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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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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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Irham, Muhammad, Ichsan Rusydi, Haekal A. Haridhi, Ichsan Setiawan, Yopi Ilhamsyah, Anwar Deli, Muhammad Rusdi, and Annisa Mardiah Siregar. "Coastal Vulnerability of the West Coast of Aceh Besar: A Coastal Morphology Assessment." Journal of Marine Science and Engineering 9, no. 8 (July 28, 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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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 (July 20, 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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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 (August 16, 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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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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Le, Hien Thi Thu, and Hai Quang Ha. "Mapping vulnerability of Binh Thuan coastal zone." Science and Technology Development Journal 16, no. 3 (September 30, 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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Mclaughlin, Suzanne, and J. Andrew G. Cooper. "A multi-scale coastal vulnerability index: A tool for coastal managers?" Environmental Hazards 9, no. 3 (September 1, 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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Ružić, Igor, Sanja Dugonjić Jovančević, Čedomir Benac, and Nino Krvavica. "Assessment of the Coastal Vulnerability Index in an Area of Complex Geological Conditions on the Krk Island, Northeast Adriatic Sea." Geosciences 9, no. 5 (May 14, 2019): 219. http://dx.doi.org/10.3390/geosciences9050219.
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This study presents a vulnerability assessment methodology that was developed to analyze the Croatian Eastern Adriatic Coast (CEAC), which has extremely complex geomorphology. Local coastal retreat, slope instability phenomena, and the influence of marine erosion play a significant role in coastal geohazards in the southeastern coastal area of the Krk Island (Kvarner area, northeastern channel part of the Adriatic Sea). Recent studies emphasize the need to develop an adequate methodology to monitor its evolution and define adequate risk management strategies. The vulnerability analysis was performed on the basis of the available data, taking into account local geological and oceanographic conditions. The coastal vulnerability analysis of the CEAC presents an adaptation of the existing methodology, emphasizing the significance of the geological factor, and providing novel elements of the parameter analysis (i.e., coastal slope, beach width, and significant wave height). This methodology was adapted and improved for the local rocky coast, but can be used on other complex rocky coasts worldwide. The calculated Coastal Vulnerability Index (CVI) around the Stara Baška settlement should be considered to have priority over the vulnerable areas in further monitoring and investigations.
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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 (September 11, 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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Pethick, John S., and Stephen Crooks. "Development of a coastal vulnerability index: a geomorphological perspective." Environmental Conservation 27, no. 4 (December 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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Sancho, Francisco, Filipa S. B. F. Oliveira, and Paula Freire. "COASTAL DUNES VULNERABILITY INDEXES: A NEW PROPOSAL." Coastal Engineering Proceedings 1, no. 33 (December 15, 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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Canul, Roman, Edgar Mendoza, and Rodolfo Silva. "A PROBABILISTIC APPROACH TO A COASTAL VULNERABILITY INDEX: A TOOL FOR COASTAL MANAGERS." Coastal Engineering Proceedings, no. 36v (December 31, 2020): 37. http://dx.doi.org/10.9753/icce.v36v.papers.37.
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Vulnerability assessment is invaluable information for coastal managers to develop better coastal development plans. Two approaches to do so are presented here: one evaluates vulnerability from a deterministic view applying the analytical hierarchy process (AHP); the second uses a probabilistic approach based on the Latin Hypercube and Monte Carlo modeling, therefore it considers the probability distribution functions of the variables under analysis. The results show that a probabilistic approach is more suitable for the assessment of coastal vulnerability.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/WDbsVMYsnJs
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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 (February 27, 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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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 (April 29, 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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Kwasi, Appeaning Addo. "Coastal Vulnerability Index to Sea Level Rise in Ghana." Coastal and Marine Research 2, no. 1 (2014): 1. http://dx.doi.org/10.12966/cmr.01.01.2014.
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Koroglu, Aysun, Roshanka Ranasinghe, José A. Jiménez, and Ali Dastgheib. "Comparison of Coastal Vulnerability Index applications for Barcelona Province." Ocean & Coastal Management 178 (August 2019): 104799. http://dx.doi.org/10.1016/j.ocecoaman.2019.05.001.
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Imran, Z., S. W. Sugiarto, and A. N. Muhammad. "Coastal vulnerability index aftermath tsunami in Palu Bay, Indonesia." IOP Conference Series: Earth and Environmental Science 420 (February 20, 2020): 012014. http://dx.doi.org/10.1088/1755-1315/420/1/012014.
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Pantusa, Daniela, Felice D’Alessandro, Luigia Riefolo, Francesca Principato, and Giuseppe Tomasicchio. "Application of a Coastal Vulnerability Index. A Case Study along the Apulian Coastline, Italy." Water 10, no. 9 (September 10, 2018): 1218. http://dx.doi.org/10.3390/w10091218.
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The coastal vulnerability index (CVI) is a popular index in literature to assess the coastal vulnerability of climate change. The present paper proposes a CVI formulation to make it suitable for the Mediterranean coasts; the formulation considers ten variables divided into three typological groups: geological; physical process and vegetation. In particular, the geological variables are: geomorphology; shoreline erosion/accretion rates; coastal slope; emerged beach width and dune width. The physical process variables are relative sea-level change; mean significant wave height and mean tide range. The vegetation variables are width of vegetation behind the beach and posidonia oceanica. The first application of the proposed index was carried out for a stretch of the Apulia region coast, in the south of Italy; this application allowed to (i) identify the transects most vulnerable to sea level rise, storm surges and waves action and (ii) consider the usefulness of the index as a tool for orientation in planning strategies. For the case study presented in this work, the most influential variables in determining CVI are dune width and geomorphology. The transects that present a very high vulnerability are characterized by sandy and narrow beaches (without dunes and vegetation) and by the absence of Posidonia oceanica.
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Yang, Xuchao, Lin Lin, Yizhe Zhang, Tingting Ye, Qian Chen, Cheng Jin, and Guanqiong Ye. "Spatially Explicit Assessment of Social Vulnerability in Coastal China." Sustainability 11, no. 18 (September 17, 2019): 5075. http://dx.doi.org/10.3390/su11185075.
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Social vulnerability assessment has been recognized as a reliable and effective measure for informing coastal hazard management. Although significant advances have been made in the study of social vulnerability for over two decades, China’s social vulnerability profiles are mainly based on administrative unit. Consequently, no detailed distribution is provided, and the capability to diagnose human risks is hindered. In this study, we established a social vulnerability index (SoVI) in 2000 and 2010 at a spatial resolution of 250 m for China’s coastal zone by combining the potential exposure index (PEI) and social resilience index (SRI). The PEI with a 250 m resolution was obtained by fitting the census data and multisource remote sensing data in random forest model. The county-level SRI was evaluated through principal component analysis based on 33 socioeconomic variables. For identifying the spatiotemporal change, we used global and local Moran’s I to map clusters of SoVI and its percent change in the decade. The results suggest the following: (1) Counties in the Yangtze River Delta, Pearl River Delta, and eastern Guangzhou, except several small hot spots, exhibited the most vulnerability, especially in urban areas, whereas those in Hainan and southern Liaoning presented the least vulnerability. (2) Notable increases were emphasized in Tianjin, Yangtze River Delta, and Pearl River Delta. The spatiotemporal variation and heterogeneity in social vulnerability obtained through this analysis will provide a scientific basis to decision-makers to focus risk mitigation effort.
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Yanti, Veri, Ella Mailianda, and Syamsidik Syamsidik. "ANALISIS PENGARUH PARAMETER FISIK TERHADAP INDEKS KERENTANAN PANTAI (CVI) DI KAWASAN PANTAI BANDA ACEH DAN SEKITARNYA (STUDI KASUS PADA KAWASAN UJUNG PANCU SAMPAI UJUNG BATEE)." Jurnal Arsip Rekayasa Sipil dan Perencanaan 2, no. 2 (June 4, 2019): 123–33. http://dx.doi.org/10.24815/jarsp.v2i2.13212.
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A coastal area has important and vital influences on community’s lives due to the natural resource availability. The coastal area occurs any changes over time affecting the changes in the community and in the ecological perspectives. Banda Aceh is one of the coastal areas that has experienced several significant changes especially after earthquake and tsunami on December, 26th 2004. Due to the condition, it is required to analyze coastal vulnerability in Banda Aceh and neighbor. This research was aimed to investigate the influences of physic parameters consisting of hydrodynamic and morphology parameters on determining Coastal Vulnerability Index (CVI). The analysis will determine the coastal vulnerability index in one year period. The analysis was carried out in the northern coast of Aceh Province, between Ujong Pancu and Ujung Batee by dividing the areas into 5 (five) cells bordered by natural morphology feature such as inlet, headland, river estuary, and lagoon. Based on 6 (six) physical parameters used on coastal vulnerability index (CVI) determination, it is obtained that 2 cells have low risk potential (green), which are Cell 1 and Cell 3 with the CVI values are 2.45 and 3.0, respectively. Cell 2 has moderate risk potential (yellow) with CVI value is 4.24. Meanwhile, Cell 4 and Cell 5 have high risk potential (red) with CVI values are 5.20
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Furlan, E., P. Dalla Pozza, M. Michetti, S. Torresan, A. Critto, and A. Marcomini. "Development of a Multi-Dimensional Coastal Vulnerability Index: Assessing vulnerability to inundation scenarios in the Italian coast." Science of The Total Environment 772 (June 2021): 144650. http://dx.doi.org/10.1016/j.scitotenv.2020.144650.
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Kasim, Faizal, and Vincentius P. Siregar. "Penilaian Kerentanan Pantai menggunakan Metode Integrasi CVI-MCA Studi Kasus Pantai Indramayu." Forum Geografi 26, no. 1 (July 20, 2012): 65. http://dx.doi.org/10.23917/forgeo.v26i1.5051.
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The increasing of sea level due to climate change has been focused many research activities in order to know the coastal response to the change, and determine the important variables which have contribution to the coastal change. This paper presents a method for integrating Coastal Vulnerability Index (CVI), Multi Criteria Analysis (MCA) method and Geographic Information-System (GIS) technology to map the coastal vulnerability. The index is calculated based-on six variables: coastal erosion, geomorphology, slope, significant wave height, sea level change and tidal range. Emphasize has been made to the methodological aspect, essentially which is linked to: (i) the use of GIS technique for constructing, interpolation, filtering and resampling the data for shoreline grid, (ii) the standardization each rank of variables (0-1) and the use of several percentile (20%, 40%, 60%, and 80%) for each rank score, and (iii) the use of variable’s rank to map the relative (local) and standard (global) vulnerability of the coastline. The result show that for local, the index consist of four categories: very high (19.61%), high (68.63%), moderate (1,96%), and low (9.80%). Meanwhile, for global level, the index is constantly in low category.
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Serio, Francesca De, Elvira Armenio, Michele Mossa, and Antonio Felice Petrillo. "How to Define Priorities in Coastal Vulnerability Assessment." Geosciences 8, no. 11 (November 12, 2018): 415. http://dx.doi.org/10.3390/geosciences8110415.
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Awareness of coastal landscapes vulnerability to both natural and man-made hazards induce to monitor their evolution, adaptation, resilience and to develop appropriate defence strategies. The necessity to transform the monitoring results into useful information is the motivation of the present paper. Usually, to this scope, a coastal vulnerability index is deduced, by assigning ranking values to the different parameters governing the coastal processes. The principal limitation of this procedure is the individual discretion used in ranking. Moreover, physical parameters are generally considered, omitting socio-economic factors. The aim of the present study is to complement a geographical information system (GIS) with an analytical hierarchical process (AHP), thus allowing an objective prioritization of the key parameters. Furthermore, in the present case, socio-economic parameters have been added to physical ones. Employing them jointly, an integrated coastal vulnerability index (ICVI) has been estimated and its effectiveness has been investigated. To show how it works, the proposed method has been applied to a portion of the Adriatic coastline, along the Apulian region in southern Italy. It has permitted to identify and prioritize the most vulnerable areas, revealing its efficacy as a potential tool to support coastal planning and management.
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Anfuso, Giorgio, Matteo Postacchini, Diana Di Luccio, and Guido Benassai. "Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review." Journal of Marine Science and Engineering 9, no. 1 (January 12, 2021): 72. http://dx.doi.org/10.3390/jmse9010072.
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Coastal area constitutes a vulnerable environment and requires special attention to preserve ecosystems and human activities therein. To this aim, many studies have been devoted both in past and recent years to analyzing the main factors affecting coastal vulnerability and susceptibility. Among the most used approaches, the Coastal Vulnerability Index (CVI) accounts for all relevant variables that characterize the coastal environment dealing with: (i) forcing actions (waves, tidal range, sea-level rise, etc.), (ii) morphological characteristics (geomorphology, foreshore slope, dune features, etc.), (iii) socio-economic, ecological and cultural aspects (tourism activities, natural habitats, etc.). Each variable is evaluated at each portion of the investigated coast, and associated with a vulnerability level which usually ranges from 1 (very low vulnerability), to 5 (very high vulnerability). Following a susceptibility/vulnerability analysis of a coastal stretch, specific strategies must be chosen and implemented to favor coastal resilience and adaptation, spanning from hard solutions (e.g., groins, breakwaters, etc.) to soft solutions (e.g., beach and dune nourishment projects), to the relocation option and the establishment of accommodation strategies (e.g., emergency preparedness).
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Hong, H., S. Cui, and L. Zhang. "A coastal vulnerability index and its application in Xiamen, China." Aquatic Ecosystem Health & Management 9, no. 3 (September 2006): 333–37. http://dx.doi.org/10.1080/14634980600883035.
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Lee, Haemi, Tae soon Kang, and Kwangwoo Cho. "Impact Assessment of Sea_Level Rise based on Coastal Vulnerability Index." Journal of Korean Society of Coastal and Ocean Engineers 27, no. 5 (October 31, 2015): 304–14. http://dx.doi.org/10.9765/kscoe.2015.27.5.304.
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Abdelaty, Emad. "Coastal Erosion Assessment of the Nile Delta Coast using Remote Sensing, GIS, and Modified Coastal Vulnerability Index." Alexandria Science Exchange Journal 42, no. 3 (September 30, 2021): 645–55. http://dx.doi.org/10.21608/asejaiqjsae.2021.188083.
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Hoque, Muhammad Ziaul, Shenghui Cui, Lilai Xu, Imranul Islam, Jianxiong Tang, and Shengping Ding. "Assessing Agricultural Livelihood Vulnerability to Climate Change in Coastal Bangladesh." International Journal of Environmental Research and Public Health 16, no. 22 (November 18, 2019): 4552. http://dx.doi.org/10.3390/ijerph16224552.
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The adverse impacts of climate change exert mounting pressure on agriculture-dependent livelihoods of many developing and developed nations. However, integrated and spatially specific vulnerability assessments in less-developed countries like Bangladesh are rare, and insufficient to support the decision-making needed for climate-change resilience. Here, we develop an agricultural livelihood vulnerability index (ALVI) and an integrated approach, allowing for (i) mapping out the hot spots of vulnerability distribution; (ii) identifying key factors of spatially heterogeneous vulnerability; and (iii) supporting intervention planning for adaptation. This study conceptualized vulnerability as a function of exposure, sensitivity, and adaptive capacity by developing a composite index from a reliable dataset of 64 indicators comprising biophysical, agro-ecological, and socioeconomic variables. The empirical studies of coastal Bangladesh revealed that Bhola, Patuakhali, and Lakshmipur districts, around the mouth of the deltaic Meghna estuaries, are the hot spot of vulnerability distribution. Furthermore, the spatially heterogeneous vulnerability was triggered by spatial variation of erosion, cyclones, drought, rain-fed agriculture, land degradation, soil phosphorus, crop productivity, sanitation and housing condition, infant mortality, emergency shelters, adoption of agro-technology. The integrated approach could be useful for monitoring and evaluating the effectiveness of adaptation intervention by substituting various hypothetical scenarios into the ALVI framework for baseline comparison.
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Sbai, Mohammed Adil, Abdelkader Larabi, Marwan Fahs, and Joanna Doummar. "A New Normalized Groundwater Age-Based Index for Quantitative Evaluation of the Vulnerability to Seawater Intrusion in Coastal Aquifers: Implications for Management and Risk Assessments." Water 13, no. 18 (September 11, 2021): 2496. http://dx.doi.org/10.3390/w13182496.
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The vulnerability of coastal aquifers to seawater intrusion has been largely relying on data-driven indexing approaches despite their shortcomings to depict the complex processes of groundwater flow and mass transport under variable velocity conditions. This paper introduces a modelling-based alternative technique relying on a normalized saltwater age vulnerability index post-processed from results of a variable density flow simulation. This distributed index is obtained from the steady-state distribution of the salinity and a restriction of the mean groundwater age to a mean saltwater age distribution. This approach provides a novel way to shift from the concentration space into a vulnerability assessment space to evaluate the threats to coastal aquifers. The method requires only a sequential numerical solution of two steady state sets of equations. Several variants of the hypothetical Henry problem and a case study in Lebanon are selected for demonstration. Results highlight this approach ability to rank, compare, and validate different scenarios for coastal water resources management. A novel concept of zero-vulnerability line/surface delineating the coastal area threatened by seawater intrusion has shown to be relevant for optimal management of coastal aquifers and risk assessments. Hence, this work provides a new tool to sustainably manage and protect coastal groundwater resources.
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Mehzabin, Sabrina, and M. Shahjahan Mondal. "Assessing Impact of Climate Variability in Southwest Coastal Bangladesh Using Livelihood Vulnerability Index." Climate 9, no. 7 (June 29, 2021): 107. http://dx.doi.org/10.3390/cli9070107.
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This study analyzed the variability of rainfall and temperature in southwest coastal Bangladesh and assessed the impact of such variability on local livelihood in the last two decades. The variability analysis involved the use of coefficient of variation (CV), standardized precipitation anomaly (Z), and precipitation concentration index (PCI). Linear regression analysis was conducted to assess the trends, and a Mann–Kendall test was performed to detect the significance of the trends. The impact of climate variability was assessed by using a livelihood vulnerability index (LVI), which consisted of six livelihood components with several sub-components under each component. Primary data to construct the LVIs were collected through a semi-structed questionnaire survey of 132 households in a coastal polder. The survey data were triangulated and supplemented with qualitative data from focused group discussions and key informant interviews. The results showed significant rises in temperature in southwest coastal Bangladesh. Though there were no discernable trends in annual and seasonal rainfalls, the anomalies increased in the dry season. The annual PCI and Z were found to capture the climate variability better than the currently used mean monthly standard deviation. The comparison of the LVIs of the present decade with the past indicated that the livelihood vulnerability, particularly in the water component, had increased in the coastal polder due to the increases in natural hazards and climate variability. The index-based vulnerability analysis conducted in this study can be adapted for livelihood vulnerability assessment in deltaic coastal areas of Asia and Africa.
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Baučić, Martina. "Household Level Vulnerability Analysis—Index and Fuzzy Based Methods." ISPRS International Journal of Geo-Information 9, no. 4 (April 19, 2020): 263. http://dx.doi.org/10.3390/ijgi9040263.
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Coastal vulnerability assessment due to climate change impacts, particularly for sea level rise, has become an essential part of coastal management all over the world. For the planning and implementation of adaptation measures at the household level, large-scale analysis is necessary. The main aim of this research is to investigate and propose a simple and viable assessment method that includes three key geospatial parameters: elevation, distance to coastline, and building footprint area. Two methods are proposed—one based on the Index method and another on fuzzy logic. While the former method standardizes the quantitative parameters to unit-less vulnerability sub-indices using functions (avoiding crisp classification) and summarizes them, the latter method turns quantitative parameters into linguistic variables and further implements fuzzy logic. For comparison purposes, a third method is considered: the existing Index method using crisp values for vulnerability sub-indices. All three methods were implemented, and the results show significant differences in their vulnerability assessments. A discussion on the advantages and disadvantages led to the following conclusion: although the fuzzy logic method satisfies almost all the requirements, a less complex method based on functions can be applied and still yields significant improvement.
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Nikolić, Željana, Luka Runjić, Nives Ostojić Škomrlj, and Elena Benvenuti. "Seismic Vulnerability Assessment of Historical Masonry Buildings in Croatian Coastal Area." Applied Sciences 11, no. 13 (June 28, 2021): 5997. http://dx.doi.org/10.3390/app11135997.
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(1) Background: The protection of built heritage in historic cities located in seismically active areas is of great importance for the safety of inhabitants. Systematic care and planning are necessary to detect the seismic vulnerability of buildings, in order to determine priorities in rehabilitation projects and to continuously provide funds for the reconstruction of the buildings. (2) Methods: In this study, the seismic vulnerability of the buildings in the historic center of Kaštel Kambelovac, a Croatian settlement located along the Adriatic coast, has been assessed through an approach based on the calculation of vulnerability indexes. The center consists of stone masonry buildings built between the 15th and 19th centuries. The seismic vulnerability method was derived from the Italian GNDT approach, with some modifications resulting from the specificity of the buildings in the investigated area. A new damage–vulnerability–peak ground acceleration relation was developed using the vulnerability indexes and the yield and collapse accelerations of buildings obtained through non-linear static analysis. (3) Results: A seismic vulnerability map, critical peak ground accelerations for early damage and collapse states, and damage index maps for two return periods have been predicted using the developed damage curves. (4) Conclusions: The combination of the vulnerability index method with non-linear pushover analysis is an effective tool for assessing the damage of a building stock on a territorial scale.
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Quiñones-Bustos, Catalina, Maria Teresa Bull, and Claudio Oyarzo-Vera. "Seismic and Coastal Vulnerability Assessment Model for Buildings in Chile." Buildings 11, no. 3 (March 9, 2021): 107. http://dx.doi.org/10.3390/buildings11030107.
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This article proposes a vulnerability assessment model for evaluating buildings’ expected seismic performance, as well as their vulnerability to tsunamis. The objective of this assessment is to provide appropriate information for decision makers regarding the need of repairs and reinforcement of buildings or other mitigation measures that need to be applied in a territory. A procedure for assessing seismic vulnerability and another methodology for evaluating tsunami vulnerability faced by coastal structures is presented. Finally, a method that integrates both procedures is proposed, providing a combined index of vulnerability. The assessment model was applied to the central area of the city of Talcahuano, Chile, which was affected by the 2010 Maule earthquake and tsunami.
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Priyadarshi, Sambit, S. N. Ojha, and Arpita Sharma. "An Assessment of Vulnerability of Fishers’ Livelihood to Climate Change in Coastal Odisha." Current World Environment 14, no. 1 (April 25, 2019): 60–67. http://dx.doi.org/10.12944/cwe.14.1.08.
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A study was conducted in Odisha, a state on the east coast of India, with the objective of assessing the vulnerability of fishers’ livelihood to climate change. The state was chosen for study since it is considered as one of the most vulnerable states due to climate change. A total of 120 fishers were interviewed from two districts, Balasore and Ganjam, to assess their livelihood vulnerability by considering their exposure, sensitivity and adaptive capacity to climate change. A composite livelihood vulnerability index by suggesting that fishers are vulnerable to climate change. For fishers of + 0.03 and for Ganjam it was 0.5 minima 0, and maxima 1 was used for the purpose. Baleswar the score was 0.56 0.04, s. The aggregated vulnerability score was found to be 0.54+The composite livelihood vulnerability index approach calculates vulnerability by aggregating data for a set of indicators for the components of vulnerability which include exposure, sensitivity, and adaptive capacity + 0.04. Vulnerability score was relatively higher in Baleswar due to higher scores on the exposure and sensitivity parameters overshadowing the higher adaptive capacity. The study shows evidence that marine fishers of Odisha are vulnerable to climate change. Also, it throws light on the location and context specificity of livelihood vulnerability.
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Azali, Nor Shahida, Firuza Begham Mustafa, and Khairulmaini Osman Salleh. "Analisis indeks vulnerabiliti komuniti miskin zon pinggir laut di Kelantan." Malaysian Journal of Society and Space 13, no. 4 (November 30, 2017): 138–52. http://dx.doi.org/10.17576/geo-2017-1304-13.
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Mudasser, Mehedi, Md Zakir Hossain, Khan Rubayet Rahaman, and Nur Mohammad Ha-Mim. "Investigating the Climate-Induced Livelihood Vulnerability Index in Coastal Areas of Bangladesh." World 1, no. 2 (September 15, 2020): 149–70. http://dx.doi.org/10.3390/world1020012.
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Understanding the complex dynamics of a household’s livelihood and potential vulnerabilities in the face of climate change is challenging. This research paper considers the Shyamnagar sub-district in the southern part of Bangladesh to analyze the complex issues of the vulnerability of livelihoods in the face of climate change. We conducted a questionnaire survey (n = 156) of approximately 15.6% of households in the study area. Consequently, we collected Geographical Information System (GIS) data and satellite imagery to demonstrate the land-use changes concerning vulnerabilities. A total of 54 indicators were selected to assess the livelihood vulnerability index, considering the demographic profiles, livelihood strategies, social networks, food security, water security, income, physical infrastructures, access to health services, and impacts of natural disasters. The results of the study demonstrate that only 21% of the people in the studied regions are less vulnerable to livelihood impacts in the face of climate change, while 23% of the households remain the most vulnerable. Moreover, inadequate social networks and inefficient livelihood strategies are contributing the most to the household vulnerability indices. Interestingly, the impacts of natural disasters remain the same for the whole study area and endure similarly when assessing household vulnerability. Finally, the study reveals that decision-makers may formulate effective adaptation policies to safeguard people and their livelihoods in the time of unprecedented climatic conditions in this unique area of Bangladesh.
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Chien, Lein Kwei, Wen Chien Tseng, Shu Yi Chiu, Chih Hsiang Hsu, and Wei Po Hwang. "Coastal Vulnerability Applied on Prevention and Management under Climate Change Impact." Advanced Materials Research 356-360 (October 2011): 791–800. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.791.
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Recently Taiwan's coastal land is highly development and utilization. Particularly in the west coastal space carry large bearing capacity. But the study assessment of the climate change capacity for coastal zoning has less researches in Taiwan. Therefore, this study discussed the management competition in laws, regulations and space, proposed the suitable designated range and criteria, established the indicators based on Chiu [1]. On the other hand, the increasing of typhoons frequency and sea level rise on the coastal impact are discussed. Combined with vulnerability in the coastal areas, through the relevant disaster risk analysis and assessment of coastal areas can be described by future adaptation strategies to climate change and coastal protection zoning basic analysis of the basis set. This study not only defined the range for Coastal Protection Areas (CPA), but also based on the suggestion of International Strategy for Disaster Reduction (ISDR) proposed the Coastal Vulnerability Index (CVI) and Coastal Vulnerability Level (CVL) fitting Taiwan's coastal environment by 10 factors and the impact of sea level rising. Finally, we developed a classification approach and designed criteria as a reference for coastal protection zone planning in the future.
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Mavromatidi, A., and E. Karymbalis. "ASSESSMENT OF SUSCEPTIBILITY TO SΕA-LΕVEL RISE IN THE COASTAL AREA OF PIERIA PREFECTURE." Bulletin of the Geological Society of Greece 50, no. 3 (July 27, 2017): 1721. http://dx.doi.org/10.12681/bgsg.11895.
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Tourism development in Greece has led to increasing pressure on coastal areas, which makes the study of sensitive coastal areas essential, in order to find appropriate solutions for their shielding. The aim of this study is an estimation of the effects of an anticipated sea level rise for the touristically developed part of Pieria Prefecture, which includes the settlements Paralia, Skala of Katerini, Olympic Beach, Korinos Beach and extends north to the area of the Kitrous saltworks and south to the mouth of Mavroneri river. Therefore the Coastal Vulnerability Index (CVI) is applied, in an attempt to determine the susceptible parts to the potential sea level rise. CVI depends on the following parameters: (a) coastal geomorphology, (b) coastal slope, (c) shoreline erosion/accretion rate, (d) relative sea-level rise fluctuations, (e) mean tidal range and (f) mean significant wave height. The classification of the coast, which is of particular socio-economic significance since it hosts urbanized areas, into five CVI classes (from very low vulnerability to very high vulnerability), showed that 43.6% of the entire coastline is of very high vulnerability.
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Benassai, G., A. Montuori, M. Migliaccio, and F. Nunziata. "Sea wave modeling with X-band COSMO-SkyMed<sup>©</sup> SAR-derived wind field forcing and applications in coastal vulnerability assessment." Ocean Science 9, no. 2 (March 20, 2013): 325–41. http://dx.doi.org/10.5194/os-9-325-2013.
Full textAbstract:
Abstract. In this paper, X-band COSMO-SkyMed© synthetic aperture radar (SAR) wind field data are first used to force coastal wind wave modeling for both sea wave numerical simulation and coastal vulnerability assessment purposes. The SAR-based wind field retrieval is accomplished by resolving the SAR-based wind speed and wind direction retrieval problems independently. The sea surface wind speed is retrieved through the azimuth cut-off procedure, and the sea surface wind direction is determined by the multi-resolution analysis of the discrete wavelet transform. The wind wave modeling is based on the third-generation Simulating WAves Nearshore (SWAN) model, which is used for sea wave state estimation in coastal and inland regions. The coastal vulnerability assessment is provided by means of a key parameter, known as impact index, which evaluates the coastal risk due to the inundation of the inshore land. Experiments consist of SWAN numerical simulations run with respect to some relevant wave storms recorded in the southern Tyrrhenian Sea on 2010, with applications in coastal vulnerability assessment along the Sele coastal plain. Experimental results show the benefits of blended wind field products, provided by European Centre for Medium Weather Forecast (ECMWF) model winds and SAR-based wind field estimations, for both wind wave modeling and coastal vulnerability assessment purposes.
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Kantamaneni, Komali, Michael Phillips, Tony Thomas, and Rhian Jenkins. "Assessing coastal vulnerability: Development of a combined physical and economic index." Ocean & Coastal Management 158 (May 2018): 164–75. http://dx.doi.org/10.1016/j.ocecoaman.2018.03.039.
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