Relevant bibliographies by topics / Coastal Vulnerability Index

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Academic literature on the topic 'Coastal Vulnerability Index'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Coastal Vulnerability Index"

1

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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Zhu, Zheng-Tao, Feng Cai, Shen-Liang Chen, Dong-Qi Gu, Ai-Ping Feng, Chao Cao, Hong-Shuai Qi, and Gang Lei. "Coastal Vulnerability to Erosion Using a Multi-Criteria Index: A Case Study of the Xiamen Coast." Sustainability 11, no. 1 (December 24, 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 (December 30, 2015): 819. http://dx.doi.org/10.14716/ijtech.v6i5.1361.

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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 (March 30, 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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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 (July 25, 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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Vittal Hegde, Arkal, and Vijaya Radhakrishnan Reju. "Development of Coastal Vulnerability Index for Mangalore Coast, India." Journal of Coastal Research 23, no. 5 (September 1, 2007): 1106. http://dx.doi.org/10.2112/04-0259.1.

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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 (March 19, 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 (December 16, 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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Suhelmi, Ifan Ridlo, and Hariyanto Triwibowo. "Coastal Inundation Adaptive Strategy in Semarang Coastal Area." Forum Geografi 32, no. 2 (November 23, 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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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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Dissertations / Theses on the topic "Coastal Vulnerability Index"

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Kantamaneni, Komali. "Assessing coastal vulnerability : development of a combined physical and economic index." Thesis, University of Wales Trinity Saint David, 2017. http://repository.uwtsd.ac.uk/739/.

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As a consequence of climate change, global coastal communities are increasingly at risk from sea level rise and increased storm intensities. Therefore, to inform coastal zone management coastal vulnerability assessments with respect to present and predicted climate change scenarios is important. Most of the literature concentrates on physical, and to a lesser extent socio-economic aspects but no comparable studies detailing coastal vulnerability from both physical and economic vulnerability were found. To fill this important research gap, the current study developed a combined coastal vulnerability (physical + economic) index by integrating both a Physical Coastal Vulnerability Index (PCVI) and an Economic Coastal Vulnerability Index (ECVI). All indices were applied to eleven case study sites across the country and based on assessments, the Combined Coastal Vulnerability Index (CCVI) was validated. Subsequently, coastal areas were ranked according to their PCVI, ECVI and CCVI values. PCVI results showed that Great Yarmouth and Happisburgh have high vulnerability, contrasted against an Aberystwyth frontage that was least vulnerable. ECVI assessments showed that both Great Yarmouth and Skegness have high economic vulnerability while Spurn Head had low economic vulnerability. In total, the economic costs related to case study site vulnerability was assessed at £22.36 billion. Combined coastal vulnerability results showed that Great Yarmouth is highly vulnerable with the highest aggregated score (25) followed by Aberystwyth (21). Llanelli (16) and Lynmouth (16) were least vulnerable with respect to site CCVI. This research makes a contribution to knowledge, not just for the UK but on a global level. Each location has a unique set of conditions and economic needs, and was found to be functions of physical and economic pressures, e.g. number of properties, coastal erosion and population. Finding the most effective and sustainable solution is important and one that includes knowledge of environmental impact and socio-economic consequences. The three indices (PCVI, ECVI and CCVI) are justified as tools for planners and policy makers for developing management strategies to improve coastal resilience under scenarios of sea-level rise and climate change.
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McLaughlin, Suzanne. "Assessment and development of a coastal vulnerability index for Northern Ireland employing GIS techniques." Thesis, University of Ulster, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.232860.

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Ribeiro, Juliana dos Santos. "Vulnerabilidade costeira em praias do norte do Espírito Santo e sul da Bahia." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/21/21136/tde-24032015-160955/.

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A erosão costeira é um processo de grande poder destrutivo e que afeta pelo menos 70% da zona costeira no mundo. Entender as causas e os processos que levam à erosão, bem como as regiões mais ou menos sensíveis a ela, é essencial para o correto manejo costeiro. O presente trabalho visa identificar as áreas vulneráveis à erosão através da aplicação de um Índice de Vulnerabilidade Costeira em praias do norte do Espírito Santo (Pontal do Ipiranga, Conceição da Barra) e sul da Bahia (Mucuri, Nova Viçosa, Caravelas, Prado, Cumuruxatiba, Corumbau, Arraial d\'Ajuda, Porto Seguro). O cálculo do índice se deu pela análise de treze indicadores ambientais: número de frentes frias, regime de tempestade, força de ondas, ângulo de incidência das ondas, estimativa de deriva potencial, morfologia da praia, exposição às ondas, presença de rios e/ou desembocaduras, elevação do terreno, vegetação, taxa de ocupação, obras de engenharia costeira e evidências de erosão. Os resultados mostraram que os indicadores \"morfologia da praia\" e \"exposição às ondas\" parecem ser os principais contribuintes para a erosão costeira nos municípios em que foram observados grandes prejuízos na infraestrutura urbana e perigo iminente à população local. Já nos demais municípios que também apresentaram focos de erosão, a combinação entre os indicadores \"estimativa de deriva potencial\" e \"regimes de tempestade\" parece ser a principal influência ao processo erosivo. Com exceção de Pontal do Ipiranga (que obteve um resultado de baixa vulnerabilidade), todas as praias apresentaram um IVC correspondente à vulnerabilidade moderada à erosão. O estudo se mostra eficiente para a determinação do nível de vulnerabilidade relativo entre as praias estudadas.
Coastal erosion is a process with great destructive power and affects more than 70% of worldwide coastlines. In order to achieve an effective coastal management, it is important to find and understand not only the causes and process that leads to erosion, but also areas that are more or less vulnerable to it. This study aims to identify erosion vulnerable areas through application of a Coastal Vulnerability Index in Brazilian beaches in north Espírito Santo (Pontal do Ipiranga, Conceição da Barra) and south Bahia (Mucuri, Nova Viçosa, Caravelas, Prado, Cumuruxatiba, Corumbau, Arraial d\'Ajuda, Porto Seguro). The index was calculated using 13 indicators: number of cold fronts, storm impact scale, wave power, angle of wave approach, longshore drift estimation, beach morphology, wave exposure, presence of inlets or river mouths, terrain elevation, vegetation, occupation rate, coastal engineering structures and erosion evidences. In places where great urban infrastructure destruction and imminent danger to local community were observed, both \"beach morphology\" and \"wave exposure\" seem to be the main contributors to coastal erosion. In other locations where erosion evidences were also observed, the combination between the indicators \"longshore drift estimation\" and \"storm impact scale\" seems to be the main influence to erosive process. IVC results showed that all the beaches are in a moderate vulnerability context, except in Pontal do Ipiranga, where the result was for low vulnerability. The study has proven to be effective in defining the relative vulnerability of the studied beaches.
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Wu, Chia-Lun, and 吳家倫. "The Assessment of the Coastal Dune Vulnerability Index Along the Northern Coast of Taiwan." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/24907367639028054152.

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Chien, shih-feng, and 簡仕峰. "The assessment of the coastal vulnerability index along the coastline of Taiwan." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/18497278745271899620.

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碩士
國立臺灣大學
海洋研究所
86
Abstract The global warming leads to an increase in sea level, due to the combined effects of thermal expansion of the oceans, enhanced melting of mountain glaciers and polar ice sheet. The main impacts of sea-level rise to coastal environments are erosion, inundation and saltwater intrusion. To assess the vulnerability of the coastal environment of Taiwan, this study has adapted the Coastal Vulnerability Index (CVI) technique developed by Gornitz (1990). For the entire coastline of Taiwan, a coastal GIS that contains as many as 8 variables including lithology, elevation, relief, shoreline stability, relative sea-level rise, wave height, tidal range, and frequency of typhoon is developed. The CVI then was complied based on these variables and coasts with the largest CVI, thus most vulnerable to sea-level rise, could be identified. The result of CVI evaluation shows that the most vulnerable coasts are located in low-lying areas such as estuaries, tidal flats, beaches on both west and east coast. Coasts of Pali, Yungan, Putai, Chiang chun, Peimen, Ilan, Fulung, Hualien, Hoping, Kaohsiung being most vulnerable. If future sea-level rise of 2mm/yr is considered, additional coastal area in Nanliao, Tungchiang, Chengkang, Kaohsiung chiang will be considered most vulnerable. Based on the result derived from Q-mode factor analysis of the coastal variables, the coastline of Taiwan can be classified into three coastal types with eleven coastal segments.
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Lin, Chien-Jen, and 林建任. "A Marine Biological Index Applied to Vulnerability of Biological Resources for Coastal Oil-Spills." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/44745832033327927882.

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碩士
大葉大學
環境工程學系碩士班
96
It should be considerable and well planned for environmental protection in coastal area. The conservation function of eco-community as well as shielding function for oil spills impact are most concerned and assessed in coastal management. Deterioration of ecosystem by pollution is subjected to be a major consideration through the oil impact to coastal environment. Meanwhile, the damage to biota and its habitat is the most concerned. The NOAA built up an "environment sensitivity index (ESI)" map for oil-spills emergency response in 1976. The environmental indicators include shoreline classification, biological resources and human-use resources, or called socio-economic resources. They present alike sense within integrated communities in the same ecosystem of coastal area. They are induced reaction level under the impacts of adverse changes for safety, survival and reproduction. Furthermore, the index to biological resources is weighted by "vulnerability" to respond the pollution or the disaster which endanger security, survival and reproduction for biota. The evaluation of ecosystem by specified index usually can provide a healthy sign for environmental monitoring. The sensitivity is actually rather subjective, however it can represent a relative perception from pollution in biota. In this text, the concept of "ecological health" is introduced. Also, a marine biotic index (AMBI) is proposed to evaluate the impact by oil. The proper rank of quantified index for biotic health is needed to be built, too. Building a framework of suitable evaluation system for biological resources in Taiwan is expected in near future. There area two oil-spill cases in southern Taiwan are applied by this model. The simulated results show the coincidence with original report. It means that the application of AMBI is capable in Taiwan’s marine environment.
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Kellerman, Frances Anne. "Clash of the built and natural environments : a vulnerability index to flood risk in Galveston County, Texas." 2013. http://hdl.handle.net/2152/22736.

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Vulnerability occurs at the intersection of natural geophysical forces and human settlement decisions. When humans decide to place themselves and their homes in harm’s way and disinvest in mitigation measures, vulnerability ensues. Human decisions have and continue to play a large role in furthering vulnerability, especially in coastal communities. With roughly 50 percent of the United States’ population currently located on the coast and with rapid development only projected to continue, coastal communities will be faced with a future of exacerbated flood events that will result in increased surface runoff, flooding, and economic losses. This report focuses on better understanding how the build environment exacerbates coastal vulnerability. This research involves the creation of a spatial vulnerability index to flood risk for Galveston County which uncovers the degree with which the built environment is exposed to flood risk and how this vulnerability can be responded to in a manner that builds coastal resiliency.
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Conner, Teresa Ann. "Social vulnerability and adaptive capacity to climate change impacts : identifying attributes in two remote coastal communities on Haida Gwaii, British Columbia." Thesis, 2005. http://hdl.handle.net/1828/1248.

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This study investigates the contribution of including local stakeholders in the early stages of identifying local attributes of vulnerability, adaptive capacity and resiliency to climate change impacts. The research is specific to two remote coastal communities on Haida Gwaii (The Queen Charlotte Islands), British Columbia. It includes community feedback on research tools, as well as on local attributes of vulnerability and adaptive capacity. I employ multiple methods and a participatory approach for data collection. Using this approach I discovered that some of the attributes I originally believed contributed to vulnerability were perceived by participants as strengthening their community. Other attributes which I believed to be strengthening, were viewed by participants as contributing to vulnerability. This thesis illustrates how the use of multiple methods and a participatory approach contribute to greater knowledge and understanding, by both the researcher and the community, of local attributes of vulnerability and adaptive capacity to projected climate change impacts.
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Divakarannair, Nandakumar. "Livelihood assets and survival strategies in coastal communities in Kerala, India." Thesis, 2007. http://hdl.handle.net/1828/260.

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Marine fish stocks are under serious threat of depletion due to increasing numbers of resource users with competing interests, resulting in degradation and the decline of fish catch. Using qualitative and quantitative techniques such as in-depth interviews, focus group discussions, household surveys and remote sensing and GIS, this study addresses: (1) the complex and inter-related nature of resource dependency, (2) the role of assets in determining survival strategies of households in artisanal fishing communities in Ponnani, India, (3) how asset degradation impacts resource-dependent households, (4) how households develop survival strategies, and (5) considers access to social, political, physical, human and financial assets. Information is organized using the Sustainable Livelihoods Framework (SLF) with modifications to suite the local complexities. Results show that households - engaged in diverse activities, including fishing, fish processing/marketing/culture and daily labour - evolved property rights of natural resources over generations. The Pathemari cargo business’s limited knowledge of fisheries compared to artisanal fishers, and the government led modernization resulted in resource degradation. Therefore, artisanal fishers living in coastal wards threatened by intense erosion, abandoned traditional occupations in pursuit of livelihood security. Results from image analysis and derived thematic maps indicate increased erosion of 0.35 sq km shoreline coinciding with government development initiatives. To improve livelihood options, the results indicate that 50% surveyed accessed political assets such as fishers’ cooperatives and only 20% accessed financial assets such as government sponsored schemes and loans. In-depth interviews and focus group discussions revealed many limiting factors of access, specifically marginalization and lack of financial assets: only 6% surveyed could raise enough money to migrate. With changes in technology, from harvesting to processing, gender roles are being radically altered. Women are losing jobs and income. Politically, the study revealed that local participation helped governing bodies prioritize on housing, roads, water and sanitation. Analysis of the information through the modified SLF suggests three strategies to enhance the asset base of coastal poor: strengthening grassroots organizations; transforming state relations; and developing new alternatives to conventional coastal development practice. Finally, the study suggests resource management policies to improve the households’ livelihood options and well-being.
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Books on the topic "Coastal Vulnerability Index"

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Yunus, Mohammad (Research fellow), author and Bangladesh Institute of Development Studies, eds. Measurement of livelihoods vulnerability index for the coastal districts of Bangladesh. Dhaka: Bangladesh Institute of Development Studies, 2013.

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McLaughlin, Suzanne. Assessment and development of a coastal vulnerability index for Northern Ireland employing GIS techniques. [S.l: The Author], 2001.

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Buchanan, Rachel. Development of a coastal classification and vulnerability index for Northern Ireland utilising a Geographic Information System. [S.l: The Author], 2002.

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Sumith, Pathirana, Shi Hua, and United Nations Environment Programme, eds. Assessing coastal vulnerability: Developing a global index for measuring risk / [authors: Ashbindu Singh, Sumith Pathirana, Hua Shi]. [Nairobi, Kenya]: United Nations Environment Programme, 2006.

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Programme, United Nations Environment, ed. Assessing coastal vulnerability: Developing a global index for measuring risk. [Nairobi, Kenya]: United Nations Environment Programme, 2006.

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Book chapters on the topic "Coastal Vulnerability Index"

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Ekanem, Jemimah Timothy, and Idongesit Michael Umoh. "Social Vulnerability of Rural Dwellers to Climate Variability: Akwa Ibom State, Nigeria." In African Handbook of Climate Change Adaptation, 1–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-42091-8_232-1.

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AbstractFor their livelihood activities, rural farming communities depend more on extractive capital. Their capacity to cultivate sufficiently for their family maintenance is greatly impeded by the absence of either temperature or rainfall quantity pattern or uniformity. The divergent effects of recent extreme weather events around the world, including within relatively small geographical areas, exemplify the unequal impacts of climate change on populations. Akwa Ibom State has been found vulnerable to extreme weather events, such as flooding, severe storms, and rising sea levels, leading to homelessness, poverty, conflicts, and war for millions of people. All of these have resulted in social disturbances and dislocations among rural populations, especially in coastal communities, making them more vulnerable to climate variability. In the field of social vulnerability in the state, not much has been achieved. This chapter analyzes the vulnerability of the rural population to climate variability; the socio-economic characteristics of the rural population; the index of social vulnerability of rural dwellers to climate variability; social vulnerability factors; and the rural population’s social vulnerability mitigation initiatives in Akwa Ibom State, Nigeria. Social science approaches to human vulnerability draw critical attention to the root causes and factors why people are forced to respond to risks from climate change. A complex social approach to vulnerability is most likely to enhance mitigation and adaptation preparation efforts, given that vulnerability is a multidimensional mechanism rather than an invariable state.
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Ekanem, Jemimah Timothy, and Idongesit Michael Umoh. "Social Vulnerability of Rural Dwellers to Climate Variability: Akwa Ibom State, Nigeria." In African Handbook of Climate Change Adaptation, 2269–91. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_232.

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AbstractFor their livelihood activities, rural farming communities depend more on extractive capital. Their capacity to cultivate sufficiently for their family maintenance is greatly impeded by the absence of either temperature or rainfall quantity pattern or uniformity. The divergent effects of recent extreme weather events around the world, including within relatively small geographical areas, exemplify the unequal impacts of climate change on populations. Akwa Ibom State has been found vulnerable to extreme weather events, such as flooding, severe storms, and rising sea levels, leading to homelessness, poverty, conflicts, and war for millions of people. All of these have resulted in social disturbances and dislocations among rural populations, especially in coastal communities, making them more vulnerable to climate variability. In the field of social vulnerability in the state, not much has been achieved. This chapter analyzes the vulnerability of the rural population to climate variability; the socio-economic characteristics of the rural population; the index of social vulnerability of rural dwellers to climate variability; social vulnerability factors; and the rural population’s social vulnerability mitigation initiatives in Akwa Ibom State, Nigeria. Social science approaches to human vulnerability draw critical attention to the root causes and factors why people are forced to respond to risks from climate change. A complex social approach to vulnerability is most likely to enhance mitigation and adaptation preparation efforts, given that vulnerability is a multidimensional mechanism rather than an invariable state.
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Kouz, T., H. Cherkaoui Dekkaki, S. Mansour, M. Hassani Zerrouk, and T. Mourabit. "Application of GALDIT Index to Assess the Intrinsic Vulnerability of Coastal Aquifer to Seawater Intrusion Case of the Ghiss-Nekor Aquifer (North East of Morocco)." In Environmental Earth Sciences, 169–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69356-9_20.

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"Index." In Vulnerability of Coastal Ecosystems and Adaptation, 309–12. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119007739.index.

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"Amulti-scale coastal vulnerability index: A tool for coastal managers?" In Coastal Hazards and Vulnerability, 19–34. Routledge, 2010. http://dx.doi.org/10.4324/9781849775755-2.

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Gomes, Pedro Miguel, and Francisco Sacramento Gutierres. "Impact of Sea Level Rise on Coastal Regions and Strategic Responses." In Handbook of Research on Environmental Policies for Emergency Management and Public Safety, 239–55. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3194-4.ch013.

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This chapter includes an assessment of physical vulnerability of the coast, including a coastal vulnerability index composed of 9 physical variables—elevation, distance to shore, tide amplitude, significant wave weight, erosion/accretion rates, geology, geomorphology, ground cover vegetation, and anthropogenic actions—followed by a quantification of coastal recession and the data of special report on emissions scenarios (SRES) developed by the Intergovernmental Panel on Climate Change (IPCC) on the rise in average sea level. It includes an estimate of the economic value of an area of recreation based on the travel cost method. Finally, a bibliographic review is made to assess strategies and responses to the impacts of sea level rise in order to make comparisons and to develop a road map of interventions for shoreline protection. The proposed methodology was applied to a case study on the Portuguese coast corresponding to the beaches of Costa de Caparica, Almada.
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Karmaoui, Ahmed, Abdelkrim Ben Salem, and Guido Minucci. "Composite Indicators as Decision Support Method for Flood Analysis." In Advances in Environmental Engineering and Green Technologies, 28–41. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9771-1.ch002.

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Floods are highly relevant extreme events with increasing frequency at a global scale. They remain among the most dangerous and complex natural disasters in middle and low-income countries. In this context, it is necessary to develop decision-support tools to reduce the flood risk and increase the resilience. The chapter reviews one of the most relevant tools, the flood vulnerability index (FVI) category at a global scale. These tools use hydrological, topographic, socio-economic parameters strongly associated with flood vulnerability. The findings indicate that FVI is a flexible tool for integrated assessment of vulnerability to floods for application in different regions. Social, environmental, and physical components are the main components used in the FVI. Household and neighborhood, basin, urban, sub-catchment, and coastal are the different levels of vulnerability analysis.
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Gnanachandrasamy, G., T. Ramkumar, J. Y. Chen, S. Venkatramanan, S. Vasudevan, and S. Selvam. "Evaluation of Vulnerability Zone of a Coastal Aquifer Through GALDIT GIS Index Techniques." In GIS and Geostatistical Techniques for Groundwater Science, 209–21. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-815413-7.00015-8.

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Wahab, A., D. Ishak, and M. Jamal. "Coastal vulnerability index at a RAMSAR site: A case study of Kukup mangrove island." In Civil, Offshore and Environmental Engineering, 9–13. CRC Press, 2016. http://dx.doi.org/10.1201/b21942-4.

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Wahab, A. K. A., D. S. M. Ishak, and M. H. Jamal. "Coastal vulnerability index at a RAMSAR site: A case study of Kukup mangrove island." In Engineering Challenges for Sustainable Future, 9–13. CRC Press, 2016. http://dx.doi.org/10.9774/gleaf.9781315375052_3.

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Conference papers on the topic "Coastal Vulnerability Index"

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Ferreira, Óscar, Rui Taborda, and J. Alveirinho Dias. "Morphological Vulnerability Index: A Simple Way of Determining Beach Behaviour." In 26th International Conference on Coastal Engineering. Reston, VA: American Society of Civil Engineers, 1999. http://dx.doi.org/10.1061/9780784404119.243.

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Ermolov, Alexander, and Alexander Ermolov. "ECOLOGICAL AND GEOMORPHOLOGICAL ASSESSMENT OF THE VULNERABILITY OF THE COASTS OF THE KARA SEA TO THE OIL SPILL." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4317604afe.

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International experience of oil spill response in the sea defines the priority of coastal protection and the need to identify as most valuable in ecological terms and the most vulnerable areas. Methodological approaches to the assessing the vulnerability of Arctic coasts to oil spills based on international systems of Environmental Sensitivity Index (ESI) and geomorphological zoning are considered in the article. The comprehensive environmental and geomorphological approach allowed us to form the morphodynamic basis for the classification of seacoasts and try to adapt the international system of indexes to the shores of the Kara Sea taking into account the specific natural conditions. This work has improved the expert assessments of the vulnerability and resilience of the seacoasts.
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Ermolov, Alexander, and Alexander Ermolov. "ECOLOGICAL AND GEOMORPHOLOGICAL ASSESSMENT OF THE VULNERABILITY OF THE COASTS OF THE KARA SEA TO THE OIL SPILL." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b93bbd3c097.74338053.

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International experience of oil spill response in the sea defines the priority of coastal protection and the need to identify as most valuable in ecological terms and the most vulnerable areas. Methodological approaches to the assessing the vulnerability of Arctic coasts to oil spills based on international systems of Environmental Sensitivity Index (ESI) and geomorphological zoning are considered in the article. The comprehensive environmental and geomorphological approach allowed us to form the morphodynamic basis for the classification of seacoasts and try to adapt the international system of indexes to the shores of the Kara Sea taking into account the specific natural conditions. This work has improved the expert assessments of the vulnerability and resilience of the seacoasts.
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Castillo, Itzel, and Ariel A. Grey. "Determination of a Risk and Vulnerability Index in Function to the Physicochemical Quality of Marine-Coastal Surface Waters and Socioeconomic Factors: Case Study Isla Colón, Bocas del Toro." In 2019 7th International Engineering, Sciences and Technology Conference (IESTEC). IEEE, 2019. http://dx.doi.org/10.1109/iestec46403.2019.00057.

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Reports on the topic "Coastal Vulnerability Index"

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Wraight, Sarah, Julia Hofmann, Justine Allpress, and Brooks Depro. Environmental justice concerns and the proposed Atlantic Coast Pipeline route in North Carolina. RTI Press, March 2018. http://dx.doi.org/10.3768/rtipress.2018.mr.0037.1803.

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This report describes publicly available data sets and quantitative analysis that local communities can use to evaluate environmental justice concerns associated with pipeline projects. We applied these data and analytical methods to two counties in North Carolina (Northampton and Robeson counties) that would be affected by the proposed Atlantic Coast Pipeline (ACP). We compared demographic and vulnerability characteristics of census blocks, census block groups, and census tracts that lie within 1 mile of the proposed pipeline route with corresponding census geographies that lie outside of the 1-mile zone. Finally, we present results of a county-level analysis of race and ethnicity data for the entire North Carolina segment of the proposed ACP route. Statistical analyses of race and ethnicity data (US Census Bureau) and Social Vulnerability Index scores (University of South Carolina’s Hazards & Vulnerability Research Institute) yielded evidence of significant differences between the areas crossed by the pipeline and reference geographies. No significant differences were found in our analyses of household income and cancer risk data.
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