Academic literature on the topic 'Coastal system'

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Journal articles on the topic "Coastal system"

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Kubryakov, A. I., G. K. Korotaev, V. L. Dorofeev, et al. "Black Sea coastal forecasting system." Ocean Science 8, no. 2 (2012): 183–96. http://dx.doi.org/10.5194/os-8-183-2012.

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Abstract. The Black Sea coastal nowcasting and forecasting system was built within the framework of EU FP6 ECOOP (European COastalshelf sea OPerational observing and forecasting system) project for five regions: the south-western basin along the coasts of Bulgaria and Turkey, the north-western shelf along the Romanian and Ukrainian coasts, coastal zone around of the Crimea peninsula, the north-eastern Russian coastal zone and the coastal zone of Georgia. The system operates in the real-time mode during the ECOOP project and afterwards. The forecasts include temperature, salinity and current velocity fields. Ecosystem model operates in the off-line mode near the Crimea coast.
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Kubryakov, A. I., G. K. Korotaev, V. L. Dorofeyev, et al. "Black Sea coastal forecasting systems." Ocean Science Discussions 8, no. 3 (2011): 1055–88. http://dx.doi.org/10.5194/osd-8-1055-2011.

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Abstract. The Black Sea coastal nowcasting and forecasting system was built within the framework of EU FP6 ECOOP project for five regions: the south-western basin along the coasts of Bulgaria and Turkey, the North-Western shelf along the Romanian and Ukrainian coasts, coastal zone around of the Crimea peninsula, the north-eastern Russian coastal zone and the coastal zone of Georgia. The system operates in the real-time mode during the ECOOP project and afterwards. The forecasts include temperature, salinity and current velocity fields. Ecosystem model operates in the off-line mode near the Crimea coast.
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Sabino, André, Pedro Poseiro, Armanda Rodrigues, et al. "Coastal risk forecast system." Journal of Geographical Systems 20, no. 2 (2018): 159–84. http://dx.doi.org/10.1007/s10109-018-0266-5.

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Nadal-Caraballo, Norberto C., Madison O. Campbell, Victor M. Gonzalez, Marissa J. Torres, Jeffrey A. Melby, and Alexandros A. Taflanidis. "Coastal Hazards System: A Probabilistic Coastal Hazard Analysis Framework." Journal of Coastal Research 95, sp1 (2020): 1211. http://dx.doi.org/10.2112/si95-235.1.

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Shibaki, Hidenori, Nobuhiko Hara, and Masaki Mimura. "APPLICATION OF INSPECT SYSTEM FOR THE ANALYSIS OF TIDE, WAVE, TSUNAMI AND STORM SURGE ON THE COASTS OF SHIKOKU ISLAND, JAPAN." Coastal Engineering Proceedings 1, no. 32 (2011): 21. http://dx.doi.org/10.9753/icce.v32.management.21.

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The INSPECT (Integrated Numerical research System for Prevention and Estimation of Coastal disasTer) system was developed for numerical analysis of oceanographical disaster phenomena in coastal and estuarine areas. The INSPECT consists of three numerical simulation models (Wave, Storm Surge and Tsunami models), their supporting sub-systems and supporting databases. With this system, various coastal protection works can be more reliable designed. The paper presents an outline of the design, basic theory of numerical research and applications of the system. The analysis of tide, Wave, Tsunami and storm surge on the coasts of Shikoku Island in Japan is performed by using INSPECT.
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Zhu, Zheng-Tao, Feng Cai, Shen-Liang Chen, et al. "Coastal Vulnerability to Erosion Using a Multi-Criteria Index: A Case Study of the Xiamen Coast." Sustainability 11, no. 1 (2018): 93. http://dx.doi.org/10.3390/su11010093.

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The assessment of coastal vulnerability to erosion is urgently needed due to increasing coastal erosion globally. Based on the coastal characteristics of the Xiamen artificial coastline, which accounts for more than 80% of the coastline in this area, this study provides an integrated approach based on a multi-criteria index. The evaluation index system of the local coastal vulnerability to the erosion of Xiamen includes 12 indexes based on natural (coastal characteristics, coastal forcing), and socio-economic factors (coastal infrastructure, disaster reduction). The spatial differentiation characteristics of the coastal vulnerability to erosion along the Xiamen coast (2018) have been quantitatively assessed with the aid of GIS (Geographic Information System) and RS (Remote Sensing) technology. The results show that the very high vulnerability, high vulnerability, medium vulnerability, low vulnerability and very low vulnerability areas of coastal erosion accounted for 4.6%, 30.5%, 51.6%, 12.5% and 0.8% of the Xiamen coast, respectively. The coastal vulnerability to erosion classes of artificial coasts is significantly higher than those of natural coasts. This difference is mainly controlled by the coastal slope and coastal buffer ability. The results of the evaluation are basically consistent with the present situation. The rationality of the index system and the applicability of the theoretical method are well explained. The evaluation model constructed in this study can be extended to other areas with high ratios of artificial coasts.
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Kolesnikovas, A., and K. Macijauskas. "Sea and Coastal Surveillance System." IFAC Proceedings Volumes 31, no. 24 (1998): 70–75. http://dx.doi.org/10.1016/s1474-6670(17)38509-9.

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Baird, Alfred J. "The Japan coastal ferry system." Maritime Policy & Management 27, no. 1 (2000): 3–16. http://dx.doi.org/10.1080/030888300286644.

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Yasir, Muhammad, Sheng Hui, Huang Binghu, and Sami Ur Rahman. "Coastline extraction and land use change analysis using remote sensing (RS) and geographic information system (GIS) technology – A review of the literature." Reviews on Environmental Health 35, no. 4 (2020): 453–60. http://dx.doi.org/10.1515/reveh-2019-0103.

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AbstractCoastlines mapping techniques or the coastline automated analyses have been sought after. In practice, various sorts of seacoasts, for example, biological, silty, arenaceous, artificial, and bedrock coasts, have their own attributes, which force various degrees of intricacy on coastline mapping. As an extraordinary kind of complex artificial coast, aquaculture coast is shaped by the farming of aquatic organisms on silt tidal flats. With the rapid growth of coastal aquaculture in recent years, aquaculture coasts have increased in some developing countries. It has been estimated that aquaculture coasts constitute about 30% of all coastlines in mainland China. In order to identify, monitor, model, and manage the vast expanse of coastal aquaculture, effective methods of extracting aquaculture coastlines from remotely sensed imagery are desired. Secondly, with the rapid economic development in coastal areas, the development of coastal zone resources is also increasing day by day, which benefits the development of island coastal zone. Using oneself has become an important link in the development of marine economy. Due to the limited coastal resources and low environmental carrying capacity, the overexploitation and utilization of coastal resources will lead to a series of problems, such as coastal erosion, coastal migration and accumulation, island area reduction, etc., Both man-made activities and natural factors will lead to coastline changes, which will lead to corresponding changes in coastal ecological environment, thus affecting the coordinated development of coastal economy and the survival of coastal residents. Therefore, efficient, accurate and timely acquisition of coastline information and research on the spatial-temporal changes of coastline are of great significance to the protection of the living environment of coastal residents, the effective development of island and coastal resources, the coordination of sustainable economic development in coastal areas and the mitigation of marine disasters. This paper presents a review of those papers reporting coastline extraction and land use and land cover (LULC) change analysis using remote sensing (RS) and geographic information system (GIS) technology.
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Inghilesi, R., F. Catini, G. Bellotti, L. Franco, A. Orasi, and S. Corsini. "Implementation and validation of a coastal forecasting system for wind waves in the Mediterranean Sea." Natural Hazards and Earth System Sciences 12, no. 2 (2012): 485–94. http://dx.doi.org/10.5194/nhess-12-485-2012.

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Abstract. A coastal forecasting system was implemented to provide wind wave forecasts over the whole Mediterranean Sea area, and with the added capability to focus on selected coastal areas. The goal of the system was to achieve a representation of the small-scale coastal processes influencing the propagation of waves towards the coasts. The system was based on a chain of nested wave models and adopted the WAve Model (WAM) to analyse the large-scale, deep-sea propagation of waves; and the Simulating WAves Nearshore (SWAN) to simulate waves in key coastal areas. Regional intermediate-scale WAM grids were introduced to bridge the gap between the large-scale and each coastal area. Even applying two consecutive nestings (Mediterranean grid → regional grid → coastal grid), a very high resolution was still required for the large scale WAM implementation in order to get a final resolution of about 400 m on the shores. In this study three regional areas in the Tyrrhenian Sea were selected, with a single coastal area embedded in each of them. The number of regional and coastal grids in the system could easily be modified without significantly affecting the efficiency of the system. The coastal system was tested in three Italian coastal regions in order to optimize the numerical parameters and to check the results in orographically complex zones for which wave records were available. Fifteen storm events in the period 2004–2009 were considered.
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Dissertations / Theses on the topic "Coastal system"

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Abbott, Victor James. "A regional coastal zone management system." Thesis, University of Plymouth, 2000. http://hdl.handle.net/10026.1/665.

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García, León Manuel. "Coastal risk forecast system : fostering proactive management at the Catalan coast." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/669662.

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The action of sea storms is one of the most complex littoral processes with deep management implications. Along the Catalan shoreline which is about 700 km long, 190 km are subject to erosion and/or flooding. Around one million people live in areas potentially affected. Sea Level Rise could exacerbate this problem in the near future. Reactive interventions have been the norm in coastal engineering and management. This dissertation proposes a pre-storm strategy that foster cost-effective eco-compatible measures, termed Quick Defence Measures (QDM). Pre-storm intervention requires to forecast the future post-storm state. Hence, the main objective of this thesis is to assess present coastal risk through a Coastal Early Warning System (CEWS), termed LIM-COPAS, that forecasts the more relevant episodic coastal hazards at the area. LIM-COPAS consists of four modules: (i) meteorological model; (ii) wave generation/propagation code; (iii) coupled morpho-hydrodynamic model and (iv) risk module via non-stationary multivariate probabilistic models. The performance of this suite of models has been tested with (i) a set of hindcast events and (ii) synthetic storm conditions. The hindcasted events have been: December 2008 (D-08); October-2015 (O-15); November 2015 (N-15); January 2016 (J-16); February 2016 (F-16); December 2016 (D-16) and January 2017 (J-17). In D-08, errors in nearshore spectral wave parameters have been about twice than those in the offshore area. The error was around 20% in hydrodynamics and 50% in morphodynamics. The post-storm response has been acceptably reproduced, with a Brier Skill Score near 0.4. LIM-COPAS has shown good accuracy with high return period events (i.e. Tr,waves > 10 yrs, D-16 and J-17), but lower agreement was found for milder storms (i.e. O-15 and F-16). The meteorological module provided wind fields that were systematically overestimated. The integrated Mean Bias (MB) was -1.52 ± 0.78 m/s. Tarragona (Coefficient of Efficiency, COE = 0.27 ± 0.13) and Begur (COE = 0.29 ± 0.17) had metrics above the average value (COE = 0.24 ± 0.14); but lower agreement was found at Mahón (COE = 0.13 ± 0.16) and Dragonera. Wave metrics were more accurate than for the wind fields. The integrated Hs COE was 0.52±0.12 and Tm02 COE was 0.36±0.14. At the central coast, Hs has presented good metrics: low MB (-0.06 ± 0.08 m) and high COE (0.58 ± 0.11). The northern coast metrics were the most stable. The newly developed risk module has been implemented at 79 beaches. Erosion has been estimated as a bounded cost, whereas flooding as a high upside cost. Dissipative beaches tend to exhibit higher costs than reflective beaches under high sea levels. Tr,waves < 10 yrs events joint with storm-surges can lead to significant damage costs. The estimated losses for the N-15 event (2510·10^3 euros) do not differ excessively from J-17 (3200·10^3 euros). Two types of QDM have been numerically tested: (i) sand dunes and (ii) geotextile detached breakwaters. The benefits from maintaining the sand volumes outperform the flooding cost reduction. In general terms, the detached breakwater can be a suitable option for beaches in an intermediate morphodynamic state against low to moderate sea levels and high wave return periods. At dissipative beaches, dunes are the best option, but they require a minimum beach width (around 30 m) that ensures their lifetime. QDM functionality can be enhanced with compatible long-term actions (nourishments, sand bypasses, submerged vegetation, etc.). A healthy beach state is paramount for the QDM effectiveness. A higher sustainable management under present and future climate can be reached with the joint combination of (i) CEWS as a short-term forecasting tool; (ii) QDM that mitigate storm impacts and (iii) long-term interventions that improves the beach health.<br>La acción de los temporales de mar es uno de los procesos litorales más complejos, con profundas implicaciones en la gestión del litoral. A lo largo de la línea de costa catalana, 190 km están sometidos a erosión y/o inundación. Cerca de un millón de personas viven en áreas potencialmente afectadas. La tradición en ingeniería y gestión costera han sido intervenciones reactivas. Esta tesis propone una estrategia pre-tormenta que fomente una serie de medidas eco-compatibles, denominadas Medidas de Acción Rápida (MAR). Las intervenciones pre-tormenta requieren predecir el estado post-temporal de la costa. Por tanto, el principal objetivo de esta tesis es evaluar el riesgo costero episódico mediante un Sistema de Alarma Temprana Costero (CEWS), denominado LIM-COPAS, que predice las peligrosidades costeras más relevantes en dicha área. LIM-COPAS consiste de cuatro módulos: (i) modelo meteorológico; (ii) código de generación/propagación del oleaje; (iii) modelo acoplado morfo-hidrodinámico y (iv) un módulo de riesgo vía modelos probabilísticos multivariantes y no-estacionarios. El comportamiento de estos módulos ha sido analizado mediante (i) una serie de eventos pasados y (ii) temporales sintéticos. Los eventos pasados han sido: Diciembre 2008 (D-08); Octubre 2015 (O-15); Noviembre 2015 (N-15); Enero 2016 (J-16); Febrero 2016 (F-16); Diciembre 2016 (D-16) y Enero 2017 (J-17). En D-08, los errores en los parámetros espectrales de oleaje costero han sido casi el doble que en mar abierto. El error ha sido del 20% en la hidrodinámica y del 50% en la morfodinámica. La respuesta post-temporal ha sido reproducida aceptablemente, con Brier Skill Score cercanos a 0.4. LIM-COPAS ha demostrado buena precisión con tormentas de alto período de retorno (i.e. Tr,waves _ 10 yrs, D-16 y J-17), pero menor concordancia fue encontrada para las tormentas moderadas (i.e. O-15 y F-16). El módulo meteorológico estimó campos de viento que fueron sistemáticamente sobreestimados. El Sesgo Medio (MB) integrado fue de −1,52 ± 0,78 m/s. Tarragona (Coeficiente de Eficiencia, COE = 0,27±0,13) y Begur (COE = 0,29±0,17) tuvieron métricas por encima de la media (COE = 0,24±0,14); no obstante, peor ajuste se encontró en Mahón (COE = 0,13 ± 0,16) y Dragonera. Las métricas de oleaje fueron más precisas que las del viento. Hs COE integrada fue 0,52±0,12 y Tm02 COE fue 0,36±0,14. En la costa central, Hs presentó buenas métricas: bajo MB (−0,06 ± 0,08 m) y alto COE (0,58 ± 0,11). Las métricas en la costa norte fueron las más estables. El módulo de riesgo ha sido implementado en 79 playas. La erosión se ha estimado como un coste acotado, mientras que la inundación como un coste con alta cota superior. Las playas disipativas tienden a exhibir mayores costes que las playas reflejantes bajo altos niveles del mar. Episodios con Tr,waves _ 10yrs, concomitantes a mareas meteorológicas pueden conllevar costes significantes. Las pérdidas estimadas para N-15 (2510 · 103euros) no difieren en exceso de J-17 (3200 · 103 euros). Dos tipos de MAR han sido testeadas numéricamente: (i) dunas y (ii) diques exentos constituídos por geotextiles llenos de arena. Los beneficios de mantener estables los volúmenes de arena superan la reducción de los costes por inundación. En términos generales, los diques exentos pueden ser una opción adecuada para playas de estado morfodinámico intermedio frente a oleaje de alto período de retorno y niveles del mar bajos a moderados. En playas disipativas, las dunas son la mejor opción, pero requieren un ancho mínimo de playa (cerca de 30 m) que garantice su vida útil. La funcionalidad de las MAR puede mejorarse mediante acciones compatibles a largo-plazo (alimentaciones, bypass de arena, vegetación sumergida, etc.). Un estado de playa saludable es esencial para la efectividad de las MAR. Una gestión más sostenible bajo clima presente y futuro puede ser alcanzada mediante (i) CEWS como herramienta de predicción a corto plazo; (ii) MAR que mitiguen los impactos de los temporales y (iii) intervenciones a largo-plazo que mejoren la salud de la costa.
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Zhao, Yanlai. "Integrated systems analysis for coastal aquaculture." Thesis, University of Ottawa (Canada), 2004. http://hdl.handle.net/10393/26824.

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This paper presents a model for the evaluation of coastal zone sites in conjunction with supporting decision making on the use of potential sites for aquaculture as well as other site activities including commercial fisheries, and as reserves for natural resources. The decision support model captures site specific data in the form of a geographical information system that overlays selected geographical regions with natural resource dynamics, habitat, commercial activities including aquaculture, and influence plumes including toxicology. Descriptive data for selected regions including system overlays and interactions are then evaluated to provide input to a multicriteria analysis that positions decision makers with respect to the relative importance of resources, habitat, commercial activities, and influence plumes. The model compares alternative evaluations of selected regions among diverse users., as well as providing a group decision evaluation procedure to assist in coastal zonal governance decision makers such as the awarding of fish farm site applications. The model is applied to the coastal zone of Grand Manan Island, New Brunswick situated in the Bay of Fundy.
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Delibas, Adem 1980. "A systems approach to managing nutrient pollution in Cape Cod's coastal waters." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/100359.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 101-104).<br>Pressing problems are facing the coastal waters of the world due to the growing human activity. Increasing population and economic development around coastal areas have left many embayments throughout the world severely impaired. Excessive nutrient enrichment in water bodies, also known as nutrient pollution, is one of the leading impairments in coastal waters. Algal blooms, dead zones, and fish kills are spreading because of the nutrient pollution. This thesis presents a systems analysis of the nutrient pollution problem in the context of Cape Cod, Massachusetts, where the continuous degradation in coastal waters is considered as one of the greatest threats to the region's environmental and economic future. It proposes a system dynamics model created with a diverse stakeholder team to uncover the underlying system structure that has created the degradation in Cape Cod's coastal waters since 1960s. An important goal of this work was to support the development of a regional water quality management plan on Cape Cod by creating a shared understanding of the nutrient pollution problem across a wide range of stakeholders. Therefore, the proposed model was created with direct contributions of a diverse stakeholder team including representatives from residents, local municipalities, regional authorities, the state government, and the U.S Environmental Protection Agency. In addition to identifying the causal structure of the system through a set of qualitative diagrams, this thesis also proposes a formal simulation model and presents results of an in-depth policy analysis exploring how the degradation in Cape Cod's coastal waters could evolve under different future scenarios. Both the model-building process and the simulation experiments reveal several critical insights, including nonlinearity of the system behavior, delay in the system's response to interventions, and the importance of timely actions.<br>by Adem Delibaş.<br>S.M. in Engineering and Management
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Caton, Brian. "The conservation of scenic coasts : an examination of the English heritage system and its possible use in South Australia /." Title page, contents and abstract only, 1991. http://web4.library.adelaide.edu.au/theses/09ENV/09envc366.pdf.

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Soderstrom, Grant William. "A model for the evaluation and improvement of a coastal defense system." Master's thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-01202010-020309/.

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Cremonini, Edoardo. "Performance and monitoring of innovative coastal defense works." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Beach protection is today emerging as one of the most relevant environmental issues at the global level. The increasing vulnerability of beaches to human impact and the effect of climate change are determining an increasing risk which implies a significant socioeconomic threat. In fact, erosion of beaches and coastlines is observed with increasing frequency, with implications on the societal resilience to natural hazards. Several different techniques can be applied for protecting beaches and the seashore, ranging from structural methods to green and innovative solutions that are the subject of increasing attention in recent times. The aim of this thesis is to study innovative defense works against the erosion of the coast: in particular, the study focused on a submerged concrete barrier prototype, called WMESH, whose first modules have been recently installed in an area of the sea bad of the Emilia-Romagna coast. It is a permeable submerged barrier made up of reinforced concrete with a geometry that can dissipate a substantial portion of the wave energy, to promote the sand flow down to the shore and counteract its return. The first monitoring of the positioned modules and statistical tests on the wave and tide conditions in the affected area were performed in order to see the structure's response. These tests allowed to perform computer simulations with the 2D MIKE 21 program: the obtained results show that the structure responds positively, creating a reduction in the significant wave height and generating a sediment accumulation area in the area surrounding it.
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Ibrahim, Hossam Mohamed Samir Abdel Salam. "Towards an integrated coastal zone management system : the Egyptian experience." Thesis, University of Liverpool, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.539574.

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Barnes, Natalie. "The nematode ecology of a UK coastal saline lagoon system." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402227.

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Hartt, Maxwell. "Geographic Information Systems and System Dynamics - Modelling the Impacts of Storm Damage on Coastal Communities." Thesis, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/19817.

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A spatial-temporal model is developed for modelling the impacts of simulated coastal zone storm surge and flooding using a combined spatial mapping and system dynamics approach. By coupling geographic information systems (GIS) and system dynamics, the interconnecting components of the spatial-temporal model are used with limited historical data to evaluate storm damage. Overlapping cumulative effects layers in GIS (ArcMap) are used for describing the coastal community’s profile, and a system dynamics feedback model (STELLA) is developed to define the interconnecting component relationships of the community. The component-wise changes to the physical environment, community infrastructure, and socioeconomic resources from the storm surge and seal level rise are examined. These changes are used to assess the impacts of the community system as a whole. For the purpose of illustrating this model, the research is applied specifically to the case of Charlottetown, Prince Edward Island, Canada, a vulnerable coastal city subject to considerable impacts from pending sea level rise and more frequent severe storm surge attributed to the changing climate in the coastal zone.
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Books on the topic "Coastal system"

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U.S. Fish and Wildlife Service. Coastal barrier resources system: Draft [maps]. The Service, 1990.

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O'Connell, James Francis. Coastal landform system sustainability project: An analysis of activities permitted on coastal landforms on Cape Cod, Massachusetts in 1999. Woods Hole Oceanographic Institution, 2000.

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McAneny, Danielle S. Coastal Engineering Data Retrieval System (CEDRS). U.S. Army Engineer Waterways Experiment Station, 1995.

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Ebersole, Bruce A. Regional coastal processes numerical modeling system. U.S. Army Engineer Waterways Experiment Station, 1986.

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Raphael, C. Nicholas. Report to Congress, Coastal Barrier Resources System.: Summary report. U.S. Dept. of the Interior, 1988.

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United States. National Park Service. Coastal Barriers Study Group. Report to Congress, Coastal Barrier Resources System. The Group, 1988.

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Group, United States National Park Service Coastal Barriers Study. Report to Congress, Coastal Barrier Resources System. The Group, 1988.

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United States. National Park Service. Coastal Barriers Study Group. Report to Congress, Coastal Barrier Resources System. The Group, 1988.

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United States. National Park Service. Coastal Barriers Study Group. Report to Congress, Coastal Barrier Resources System. The Group, 1988.

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United States. National Park Service. Coastal Barriers Study Group. Report to Congress, Coastal Barrier Resources System. The Group, 1988.

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Book chapters on the topic "Coastal system"

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White, I. D., D. N. Mottershead, and S. J. Harrison. "The coastal system." In Environmental Systems. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4613-0435-7_16.

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Lakhan, Chris. "8 Modelling the coastal system." In Coastal zone management. Thomas Telford Ltd, 2010. http://dx.doi.org/10.1680/czm.35164.0008.

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Hartevelt, Jaap J. A. "Geodata management system, a computerized data base for geotechnical engineering." In Coastal Lowlands. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-017-1064-0_26.

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Tiepolt, Lars. "The “Geo-Information System Coast Mecklenburg-Vorpommern”." In Baltic Coastal Ecosystems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04769-9_23.

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Claudino-Sales, Vanda. "Belize Barrier Reef System, Belize." In Coastal World Heritage Sites. Springer Netherlands, 2018. http://dx.doi.org/10.1007/978-94-024-1528-5_66.

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Schwab, David J., and Keith W. Bedford. "The Great Lakes Forecasting System." In Coastal and Estuarine Studies. American Geophysical Union, 1999. http://dx.doi.org/10.1029/ce056p0157.

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Vallega, Adalberto. "The Coastal Decision-Making System." In The GeoJournal Library. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-1640-6_10.

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Tarazona, J., and W. Arntz. "The Peruvian Coastal Upwelling System." In Ecological Studies. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04482-7_17.

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Davis, Richard A. "Morphodynamics of the West-Central Florida barrier system: the delicate balance between wave- and tide-domination." In Coastal Lowlands. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-017-1064-0_15.

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Costa, Stéphane, Pauline Letortu, and Benoit Laignel. "The Hydro-sedimentary System of the Upper-Normandy Coast: Synthesis." In Coastal Research Library. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9260-8_6.

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Conference papers on the topic "Coastal system"

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Melby, Jeffrey A., Fatima Diop, Norberto C. Nadal-Caraballo, Debra Green, and Victor Gonzalez. "Coastal Hazards System." In Coastal Structures and Solutions to Coastal Disasters Joint Conference 2015. American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480304.023.

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Kamphuis, J. William. "COASTAL SYSTEM RESILIENCE." In Proceedings of the 31st International Conference. World Scientific Publishing Company, 2009. http://dx.doi.org/10.1142/9789814277426_0357.

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Sabino, André, Armanda Rodrigues, Pedro Poseiro, Maria Teresa Reis, Conceição J. Fortes, and Rui Reis. "Coastal Risk Forecast System." In 1st International Conference on Geographical Information Systems Theory, Applications and Management. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005469902010209.

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Puschell, Jeffery J., and Stephen J. Schiller. "Coastal water camera system." In SPIE Optical Engineering + Applications, edited by Philip E. Ardanuy and Jeffery J. Puschell. SPIE, 2016. http://dx.doi.org/10.1117/12.2242300.

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Dwarakish, G. S., Dinakar Shetty, Rajarama Rao, Jagadeesh Pai, and Usha Natesan. "Integrated coastal zone management plan and coastal zone information system for Mangalore Coast, west coast of India." In Asia-Pacific Remote Sensing Symposium, edited by Robert J. Frouin, Vijay K. Agarwal, Hiroshi Kawamura, Shailesh Nayak, and Delu Pan. SPIE, 2006. http://dx.doi.org/10.1117/12.698179.

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Antunes do Carmo, J. S., C. S. Reis, and H. Freitas. "Successful rehabilitation of a sand dune system." In COASTAL ENVIRONMENT 2006. WIT Press, 2006. http://dx.doi.org/10.2495/cenv060191.

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Massey, T. Chris, Ty V. Wamsley, and Mary A. Cialone. "Coastal Storm Modeling-System Integration." In Solutions to Coastal Disasters Conference 2011. American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41185(417)10.

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Mendieta, Miguel Angel Alatorre, Rodolfo Silva Casarín, Francisco Ruiz Renteria, and Martin Merino Ibarra. "A Flushing System to Clean up Coastal Lagoons." In Coastal Structures 2003. American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40733(147)74.

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Fernández-Hermida, X., C. Durán-Neira, M. D. Lago-Reguera, I. Posse-García, and F. Martín-Rodríguez. "Is the HidroboyaTMa suitable system to read water parameters?" In COASTAL PROCESSES 2013. WIT Press, 2013. http://dx.doi.org/10.2495/cp130151.

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Archetti, Renata, Matteo Tirindelli, and Alberto Lamberti. "Field Measurements of Hydrodynamics Around a Beach Defence System." In Coastal Structures 2003. American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40733(147)55.

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Reports on the topic "Coastal system"

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Sanchez, Alex, and Honghai Li. Coastal Modeling System. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada622107.

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Fox, Daniel N. Relocatable Coastal Modeling System. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada630769.

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Weidemann, Alan, and Kimberley Davis-Lunde. Ocean Response Coastal Analysis System. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada516312.

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Weidemann, Alan, and Kimberley Davis-Lunde. Ocean Response Coastal Analysis System. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada628202.

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Fox, Daniel N. Relocatable Shipboard Coastal Modeling System. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada634725.

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Weidemann, Alan, and Kimberley Davis-Lunde. Ocean Response Coastal Analysis System. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada629157.

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Donaghay, Percy L., and Margaret M. Dekshenieks. Ocean Response Coastal Analysis System. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada626575.

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Touzinsky, Katherine, and Julie Rosati. USACE-ERDC Coastal System Resilience research. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/31353.

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Greene, Richard M. Ocean Response Coastal Analysis System (ORCAS). Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada627986.

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Leenknecht, David A., Andre Szuwalski, and Ann R. Sherlock. Automated Coastal Engineering System: User's Guide. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada637824.

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