Relevant bibliographies by topics / Coastal storms

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Coastal storms'

Author: Grafiati
Published: 23 November 2024

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Journal articles on the topic "Coastal storms"

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Walker, Rob A., and David R. Basco. "APPLICATION OF COASTAL STORM IMPULSE (COSI) PARAMETER TO PREDICT COASTAL EROSION." Coastal Engineering Proceedings 1, no. 32 (February 2, 2011): 23. http://dx.doi.org/10.9753/icce.v32.management.23.

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A new coastal storm-strength parameter, the Coastal Storm Impulse (COSI) parameter, was introduced at the ICCE 2006 (San Diego) and further discussed at the ICCE 2008 (Hamburg). COSI is based on the conservation of linear, horizontal momentum to combine storm surge, wave dynamics, and currents over the storm duration. Both tropical storms (hurricanes) and extra-tropical storms (northeasters) can produce similar COSI parameters that range from 0.69*10^6 N-m/hr to 49.72*10^6 n-m/hr with lognormal distribution. Potential implications of such a storm classification system include the evaluation of coastal structures and coastal infrastructure, as well as providing a universal storm strength indicator that is directly tied to coastal physical parameters and not limited to wind speed. This paper explores the application of COSI to predict coastal erosion along the sub-aerial ocean beach in Duck, North Carolina on the east coast of the United States. Data for the 10-year study period (1994 to 2003) has been analyzed to produce 249 storms for study of coastal erosion. When profile response to coastal storms was assessed through a pre- and post-storm volumetric determination, mixed results showing both erosion and accretion were observed. The paper also explores the possible explanations and implications of these findings.
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Burvingt, Olivier, and Bruno Castelle. "COASTAL DUNES CHANGES ALONG THE WESTERN COAST OF EUROPE." Coastal Engineering Proceedings, no. 37 (September 1, 2023): 28. http://dx.doi.org/10.9753/icce.v37.sediment.28.

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Coastal dunes are natural barriers buffering storm waves, protecting coastal communities from flooding and rising sea level, and providing a valuable source of biodiversity for the surrounding environment. Significant dune erosion caused by storm waves and high water levels generally takes place over hours or days, while post-storm recovery can take years or decades (Houser et al., 2015). Although coastal dunes have received quite a lot of attention over the last decades, knowledge gaps remain, and our understanding and predicting capacity of long-term (years to decades) coastal dune evolution remain limited. The large diversity of coastal dunes along the Atlantic coast of Europe and the sequence of extreme storms observed during the 2013/14 winter, considered as the most energetic storms since at least 1948 (Masselink, 2016), represent a unique opportunity to study the spectrum of coastal dune response and recovery from an extreme winter.
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Ribera, P., D. Gallego, C. Pena-Ortiz, L. Del Rio, T. A. Plomaritis, and J. Benavente. "Reconstruction of Atlantic historical winter coastal storms in the Spanish coasts of the Gulf of Cadiz, 1929–2005." Natural Hazards and Earth System Sciences 11, no. 6 (June 17, 2011): 1715–22. http://dx.doi.org/10.5194/nhess-11-1715-2011.

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Abstract. This paper presents the reconstruction of a climatological series of winter coastal storms on the northern coasts of the Gulf of Cadiz. This series has been put together using information extracted from regional and local Spanish newspapers. It includes all the storms coming from the Atlantic sector that have been detected during the winter season, from October to March, between 1929 and 2005. In order to validate this historical storm series, it has been compared with storms series identified from quasi-observational data and using different wave heights as thresholds to decide what is to be considered as a coastal storm. Nearly 2.6 reports per year about coastal storms are published in the press which correspond to waves of 3.6 m high or more and to prevailing winds from a direction ranging between SSW and WNW. A long- term positive trend has been detected for the complete storm series. If only the instrumental period is analysed, no significant trend is detected. It is suggested that this difference might be associated with the impact of the North Atlantic Oscillation over the occurrence of storms in this area.
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Basco, David R., and Nader Mahmoudpour. "THE MODIFIED COASTAL STORM IMPULSE (COSI) PARAMETER AND QUANTIFICATION OF FRAGILITY CURVES FOR COASTAL DESIGN." Coastal Engineering Proceedings 1, no. 33 (December 15, 2012): 66. http://dx.doi.org/10.9753/icce.v33.management.66.

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A coastal storm-strength parameter, the Coastal Storm Impulse (COSI) parameter was introduced at the ICCE 2006 (San Diego) and further discussed in the ICCE 2008 (Hamburg) and ICCE 2010 (Shanghai) proceedings. COSI is based on the conservation of linear, horizontal momentum to combine storm surge, wave dynamics, and currents over the storm duration. Both tropical storms (hurricanes) and extra-tropical storms (low-pressure fronts) can produce similar COSI parameters. Analysis of coastal storms over a 10 year period (1994-2003) of measured data at the Corps of Engineers, Field Research Facility (FRF), Duck, NC showed the need to modify the original method to (1) use the mean, nonlinear wave momentum flux, and (2) use only the spikes in storm surge when elevated water levels are above the mean high water level of the tide. This paper presents the full details of how to calculate the modified COSI parameter; the modified results for the 10-yr Duck data set and suggest possible applications to develop fragility curves for coastal engineering design. Clearly, fragility curves are needed to quantify risk and hence resilience in coastal systems design. The intensity of the “load” or “disturbance”, i.e. the severity of the coastal storm must be quantified to develop fragility curves. Excess water levels (storm surge), wave conditions (height, period, direction) and storm duration all contribute to the intensity of a coastal storm. How to combine these three factors has long been a concern of coastal scientists and engineers.
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Salmun, H., A. Molod, F. S. Buonaiuto, K. Wisniewska, and K. C. Clarke. "East Coast Cool-Weather Storms in the New York Metropolitan Region." Journal of Applied Meteorology and Climatology 48, no. 11 (November 1, 2009): 2320–30. http://dx.doi.org/10.1175/2009jamc2183.1.

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Abstract New York coastal regions are frequently exposed to winter extratropical storm systems that exhibit a wide range of local impacts. Studies of these systems either have used localized water-level or beach erosion data to identify and characterize the storms or have used meteorological conditions from reanalysis data to provide a general regional “climatology” of storms. The use of meteorological conditions to identify these storms allows an independent assessment of impacts on the coastal environment and therefore can be used to predict the impacts. However, the intensity of these storms can exhibit substantial spatial variability that may not be captured by the relatively large scales of the studies using reanalysis data, and this fact may affect the localized assessment of storm impact on the coastal communities. A method that uses data from National Data Buoy Center stations in the New York metropolitan area to identify East Coast cool-weather storms (ECCSs) and to describe their climatological characteristics is presented. An assessment of the presence of storm conditions and a three-level intensity scale was developed using surface pressure data as measured at the buoys. This study identified ECCSs during the period from 1977 through 2007 and developed storm climatologies for each level of storm intensity. General agreement with established climatologies demonstrated the robustness of the method. The impact of the storms on the coastal environment was assessed by computing “storm average” values of storm-surge data and by examining beach erosion along the south shore of Long Island, New York. A regression analysis demonstrated that the best storm-surge predictor is based on measurements of significant wave height at a nearby buoy.
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Yang, Kun, Vladimir Paramygin, and Y. Peter Sheng. "An objective and efficient method for estimating probabilistic coastal inundation hazards." Natural Hazards 99, no. 2 (October 4, 2019): 1105–30. http://dx.doi.org/10.1007/s11069-019-03807-w.

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Abstract The joint probability method (JPM) is the traditional way to determine the base flood elevation due to storm surge, and it usually requires simulation of storm surge response from tens of thousands of synthetic storms. The simulated storm surge is combined with probabilistic storm rates to create flood maps with various return periods. However, the map production requires enormous computational cost if state-of-the-art hydrodynamic models with high-resolution numerical grids are used; hence, optimal sampling (JPM-OS) with a small number of (~ 100–200) optimal (representative) storms is preferred. This paper presents a significantly improved JPM-OS, where a small number of optimal storms are objectively selected, and simulated storm surge responses of tens of thousands of storms are accurately interpolated from those for the optimal storms using a highly efficient kriging surrogate model. This study focuses on Southwest Florida and considers ~ 150 optimal storms that are selected based on simulations using either the low fidelity (with low resolution and simple physics) SLOSH model or the high fidelity (with high resolution and comprehensive physics) CH3D model. Surge responses to the optimal storms are simulated using both SLOSH and CH3D, and the flood elevations are calculated using JPM-OS with highly efficient kriging interpolations. For verification, the probabilistic inundation maps are compared to those obtained by the traditional JPM and variations of JPM-OS that employ different interpolation schemes, and computed probabilistic water levels are compared to those calculated by historical storm methods. The inundation maps obtained with the JPM-OS differ less than 10% from those obtained with JPM for 20,625 storms, with only 4% of the computational time.
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Mendoza, E. T., J. A. Jimenez, and J. Mateo. "A coastal storms intensity scale for the Catalan sea (NW Mediterranean)." Natural Hazards and Earth System Sciences 11, no. 9 (September 15, 2011): 2453–62. http://dx.doi.org/10.5194/nhess-11-2453-2011.

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Abstract. A 5-class intensity scale for wave storms in the Catalan coast is presented. This has been done by analysing a storm data set which comprises 5 buoys during the period 1988/2008. The obtained classification improves the former proposal of Mendoza and Jiménez (2008) by better resolving spatial and temporal variability in wave storms in the area. The obtained classification reflects the increase in wave storm properties as the storm category increases. Because the selected classification parameter was the energy content which implicitly contains Hs and storm duration, this variable was used to define class limits; class I storms (24–250 m2 h), class II storms (251–500 m2 h), class III (501–700 m2 h), class IV storms (701–1200 m2 h) and class V storms (>1200 m2 h). The energy content variable was also used as proxy for induced hazards; the observed increase in energy content for higher classes reflected a significant increase in the intensity of the potential hazards. Lastly, the dominant synoptic situation for wave storms along the Catalan coast was the presence of a Mediterranean cyclone although a direct correspondence on cyclone's intensity over the western Mediterranean with wave energy content was not found.
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Loureiro, Carlos, and Andrew Cooper. "Temporal variability in winter wave conditions and storminess in the northwest of Ireland." Irish Geography 51, no. 2 (January 28, 2019): 155–70. http://dx.doi.org/10.55650/igj.2018.1369.

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Winter storms have significant morphological impacts in coastal areas, often leading to extensive infrastructure damage and socio-economic disruption. While storm-dominated coastal environments, such as the northwest coast of Ireland, are generally attuned to highly energetic wave conditions, morphological impacts can be intensified by changes in the frequency and sequencing of storm events, particularly during storm-groups or exceptional winter seasons. Aiming to assess the variability in frequency and sequencing of wintertime wave conditions and storms in the northwest of Ireland, we combine observational records (M4 buoy) with data from two independent wave reanalyses (ERA-Interim and WAVEWATCH III) and perform a statistical analysis of wave conditions over the past six decades. Both reanalyses represent observed wave heights with very good skill. Excellent agreement between modelled data and observations was identified up to the 99th percentile, despite a slight underestimation/overestimation by ERA-Interim/WAVEWATCH III for waves above the 90% exceedance level. The winter of 2014/15 was the most energetic on record (67 years), but not the stormiest. The results show that highly energetic and stormy winters occur in clusters during positive phases of the North Atlantic Oscillation. Significant positive temporal trends for winter wave height, number of storms per winter and average winter storm wave height, suggest that winters are becoming more energetic and stormier, with potential implications for the erosion and recovery of coastal systems in the northwest of Ireland.
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The, Nguyen Nguyen Ngoc The, Duong Cong Dien, and Tran Thanh Tung. "Research on wave set-up during storms along the coast of Cua Dai, Hoi An." Tạp chí Khoa học và Công nghệ biển 19, no. 3 (September 25, 2019): 337–47. http://dx.doi.org/10.15625/1859-3097/19/3/14058.

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The central coast of Vietnam is frequently prone to storms and floods. Aside from wind damages during storms, the effect of storm surges, which includes wave set-up, on the coast and coastal infrastructures is very severe. Therefore calculation and prediction of wave set-up and storm surges are significant, both scientifically and practically, to serve as scientific bases for sustainable coastal planning, development and protection. This paper presents the study results on nearshore wave propagation and transformation, as well as the distribution of wave set-up during storms in the coastal area of Cua Dai, Hoi An, using SWAN and SWASH models. The models are thoroughly tested against wave and water level data series collected during a campaign in the project framework. The simulation results show the overall picture of the nearshore wave field and the surge height induced by waves during a storm event along Cua Dai, Hoi An coast. The research output also indicates that wave set-up contributes an important part to the extreme water level of the local nearshore area during storms.
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Mead, R. N., K. M. Mullaugh, G. Brooks Avery, R. J. Kieber, J. D. Willey, and D. C. Podgorski. "Insights into dissolved organic matter complexity in rainwater from continental and coastal storms by ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry." Atmospheric Chemistry and Physics 13, no. 9 (May 14, 2013): 4829–38. http://dx.doi.org/10.5194/acp-13-4829-2013.

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Abstract. A series of seven rainwater samples were collected in Wilmington, North Carolina USA originating from both continental and coastal storms and analyzed by ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). This data set is unique in that it represents a detailed comparison of the molecular level composition of DOM in rainwater collected from distinctly different air mass back trajectories by FT-ICR MS. Approximately 25% of the roughly 2000 assigned CHO molecular formulas are unique to a single storm classification indicating the importance of air mass back trajectory on the composition of rainwater dissolved organic matter (DOM). Analysis of the unique molecular formula assignments highlighted distinct groupings of various bio- and geo-molecule classes with coastal storms containing unique formulas representative of lignin and cellulose-like formulas while continental storms had lipid-like formulas. A series of 18 distinct methylene oligomers were identified in coastal storms and 13 unique methylene oligomers in continental storms, suggesting oligomer formation is ubiquitous in rainwater albeit different for each storm classification. Oligomers of small acids and C3H4O2 were detected in both storm types indicating their processing may be similar in both back trajectories. Condensed aromatic hydrocarbons were detected in continental storms with phenol moieties that are not as oxidized as similar compounds detected in aquatic DOM.
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Dissertations / Theses on the topic "Coastal storms"

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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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Lin, Ye Jue. "Multivariate characterization of wave storms in coastal areas." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/619809.

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Wave-storms are the responsible of the main changes in the Coast. Their detailed characterization results in a better design of any marine structure. The most common approach to describe wave-storms is to simplify the event by taking the significant wave-height (Hp), peak period (Tp) and direction (0p) at the peak of the storm and treating these variables independently. However, it is well accepted that some relationship should exist between them. What is more, the development of sophisticated numerical models in Coastal Engineering are demanding additional variables such as the duration of the wave-storm (D), the amount of associated energy (E), temporary evolution of the variables and their relationship to atmospheric climate-indices, to better reproduce the simulated processes. The main objectives and results of this thesis are as follows. First, wave-storms in the present wave climate of the Catalan Coast are characterized, assuming stationarity. The wave-storm variables modelled are: the energy at the peak of the wave-storm (Eu ), Tp , E, D, 0p and the proportions of time from the start to the storm peak and from the storm peak to the end (growth-decay rates). E, Eu , Tp and D are fit by generalized Pareto distributions (GPD). Their joint probability structure is characterized by a hierarchical Archimedean copula (HAC). 0p is characterized through a mixture of von Mises-Fisher probability distribution functions and related to E, T p and D through a multinomial logistic model. The growth-decay rates are related to D through third degree polynomials. A triangle and an irregular-trapezoid are proposed to model the wave-storm shape. In the present climate of the Catalan Coast, the constructed statistical model can serve to generate synthetic wave-storms. The most predominant 0p are north and east. The most appropriate geometric figure to describe the evolution of the wave-height is a irregular-trapezoid. For D over 100h, the peak of the wave-storm is generally closer to the end of the wave-storm than to the start. After establishing a stationary model, non-stationarity is incorporated into the characterization of wave-storms in the Catalan Coast. E, Hp , T p and D are characterized through non-stationary GPDs. The wave-storm threshold, the wave-storminess and the parameters of the GPDs are related to North Atlantic Oscillation (NAO), East Atlantic pattern (EA) and Scandinavian pattern (SC) and their first two time-derivatives, through Vectorial generalized additive models. The joint probability structure is characterized by a pseudo-time-dependent HAC. A severe greenhouse gas emission scenario is considered. The mean values of all wave-storm variables decrease in the 21st century, except for D in the northern part of the coast. A negative NAO may cause an increase in wave-storminess; the wave-storm threshold and the GPD parameters are most influenced by the dynamics of the climate-patterns, rather than by the climate-patterns themselves. The non-stationary methodology is repeated in the northwestern Black Sea, considering both a mild and a severe emission scenarios. Here, wave-storminess is not affected by the proposed climate-patterns, whereas the wave-storm threshold is strongly influenced by SC and EA. The average value of the wave-storm variables seem to have a more positive trend than in the Catalan Coast, and it is observed that an increase in mean values is related to an increase in variance. SC and EA also strongly influence the parameters of the GPDs. In the two study areas, the dependence between E and D is high, while the general dependence among the wave-storm variables is medium. In the Catalan Coast, it is expected that the dependence between E and D should increase with time. In the northwestern Black Sea, it is the dependence among all the wave-storm variables that increases with time, in both emission scenarios; the severe emission scenario presents less dependence among wave-storm variables.
El enfoque más común para describir los temporales de mar es simplificar este suceso tomando la altura de ola significante (Hp), el periodo pico (Tp) y la dirección (0p) en el pico de la tormenta y tratándolas de forma independiente. Sin embargo, está ampliamente aceptado que exista al menos alguna relación entre ellas. Es más, el desarrollo de sofisticados modelos numéricos en la ingeniería de costas pide variables adicionales como la duración de tormenta (D), la cantidad de energía asociada (E), la evolución temporal de las variables y su relación con índices climáticos atmosféricos, todo para una mejor reproducción de los procesos simulados. Los objetivos y resultados principales de esta tesis son los siguientes: Primero, se caracteriza tormentas de mar en el clima de oleaje presente, de la costa catalana, suponiendo estacionalidad. Las variables modeladas son: la energía unitaria en el pico del temporal (Eu), Tp, E, D, 0p y la proporción de tiempo desde el inicio hasta el pico y desde el pico al final del temporal (ratios de crecimiento-decrecimiento). Se caracteriza E, E u, T p y D con distribuciones generalizadas de Pareto (GPD), y se caracteriza la estructura de probabilidades conjunta de estas variables vía una cópula jerárquica arquimedeana (HAC). Se caracteriza 0p con una combinación de distribución de probabilidad de von Mises-Fisher y se le relaciona con E, T p y D a través de un modelo logístico multinomial. Se propone una forma triangular o trapezoide-irregular para modelar la forma del temporal. En el clima presente de la costa catalana, el modelo estadístico construido puede generar temporales sintéticos. Las 0p principales son el norte y el este. La figura geométrica que mejor describe la evolución de la altura de ola es un trapezoide irregular. Para D mayor que 100h, el pico del temporal está generalmente más cerca del final que del principio. La media de cada variable decrece en el siglo XXI, excepto la de D, en el norte de la costa. Una NAO negativa puede causar una subida de la tormentosidad. Además, el umbral de tormenta y los parámetros de GPD están influenciados principalmente por la dinámica de los patrones climáticos, en vez de serlo por los propios patrones climáticos. Después de establecer un modelo estacionario, se incorpora la no estacionalidad a la caracterización de temporales de mar en la costa catalana. Se caracteriza E, Hp, Tp y D con GPDs no estacionarios. El umbral de temporal, la tormentosidad y los parámetros de los GPDs están relacionados con la Oscilación de Atlántico norte (NAO), el Patrón de Atántico oriental (EA) y el Patrón escandinavo (SC) y sus primeras dos derivadas temporales, a través de Modelos aditivos generalizados vectoriales. Se caracteriza la estructura de probabilidades conjunta con un HAC pseudo-dependiente del tiempo. Se considera un escenario grave de cambio climático. Se repite la metodología no estacionaria en el noroeste del Mar Negro, considerando tanto un escenario suave de cambio climático como otro grave. En el noroeste del Mar Negro, la tormentosidad de mar no está afectada por los patrones climáticos propuestos, todo y que el umbral de temporal está fuertemente influenciado por SC y EA. Los valores medios de las variables de temporal parecen tener una tendencia más positiva que en la costa catalana, y se observa que una subida de los valores medios se relaciona con otra subida de las varianzas. SC y EA afectan fuertemente a los parámetros de los GPDs. En las dos zonas de estudio, la dependencia entre E y D es alta, mientras que la dependencia general entre las variables de temporal es media. En la costa catalana, se espera que la dependencia entre E y D crezca con el tiempo. En el noroeste del Mar Negro, es la dependencia entre todas las variables de temporal la que crece con el tiempo, en ambos escenarios de cambio climático: el escenario grave presenta menos dependencia entre las variables.
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Kortekaas, Stella. "Tsunamis, storms and earthquakes : distinguishing coastal flooding events." Thesis, Coventry University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491429.

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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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Doe, Robert K. "An investigation into the physical impacts of coastal storms on the Dorset coast." Thesis, University of Portsmouth, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439190.

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Coastal storms affecting Dorset are investigated with the aid of a new metadata repository, The Dorset Coastal Storms Database. This customised database has been designed to facilitate extensive secondary data collection and provide a medium with which to analyse fundamental relationships between these data. The database presents the only county-based digital archive of coastal storm forcing and associated physical impacts. A wide range of impacts, vulnerable coastal environments and specific coastal storms have been identified and analysed for the period 1865 to present. A new intensity grading scale for coastal storm impacts has been developed in order to facilitate the identification of coastal storm types. An increase in intensity of coastal storms producing physical impacts on the Dorset coast has been identified. A thorough examination of local and regional storminess has been performed to determine baseline conditions, identify trends, and postulate future trends. A reduction in the average annual number of days with gale along the Dorset coast is highlighted, along with a shift in the number of coastal storms with physical impacts from October-December, to that of January-March. A regional field monitoring programme between 1999 and 2004 facilitated the collection of primary data during, and following, extreme events along the Dorset coast. These Rapid Response Surveys identified Studland beach and dunes, between Middle and Knoll beach, as one of the most vulnerable zones to future storm climates.
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Hickey, Kieran Richard. "Documentary records of coastal storms in Scotland 1500-1991 A.D." Thesis, Coventry University, 1997. http://curve.coventry.ac.uk/open/items/aa6dfd04-d53f-4741-1bb7-bdf99fb153be/1.

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This study is concerned with the preparation of a research datum line in historical climatology and will provide a valuable data set for a wide variety of researchers in the future who are interested in the relationship between aspects of the coastal and climate systems and the human-coastal environment interface. The principal objective was to create and prepare an original historical data base on the storms, floods, erosion events and sand movements in Scotland 1500-1991 A.D.
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Franck, Travis Read. "Coastal communities and climate change : a dynamic model of risk perception, storms, and adaptation." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54846.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2009.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 303-311).
Climate change impacts, including sea-level rise and changes in tropical storm frequency and intensity, will pose signicant challenges to city planners and coastal zone managers trying to make wise investment and protection decisions. Meanwhile, policymakers are working to mitigate impacts by regulating greenhouse gas emissions. To design effective policies, policymakers need more accurate information than is currently available to understand how coastal communities will be affected by climate change. My research aims to improve coastal impact and adaptation assessments, which inform climate and adaptation policies. I relax previous assumptions of probabilistic annual storm damage and rational economic expectations-variables in previous studies that are suspect, given the stochastic nature of storm events and the real-world behavior of people. I develop a dynamic stochastic adaptation model that includes explicit storm events and boundedly rational storm perception. I also include endogenous economic growth, population growth, public adaptation measures, and relative sea-level rise. The frequency and intensity of stochastic storm events can change a region's long- term economic growth pattern and introduce the possibility of community decline. Previous studies using likely annual storm damage are unable to show this result. Additionally, I consider three decision makers (coastal managers, infrastructure investors, and residents) who differ regarding their perception of storm risk. The decision makers' perception of risk varies depending on their rationality assumptions.
(cont.) Boundedly rational investors and residents perceive storm risk to be higher immediately after a storm event, which can drive down investment, decrease economic 3 growth, and increase economic recovery time, proving that previous studies provide overly optimistic economic predictions. Rationality assumptions are shown to change economic growth and recovery time estimates. Including stochastic storms and variable rationality assumptions will improve adaptation research and, therefore, coastal adaptation and climate change policies.
by Travis Read Franck.
Ph.D.
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Mulvaney, Heidi Sarah. "An investigation into sandy beach stabilisation through controlled drainage." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342713.

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Switzer, Adam D. "Depositional characteristics of recent and late Holocene overwash sandsheets in coastal embayments from southeast Australia." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20051202.112948/index.html.

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Lee, Hyerin M. ArchMassachusetts Institute of Technology. "Weathering the storms : new suburban typology for coastal cities through a case study on Winthrop, MA." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127849.

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Thesis: M. Arch., Massachusetts Institute of Technology, Department of Architecture, May, 2020
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 61-62).
Climate change is intensifying natural events around the world. As the sea level rises, coastal cities are becoming more vulnerable to storm surges and flooding. This is especially problematic in the U.S. where the population is concentrated and is on the rise along the coasts. Properties of high total value are also at risk. Various flood mitigation strategies have been implemented domestically and internationally. Hard solutions such as seawalls and levees can be effective but they are expensive and potentially catastrophic in the event of failure. Soft solutions like dunes and living shorelines have stabilizing effects but they are moderate in their effectiveness and will not protect against significant sea level rise or major storms. Strategies involving retreat is a sure way to remove people and properties from harm's way. If the sea level continues to rise, retreating will become inevitable. Currently, there are many challenges with this method. In the U.S., flood insurance policy is structured in a way to incentivize people to stay in flood-prone areas as opposed to moving. Relocation can be disorienting for people involved and costly for tax payers. Economic and political pressure often sides with building more than building less. This thesis aims at providing a design solution for coastal suburbs that can enable retreat in a sustainable way. Winthrop, Massachusetts, which is a dense suburb lying six miles to the east of Boston and is experiencing frequent flooding was selected as a case-study site. The thesis proposes a new building typology that can appeal to suburban life style, be implemented incrementally, and, most importantly, protect people and properties from the dangers of coastal flooding.
by Hyerin Lee.
M. Arch.
M.Arch. Massachusetts Institute of Technology, Department of Architecture
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Books on the topic "Coastal storms"

1

Ciavola, Paolo, and Giovanni Coco, eds. Coastal Storms. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.

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Godschalk, David R. Catastrophic coastal storms: Hazard mitigation and development management. Durham: Duke University Press, 1989.

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Vasseur, Liette, Mary J. Thornbush, and Steve Plante. Adaptation to Coastal Storms in Atlantic Canada. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63492-0.

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Quevauviller, Philippe, Paolo Ciavola, and Emmanuel Garnier. Management of the Effects of Coastal Storms. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119116103.

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Geological Survey (U.S.). Coastal storm monitoring in Virginia. Reston, Virginia]: U.S. Department of the Interior, U.S. Geological Survey, 2014.

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Mertz, D. R. Guide specifications for bridges vulnerable to coastal storms. Washington, DC: American Association of State Highway and Transportation Officials, 2008.

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Dashew, Steve. Surviving the storm: Coastal & offshore tactics. Tuscon, Ariz: Beowulf, 1999.

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Brown, R. D. Climatology of severe storms affecting coastal areas of Eastern Canada. Markham, Ont: MEP, 1986.

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Luppens, Mahoney Jennifer, and Forecast Systems Laboratory (U.S.), eds. Coastal storms initiative: Summary of 1 June-31 August 2003 evaluation. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, Forecast Systems Laboratory, 2004.

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W, Ramsey Kelvin, University of Delaware, and Delaware Geological Survey, eds. Summary report: The coastal storms of January 27-29 and February 4-6, 1998, Delaware and Maryland. Newark, Del: University of Delaware, 1998.

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Book chapters on the topic "Coastal storms"

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Peterson, Jeffrey. "Coastal Storms, Coastal Nightmare." In A New Coast, 9–19. Washington, DC: Island Press/Center for Resource Economics, 2019. http://dx.doi.org/10.5822/978-1-64283-013-2_2.

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Vila-Concejo, Ana, and Paul Kench. "Storms in Coral Reefs." In Coastal Storms, 127–49. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.ch7.

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Harley, Mitchell. "Coastal Storm Definition." In Coastal Storms, 1–21. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.ch1.

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van Dongeren, Ap, Dano Roelvink, Robert McCall, Kees Nederhoff, and Arnold van Rooijen. "Modeling the Morphological Impacts of Coastal Storms." In Coastal Storms, 195–216. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.ch10.

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Jiménez, José, Clara Armaroli, and Eva Bosom. "Preparing for the Impact of Coastal Storms: A Coastal Manager-oriented Approach." In Coastal Storms, 217–39. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.ch11.

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Ranasinghe, Roshanka, and David Callaghan. "Assessing Storm Erosion Hazards." In Coastal Storms, 241–56. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.ch12.

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Bertin, Xavier, Maitane Olabarrieta, and Robert McCall. "Hydrodynamics Under Storm Conditions." In Coastal Storms, 23–43. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.ch2.

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Aagaard, Troels, and Aart Kroon. "Sediment Transport Under Storm Conditions on Sandy Beaches." In Coastal Storms, 45–63. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.ch3.

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Plant, Nathaniel, Kara Doran, and Hilary Stockdon. "Examples of Storm Impacts on Barrier Islands." In Coastal Storms, 65–79. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.ch4.

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Wang, Ping, and Jun Cheng. "Storm Impacts on the Morphology and Sedimentology of Open-coast Tidal Flats." In Coastal Storms, 81–98. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118937099.ch5.

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Conference papers on the topic "Coastal storms"

1

Benassai, G., P. Celentano, and F. Sessa. "Coastal storm damage reduction program in Salerno Province after the winter 2008 storms." In COASTAL PROCESSES 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/cp090111.

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Kuipers, Keelin S., and Douglas Harper. "The NOAA Coastal Storms Program." In Solutions to Coastal Disasters Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40968(312)71.

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POATE, TIM, GERD MASSELINK, ROBERT McCALL, PAUL RUSSELL, and MARK DAVIDSON. "UK STORMS 2014: GRAVEL BEACH RESPONSE." In Coastal Sediments 2015. WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814689977_0257.

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FAGHERAZZI, SERGIO, and LUCA CORTESE. "FEEDING SALT MARSHES WITH COASTAL STORMS." In Coastal Sediments 2023. WORLD SCIENTIFIC, 2023. http://dx.doi.org/10.1142/9789811275135_0228.

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GARCIA-LEON, MANUEL, VICENTE GRACIA, LAURA ROBICHAUX, ARNE KROGER, JEREMY GAULT, and AGUSTIN SÁNCHEZ-ARCILLA. "EVALUATION OF TRANSIENT DEFENCE MEASURES AGAINST STORMS." In Coastal Sediments 2015. WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814689977_0166.

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ANDERSON, DYLAN, ALIREZA GHARAGOZLOU, JESSICA GORSKI, and JOEL CASEY DIETRICH. "EMULATION OF BEACH PROFILE RESPONSE TO STORMS." In Coastal Sediments 2023. WORLD SCIENTIFIC, 2023. http://dx.doi.org/10.1142/9789811275135_0022.

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RAVENS, TOM, MARTIN HENKE, and CELSO FERREIRA. "ARCTIC COASTAL STORMS, UNIQUE IN CHARACTER AND IMPACT." In Coastal Sediments 2023. WORLD SCIENTIFIC, 2023. http://dx.doi.org/10.1142/9789811275135_0223.

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Cavaleri, L., L. Bertotti, P. Canestrelli, and P. Lionello. "Extreme Storms in the Adriatic Sea." In 22nd International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1991. http://dx.doi.org/10.1061/9780872627765.018.

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Dube, S. K., P. C. Sinha, and G. D. Roy. "Numerical Simulation of Storm Surges Induced by Tropical Storms Impinging on the Bangladesh Coast." In 19th International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1985. http://dx.doi.org/10.1061/9780872624382.014.

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KÜMMERER, VINCENT, CARLOS LOUREIRO, and ÓSCAR FERREIRA. "MUTED MORPHOLOGICAL RESPONSE TO EXTREME STORMS IN GEOLOGICALLY CONTROLLED BARRIER ISLANDS." In Coastal Sediments 2023. WORLD SCIENTIFIC, 2023. http://dx.doi.org/10.1142/9789811275135_0005.

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Reports on the topic "Coastal storms"

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Cialone, Mary, Jessamin Straub, Britt Raubenheimer, Jenna Brown, Katherine Brodie, Nicole Elko, Patrick Dickhudt, et al. A large-scale community storm processes field experiment : the During Nearshore Event Experiment (DUNEX) overview reference report. Engineer Research and Development Center (U.S.), March 2023. http://dx.doi.org/10.21079/11681/46548.

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The DUring Nearshore Event EXperiment (DUNEX) was a series of large-scale nearshore coastal field experiments focused on during-storm, nearshore coastal processes. The experiments were conducted on the North Carolina coast by a multidisciplinary group of over 30 research scientists from 2019 to 2021. The overarching goal of DUNEX was to collaboratively gather information to improve understanding of the interactions of coastal water levels, waves, and flows, beach and dune evolution, soil behavior, vegetation, and groundwater during major coastal storms that affect infrastructure, habitats, and communities. In the short term, these high-quality field measurements will lead to better understanding of during-storm processes, impacts and post-storm recovery and will enhance US academic coastal research programs. Longer-term, DUNEX data and outcomes will improve understanding and prediction of extreme event physical processes and impacts, validate coastal processes numerical models, and improve coastal resilience strategies and communication methods for coastal communities impacted by storms. This report focuses on the planning and preparation required to conduct a large-scale field experiment, the collaboration amongst researchers, and lessons learned. The value of a large-scale experiment focused on storm processes and impacts begins with the scientific gains from the data collected, which will be available and used for decades to come.
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Torres, Marissa, Norberto Nadal-Caraballo, and Alexandros Taflanidis. Rapid tidal reconstruction for the Coastal Hazards System and StormSim part II : Puerto Rico and U.S. Virgin Islands. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41482.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the continuing efforts towards incorporating rapid tidal time-series reconstruction and prediction capabilities into the Coastal Hazards System (CHS) and the Stochastic Storm Simulation System (StormSim). The CHS (Nadal-Caraballo et al. 2020) is a national effort for the quantification of coastal storm hazards, including a database and web tool (https://chs.erdc.dren.mil) for the deployment of results from the Probabilistic Coastal Hazard Analysis (PCHA) framework. These PCHA products are developed from regional studies such as the North Atlantic Coast Comprehensive Study (NACCS) (Nadal-Caraballo et al. 2015; Cialone et al. 2015) and the ongoing South Atlantic Coast Study (SACS). The PCHA framework considers hazards due to both tropical and extratropical cyclones, depending on the storm climatology of the region of interest. The CHS supports feasibility studies, probabilistic design of coastal structures, and flood risk management for coastal communities and critical infrastructure. StormSim (https://stormsim.erdc.dren.mil) is a suite of tools used for statistical analysis and probabilistic modeling of historical and synthetic storms and for stochastic design and other engineering applications. One of these tools, the Coastal Hazards Rapid Prediction System (CHRPS) (Torres et al. 2020), can perform rapid prediction of coastal storm hazards, including real-time hurricane-induced flooding. This CHETN discusses the quantification and validation of the Advanced Circulation (ADCIRC) tidal constituent database (Szpilka et al. 2016) and the tidal reconstruction program Unified Tidal analysis (UTide) (Codiga 2011) in the Puerto Rico and U.S. Virgin Islands (PR/USVI) coastal regions. The new methodology discussed herein will be further developed into the Rapid Tidal Reconstruction (RTR) tool within the StormSim and CHS frameworks.
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Melby, Jeffrey, Thomas Massey, Fatima Diop, Himangshu Das, Norberto Nadal-Caraballo, Victor Gonzalez, Mary Bryant, et al. Coastal Texas Protection and Restoration Feasibility Study : Coastal Texas flood risk assessment : hydrodynamic response and beach morphology. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41051.

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The US Army Corps of Engineers, Galveston District, is executing the Coastal Texas Protection and Restoration Feasibility Study coastal storm risk management (CSRM) project for the region. The project is currently in the feasibility phase. The primary goal is to develop CSRM measures that maximize national net economic development benefits. This report documents the coastal storm water level and wave hazard, including sea level rise, for a variety of flood risk management alternatives. Four beach restoration alternatives for Galveston Island and Bolivar peninsula were evaluated. Suites of synthetic tropical and historical non-tropical storms were developed and modeled. The CSTORM coupled surge-and-wave modeling system was used to accurately characterize storm circulation, water level, and wave hazards using new model meshes developed from high-resolution land and sub-aqueous surveys for with- and without-project scenarios. Beach morphology stochastic response was modeled with a Monte Carlo life-cycle simulation approach using the CSHORE morphological evolution numerical model embedded in the StormSim stochastic modeling system. Morphological and hydrodynamic response were primarily characterized with probability distributions of the number of rehabilitations and overflow.
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Ramos-Santiago, Efrain, Norberto Nadal-Caraballo, Fabian Garcia-Moreno, Luke Aucoin, Meredith Carr, Madison Yawn, and Jeffrey Melby. Statistical analysis of storm surge and seiche hazards for Lake Erie. Engineer Research and Development Center (U.S.), May 2024. http://dx.doi.org/10.21079/11681/48590.

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Storm surge and seiche events are generally forced by severe storms, initially resulting in a wind-driven super elevation of water level on one or more sides of a lake (surge) followed by a rebound and periodic oscillation of water levels between opposing sides of the lake (seiche). These events have caused flooding along Lake Erie and significant damages to coastal communities and infrastructure. This study builds upon statistical analysis methods initially developed for the 2012 federal interagency Great Lakes Coastal Flood Study. Using the Coastal Hazards System's stochastic Storm Simulation (StormSim) suite of tools, including the Probabilistic Simulation Technique (PST), and regional frequency model, historical extreme events were assessed in a local frequency analysis and a regional frequency analysis to quantify the annual exceedance frequency (AEF) of WLD events specific to Lake Erie. The objective of this study was to quantify AEFs of storm surge and seiche hazards to provide a better understanding of these events to aid flood mitigation and risk reduction for lakeside properties.
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5

Torres, Marissa, and Norberto Nadal-Caraballo. Rapid tidal reconstruction with UTide and the ADCIRC tidal database. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41503.

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The quantification of storm surge is vital for flood hazard assessment in communities affected by coastal storms. The astronomical tide is an integral component of the total still water level needed for accurate storm surge estimates. Coastal hazard analysis methods, such as the Coastal Hazards System and the StormSim Coastal Hazards Rapid Prediction System, require thousands of hydrodynamic and wave simulations that are computationally expensive. In some regions, the inclusion of astronomical tides is neglected in the hydrodynamics and tides are instead incorporated within the probabilistic framework. There is a need for a rapid, reliable, and accurate tide prediction methodology to provide spatially dense reconstructed or predicted tidal time series for historical, synthetic, and forecasted hurricane scenarios. A methodology is proposed to combine the tidal harmonic information from the spatially dense Advanced Circulation hydrodynamic model tidal database with a rapid tidal reconstruction and prediction program. In this study, the Unified Tidal Analysis program was paired with results from the tidal database. This methodology will produce reconstructed (i.e., historical) and predicted tidal heights for coastal locations along the United States eastern seaboard and beyond and will contribute to the determination of accurate still water levels in coastal hazard analysis methods.
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Stehno, Abigail, Jeffrey Melby, Shubhra Misra, Norberto Nadal-Caraballo, and Victor Gonzalez. Sabine Pass to Galveston Bay, TX Pre-construction, Engineering and Design (PED) : coastal storm surge and wave hazard assessment : report 2 – Port Arthur. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41901.

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The US Army Corps of Engineers, Galveston District, is executing the Sabine Pass to Galveston Bay Coastal Storm Risk Management (CSRM) project for Brazoria, Jefferson, and Orange Counties regions. The project is currently in the Pre-construction, Engineering, and Design phase. This report documents coastal storm water level and wave hazards for the Port Arthur CSRM structures. Coastal storm water level (SWL) and wave loading and overtopping are quantified using high-fidelity hydrodynamic modeling and stochastic simulations. The CSTORM coupled water level and wave modeling system simulated 195 synthetic tropical storms on three relative sea level change scenarios for with- and without-project meshes. Annual exceedance probability (AEP) mean values were reported for the range of 0.2 to 0.001 for peak SWL and wave height (Hm0) along with associated confidence limits. Wave period and mean wave direction associated with Hm0 were also computed. A response-based stochastic simulation approach is applied to compute AEP values for overtopping for levees and overtopping, nappe geometry, and combined hydrostatic and hydrodynamic fluid pressures for floodwalls. CSRM crest design elevations are defined based on overtopping rates corresponding to incipient damage. Survivability and resilience are evaluated. A system-wide hazard level assessment was conducted to establish final recommended system-wide elevations.
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Melby, Jeffrey, Thomas Massey, Abigail Stehno, Norberto Nadal-Caraballo, Shubhra Misra, and Victor Gonzalez. Sabine Pass to Galveston Bay, TX Pre-construction, Engineering and Design (PED) : coastal storm surge and wave hazard assessment : report 1 – background and approach. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41820.

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The US Army Corps of Engineers, Galveston District, is executing the Sabine Pass to Galveston Bay Coastal Storm Risk Management (CSRM) project for Brazoria, Jefferson, and Orange Counties regions. The project is currently in the Pre-construction, Engineering, and Design phase. This report documents coastal storm water level and wave hazards for the Port Arthur CSRM structures. Coastal storm water level (SWL) and wave loading and overtopping are quantified using high-fidelity hydrodynamic modeling and stochastic simulations. The CSTORM coupled water level and wave modeling system simulated 195 synthetic tropical storms on three relative sea level change scenarios for with- and without-project meshes. Annual exceedance probability (AEP) mean values were reported for the range of 0.2 to 0.001 for peak SWL and wave height (Hm0) along with associated confidence limits. Wave period and mean wave direction associated with Hm0 were also computed. A response-based stochastic simulation approach is applied to compute AEP runup and overtopping for levees and overtopping, nappe geometry, and combined hydrostatic and hydrodynamic fluid pressures for floodwalls. CSRM structure crest design elevations are defined based on overtopping rates corresponding to incipient damage. Survivability and resilience are evaluated. A system-wide hazard level assessment was conducted to establish final recommended system-wide CSRM structure elevations.
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8

Ruffman, A., K. Hattie, D. Boyce, B. Stevenson, A. Smith, G. Buchan, and D. Snow. Historic seismicity and record of severe storms with coastal flooding for western Newfoundland - volume 1. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1991. http://dx.doi.org/10.4095/132211.

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9

Ruffman, A., K. Hattie, D. Boyce, B. Stevenson, A. Smith, G. Buchan, and D. Snow. Historic seismicity and record of severe storms with coastal flooding for western Newfoundland - volume 2. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1991. http://dx.doi.org/10.4095/132212.

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10

Mercer Clarke, Colleen S. L., Alexander J. Clarke, Murray Simpson, John D. Clarke, and Daniel Scott. Coastal Setbacks in Latin America and the Caribbean: A Study of Emerging Issues and Trends that Inform Guidelines for Coastal Planning and Development. Inter-American Development Bank, October 2012. http://dx.doi.org/10.18235/0009056.

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Bank investments in tourism and other coastal development projects have been on the rise, generating an interest in the development of instruments and tools that would more effectively inform Bank staff on critical issues, and support the management of the environmental and social risks of the Bank's portfolio. Coastal areas, which are home to the majority of the population of the LAC Region, are challenged by rising populations, sprawling and sometimes unplanned development, and the associated pressures of pollution, overexploitation of marine and freshwater resources, loss of biodiversity, severe storms, and the longer-term threats of climate change and attendant sea level rise.
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