Applications in Coastal Modeling

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Β· Elsevier Oceanography Series αžŸαŸ€αžœαž—αŸ…αž‘αžΈ 49 Β· Elsevier
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The importance of models to facilitate our understanding and management of the coastal system is evident from this book, which shows that the preference for using models to study the coastal system is shared not only by different research institutions (government, military, industry and academia), but also by researchers from diverse backgrounds. With contributions from several leading experts a variety of models - physical, analytical, numerical and computer simulation - are presented on various components of the coastal system.The book opens by examining the coast as a system, and provides an overview of models, systems concepts, and the systems approach. It next covers the simulation design process, stressing that modeling and simulation should form an interface between real-world processes, and the field of General Systems Theory. It is clearly shown that a system can be investigated with more than one type of model. For example, it is shown that waves can be studied with physical models, empirical and numerical models or with computer simulation models. Likewise, beaches can be investigated with physical, numerical or empirically-based models.The indispensability of models to enhance our understanding of coastal dynamics and associated component systems is emphasised. Mathematical modeling of rock coast development and the simulation of deltaic depositional systems are covered. A chapter on analytical modeling of predator-prey interactions highlights the fact that the coastal system also has biotic resources. Finally, problems which have to be overcome for the practical application of numerical and simulation models are discussed.The explanatory and detailed formulation of the various models, together with more than 100 figures, make this book worthwhile reading for senior undergraduates, graduate students, and all coastal researchers interested in the formulation and application of models of the coastal system.

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