260 pages, 142 b/w illustrations
Systems and their mathematical description play an important role in all branches of science. Mathematical Modelling of Natural Systems offers an introduction to mathematical modeling techniques. It is intended for undergrad students in applied natural science, in particular earth and environmental science, environmental engineering, as well as ecology, environmental chemistry, chemical engineering, agronomy, and forestry.
The focus is on developing the basic methods of modeling. Students will learn how to build mathematical models of their own, but also how to analyze the properties of existing models. Mathematical Modelling of Natural Systems neither derives mathematical formulae, nor does it describe modeling software, instead focusing on the fundamental concepts behind mathematical models. A formulary in the appendix summarizes the necessary mathematical knowledge.
To support independent learners, numerous examples and problems from various scientific disciplines are provided throughout Mathematical Modelling of Natural Systems. Thanks in no small part to the cartoons by Nikolas Sturchler, this introduction to the colorful world of modeling is both entertaining and rich in content.
2. Mathematical models
3. Static models
4. Linear one dimensional models
5. Linear multi dimensional Models
6. Non-linear models
7. Time discrete models
8. Models in time and space
A. List of symbols
B. Dimensions and units
E. Time-dependent diffusion equation
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Dieter Imboden is Professor of Environmental Physics. His research concerns the study of physical processes in aquatic systems as well as problems of energy and climate politics. He is President of the Research Council of the Swiss National Science Foundation (SNSF).
Stefan Pfenninger joined IIASA's Risk, Policy and Vulnerability Program (RPV) in January 2010. He is contributing to RPV's research on resilience, adaptation and renewable energy. Stefan holds a BSc in Environmental Science from ETH Zurich and an MSc in Environmental Technology from Imperial College London.