basis for further socio-economic assessments. The proposed PCVI methodology offers a framework that can be adapted to assess the physical vulnerability of the eastern Adriatic coast and other similar coastal regions, particularly in the Mediterranean, enhancing its relevance for integrated coastal zone management and global climate change mitigation strategies.
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Dr., M. Sakthivel1 Raghav M. S*2 &. S. Murugesan3. "ASSESSING THE IMPACT OF SEA LEVEL RISE USING COASTAL VULNERABILITY INDEX FOR CUDDALORE DISTRICT, TAMIL NADU, INDIA." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 10 (2018): 88–100. https://doi.org/10.5281/zenodo.1465791.
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Due to persistent global warming there is a constant rise in sea level which puts the coastal inhabitations at serious risk thereby insisting a plan to identify the regions that are most likely to get affected in the near future.We have used the Coastal Vulnerability Index(CVI) as a tool to cull out the regions that are prone to sea level rise along the coast of Cuddalore district,Tamil Nadu by taking eight parameters namely,Geomorphology,Coastal Slope,Wind Speed and Direction,Shoreline Erosion/Accretion rate,Offshore Bathymetry,Wave Height,Coastal Villages and Landuse/Landcover.The coastal stretch of Cuddalore District is divided into two kilometer segments and the CVI Values for each segment is calculated. The Coastal Vulnerability Index(CVI) calculated varies from 2.44 to 30.98 indicating a significant amount of variance among different two-kilometer segments of the coast. Since the main purpose of this project is to conceive an output that will indicate the regions prone to sea level rise so that precautionary measures can be taken in advance to prevent the loss of life and property,Coastal villages and land cover along the coast play a pivotal role in influencing the results.
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Yuliastini, Laras Febri, Muhammad Zainuri, and Rikha Widiaratih. "Analisis Kerentanan Pesisir di Kabupaten Kendal." Indonesian Journal of Oceanography 5, no. 1 (2023): 80–89. http://dx.doi.org/10.14710/ijoce.v5i1.16061.
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Perubahan iklim menyebabkan terjadinya perubahan suhu yang berdampak pada pencairan es di area Antartika dan Artik sehingga terjadi kenaikan muka air laut. Kendal merupakan salah satu daerah di Jawa Tengah bagian utara yang berbatasan langsung dengan Laut Jawa dan merupakan daerah dataran rendah. Wilayah bagian utara Kendal merupakan daerah dataran rendah dengan ketinggian antara 0 – 10 m dpl. Hal ini menyebabkan daerah pesisir menjadi rentan dengan perubahan fisik apabila kenaikan muka air laut terus terjadi. Penelitian ini bertujuan menentukan tingkat kerentanan pesisir di Kabupaten Kendal, yang didetaikan menjadi 7 Kecamatan yang berada di bagian utara Kendal. Kajian kerentanan wilayah pesisir dilakukan dengan metode Coastal Vulnerability Index (CVI). Hasil penelitian menunjukkan bahwa indeks kerentanan pesisir dan tingkat kerentanan di Kabupaten Kendal antara lain Kecamatan Rowosari 18,52 kerentanan sedang, Kangkung 7,17 kurang rentan, Cepiring 13,89 kerentanan sedang, Patebon 18,52 kerentanan sdang, Kendal 17,93 kerentanan sedang, Brangsong 8,02 kurang rentan, dan Kaliwungu 21,38 kerentanan sedang.Kata kunci: Kerentanan Pesisir, CVI, Kendal Climate change causes changes in temperature which have an impact on melting ice in the Antarctic and Arctic areas, resulting in sea level rise. Kendal is one of the areas in northern Central Java which is directly adjacent to the Java Sea and is a lowland area. The northern part of Kendal is a lowland area with an altitude between 0 – 10 m above sea level. This causes coastal areas to be vulnerable to physical changes if sea level rise continues to occur. This study aims to determine the level of coastal vulnerability in Kendal Regency, which are detailed into 7 Districts in the northern part of Kendal. The coastal area vulnerability study was conducted using the Coastal Vulnerability Index (CVI) method. The results showed that the coastal vulnerability index and the level of vulnerability in Kendal Regency included Rowosari District 18.52 moderate vulnerability, Kangkung 7.17 less vulnerable, Cepiring 13.89 moderate vulnerability, Patebon 18.52 moderate vulnerability, Kendal 17.93 moderate vulnerability, Brangsong 8.02 less vulnerable, and Kaliwungu 21.38 moderate vulnerability.Keywords: Coastal Vulnerability, CVI, Kendal