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Simulation models are an established method used to investigate processes and solve practical problems in a wide variety of disciplines. Central to the concept of this second edition is the idea that environmental systems are complex, open systems. The authors present the diversity of approaches to dealing with environmental complexity and then encourage readers to make comparisons between these approaches and between different disciplines.
Environmental Modelling: Finding Simplicity in Complexity 2nd edition is divided into four main sections:
The second edition evolves from the first by providing additional emphasis and material for those students wishing to specialize in environmental modelling. This edition:
- Focuses on simplifying complex environmental systems.
- Reviews current software, tools and techniques for modelling.
- Gives practical examples from a wide variety of disciplines, e.g. climatology, ecology, hydrology, geomorphology and engineering.
- Has an associated website containing colour images, links to WWW resources and chapter support pages, including data sets relating to case studies, exercises and model animations.
This book is suitable for final year undergraduates and postgraduates in environmental modelling, environmental science, civil engineering and biology who will already be familiar with the subject and are moving on to specialize in the field. It is also designed to appeal to professionals interested in the environmental sciences, including environmental consultants, government employees, civil engineers, geographers, ecologists, meteorologists, and geochemists.
- Sales Rank: #1870108 in Books
- Brand: Brand: Wiley
- Published on: 2013-04-01
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x 1.10" w x 7.70" l, 2.20 pounds
- Binding: Hardcover
- 494 pages
- Used Book in Good Condition
Review
“Those caveats aside, this book will provide an interesting and stimulating read for scientists with some familiarity with modelling who want to extend their understanding and to see how modelling has been usefully applied across a very wide range of problems in environmental science.” (European Journal of Soil Science, 1 December 2013)
“Summing Up: Recommended. Graduate students, researchers/faculty, and professionals/practitioners.” (Choice, 1 January 2014)
“To conclude, the book offers important information on how to use models to develop our understanding of the processes that form the environment around us.” (Environmental Engineering and Management Journal, 1 April 2013)
From the Back Cover
Simulation models are an established method used to investigate processes and solve practical problems in a wide variety of disciplines. Central to the concept of this second edition is the idea that environmental systems are complex, open systems. The authors present the diversity of approaches to dealing with environmental complexity and then encourage readers to make comparisons between these approaches and between different disciplines.
Environmental Modelling: Finding Simplicity in Complexity 2nd edition is divided into four main sections:
The second edition evolves from the first by providing additional emphasis and material for those students wishing to specialize in environmental modelling.
This book is suitable for final year undergraduates and postgraduates in environmental modelling, environmental science, civil engineering and biology who will already be familiar with the subject and are moving on to specialize in the field. It is also designed to appeal to professionals interested in the environmental sciences, including environmental consultants, government employees, civil engineers, geographers, ecologists, meteorologists, and geochemists.
This second edition:
- Focuses on simplifying complex environmental systems.
- Reviews current software, tools and techniques for modelling.
- Gives practical examples from a wide variety of disciplines, e.g. climatology, ecology, hydrology, geomorphology and engineering.
- Has an associated website containing colour images, links to WWW resources and chapter support pages, including data sets relating to case studies, exercises and model animations.
About the Author
John Wainwright is Professor in the Department of Geography at Durham University.
Mark Mulligan is Reader within the Dept of Geography at King's College, London.
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