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Academic literature on the topic 'Shoreline'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Shoreline"

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Kim, Han-Gyeol, Jong-Hwan Son, and Taejung Kim. "Geometric Correction for the Geostationary Ocean Color Imager from a Combination of Shoreline Matching and Frequency Matching." Sensors 18, no. 11 (October 23, 2018): 3599. http://dx.doi.org/10.3390/s18113599.

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Geometric correction is fundamental in producing high quality satellite data products. However, the geometric correction for ocean color sensors, e.g., Geostationary Ocean Color Imager (GOCI), is challenging because the traditional method based on ground control points (GCPs) cannot be applied when the shoreline is absent. In this study, we develop a hybrid geometric correction method, which applies shoreline matching and frequency matching on slots with shorelines and without shorelines, respectively. Frequency matching has been proposed to estimate the relative orientation between GOCI slots without a shoreline. In this paper, we extend our earlier research for absolute orientation and geometric correction by combining frequency matching results with shoreline matching ones. The proposed method consists of four parts: Initial sensor modeling of slots without shorelines, precise sensor modeling through shoreline matching, relative orientation modeling by frequency matching, and generation of geometric correction results using a combination of the two matching procedures. Initial sensor modeling uses the sensor model equation for GOCI and metadata in order to remove geometric distortion due to the Earth’s rotation and curvature in the slots without shorelines. Precise sensor modeling is performed with shoreline matching and random sample consensus (RANSAC) in the slots with shorelines. Frequency matching computes position shifts for slots without shorelines with respect to the precisely corrected slots with shorelines. GOCI Level 1B scenes are generated by combining the results from shoreline matching and frequency matching. We analyzed the accuracy of shoreline matching alone against that of the combination of shoreline matching and frequency matching. Both methods yielded a similar accuracy of 1.2 km, which supports the idea that frequency matching can replace traditional shoreline matching for slots without visible shorelines.
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Dobbs, Briana N., Michael I. Volk, and Nawari O. Nawari. "Living Shoreline Treatment Suitability Analysis: A Study on Coastal Protection Opportunities for Sarasota County." Journal of Sustainable Development 10, no. 1 (February 3, 2017): 55. http://dx.doi.org/10.5539/jsd.v10n1p55.

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Increases in the world population, sea level rise, and urbanization of coastal areas have put tremendous pressures on coastlines around the world. As a result, natural shoreline habitats are being replaced by seawalls and other hardened forms of coastal protection. Evidence shows that hardened shorelines can have a negative impact on the environment and surrounding habitat, leading to a loss of biodiversity and ecosystem services. This research aims to increase the different forms of coastal protection used throughout Sarasota County, Florida by conducting a geographic information system (GIS) suitability analysis for living shoreline treatment. Living shorelines or hybrid solutions are a more ecologically sustainable alternative to traditional forms of coastal protection, which use natural ecosystems or alternatively- structural organic and natural materials such as plantings, rocks, and oyster beds to stabilize shorelines and enhance shoreline habitat. The GIS model identifies coastlines that are 1) most suitable for living shoreline treatment, 2) most suitable for a hybrid solution, or 3) not suitable for living shorelines by analyzing the bathymetry, land use, land value, tree canopy, population, wave energy, shoreline sensitivity, and shoreline habitat. The suitability for living shoreline treatments was assessed independently for each parameter and assigned a value ranging from 0, areas that should consider using traditional methods of coastal protection to 3, shoreline segments most suitable for living shoreline treatment. The results from the individual analyses for each parameter were combined using a weighted overlay approach to determine general suitability for living shorelines within the study area. The result found that over 95% of the shoreline segments are potentially suitable for hybrid shoreline stabilization solutions.
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Walling, Katlin, Douglas Gaffney, and Moses Katkowski. "WAVE ATTENUATION AND SEDIMENT TRANSPORT MONITORING OF LIVING SHORELINES IN THE DELAWARE BAY, U.S." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 53. http://dx.doi.org/10.9753/icce.v36.sediment.53.

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Living shorelines are considered a more natural approach to shoreline stabilization for low-energy coastlines in contrast to traditional “hard” shoreline armoring methods (i.e. bulkheads). Living shorelines often vary by design and materials, which are optimized for site-specific coastal and environmental conditions, such as wave climate, tidal range, sunlight exposure, etc.; however, the core benefits of all engineered living shorelines are typically the same: reduce shoreline erosion; enhance marine, intertidal, or backshore habitat; and increase resiliency to storm surge and/or sea level rise. While the general benefits of living shorelines are well known, project-specific technical data (i.e. percent of wave energy attenuation, shoreline advancement rates) documenting the effectiveness of living shorelines is more sparse. Moreover, monitoring equipment and analysis techniques required to capture the fine-detailed technical data can prove to be cost and/or labor intensive.
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Choung, Yun-Jae, and Myung-Hee Jo. "Comparison between a Machine-Learning-Based Method and a Water-Index-Based Method for Shoreline Mapping Using a High-Resolution Satellite Image Acquired in Hwado Island, South Korea." Journal of Sensors 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8245204.

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Shoreline-mapping tasks using remotely sensed image sources were carried out using the machine learning techniques or using water indices derived from image sources. This research compared two different methods for mapping accurate shorelines using the high-resolution satellite image acquired in Hwado Island, South Korea. The first shoreline was generated using a water-index-based method proposed in previous research, and the second shoreline was generated using a machine-learning-based method proposed in this research. The statistical results showed that both shorelines had high accuracies in the well-identified coastal zones while the second shoreline had better accuracy than the first shoreline in the coastal zones with irregular shapes and the shaded areas not identified by the water-index-based method. Both shorelines, however, had low accuracies in the coastal zones with the shaded areas not identified by both methods.
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Song, Yuan, Yongming Shen, Ruofan Xie, and Jialin Li. "A DSAS-based study of central shoreline change in Jiangsu over 45 years." Anthropocene Coasts 4, no. 1 (January 1, 2021): 115–28. http://dx.doi.org/10.1139/anc-2020-0001.

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A large-scale sand ridge group is distributed in the central Jiangsu coastal area, and a deposition muddy sea bank was developed in the nearshore area. Quantitative monitoring of coastline changes is of great significance for tidal beach development and protection. The shorelines of the central coast of Jiangsu within six periods (1973–2018) were extracted in this study, and their length changes over the years were analyzed. The Digital Shoreline Analysis System (DSAS) was employed to generate a cross section perpendicular to the baseline and calculate the linear regression rate (LRR) of the shoreline, changes in end point rate (EPR), and net shoreline movement (NSM), based on which the shoreline change features were analyzed. The DSAS results indicated that the shorelines in the study area maintained fluctuating growth and presented a continuous advancing trend towards the sea. From the changes in shoreline evolution distance during 1973–2018, the advancing shorelines in the study area accounted for over 50% of the total shorelines and presented first rising and then declining trends with the period of 2003–2013 taken as the time boundary. The average shoreline change rate was 207 m/year, and the periods with the highest change degrees were 1983–1993 and 1993–2013. The shoreline change tended to be stable during 2013–2018, and only a few estuaries and ports underwent obvious erosion and sedimentation.
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Steedman, Robert J., Robert S. Kushneriuk, and Robert L. France. "Littoral water temperature response to experimental shoreline logging around small boreal forest lakes." Canadian Journal of Fisheries and Aquatic Sciences 58, no. 8 (August 1, 2001): 1638–47. http://dx.doi.org/10.1139/f01-103.

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Shoreline logging did not significantly increase average littoral water temperatures in two small boreal forest lakes in northwestern Ontario, Canada. However, over the early summer monitoring period clearcut shorelines were associated with increases of 1–2°C in maximum littoral water temperature, and increases of 0.3–0.6°C in average diurnal temperature range, compared with undisturbed shorelines or shorelines with 30-m shoreline buffer strips. Comparison of simultaneous water temperatures at littoral locations with and without shoreline forest showed that increased temperatures were caused by daytime heating.
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Ding, Yan, Ashley E. Frey, Sung-Chan Kim, and Rusty E. Permenter. "PROBABILISTIC SHORELINE CHANGE MODELING AND RISK ESTIMATION OF EROSION." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 1. http://dx.doi.org/10.9753/icce.v36.papers.1.

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Prediction of long-term shoreline changes is a key task in planning and management of coastal zones and regional sediment management. Due to complex natural features of offshore waves, sediments, and longshore sediment transport, quantifying uncertainties of shoreline evolution and risks of extreme shoreline changes (erosion and accretion) is of vital importance for practicing uncertainty- or risk-based design of shorelines. This paper presents probabilistic shoreline change modeling to quantify uncertainties of shoreline variations by using numerical-model-based Monte-Carlo simulations. A shoreline evolution model, GenCade, is used to simulate longshore sediment transport and shoreline changes induced by random waves from offshore. A probability density function with a modified tail distribution is developed to capture stochastic features of wave heights under fair weather and storm conditions. It produces a time series of wave heights including small and extreme waves based on their probabilities (or frequencies of appearance). Probabilistic modeling of shoreline change is demonstrated by computing spatiotemporal variations of statistical parameters such as mean and variance of shoreline changes along an idealized coast bounded by two groins. Maximum shoreline changes in return years with a confidence range are also estimated by using maximum likelihood method. Reasonable results of obtained probabilistic shoreline changes reveal that this model-based Monte-Carlo simulation and uncertainty estimation approach are applicable to facilitate risk/uncertainty-based design and planning of shorelines.
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Kornis, Matthew S., Donna M. Bilkovic, Lori A. Davias, Steve Giordano, and Denise L. Breitburg. "Shoreline Hardening Affects Nekton Biomass, Size Structure, and Taxonomic Diversity in Nearshore Waters, with Responses Mediated by Functional Species Groups." Estuaries and Coasts 41, S1 (April 24, 2017): 159–79. http://dx.doi.org/10.1007/s12237-017-0214-5.

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Abstract Coastal shoreline hardening is intensifying due to human population growth and sea level rise. Prior studies have emphasized shoreline-hardening effects on faunal abundance and diversity; few have examined effects on faunal biomass and size structure or described effects specific to different functional groups. We evaluated the biomass and size structure of mobile fish and crustacean assemblages within two nearshore zones (waters extending 3 and 16 m from shore) adjacent to natural (native wetland; beach) and hardened (bulkhead; riprap) shorelines. Within 3 m from shore, the total fish/crustacean biomass was greatest at hardened shorelines, driven by greater water depth that facilitated access to planktivore (e.g., bay anchovy) and benthivore-piscivore (e.g., white perch) species. Small-bodied littoral-demersal species (e.g., Fundulus spp.) had greatest biomass at wetlands. By contrast, total biomass was comparable among shoreline types within 16 m from shore, suggesting the effect of shoreline hardening on fish biomass is largely within extreme nearshore areas immediately at the land/water interface. Shoreline type utilization was mediated by body size across all functional groups: small individuals (≤60 mm) were most abundant at wetlands and beaches, while large individuals (>100 mm) were most abundant at hardened shorelines. Taxonomic diversity analysis indicated natural shoreline types had more diverse assemblages, especially within 3 m from shore, although relationships with shoreline type were weak and sensitive to the inclusion/exclusion of crustaceans. Our study illustrates how shoreline hardening effects on fish/crustacean assemblages are mediated by functional group, body size, and distance from shore, with important applications for management.
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Wang, Junbo, Lanying Wang, Shufang Feng, Benrong Peng, Lingfeng Huang, Sarah N. Fatholahi, Lisa Tang, and Jonathan Li. "An Overview of Shoreline Mapping by Using Airborne LiDAR." Remote Sensing 15, no. 1 (January 1, 2023): 253. http://dx.doi.org/10.3390/rs15010253.

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Since the shorelines are important geographical boundaries, monitoring shoreline change plays an important role in integrated coastal management. With the evolution of remote sensing technology, many studies have used optical images to measure and to extract shoreline. However, some factors limit the use of optical imaging on shoreline mapping. Considering that the airborne LiDAR data can provide more accurate topographical information, there are some studies that have been investigated using airborne LiDAR to map shorelines. However, a literature review that combines airborne LiDAR with shoreline measurement and extracting methods has not yet been conducted. The motivation of this paper is to present a narrative review of shoreline mapping by using airborne LiDAR, including a laser scanning system, data availability, and current extraction techniques over the past two decades. Therefore, we conducted a broad search and finally summarized more than 130 articles on airborne LiDAR technology for shoreline measurement and shoreline extraction. We find that shoreline mapping by using airborne LiDAR still meets the challenge, such as objective condition limitations, data availability limitations, and self-characteristic limitations. The current method of shoreline extraction has a great potential to be improved; particularly when combined with the emerging current state-of-the-art LiDAR point cloud processing techniques (e.g., deep-learning algorithms), they will have a brighter future. This review paper provides an overview and the current trend of shoreline mapping using airborne LiDAR, and points out the limitations, challenges, and future opportunities. Moreover, it also can serve as a starting point for novices and experts to study the shoreline mapping by using airborne LiDAR, which provides a scientific support for studying shoreline changes.
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Ezzeldin, Mohsen M., Osami S. Rageh, and Mahmoud E. Saad. "Assessment impact of the Damietta harbour (Egypt) and its deep navigation channel on adjacent shorelines." Revista de Gestão Costeira Integrada 20, no. 4 (December 2020): 265–81. http://dx.doi.org/10.5894/rgci-n338.

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Deep navigation channels have a great impact on adjacent beaches and crucial economic effects because of periodic dredging operations. The navigation channel of the Damietta harbour is considered a clear example of the sedimentation problem and deeply affects the Northeastern shoreline of the Nile Delta in Egypt. The aim of the present study is to monitor shoreline using remote sensing techniques to evaluate the effect of Damietta harbour and its navigation channel on the shoreline for the last 45 years. Also, the selected period was divided into two periods to illustrate the effect of man-made interventions on the shoreline. Shorelines were extracted from satellite images and then the Digital Shoreline Analysis System (DSAS) was used to estimate accurate rates of shoreline changes and predict future shorelines evolution of 2030, 2040, 2050 and 2060. The Damietta harbour created an accretion area in the western side with an average rate of 2.13 m yr-1. On the contrary, the shoreline in the eastern side of the harbour retreated by 92 m on average over the last 45 years. So, it is considered one of the main hazard areas along the Northeastern shoreline of the Nile Delta that needs a sustainable solution. Moreover, a detached breakwaters system is predicted to provide shore stabilization at the eastern side as the implemented one at Ras El-Bar beach. Predicted shoreline evolution of 2060 shows a significant retreat of 280.0 m on average.
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Dissertations / Theses on the topic "Shoreline"

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McWilliams, Brandon K. "Cuspate shoreline morphology." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FMcWilliams.pdf.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, June 2005.
Thesis Advisor(s): Edward Thornton, Timothy Stanton. Includes bibliographical references (p. 53-54). Also available online.
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Ishikawa, Rei. "Historical shoreline change and beach morphodynamics at Rapahoe Bay, West Coast, New Zealand." Thesis, University of Canterbury. Geography, 2008. http://hdl.handle.net/10092/1507.

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This thesis utilises a range of methodologies to investigate the historical shoreline change and beach morphodynamics at Rapahoe Bay, West Coast, New Zealand. Rapahoe Bay is a small embayment located 15 km north of Greymouth, and contains a complex and dynamic environment under a dominant swell condition. The objectives of this thesis include the investigation the coastline history through aerial photographs and relevant literature, identify and quantify historical shoreline change and the processes that have induced change, examine the short term and seasonal changes in beach profile, identify and quantify wave and transport process and to test the applicability of the zeta shoreline curve on a composite beach. This combined approach investigates the dynamics and process drivers involved in coastline change. This thesis contributes to the research gap of understanding morphodynamic behaviour and controls of composite beach under a dominant swell. Composite beaches types are a variation from mixed sand and gravel beaches with distinct morphological differences. This thesis provides an insight in to the morphodynamic behaviour of composite beaches. The study area contains a small village based by the shoreline and the potential coastal hazard that threatens people, property and infrastructure. Therefore the results from this thesis have an important management implication towards mitigating coastal hazards. The historical coastline change was induced through a combination of wave processes and transport, composite beach morphodynamic behaviour, anthropogenic influence and planform shape. Results show that human infrastructure restricted the retreat of a small hapua landward of the gravel barrier. A combination of change in sediment supply, consistent sediment transport and a high wave energy environment resulted in rapid landward retreat through gravel rollover and coastal erosion. The gravel barrier morphodynamics include increase in crest elevation, steeper shore gradients as a response to high swells resulting in erosion or rollover. The wave environment includes a sediment transport hinge point due to a dominant wave refraction and changes in the shoreline orientation, which further induces coastal erosion. The valid applicability of the zeta planform shape concludes that the shoreline may further iii retreat due to geological controls, potential sediment transport and the transgressive nature of the composite beaches. The combination of methods and results provide both quantified historical change and also potential future scenarios of coastline reshaping. These methods and results are applicable not only to Rapahoe but along other West Coast composite beaches, and the validity of the combination of methods provides a greater understanding of the behaviour of morphodynamic composite beaches and provides quantified results of historical shoreline change and sediment transport at the field site.
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Nieminen, Eugene A. "Sirens of the shoreline /." Online version of thesis, 1990. http://hdl.handle.net/1850/10846.

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Ness, Kirsten L. "The Effects of Shoreline Development on Lake Littoral and Riparian Habitats: Are Shoreline Protection Regulations Enough?" Fogler Library, University of Maine, 2006. http://www.library.umaine.edu/theses/pdf/NessKL2006.pdf.

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Arriaga, García Jaime Alonso. "Dynamics of large-scale shoreline perturbations." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/620734.

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Shorelines around the world are rarely smooth and they can present undulations and cuspate shapes. On the one hand, human actions can cause shoreline perturbations via beach nourishments, which in turn perturb the wave field that drives the morphological changes. On the other hand, there can be natural perturbations in the coastal system due to positive feedbacks between the wave forcing and the evolving bathymetric contours. In this thesis, the dynamics of mega-nourishments and shoreline sand waves are investigated. A morphodynamic model based on the wave-driven alongshore sediment transport, including cross-shore transport in a simplified way and neglecting tides, is improved and applied to the Zandmotor mega-nourishment on the Dutch Delfland coast. The model is calibrated with the bathymetric data measured from January 2012 to March 2013 using measured offshore wave forcing. The calibrated model reproduces the evolution of the shoreline and depth contours until March 2015. The modelled coastline diffusivity during the 3-yr period is of 0.0021 m^2/s, close to the observed value of 0.0022 m^2/s. In contrast, the coefficient of the classical one-line diffusion equation is 0.0052~m$^2$/s. Thus, the lifetime is predicted to be of 90 yr instead of 35 yr. This difference is attributed to the role played by the 60% of oblique waves in that climate. The dynamics of mega-nourishments are further investigated by designing analytic mega-nourishments with different asymmetry, shape and volume. It is found that narrow initial shapes are less diffusive than wider shapes and that the smaller nourishments are more diffusive than the bigger ones. Also, it is found that the initial asymmetry can influence the asymmetry in feeding capacity to adjacent beaches throughout 50 years. The mega-nourishment is also forced with wave climates of different obliquity percentages. Its diffusivity decays linearly with increasing obliquity and for very oblique wave climates (more than 80%) hotspot areas are formed at the sides (due to high-angle wave instability). The growth rate of the erosion hotspots is especially high for unimodal wave climates, which also makes mega-nourishments to migrate alongshore at rates of 40 m/yr. Kilometric-scale shoreline sand waves have been observed in the northern flank of the Dungeness Cuspate Foreland (southeastern coast of U.K.). They consist of two bumps separated by embayments with a 350-450 m spacing. We have analyzed 36 shoreline surveys of 2~km length using the Discrete Fourier Transformation (DFT), from 2005 to 2016, and seven topographic surveys encompassing the intertidal zone, from 2010 to 2016. The data set shows two clear formation events, which are correlated with moments were the wave energy of high-angle waves is dominant over the low-angle waves. Also, a linear stability model based on the one-line approximation is applied to the site. It predicts accurately the formation moments, with positive growth rates in the correct order of magnitude for wavelengths similar to the observed ones. All these results confirm that the shoreline undulations in Dungeness are self-organized and that the underlying formation mechanism is the high-angle wave instability. The two detected formation events thus provide a unique opportunity to validate the existing morphodynamic models that include such instability.
Las costas alrededor del mundo rara vez son suaves y pueden presentar ondulaciones y formas de cúspide. Por un lado, las acciones humanas pueden causar perturbaciones en la costa a través de rellenos de playa, lo que a su vez perturba el campo de oleaje que provoca los cambios morfológicos. Por otro lado, puede haber perturbaciones naturales en el sistema costero debido a la retroalimentación positiva entre el forzamiento del oleaje y la evolución de los contornos batimétricos. En esta tesis, se investiga la dinámica de los mega-rellenos y las ondas de arena en la linea de costa (de gran escala). Un modelo morfodinámico basado en el transporte longitudinal y que incluye el transporte transversal de una manera simplificada (ignorando el efecto de las mareas) es primero mejorado y después aplicado al mega-relleno de arena llamado Zandmotor. El modelo se calibra con los datos batimétricos medidos de enero de 2012 a marzo de 2013 y utilizando los datos de oleaje de una boya ubicada a 40 metros de profundidad. El modelo calibrado reproduce la evolución de la línea de costa y de los contornos batimétricos hasta marzo de 2015. La difusividad de la línea de costa modelada, durante el período de 3 años, es de 0.0021 m^2/s, cerca del valor observado de 0.0022 m^2/s. Por el contrario, el coeficiente de la ecuación clásica de difusión de una línea es 0.0052 ~ m^2/s. Por lo tanto, se predice que la vida útil será de 90 años en lugar de 35 años. Esta diferencia se atribuye al papel desempeñado por el 60% de las olas oblicuas en ese clima. La dinámica de los mega-rellenos se investiga con más profundidad mediante el diseño de mega-rellenos analíticos con diferentes asimetrías, formas y volúmenes. Se encuentra que las formas iniciales estrechas son menos difusivas que las formas anchas y que los rellenos más pequeños son más difusivos que los más grandes. Además, se encuentra que la asimetría inicial puede influir en la asimetría de la capacidad de alimentación de playas adyacentes a lo largo de 50 años. También se hacen simulaciones con climas de oleaje de diferentes porcentajes de oblicuidad. Su difusividad sigue un comportamiento lineal decreciente con el aumento de la oblicuidad. Para climas muy oblicuos (más del 80%) se forman áreas de erosión a los lados (debido a la inestabilidad de la ángulo grande). La tasa de crecimiento de los puntos calientes de erosión es especialmente alta para los climas de olas unimodales, lo que también hace que los mega-alimentos migren a lo largo de la costa a velocidades de 40 m / año. Se han observado ondas de arena de escala kilométrica en el flanco norte de Dungeness (costa sudeste del Reino Unido). Consisten en dos crestas separadas con un espaciamiento de 350-450 m. Hemos analizado 36 líneas de costa medidas de 2 km de longitud utilizando la Transformada Discreta de Fourier (TDF), de 2005 a 2016, y siete estudios topográficos que abarcan la zona intermareal, de 2010 a 2016. El conjunto de datos muestra dos eventos de formación claros, que son correlacionados con los momentos donde la energía de olas de ángulo grande es dominante sobre las olas de ángulo bajo. Además, se aplica al sitio un modelo de estabilidad lineal basado en la aproximación de una línea. Predice con precisión los momentos de formación, con tasas de crecimiento positivas en el orden correcto de magnitud para longitudes de onda similares a las observadas. Todos estos resultados confirman que las ondulaciones de la costa en Dungeness son auto-organizadas y que el mecanismo de formación subyacente es la inestabilidad de la oleaje de ángulo grande. Los dos eventos de formación detectados proporcionan así una oportunidad única para validar los modelos morfodinámicos existentes que incluyen dicha inestabilidad
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Miller, Tara L. "- Waikiki - Analysis of an Engineered Shoreline." Thesis, University of Hawaii at Manoa, 2002. http://hdl.handle.net/10125/6953.

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Short-term and long-term shoreline change at Waikiki Beach is analyzed to enhance resource management. Bi-monthly beach profiles reveal short-term variations of the shoreline. Increased wave heights from south swells between May and October often correspond to a period of volume increase, while short-period wind waves predominating between November and April regularly correspond to volume losses. A total mean volume of 167,000 m3 is estimated for Waikiki Beach, with an uncertainty of 15 to 40%. A net volume loss of ~5,200 m3 is found between October 2000 and May 2002. The Royal Hawaiian littoral cell accounts for 93% of the loss. Historical aerial photographs and NOAA T-sheets establish a 76-year shoreline history (1925-2001). The shoreline has migrated a mean distance of 12 m seaward over this period, reflecting the high level of human intervention. Likewise, overall beach width has increased by 32% since 1951. Four of seven littoral cells, however, are characterized by erosion over more recent time scales, showing a mean erosion rate of 0.3 ± 0.1 m/yr. Of the remaining three littoral cells, two have experienced long-term accretion and one has exhibited stability. A relationship between beach width and corresponding sand volume change, established from beach profile data, is applied to historical shoreline changes to establish a history of sand volume fluctuations. Early volume fluctuations are traced to beach nourishment, typically with subsequent beach loss. Volume gains are documented across the entire shoreline between 1975 and 1985. Widespread chronic erosion characterizes the years after 1985. Despite frequent beach nourishment, a sediment budget for Waikiki reveals a sand volume deficit of at least 77,000 m3 for the time period between 1951 and 2001, owing to permanent offshore losses.
xiv, 107 leaves
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7

M, Muslim Aidy @. Mohamed Shawal. "Shoreline mapping using satellite sensor imagery." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402222.

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Sukcharoenpong, Anuchit. "Review of U.S. Tide-Coordinated Shoreline." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1292053620.

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Lee, Hoo Il. "Shoreline assessment of Jefferson County, Texas." Texas A&M University, 2003. http://hdl.handle.net/1969/533.

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Ali, Tarig Abdelgayoum. "New methods for positional quality assessment and change analysis of shoreline features." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1070308923.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xiv, 142 p.; also includes graphics (some col.). Includes abstract and vita. Advisor: Ronxing Li, Dept.of Civil Engineering and Geodetic Science. Includes bibliographical references (p. 134-142).
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Books on the topic "Shoreline"

1

Blake, Liam. Shoreline. Dun Laoghaire, Co. Dublin: Lightfingers, 1991.

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Barbara, Taylor. Shoreline. London: Dorling Kindersley, 1993.

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Anders, Fred J. Shoreline movements. [Vicksburg, Miss: U.S. Army Engineer Waterways Experiment Station, 1990.

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1962-, Sicheri Gabriella, Greenberg Ken, and Canadian Waterfront Resource Centre, eds. Toronto's moveable shoreline. [Toronto?]: Canadian Waterfront Resource Centre, 1990.

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Shoreline: Three plays. Toronto, Ont: Simon & Pierre, 1999.

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Meirion, Dafydd. Walking Anglesey's shoreline. Llanrwst: Gwasg Carreg Gwalch, 2003.

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Pramoulmetar, Christopher. Shoreline assessment model. Bellingham, WA: Huxley College of the Environment, Western Washington University, 2005.

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Witherspoon, Boykin. Shoreline access design guidelines: For Washington marine shoreline habitats. (Olympia, Wash.): Washington State Dept. of Natural Resources, 1994.

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Witherspoon, Boykin. Shoreline access design guidelines: For Washington marine shoreline habitats. (Olympia, Wash.): Washington State Dept. of Natural Resources, 1994.

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Witherspoon, Boykin. Shoreline access design guidelines: For Washington marine shoreline habitats. (Olympia, Wash.): Washington State Department of Natural Resources, 1994.

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Book chapters on the topic "Shoreline"

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Mörner, Nils-Axel. "Shoreline." In Encyclopedia of Estuaries, 589–90. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_98.

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Serra, Jean. "Shoreline Extrapolations." In Handbook of Mathematical Geosciences, 225–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78999-6_12.

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Mörner, Nils-Axel. "Emergent Shoreline." In Encyclopedia of Estuaries, 237. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_100.

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Mörner, Nils-Axel. "Submergent Shoreline." In Encyclopedia of Estuaries, 651. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_101.

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Narayana, A. C. "Shoreline Changes." In Encyclopedia of Estuaries, 590–602. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_118.

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Ortega-Sánchez, Miguel, Alejandro López-Ruiz, Asunción Baquerizo Azofra, and Miguel A. Losada Rodríguez. "Shoreline Undulations." In Encyclopedia of Estuaries, 602. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-8801-4_365.

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Piccioli Resta, Giuseppe, Sergio Fai, and Andrea Picciolo. "Drone remote sensing for coastal habitats protection." In Proceedings e report, 451–61. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-147-1.45.

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Growing beach tourist vocation of Lecce province has led to an increase human pressures along its coasts, often on habitats of conservation interest. Ever-increasing erosion phenomena of sandy shoreline constantly requires fast and effective monitoring activities assessing the conservation status of dunes and shoreline. Remote sensing via RPAS is proving useful to identify phenomena that act on a small scale and supporting and implementing protective measures with an adaptive management approach. This work consists of a protocol for monitoring dune cordons and nearby shorelines through RPAS.
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Abdel-Aal, P. M. "Shoreline Change Modeling." In Computer Modelling of Seas and Coastal Regions, 379–96. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2878-0_28.

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Rossi, Sergio. "The Swamped Shoreline." In Oceans in Decline, 143–58. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02514-4_13.

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Safina, Carl. "A Shoreline Remembrance." In Shifting Baselines, 13–19. Washington, DC: Island Press/Center for Resource Economics, 2011. http://dx.doi.org/10.5822/978-1-61091-029-3_1.

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Conference papers on the topic "Shoreline"

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Cabezas-Rabadán, Carlos, Jaime Almonacid-Caballer, Josep E. Pardo-Pascual, and Jesús Soriano-González. "VARIABILIDAD DE LA LÍNEA DE COSTA A PARTIR DE IMÁGENES DE SATÉLITE Y SU RELACIÓN CON LA TEXTURA DEL SEDIMENTO." In 1st Congress in Geomatics Engineering. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/cigeo2017.2017.6628.

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Beaches are natural environments of great interest for our society. They go through remarkable changes run by key factors that are interconnected according to the literature. A better understanding of these parameters, such as sediment texture and shoreline variability, would be of a great interest for coastal monitoring and planning. Shorelines of all Landsat 8 (OLI) images available over the course of one year have been obtained for determining the variability that has occurred in different Valencian beaches. Likewise, the relation between shoreline variability and sediment texture has been evaluated, showing that beaches with higher variability over the year have smaller sediment texture, which is also related with gentle slopes, and vice versa. The methodology allows obtaining the shoreline variability, a key parameter of beach morphodynamics, in a semiautomatic way. The variability allows developing a gross estimate of beach texture.http://dx.doi.org/10.4995/CIGeo2017.2017.6628
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OVERTON, MARGERY F., JOHN S. FISHER, and ROBERT DOLAN. "PREDICTING SHORELINE CHANGE ON A MANIPULATED SHORELINE." In Proceedings of the 29th International Conference. World Scientific Publishing Company, 2005. http://dx.doi.org/10.1142/9789812701916_0198.

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Garrow, Holly C. "Quantification of Shoreline Rhythmicity." In 19th International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1985. http://dx.doi.org/10.1061/9780872624382.146.

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van de Graaff, Jan, and Eco W. Bijker. "Seawalls and Shoreline Protection." In 21st International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1989. http://dx.doi.org/10.1061/9780872626874.156.

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Seymour, Richard, Robert Guza, and William O'Reilly. "Monitoring Regional Shoreline Change." In California and the World Ocean 2002. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40761(175)2.

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SCHEPPER, ROB, SIERD DE VRIES, AD RENIERS, CAROLINE KATSMAN, RAFAEL ALMAR, ERWIN BERGSMA, and MARK DAVIDSON. "MULTI-TIMESCALE SHORELINE MODELLING." In International Conference on Coastal Sediments 2019. WORLD SCIENTIFIC, 2019. http://dx.doi.org/10.1142/9789811204487_0188.

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Ruggiero, Peter, Jeff List, Dan Hanes, and Jodi Eshleman. "PROBABILISTIC SHORELINE CHANGE MODELING." In Proceedings of the 30th International Conference. World Scientific Publishing Company, 2007. http://dx.doi.org/10.1142/9789812709554_0288.

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Wible, Randi Jean, and Erin P. Argyilan. "PHOTOMONITORING OF SHORELINE DYNAMICS ALONG THE INDIANA SHORELINE OF LAKE MICHIGAN, USA." In GSA Annual Meeting in Indianapolis, Indiana, USA - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018am-321660.

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Chowdhury, Piyali, and Manasa Ranjan Behera. "Impact of Climate Modes on Shoreline Evolution: Southwest Coast of India." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61354.

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Coastal geomorphology is a complex phenomenon which is governed by nearshore wave and tidal climate. Change in climate indices (like sea surface temperature, sea level, intensified cyclone activity, among others) and climate modes (like El Nino Southern Oscillation (ENSO), Southern Annular Mode (SAM), Indian Ocean Dipole (IOD)) affect the wave climate and modify many coastal processes thereby altering the geomorphology of shorelines. In countries like India where tropical and sub-tropical cyclones are common, the coastal geomorphology is under constant threat. Coasts are also vulnerable to anthropogenic factors like offshore structures, harbours, wave farms and other constructional activities along the shoreline. It is thus necessary to understand the evolution of coastlines under the changing climate scenario. The rapidly growing socio-economic development in south-west coast of India has generated the need to investigate the longshore sediment transport (LST) regime in this region under the influence of variable climate factors like the wave characteristics. The presence of numerous river deltas, estuaries and mud banks makes the situation worse especially during the south-west monsoon season (June-September). The investigation on the contemporary evolution of this coastline has not been undertaken and the knowledge of the climate factors that influence the shorelines of the southern tip of India are unknown. This study attempts to understand the temporal dynamics of the longshore sediment transport in this region.
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Overton, Margery F., and John S. Fisher. "Shoreline Analysis Using Digital Photogrammetry." In 25th International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1997. http://dx.doi.org/10.1061/9780784402429.289.

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Reports on the topic "Shoreline"

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Gould, A. I., N. E. M. Kinsman, and M. D. Hendricks. Guide to projected shoreline positions in the Alaska shoreline change tool. Alaska Division of Geological & Geophysical Surveys, August 2015. http://dx.doi.org/10.14509/29503.

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Gould, A. I., N. E. M. Kinsman, and M. D. Hendricks. Alaska shoreline change tool. Alaska Division of Geological & Geophysical Surveys, August 2015. http://dx.doi.org/10.14509/29504.

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Gould, A. I., N. E. M. Kinsman, and M. D. Hendricks. Alaska shoreline change tool. Alaska Division of Geological & Geophysical Surveys, August 2015. http://dx.doi.org/10.14509/shoreline.

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Overbeck, J. R., R. M. Buzard, M. M. Turner, K. Y. Miller, and R. J. Glenn. Shoreline change at Alaska coastal communities. Alaska Division of Geological & Geophysical Surveys, 2020. http://dx.doi.org/10.14509/30552.

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Kim, Jinki, and John Whalen. Chicago Botanic Garden Lake Shoreline Enhancements. Landscape Architecture Foundation, 2013. http://dx.doi.org/10.31353/cs0500.

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Hill, Carlton L. Shoreline Stabilization Design and Wetland Restoration. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada401154.

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Dyke, L. D. Shoreline permafrost along the Mackenzie River. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/211924.

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Fung, Jessemine, and Chris Davis. Historic Characterization of WRIA 9 Shoreline Landforms. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada477862.

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Gravens, Mark B. Periodic Shoreline Morphology, Fire Island, New York. Fort Belvoir, VA: Defense Technical Information Center, June 1999. http://dx.doi.org/10.21236/ada481661.

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Miller, Martin C., Greg D. Williams, Lohna K. O'Rourke, John A. Southard, and Susan L. Blanton. Effects of Shoreline Hardening and Shoreline Protection Features on Fish Utilization and Behavior at Washaway Beach, Washington (Report 2). Office of Scientific and Technical Information (OSTI), February 2002. http://dx.doi.org/10.2172/15001008.

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