Overview
- Covering the whole range of topics related to oil pollution problems
- Truly interdisciplinary
- Both academics and industry involved
- Includes supplementary material: sn.pub/extras
Part of the book series: The Reacting Atmosphere (REAT, volume 2)
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
Written by outstanding experts in the fields of marine engineering, atmospheric physics and chemistry, fluid dynamics and applied mathematics, the contributions in this book cover a wide range of subjects, from pure mathematics to real-world applications in the oil spill engineering business. Offering a truly interdisciplinary approach, the authors present both mathematical models and state-of-the-art numerical methods for adequately solving the partial differential equations involved, as well as highly practical experiments involving actual cases of ocean oil pollution. It is indispensable that different disciplines of mathematics, like analysis and numerics, together with physics, biology, fluid dynamics, environmental engineering and marine science, join forces to solve today’s oil pollution problems.
The book will be of great interest to researchers and graduate students in the environmental sciences, mathematics and physics, showing the broad range of techniques needed in order to solve these pollution problems; and to practitioners working in the oil spill pollution industry, offering them a professional reference resource.
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical Modelling and Numerical Simulation of Oil Pollution Problems
Editors: Matthias Ehrhardt
Series Title: The Reacting Atmosphere
DOI: https://doi.org/10.1007/978-3-319-16459-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015
Softcover ISBN: 978-3-319-16458-8Published: 25 March 2015
eBook ISBN: 978-3-319-16459-5Published: 10 March 2015
Series ISSN: 2199-1138
Series E-ISSN: 2199-1146
Edition Number: 1
Number of Pages: X, 166
Number of Illustrations: 14 b/w illustrations, 44 illustrations in colour
Topics: Computational Science and Engineering, Environmental Science and Engineering, Terrestrial Pollution, Offshore Engineering, Theoretical, Mathematical and Computational Physics, Organic Chemistry