Quanto conosciamo dell'oceano, grande protagonista dell'evoluzione della vita e delle attuali caratteristiche climatiche del nostro pianeta? Pochi sanno della sua reattività chimica, della sua alcalinità, dei sottili meccanismi che stanno alla base dei tanti equilibri e disequilibri chimici al suo interno. Il libro cerca di gettare luce sulle basi chimiche di questi fenomeni e sulla loro risoluzione matematica attraverso algoritmi relativamente semplici, comprensibili e spiegati in modo elementare. Sulla base di questo, vengono discusse alcune simulazioni, ma non solo, il lettore è messo in grado di effettuarne altre, sulla base dei programmi allegati. Si potranno così avere risposte scientifiche sui vari quesiti climatologici, come l'assorbimento e l'emissione di CO2, la formazione di carbonato di calcio negli oceani e altri aspetti di interesse e di attualità.
This publication draws upon the fields of science, economics and business strategy to chart the future of humankind's relationship to the ocean. A healthy ocean provides the basis for a prosperous world, and oceans have been largely ignored as a driver of human well-being until now. Ocean health has been in a serious state of decline for the past 100 years from a range of pressures including human population growth, energy consumption and use of natural resources. Humanity will exceed the resources and environmental conditions necessary to exist, within the next century if nothing changes. Solutions to these challenges lie not only in traditional resource conservation management, but in new fields of technology, governance and innovation.
Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. Intended for both students and established scientists, the fivemajor chapters of the book cover data acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and time series analysis methods. Chapter 5on time series analysis is a book in itself, spanning a wide diversity oftopics from stochastic processes and stationarity, coherence functions,Fourier analysis, tidal harmonic analysis, spectral and cross-spectralanalysis, wavelet and other related methods for processing nonstationarydata series, digital filters, and fractals. The seven appendices includeunit conversions, approximation methods and nondimensional numbers used ingeophysical fluid dynamics, presentations on convolution, statisticalterminology, and distribution functions, and a number of importantstatistical tables. Twenty pages are devoted to references. Featuring:• An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences.• A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data.• 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. In praise of the first edition: "(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...)The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No. 9, 1998 "(...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. Jay, 1999 "(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999 "(...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999
This book is a unique and authoritative review of chemical fronts in the ocean world. It includes regional chapters on chemical fronts in all major oceans (Atlantic, Indian, Pacific, Arctic, and Southern) and marginal seas (North Sea, Baltic Sea, Mediterranean Sea, Gulf of Mexico, Yellow Sea, and the East Siberian Sea). Thematic chapters focus on diverse topics such as cross-frontal transfer of nutrients; diapycnal mixing and its impact on nutrient fluxes in western boundary currents (Gulf Stream and Kuroshio); front-driven physical-biogeochemical-ecological interactions; dynamics of coloured dissolved organic matter; pollutant concentration and fish contamination in frontal zones; distribution of microplastics in the ocean, and Lagrangian methods to study the transport of marine litter. This volume will appeal to a broad audience, including researchers, instructors, students, and practitioners of all kinds involved in scientific and applied research, environment protection and conservation, and maritime industries including fisheries, aquaculture, and mining. Chapter "Lagrangian Methods for Visualizing and Assessing Frontal Dynamics of Floating Marine Litter with a Focus on Tidal Basins" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing why and not just how. Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study. Readers will find a comprehensive guide that is accessible to nonexperts; numerous examples and diverse applications from a broad range of domains, including geophysics and geophysical flows, environmental acoustics, medical imaging, mechanical and biomedical engineering, economics and finance, and traffic control and urban planning; and the latest methods for advanced data assimilation, combining variational and statistical approaches.
Fundamental Chemistry with MATLAB highlights how MATLAB can be used to explore the fundamentals and applications of key topics in chemistry. After an introduction to MATLAB, the book provides examples of its application in both fundamental and developing areas of chemistry, from atomic orbitals, chemical kinetics and gaseous reactions, to clean coal combustion and ocean equilibria, amongst others. Complimentary scripts and datasets are provided to support experimentation and learning, with scripts outlined. Drawing on the experience of expert authors, this book is a practical guide for anyone in chemistry who is interested harnessing scripts, models and algorithms of the MATLAB. - Provides practical examples of using the MATLAB platform to explore contemporary problems in chemistry - Outlines the use of MATLAB Simulink to produce block diagrams for dynamic systems, such as in chemical reaction kinetics - Heavily illustrated with supportive block-diagrams and both 2D and 3D MATLAB plots throughout
The tragic disappearance of the Malaysia Airlines Flight MH370 has created a need for research in the areas of aircraft transportation, and specifically flight debris tracking. As researchers and scientists continue to search for novel technologies that will assist with aeronautical detection, two modes have emerged as possible solutions. The use of remote sensing technology and genetic algorithms are techniques that scientists are beginning to use to improve aircraft trajectory models and to locate downed aircraft. Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris is an essential reference source that discusses developing tracking methods using advanced algorithms as well as satellite technologies. Featuring research on topics such as wave pattern modeling, microwave satellite data, and trajectory movement, this book is ideally designed for practitioners, researchers, oceanographers, aerospace engineers, scientists, educators, developers, analysts, and students seeking coverage on advancements in sensor and tracking technology in regard to flight dynamics.
The proliferation of harmful phytoplankton in marine ecosystems can cause massive fish kills, contaminate seafood with toxins, impact local and regional economies and dramatically affect ecological balance. Real-time observations are essential for effective short-term operational forecasting, but observation and modelling systems are still being developed. This volume provides guidance for developing real-time and near real-time sensing systems for observing and predicting plankton dynamics, including harmful algal blooms, in coastal waters. The underlying theory is explained and current trends in research and monitoring are discussed.Topics covered include: coastal ecosystems and dynamics of harmful algal blooms; theory and practical applications of in situ and remotely sensed optical detection of microalgal distributions and composition; theory and practical applications of in situ biological and chemical sensors for targeted species and toxin detection; integrated observing systems and platforms for detection; diagnostic and predictive modelling of ecosystems and harmful algal blooms, including data assimilation techniques; observational needs for the public and government; and future directions for research and operations.
