Relevant bibliographies by topics / Coastal vulnerability

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Coastal vulnerability'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Coastal vulnerability"

1

Pamungkas, Rifky Jati, Gusti Diansyah, and Teungku Zia Ulqodry. "COASTAL VULNERABILITY MAPPING OF KALIANDA COAST, SOUTH LAMPUNG, USING COASTAL VULNERABILITY INDEX (CVI) METHOD." MARLIN 2, no. 1 (February 28, 2021): 107. http://dx.doi.org/10.15578/marlin.v2.i1.2021.107-114.

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The coastal region is a strategic area that has enormous potential. Kalianda is one of the coastal areas in South Lampung which has great potential with the main activities are fisheries and marine tourism, but it is also vulnerable to physical effects. The purpose of this study was to assess the vulnerability of physical parameters and to analyze the level of Coastal Vulnerability Index (CVI) in Kalianda, South Lampung. The results showed that the vulnerability level of the Kalianda Coast based on the rate of shoreline change and geomorphological parameters were at a very high level of vulnerability. Whereas based on the parameters of the mean significant wave height, the average tidal tides and beach slope, the Kalianda Coast was at a low level of vulnerability. Overall, the results of the analysis indicated that CVI value ranged from 3.10 to 9.94, which categorized as low and medium vulnerability levels. Distribution of Kalianda coastal vulnerability level along 3.30 km (11.29%) was at low vulnerability level and along 25.98 km (88.71%) was categorized as medium vulnerability level.
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Pamungkas, Rifky Jati, Gusti Diansyah, and Teungku Zia Ulqodry. "COASTAL VULNERABILITY MAPPING OF KALIANDA COAST, SOUTH LAMPUNG, USING COASTAL VULNERABILITY INDEX (CVI) METHOD." MARLIN 2, no. 1 (February 28, 2021): 107. http://dx.doi.org/10.15578/marlin.v2.i1.2021.107-114.

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The coastal region is a strategic area that has enormous potential. Kalianda is one of the coastal areas in South Lampung which has great potential with the main activities are fisheries and marine tourism, but it is also vulnerable to physical effects. The purpose of this study was to assess the vulnerability of physical parameters and to analyze the level of Coastal Vulnerability Index (CVI) in Kalianda, South Lampung. The results showed that the vulnerability level of the Kalianda Coast based on the rate of shoreline change and geomorphological parameters were at a very high level of vulnerability. Whereas based on the parameters of the mean significant wave height, the average tidal tides and beach slope, the Kalianda Coast was at a low level of vulnerability. Overall, the results of the analysis indicated that CVI value ranged from 3.10 to 9.94, which categorized as low and medium vulnerability levels. Distribution of Kalianda coastal vulnerability level along 3.30 km (11.29%) was at low vulnerability level and along 25.98 km (88.71%) was categorized as medium vulnerability level.
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Ramsay, Doug. "Managing coastal vulnerability." New Zealand Geographer 64, no. 2 (August 2008): 170–71. http://dx.doi.org/10.1111/j.1745-7939.2008.136_2.x.

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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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Junio, Regina P., Aurora C. Gonzales, and Teresita G. Montaño. "Understanding the Social Vulnerability of Coastal Communities." International Journal of Environmental Science and Development 6, no. 10 (2015): 737–40. http://dx.doi.org/10.7763/ijesd.2015.v6.690.

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6

Hereher, Mohamed E. "Coastal vulnerability assessment for Egypt's Mediterranean coast." Geomatics, Natural Hazards and Risk 6, no. 4 (October 18, 2013): 342–55. http://dx.doi.org/10.1080/19475705.2013.845115.

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7

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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Yadav, A. B., P. C. Mohanty, and A. Singh. "Coastal Vulnerability Assessment: A case study of the Ratnagiri coast, Maharashtra, India." IOP Conference Series: Earth and Environmental Science 1032, no. 1 (June 1, 2022): 012038. http://dx.doi.org/10.1088/1755-1315/1032/1/012038.

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Abstract The coastal zone is a vulnerable habitat that needs extra caution to protect ecosystems. Coastal systems are increasingly threatened by possible climate change consequences, as evidenced by the Intergovernmental Panel on Climate Change’s consecutive assessments. Increased tropical storm occurrences in recent years, in addition to the devastation caused by the tsunami in December 2004, have highlighted the necessity of analyzing the coast’s susceptibility to flooding-induced hazards to get a better knowledge of the factors that generate various hazards and, as a result, reduce the after-effects of future occurrences. The Ratnagiri coast in Maharashtra is prone to erosional hazards, periodic land rehabilitation, and sudden rises in sea level. The main objective is to calculate the CVI (Coastal Vulnerability Index) for the Ratnagiri coast. To analyze the vulnerability of the coastal region, eight risk parameters were used, viz. shoreline change rate, coastal elevation, sea level change rate, coastal slope, tide range, significant wave height, coastal geomorphology, and tsunami arrival height. The coastal vulnerability map was created by categorizing the numerous coastal portions into three vulnerability groups: high, medium, and low, which will aid coastal residents in risk mitigation in the future.
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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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10

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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Dissertations / Theses on the topic "Coastal vulnerability"

1

Mendoza, Ponce Ernesto Tonatiuh. "Coastal Vulnerability to Storms in the Catalan Coast." Doctoral thesis, Universitat Politècnica de Catalunya, 2008. http://hdl.handle.net/10803/6402.

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Este trabajo presenta un marco metodológico para la estimación de la vulnerabilidad costera al impacto de tormentas a dos escalas, regional y local. Se hace una evaluación de la vulnerabilidad costera física mediante la cuantificación de dos componentes: erosión e inundación. Posteriormente, ambos elementos son integrados en un Índice de Vulnerabilidad Costera. La metodología desarrollada cubre los siguientes pasos: (i) clasificación de tormentas, (ii) evaluación de la respuesta inducida en la playa -inundación y erosión- (iii) caracterización de las playas en la zona de estudio (iv) definición del índice de vulnerabilidad costera y (v) evaluación de la vulnerabilidad costera. Estos pasos han sido derivados y aplicados a la costa catalana (Mediterráneo Noroccidental español) y pueden ser adaptados a otras costas. Los resultados obtenidos pueden ser fácilmente utilizados por los gestores costeros para identificar zonas costeras sensibles a una clase de tormenta dada y sus procesos inducidos (inundación, erosión o la combinación de ambos) para decidir donde tomar acciones para mitigar estos impactos.
This work presents a methodological framework for the estimation of coastal vulnerability to storm impacts at two scales, regional and local. It estimates the physical coastal vulnerability through the quantification of two components: erosion and flooding. Afterwards the two elements are integrated into the so called Coastal Vulnerability Index. The methodological process covers the following steps: (i) storm classification, (ii) evaluation of the induced beach response -flood and erosion-, (iii) coastal zone characterization, (iv) definition of a coastal vulnerability index to storms and (v) assessment of the coastal vulnerability. These steps have been derived and applied to the Catalan coast (NW Spanish Mediterranean) and can be adapted to other coasts. The obtained results can be used by coastal managers in an easy manner to identify sensitive coastal stretches for a given storm class and the induced processes (flooding, erosion or combination of both) with the purpose to take actions and mitigate these impacts.
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Griffiths, Chevon. "Climate change and coastal vulnerability: application of vulnerability assessment methodologies in two coastal communities in South Africa." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/22970.

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Climate and environmental change is a phenomenon which is having a significant effect on human-ecological systems around the world. It is predicted to have a detrimental impact on certain groups and populations; among those most at risk are those who have the highest exposure and sensitivity to the climate and environmental changes and the lowest adaptive capacity. This includes coastal fishing communities and therefore necessitates action at a variety of scales in order to build the resilience of these individuals and groups to the predicted changes and their potential impacts. Vulnerability assessments (VAs) have been identified as an effective way to discover who is most vulnerable and to what threats or hazards. This is valuable as assistance can then be provided to the individuals, groups, regions or countries identified as most vulnerable. VAs can be conducted at a variety of scales and can be either quantitative or qualitative. This research project focused on vulnerability assessments conducted at the local level. These community-scale assessments are important as they are able to elicit finer-scale details, identify the greatest hazards and stressors, and conceptualize adaptation strategies that are locally-informed, context specific and targeted towards a specific community. The focus of this research project was to first assess the vulnerability of two coastal communities in South Africa, namely Doringbaai and St Helena Bay, using a suite of mixed methods which included focus group discussions, the review of secondary data, and key informant interviews. Secondly, this project aimed to assess the potential contribution of a 'rapid vulnerability assessment' (RVA) methodology, conducted in the same two coastal fishing communities, to gain information required to identify appropriate adaptation strategies in the context of climate and environmental change. The RVA is conducted as a workshop over a two-day period and may be followed by key informant interviews on the third day, if appropriate and required. This research sought to compare and contrast the information emanating from the RVA workshops with information obtained from the triangulation of mixed methods used in this study with respect to: key threats and stressors faced by the two small-scale fishing communities, identified environmental changes, impacts of these changes on fisher livelihoods, current coping strategies and potential adaptation strategies. Criteria for assessing the performance of the two different approaches were drawn from the literature and systematically documented. The outcome of the assessment showed that the RVA has value as a VA methodology and is able to identify locally relevant, potentially viable adaptation strategies. It is an effective approach for obtaining a good overview of the vulnerabilities of a community and is thus especially useful in under-resourced and data-poor regions. The conclusion was therefore that it is an exceptionally useful tool as a starting point for vulnerability assessments but can be enriched by combining it with other methods such as the review of secondary data, focus group discussions, surveys, questionnaires and key informant interviews. Furthermore, it is recommended that the RVA includes follow-up research and focuses on flexible adaptation strategies.
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Clouston, Beth. "Review of coastal vulnerability assessment for coastal zone management in metropolitan Adelaide /." Title page, contents and abstract only, 1995. http://web4.library.adelaide.edu.au/theses/09ENV/09envc647.pdf.

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Renaud, Alexander D. "Chesapeake Coastal Community Flood Vulnerability--Prediction and Verification." W&M ScholarWorks, 2016. https://scholarworks.wm.edu/etd/1539617962.

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Fast moving hurricanes and stationary nor’easters have resulted in significant flood damage in Chesapeake tidewater communities. The Chesapeake Bay region is one of A m erica’s most vulnerable regions with respect to sea-level rise, which will only increase storm surge impacts over upcoming decades. While the general trends are well documented, there is limited information relevant to specific communities’ relative flood risk and response. The dearth o f data is especially troublesome given the lengthy period o f time generally needed for communities to plan and implement adaptive action. This study contributes to the regional understanding of flood and sea-level rise vulnerability by applying physical, social, and combined vulnerability indices to tidally influenced localities along the Chesapeake Bay. Unlike other combinations of physical and socioeconomic data, the physical vulnerability index for this study is calculated at a scale that can directly link into social vulnerability index information at local and regional levels. The research also considers the distribution of coastal natural capital (in the form o f marshes and forests) alongside these indices at comparable scales. By calculating the indices for conditions o f the early 2000s, this study also tested their predictive value against Hurricane Isabel, a landmark 2003 storm that flooded areas across the region. Systematic verification “hindcasts” o f past events are relatively rare for vulnerability index evaluation. By attempting to establish connections between real flooding data, socioeconomic activity, and vulnerability indices, this study questions whether theoretical vulnerability indices work as true proxies for real world conditions. The results question the true utility o f these indices by showing limited relationships between vulnerability and changes in community socio-economic activity. The research also emphasizes the need for more data collection and consideration in order to better comprehensively understand coastal flood impacts and their management implications.
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Lacambra-Segura, Carmen Liliana. "Ecosystem-inclusive coastal vulnerability assessment in tropical Latin America." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608842.

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Bosom, García Eva. "Coastal vulnerability to storms at different time scales: application to the Catalan coast." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/277381.

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Storm-induced impacts are known to cause important economic and environmental damages to coastal systems worldwide. Consequently, the relevance of including hazards and vulnerability assessments in coastal policies has been highlighted during the last years, so that coastal managers can make informed decision to apply mitigation and/or adaptation plans. The main purpose of this thesis is to develop a methodology to quantitatively assess coastal vulnerability to storms at different time scales, considering the two main storm-induced hazards separately (inundation and erosion). In this work, vulnerability is defined as the potential of a coastal system to be harmed by the impact of a storm. Thus, it has been quantified by comparing the magnitude of the hazards with the adaptation ability of the coast. The proposed methodology is based on a probabilistic approach where hazard time series are fitted to an extreme value distribution. Consequently, hazard magnitudes and vulnerability are related to a probability of occurrence instead of to a determined storm event. The coastal manager has to decide the probability of occurrence to be accepted in the analysis, which will determine the return period (Tr) to be considered. Vulnerability indicators that compare the magnitude of each hazard to the response capability of the beach are built for erosion and inundation independently. Final vulnerability is formulated in terms of these two intermediate variables by means of a linear function that ranges from a minimum value of 0 (optimum state) to a maximum of 1 (failure state), defining 5 qualitative categories. In this particular case, these thresholds have been defined for each hazard in terms of the protection function provided by the beach. In order to evaluate changes in vulnerability at different time scales, variations in the adaptation ability of the coast due to the effects of other medium and long-term processes have also been considered. Taking into account the characteristics of the study area, erosion due to longshore sediment transport (LST) gradients and erosion and inundation caused by relative sea-level rise (RSLR) have been selected as the main medium and long-term coastal processes, respectively, to be analysed. In this sense, shoreline evolution rates have been used as representative of accretion/erosion due to LST, whereas different combinations of sea-level and subsidence scenarios have been used to determine erosion and inundation due to RSLR. The developed methodology has been applied to most of the sedimentary coastline (219 km) of Catalonia (NW Mediterranean). The results obtained for a Tr=50-yr show similar percentages of high and very high vulnerable coastline for erosion and inundation. However, the increase in vulnerability due to the contribution of LST and RSLR is slightly higher in the case of erosion. Results also indicate that changes in vulnerability due to RSLR are generally lower than those obtained when only LST is accounted. RSLR contribution is detected at longer time scales and is significantly higher in the southern part of the Catalan coast. This is mainly due to the presence of dissipative beaches with very mild slope together with the potentially significant subsidence of the Ebre delta. On the opposite, LST contribution does not seem to target any specific beach type. To conclude, the proposed method permits to identify the most vulnerable spots of a coastal area considering the dynamic response of the system at different time scales. This information is relevant for coastal managers when it comes to efficiently allocate the available resources. Moreover, the versatility of this method allows, not only to update the results according to the available information on hazards magnitude and beach geomorphology, but also to easily apply it to other coastal zones.
Los temporales pueden causar daños importantes en la costa, tanto a nivel económico como ambiental. En consecuencia, durante los últimos años se ha destacado la importancia de incluir estimaciones de la magnitud de los procesos y de la vulnerabilidad en las políticas costeras, de forma que los gestores puedan tomar decisiones informadas para aplicar planes de mitigación y/o adaptación. El principal objetivo de esta tesis es desarrollar una metodología que permita evaluar, cuantitativamente, la vulnerabilidad de la costa al impacto de temporales para diferentes escalas de tiempo, considerando por separado los principales procesos implicados (inundación y erosión). En este trabajo, la vulnerabilidad se define como el potencial de un sistema costero a ser dañado, por lo que se ha cuantificado comparando la magnitud de los procesos con la capacidad de adaptación de la costa. La metodología propuesta se basa en una aproximación probabilística en la que las series temporales de intensidad de los procesos se ajustan a una distribución de valores extremos. En consecuencia, tanto la magnitud de los procesos como la vulnerabilidad se asocian a una probabilidad de ocurrencia en vez de a un evento determinado. El gestor debe decidir la probabilidad de ocurrencia a tener en cuenta en el análisis, la cual determinará el periodo de retorno (Tr). Una vez seleccionado el periodo de retorno, se crean indicadores de vulnerabilidad que comparan la magnitud del proceso con la capacidad de respuesta de la playa de forma independiente para erosión e inundación. La vulnerabilidad final se formula en términos de estas dos variables intermedias por medio de una función lineal que va desde un valor mínimo de 0 (estado óptimo) a un máximo de 1 (estado de fallida), definiendo 5 categorías cualitativas. En este caso, estos umbrales se han definido considerando la función de protección de la playa. Para evaluar las variaciones temporales de la vulnerabilidad, se han analizado los cambios en la capacidad de adaptación de la costa frente al impacto de temporales inducidos por los efectos de otros procesos costeros. Considerando las características de la zona de estudio, la erosión debida a los gradientes en el transporte longitudinal de sedimentos (LST) y la erosión y e inundación causadas por la subida relativa del nivel del mar (RSLR) han sido seleccionados como los principales procesos que actúan a medio y largo plazo respectivamente. La erosión/acreción debida al LST se ha determinado mediante tasas de evolución costera, mientras que para caracterizar la erosión e inundación debidas a la RSLR se ha utilizado una combinación de distintos escenarios de nivel del mar y subsidencia. La metodología se ha aplicado a la mayor parte de la costa sedimentaria (219 km) de Cataluña (Mediterráneo noroeste). Los resultados obtenidos para un Tr= 50 años muestran porcentajes similares de costa sujeta a alta o muy alta vulnerabilidad a los dos procesos. Sin embargo, el incremento de vulnerabilidad debido a la contribución del LST y la RSLR es ligeramente mayor en el caso de la erosión. En general, los cambios inducidos por la RSLR son menores que los obtenidos considerando solo el LST. La contribución de la RSLR se detecta a escalas de tiempo mayores y es mayor en la parte sur de la costa catalana. Esto se debe a la presencia de playas disipativas con pendientes muy suaves y a la potencialmente significativa subsidencia del delta del Ebro. La contribución del LST no parece afectar a ningún tipo concreto de playa. Finalmente, este método permite identificar los puntos más vulnerables de la costa considerando la respuesta dinámica del sistema a lo largo del tiempo. Esta información es relevante para los gestores en cuanto a la organización de los recursos disponibles. Además, su versatilidad permite tanto actualizar los resultados en función de la información disponible sobre los procesos y la geomorfología costera, como aplicarlo fácilmente a otras regiones.
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Moura, Marisa Ribeiro. "Coastal dynamics and vulnerability to the coastal erosion of the cities Caucaia and Aquiraz, CearÃ." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8712.

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FundaÃÃo Cearense de Apoio ao Desenvolvimento Cientifico e TecnolÃgico
The coastal plains are one of the most fragile ecosystems known, however, have the highest rate of use, occupation, urbanization and population density in the world. This fact demonstrates the need to require specific studies in this area so that your planning is done sustainably. Thus, the present thesis held in the coastal municipalities of Caucaia and Aquiraz, CearÃ, located in the metropolitan region of Fortaleza, aimed to analyze the socio-environmental dynamics of the coastal zone, assessing the levels of vulnerability to erosion of the site. The methodology was performed by monitoring the 12 points marked, in which they were made, field work with the realization of profiles transverse, measurements of height, period and direction of waves and sediment samples collected in the beach zone, dunes and frontal dunes to back morphoscopy and analysis granulometric, and survey data such as winds, rainfall, currents, temperature and tidal fluctuations. According to the results given that the coastal area studied had almost entirely, urbanization and occupation by tourist activities, and this in some specific environments have lower intensity due to unattractive and/or speculation has yet to be inserted so active on the beach. The evolution of the urban city of Caucaia occurred more intensely compared to the occupation of Aquiraz, even the latter has a history older than the first city, a fact proven by the characteristics social and economic. In the oceanographic aspects there was tidal amplitudes monthly maximum 3.1 minimum 2,3 m. In Caucaia the wave height ranged from 0,60 m to 2,10 m Aquiraz a variation of 1,5 m and 0,50 m wave predominance of type sea. The morphoscopy identified in dune environments and beach sediments matte and shiny, which demonstrate the existence of interaction between environments underwater and wind transport. As the modal states, the coast of Caucaia characterized by beaches with a tendency to intermediate stages, resulting in certain periods of the year in the reflective beach stages in Iparana and dissipative stages in Pacheco and IcaraÃ. Already in Aquiraz modal stages were also characterized by beaches tend to intermediate stages, only in getting internships reflective stages in Iguape. It was confirmed the retreat of the shoreline around the coastline studied based on the program DSAS 4.2, with rates ranging from -4,10 m/year to 0,35 m/year in Caucaia and -1,4 m/year to -0,25 m/year in Aquiraz. In view of the foregoing it was found that the coast of Caucaia showed average to high vulnerability to erosion taking place as a major problem in the forms of use and occupancy of interaction between environments of the coastal zone, while in Aquiraz was low to high along its entire length, with the most problematic areas of real estate speculation should be preserved. These implications may clarify why the erosion processes are more intense in coastal Caucaia in relation to coastal Aquiraz, mainly because of the position of the coastline, that is, how the elements studied oceanographic reached the coast, in the case, in coastal Caucaia these are much more intenseIt is concluded that, in comparative diagnosis of the two cities through the methodologies, the erosion indicators, the categories and morphodynamics that, the vulnerability to coastal together with conditions receding coast line and reduced sediment supply, is related mainly with the evolution of the occupation, the use and the forms of dynamic coastal area.
As planÃcies litorÃneas sÃo um dos ecossistemas mais frÃgeis conhecidos, que, no entanto, apresentam o maior Ãndice de uso, ocupaÃÃo, urbanizaÃÃo e densidade demogrÃfica em todo o mundo. Tal fato demonstra a necessidade dessa Ãrea requerer estudos especÃficos para que seu ordenamento seja feito de forma sustentÃvel. Dessa forma, a presente tese, realizada no litoral dos municÃpios de Caucaia e Aquiraz, CearÃ, localizados na regiÃo metropolitana de Fortaleza, teve como objetivo analisar a dinÃmica socioambiental da zona costeira, avaliando os Ãndices de vulnerabilidade à erosÃo do local. A metodologia foi realizada por meio do monitoramento de 12 pontos demarcados, nos quais foram feitos, trabalhos de campo com a realizaÃÃo de perfis transversais, mediÃÃes da altura, perÃodo e direÃÃo das ondas e coletas de amostras de sedimentos na faixa praial e campos de dunas mÃveis e frontais para posterior anÃlise granulomÃtrica e morfoscopia e levantamentos de dados como ventos, pluviometria, correntes, temperatura e oscilaÃÃes das marÃs. Nos resultados obtidos conferiu-se que, a zona costeira estudada apresentou em quase sua totalidade, ocupaÃÃo por urbanizaÃÃo e atividades turÃsticas, tendo esta em alguns pontos especÃficos menor intensidade devido possuir ambientes sem atrativos e/ou a especulaÃÃo imobiliÃria ainda nÃo ter se inserido de forma na praia. A evoluÃÃo urbana do municÃpio de Caucaia se deu de forma mais intensa se comparada à ocupaÃÃo de Aquiraz, mesmo esta Ãltima tendo um histÃrico mais antigo que a do primeiro municÃpio, fato comprovado pelas caracterÃsticas sociais e econÃmicas locais. Nos aspectos oceanogrÃficos verificou-se amplitudes de marÃs mensais com mÃximas de 3,1 m e mÃnimas de 2,3 m. Em Caucaia a altura da onda variou de 0,60 m a 2,10 m e em Aquiraz apresentou variaÃÃo de 1,5 m e 0,50 m e predominÃncia de ondas do tipo sea. A morfoscopia identificou nos ambientes dunares e praiais sedimentos foscos e brilhosos, o que constata a existÃncia da interaÃÃo entre ambientes de transportes eÃlicos e subaquÃticos. Conforme os estados modais, o litoral de Caucaia caracterizou-se com praias de tendÃncia a estÃgios intermediÃrios, obtendo em certos perÃodos do ano estÃgios reflexivos na praia de Iparana e estÃgios dissipativos nas praias de Pacheco e IcaraÃ. Jà em Aquiraz os estÃgios modais tambÃm caracterizaram-se por praias de tendÃncia a estÃgios intermediÃrios, obtendo estÃgios reflexivos apenas na praia do Iguape. Confirmou-se o recuo da linha de costa em todo o litoral analisado, com base no programa DSAS 4.2, com taxas entre -4,10 m/ano a 0,35 m/ano em Caucaia e de -1,4 a -0,25 em Aquiraz. Diante do que foi exposto constatou-se que o litoral de Caucaia apresentou vulnerabilidade mÃdia à alta à erosÃo tendo como problema maior no local as formas de uso e ocupaÃÃo dos ambientes de interaÃÃo entre a zona costeira, enquanto que em Aquiraz foi de baixa à alta em toda sua extensÃo, tendo como problemÃtica maior a especulaÃÃo imobiliÃria de Ãreas que deveriam ser preservadas. Tais implicaÃÃes podem esclarecer o porquà dos processos erosivos serem mais intensos no litoral de Caucaia em relaÃÃo ao litoral de Aquiraz, principalmente por causa da posiÃÃo da linha de costa, isto Ã, da forma como os elementos oceanogrÃficos chegam à costa estudada, no caso, no litoral de Caucaia estes sÃo bem mais intensos. Conclui-se que, no diagnÃstico comparativo dos dois municÃpios por meio das metodologias, dos indicadores erosivos e das categorizaÃÃes morfodinÃmicas que a vulnerabilidade costeira, em conjunto com as condiÃÃes de recuo da linha costa e a diminuiÃÃo do suprimento sedimentar, està relacionada, sobretudo, com a evoluÃÃo da ocupaÃÃo, das formas de uso e da dinÃmica costeira da Ãrea.
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Ozyurt, Gulizar. "Vulnerability Of Coastal Areas To Sea Level Rise: A Case Study On Goksu Delta." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608146/index.pdf.

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Climate change and anticipated impacts of sea level rise such as increased coastal erosion, inundation, flooding due to storm surges and salt water intrusion to freshwater resources will affect all the countries but mostly small island countries of oceans and low-lying lands along coastlines. Turkey having 8333 km of coastline including physically, ecologically and socio-economically important low-lying deltas should also prepare for the impacts of sea level rise as well as other impacts of climate change while participating in mitigation efforts. Thus, a coastal vulnerability assessment of Turkey to sea level rise is needed both as a part of coastal zone management policies for sustainable development and as a guideline for resource allocation for preparation of adaptation options for upcoming problems due to sea level rise. In this study, a coastal vulnerability matrix and a corresponding coastal vulnerability index &ndash
CVI (SLR) of a region to sea level rise using indicators of impacts of sea level rise which use commonly available data are developed. The results of the matrix and the index enable decision makers to compare and rank different regions according to their vulnerabilities to sea level rise, to prioritize impacts of sea level rise on the region according to the vulnerability of the region to each impact and to determine the most vulnerable parameters for planning of adaptation measures to sea level rise. The developed coastal vulnerability assessment model is used to determine the vulnerability of Gö
ksu Delta (Specially Protected Area), Mersin that has unique geological, ecological and socio-economical properties which are protected and recognized by both national and international communities.
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Lickley, Megan Jeramaz. "The vulnerability of U.S. coastal energy infrastructure under climate change." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78496.

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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 75-77).
The 2005 hurricane season was particularly damaging to the United States, contributing to significant losses to energy infrastructure -much of it a result of flooding from storm surges during hurricanes Katrina and Rita. Previous research suggests that these events are not isolated, but rather foreshadow a risk that is to continue and likely increase with a changing climate (17). Since extensive energy infrastructure exists along the U.S. Atlantic and Gulf coasts, these facilities are exposed to an increasing risk of flooding. We study the combined impacts of anticipated sea level rise, hurricane activity, and subsidence on energy infrastructure in these regions with a first application to Galveston Bay. Using future climate conditions as projected by four different Global Circulation Models (GCMs), we model the change in hurricane activity from present day climate conditions in response to a climate projected in 2100 under the IPCC A l B emissions scenario using hurricane analysis developed by Emanuel (5). We apply the results from hurricane runs from each model to the SLOSH model (Sea, Lake and Overland Surges from Hurricanes) (19) to investigate the change in frequency and distribution of surge heights across climates. Further, we incorporate uncertainty surrounding the magnitude of sea level rise and subsidence, resulting in more detailed projections of risk levels for energy infrastructure over the next century. With a detailed understanding of energy facilities' changing risk exposure, we conclude with a dynamic programming cost-benefit analysis to optimize decision making over time as it pertains to adaptation.
by Megan Jeramaz Lickley.
S.M.in Technology and Policy
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Kelman, Ilan. "Physical flood vulnerability of residential properties in coastal, eastern England." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.619656.

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Books on the topic "Coastal vulnerability"

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McFadden, Loraine. Coastal hazards and vulnerability. London: Earthscan, 2010.

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International Workshop on Deltas: Coastal Vulnerability and Management (2009 Anna University). Deltas: Coastal vulnerability and management. Edited by Ramesh R. (Ramachandran) and Anna University. Institute for Ocean Management. Chennai: Environmental Information System (ENVIS), 2009.

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Modelling coastal vulnerability: Design and evaluation of a vulnerability model for tropical storms and floods. Amsterdam: IOS Press, 2009.

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Monaco, André, and Patrick Prouzet, eds. Vulnerability of Coastal Ecosystems and Adaptation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119007739.

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Sundaresan, J., S. Sreekesh, AL Ramanathan, L. Sonnenschein, and R. Boojh, eds. Climate Change and Island and Coastal Vulnerability. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6016-5.

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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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J, Crawford Martha, and South Pacific Regional Environment Programme., eds. Vulnerability assessment to accelerated sea level rise: Case study, Majuro Atoll : executive summary. [Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, 1992.

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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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Moser, Susanne C., and John Tribbia. Vulnerability to coastal impacts of climate change : coastal managers' attitudes, knowledge, perceptions, and actions: PIER project report. [Sacramento, Calif.]: California Energy Commissionm, 2007.

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Das, Saudamini. Addressing coastal vulnerability at the village level: The role of socio-economic and physical factors. Delhi: Institute of Economic Growth, 2009.

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Book chapters on the topic "Coastal vulnerability"

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Abuodha, Pamela A., and Colin D. Woodroffe. "12 Vulnerability assessment." In Coastal zone management, 262–90. London: Thomas Telford Ltd, 2010. http://dx.doi.org/10.1680/czm.35164.0012.

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Schellmann, Gerhard, Helmut Brückner, Mike P. Stewart, Shawn M. Boeser, Dieter H. Kelletat, James R. Houston, Ram K. Mohan, et al. "Global Vulnerability Analysis." In Encyclopedia of Coastal Science, 486–91. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3880-1_155.

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Füssel, Hans-Martin. "Vulnerability of Coastal Populations." In Climate Change, Justice and Sustainability, 45–57. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4540-7_5.

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Haq, Bilal U., and John D. Milliman. "Coastal Vulnerability: Hazards and Strategies." In Coastal Systems and Continental Margins, 357–64. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8719-8_20.

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Kearney, Michael S. "Coastal Risk Versus Vulnerability in an Uncertain Sea Level Future." In Coastal Hazards, 101–15. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5234-4_4.

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Bonetti, Jarbas, and Colin Woodroffe. "Spatial Analysis for Coastal Vulnerability Assessment." In GEOINFORMATICS for Marine and Coastal Management, 367–96. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315181523-17.

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Heimann, Thorsten. "Vulnerability constructions in European coastal areas." In Culture, Space and Climate Change, 195–214. Abingdon, Oxon ; New York, NY : Routledge, 2019. | Series: Routledge advances in climate change research: Routledge, 2018. http://dx.doi.org/10.4324/9780429436659-9.

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Hershner, Carlton H., Grant Ballard, Donald R. Cahoon, Robert Diaz, Tom Doyle, Neil K. Ganju, Glenn Guntenspergen, et al. "Vulnerability and Impacts on Natural Resources." In Coastal Impacts, Adaptation, and Vulnerabilities, 52–65. Washington, DC: Island Press/Center for Resource Economics, 2012. http://dx.doi.org/10.5822/978-1-61091-460-4_3.

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MacDonald, Tony, Austin Becker, Doug Bellomo, Virginia Burkett, Janet Cikir, Susan L. Cutter, Kirsten Dow, et al. "Vulnerability and Impacts on Human Development." In Coastal Impacts, Adaptation, and Vulnerabilities, 66–97. Washington, DC: Island Press/Center for Resource Economics, 2012. http://dx.doi.org/10.5822/978-1-61091-460-4_4.

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Monfort, Patrick, Serge Morand, and Murielle Lafaye. "Microbiological Coastal Risks and Monitoring Systems." In Vulnerability of Coastal Ecosystems and Adaptation, 95–129. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119007739.ch3.

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Conference papers on the topic "Coastal vulnerability"

1

Shtremel, Margarita, and Margarita Shtremel. "NEW APPROACH TO COASTAL ZONE VULNERABILITY CLASSIFICATION." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b938065a8b6.99677482.

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Shtremel, Margarita, and Margarita Shtremel. "NEW APPROACH TO COASTAL ZONE VULNERABILITY CLASSIFICATION." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b431562e3c1.

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Lanter, D. P., S. Durden, C. Baker, and C. M. Dunning. "Social Vulnerability eXplorer (SV-X)." In Coastal Structures and Solutions to Coastal Disasters Joint Conference 2015. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480304.033.

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Mendoza, E. Tonatiuh, Elena Ojeda, Klaus J. Meyer-Arendt, Paulo Salles, and Christian M. Appendini. "Assessing Coastal Vulnerability in Yucatan (Mexico)." In 8th International Coastal Management Conference. ICE Publishing, 2016. http://dx.doi.org/10.1680/cm.61149.607.

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Corcoran, Nathan W., William B. Ouimet, and Margaret A. Thomas. "ASSESSING COASTAL EROSION HAZARD VULNERABILITY IN CONNECTICUT." In 51st Annual Northeastern GSA Section Meeting. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016ne-272078.

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Sandhyavitri, Ari, Ferry Fatnanta, and Rizki Ramadhan Husaini. "Identification and prioritization of coastal vulnerability areas based on coastal vulnerability indexes (CVI) and analytical hierarchy process (AHP)." In INTERNATIONAL CONFERENCE ON EMERGING APPLICATIONS IN MATERIAL SCIENCE AND TECHNOLOGY: ICEAMST 2020. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0005007.

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CHIEN, LIEN-KWEI, CHI-WEN HUANG, WEI-PO HUANG, and CHENG-YU KU. "RISK ASSESSMENT OF NEARSHORE HAZARD AND VULNERABILITY USING THE ENTROPY METHOD." In COASTAL CITIES 2019. Southampton UK: WIT Press, 2019. http://dx.doi.org/10.2495/cc190051.

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Farreras, Salvador, and Modesto Ortiz. "Tsunami Risk and Vulnerability Assessment for Industrial Ports of Mexico." In Coastal Disasters Conference 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40605(258)75.

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Kana, Timothy W., and Ram Krishna Mohan. "Profile Volumes as a Measure of Erosion Vulnerability." In 25th International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1997. http://dx.doi.org/10.1061/9780784402429.211.

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Wood, Nathan, James Good, and Robert Goodwin. "Reducing Vulnerability of Ports and Harbors to Earthquake and Tsunami Hazards." In Coastal Disasters Conference 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40605(258)81.

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Reports on the topic "Coastal vulnerability"

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VanZomeren, Christine, and Damarys Acevedo-Mackey. A review of coastal vulnerability assessments : definitions, components, and variables. Engineer Research and Development Center (U.S.), July 2019. http://dx.doi.org/10.21079/11681/33289.

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Lahr, Joost, Judith Klostermann, and Rob Smidt. Vulnerability of coastal species in Svalbard to selected stressors : sustainable Arctic Resource Management. Wageningen: Wageningen Environmental Research, 2019. http://dx.doi.org/10.18174/497750.

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Peek, Katie, Blair Tormey, Holli Thompson, and Robert Young. Coastal hazards & sea-level rise asset vulnerability assessment protocol: Updated project description & methodology. National Park Service, July 2022. http://dx.doi.org/10.36967/2293653.

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4

Adelekan, Ibidun, Anton Cartwright, Winston Chow, Sarah Colenbrander, Richard Dawson, Matthias Garschagen, Marjolijn Haasnoot, et al. Climate Change in Cities and Urban Areas: Impacts, Adaptation and Vulnerability. Indian Institute for Human Settlements, 2022. http://dx.doi.org/10.24943/supsv209.2022.

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The second volume in the Summary for Urban Policymakers (SUP) series, Climate Change in Cities and Urban Areas: Impacts, Adaptation and Vulnerability, offers a concise and accessible distillation of the IPCC Working Group II Report. Cities are places of high risks from climate change, resulting from the interaction of climate change hazards, the exposure of infrastructure, people and ecosystems, the vulnerability of exposed elements and communities, and the negative or unintended effects of responses to climate change to people and ecosystems. This report assesses the feasibility and effectiveness of different adaptation options but highlights that adaptation has limits and can even lead to maladaptation, triggering unintended effects which increase risk, emissions and lock-ins. It synthesises the latest evidence on the necessary urban-led transformation, as well as evidence on operationalizing the five simultaneous system transitions across land, coastal, ocean and freshwater ecosystems; cities, regions, and infrastructure; energy and industrial systems, accelerated by societal choices. Cities and urban areas have a critical role to play in the climate resilient development needed to meet goals of climate change, human wellbeing, and ecosystem health challenges.
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Brodie, Katherine, Ian Conery, Nicholas Cohn, Nicholas Spore, and Margaret Palmsten. Spatial variability of coastal foredune evolution, part A : timescales of months to years. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41322.

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Coastal foredunes are topographically high features that can reduce vulnerability to storm-related flooding hazards. While the dominant aeolian, hydrodynamic, and ecological processes leading to dune growth and erosion are fairly well-understood, predictive capabilities of spatial variations in dune evolution on management and engineering timescales (days to years) remain relatively poor. In this work, monthly high-resolution terrestrial lidar scans were used to quantify topographic and vegetation changes over a 2.5 year period along a micro-tidal intermediate beach and dune. Three-dimensional topographic changes to the coastal landscape were used to investigate the relative importance of environmental, ecological, and morphological factors in controlling spatial and temporal variability in foredune growth patterns at two 50 m alongshore stretches of coast. Despite being separated by only 700 m in the alongshore, the two sites evolved differently over the study period. The northern dune retreated landward and lost volume, whereas the southern dune prograded and vertically accreted. The largest differences in dune response between the two sections of dunes occurred during the fall storm season, when each of the systems’ geomorphic and ecological properties modulated dune growth patterns. These findings highlight the complex eco-morphodynamic feedback controlling dune dynamics across a range of spatial scales.
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Kinsman, N. E. M., and A. I. Gould. Coastal vulnerability mapping in Alaska: strategies for small populations in data-sparse regions (poster): Ocean Sciences Meeting, Honolulu, Hawaii, February 23-28, 2014. Alaska Division of Geological & Geophysical Surveys, February 2014. http://dx.doi.org/10.14509/27202.

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Sims, Kate. Education, Girls’ Education and Climate Change. Institute of Development Studies, March 2021. http://dx.doi.org/10.19088/k4d.2021.044.

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This Emerging Issue Report (EIR) explores research and evidence on the relationship between education, girls’ education and climate change. There is scientific consensus that climate change is real, manifested through increasing temperatures, changing rainfall patterns and increasing frequency and severity of extreme weather events, including drought, flooding and cyclones. Climate change, environmental degradation and climate vulnerability are closely linked. Climate change exacerbates environmental and land degradation, especially in areas with drylands and permafrost, river deltas and low-lying coastal areas. There is high confidence that people living in areas affected by environmental degradation are experiencing an increase in the negative effects of climate change. Gender, alongside other drivers of vulnerability and exclusion, is a key determinant of an individual’s vulnerability to the effects of climate change and environmental degradation and influences how climate change is experienced. It is estimated that at least 200 million adolescent girls living in the poorest communities face a heightened risk from the effects of climate change. Evidence and commentary on the role of education, and girls’ education, to address climate change through adaptation, resilience and mitigation is limited, albeit growing. This EIR identifies and summarises the evidence and key commentary around the following themes: links between education, particularly girls’ education, and climate change; how climate and environment matter for achieving gender equality; and why securing girls’ education is an important strategy in addressing climate change. The EIR draws on academic research and literature from low- and middle-income countries (LMICs), as well as policy frameworks and grey literature, media articles and blogs from the climate, education and gender fields.
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Solaun, Kepa, Chiquita Resomardono, Katharina Hess, Helena Antich, Gerard Alleng, and Adrián Flores. State of the Climate Report: Suriname: Summary for Policy Makers. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003415.

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Several factors contribute to Surinames particular vulnerability to the effects of climate change. It is dependent on fossil fuels, has forests liable to decay, fragile ecosystems, and its low-lying coastal area accounts for 87% of the population and most of the countrys economic activity. Many sectors are at risk of suffering losses and damage caused by gradual changes and extreme events related to climate change. For Suriname to develop sustainably, it should incorporate climate change and its effects into its decision-making process based on scientific- evidence. The State of the Climate Report analyzes Surinames historical climate (1990-2014) and provides climate projections for three time horizons (2020-2044, 2045-2069, 2070-2094) through two emissions scenarios (intermediate/ SSP2-4.5 and severe/ SSP5-8.5). The analysis focuses on changes in sea level, temperature, precipitation, relative humidity, and winds for the seven subnational locations of Paramaribo, Albina, Bigi Pan MUMA, Brokopondo, Kwamalasamutu, Tafelberg Natural Reserve, and Upper Tapanahony. The Report also analyzes climate risk for the countrys ten districts by examining the factors which increase their exposure and vulnerability on the four most important sectors affected by climate change: infrastructure, agriculture, water, and forestry, as well as examining the effects across the sectors. The State of the Climate provides essential inputs for Suriname to develop and update its climate change policies and targets. These policies and targets should serve as enablers for an adequate mainstreaming of climate change adaptation and resilience enhancement into day-to-day government operations.
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Solaun, Kepa, Gerard Alleng, Adrián Flores, Chiquita Resomardono, Katharina Hess, and Helena Antich. State of the Climate Report: Suriname. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003398.

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Suriname is highly vulnerable to the effects of climate change. Among the factors that exacerbate its vulnerability are its dependency on fossil fuels, the degradation of important ecosystems (e.g., mangroves), and the fact that 87% of the population, and most of the countrys economic activity is located within the low-lying coastal area. Many sectors are at risk of suffering losses and damage caused by gradual changes and extreme events related to climate change. For Suriname to develop sustainably, it should incorporate climate change and its effects into its decision-making process based on scientific- evidence. The State of the Climate Report analyzes Surinames historical climate (1990-2014) and provides climate projections for three time horizons (2020-2044, 2045-2069, 2070-2094) through two emissions scenarios (intermediate/ SSP2-4.5 and severe/ SSP5-8.5). The analysis focuses on changes in sea level, temperature, precipitation, relative humidity, and winds for the seven subnational locations of Paramaribo, Albina, Bigi Pan MUMA, Brokopondo, Kwamalasamutu, Tafelberg Natural Reserve, and Upper Tapanahony. The Report also analyzes climate risk for the countrys ten districts by examining the factors which increase their exposure and vulnerability on the four most important sectors affected by climate change: infrastructure, agriculture, water, and forestry, as well as examining the effects across the sectors. The State of the Climate Report provides essential inputs for Suriname to develop and update its climate change policies and targets. These policies and targets should enable an adequate mainstreaming of climate change adaptation and resilience enhancementinto day-to-day government operations. It is expected that the Report will catalyze similar efforts in the future to improve decision-making by providing science-based evidence.
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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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