Environmental Modelling: An Uncertain Future?Paperback
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- Publisher: Taylor & Francis Ltd
- Format: Paperback | 328 pages
- Dimensions: 173mm x 244mm x 18mm | 635g
- Publication date: 1 November 2008
- Publication City/Country: London
- ISBN 10: 0415457599
- ISBN 13: 9780415457590
- Edition: 1
- Edition statement: New.
- Illustrations note: 1 black & white tables, 6 black & white halftones, 69 black & white line drawings
- Sales rank: 378,343
Uncertainty in the predictions of science when applied to the environment is an issue of great current relevance in relation to the impacts of climate change, protecting against natural and man-made disasters, pollutant transport and sustainable resource management. However, it is often ignored both by scientists and decision makers, or interpreted as a conflict or disagreement between scientists. This is not necessarily the case, the scientists might well agree, but their predictions would still be uncertain and knowledge of that uncertainty might be important in decision making. Environmental Modelling: An Uncertain Future? introduces students, scientists and decision makers to: * the different concepts and techniques of uncertainty estimation in environmental prediction * the philosophical background to different concepts of uncertainty * the constraint of uncertainties by the collection of observations and data assimilation in real-time forecasting * techniques for decision making under uncertainty. This book will be relevant to environmental modellers, practitioners and decision makers in hydrology, hydraulics, ecology, meteorology and oceanography, geomorphology, geochemistry, soil science, pollutant transport and climate change. A companion website for the book can be found at www.uncertain-future.org.uk
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Keith Beven is Professor of Hydrology and Fluid Dynamics at Lancaster University. While finishing this book he was at Uppsala University in Sweden as Konung Carl XVI Gustafs Gastprofessor i Miljovetenskap 2006/07.
Table of contents
1. How to Make Predictions 2. A Philosophical Diversion 3. Simulation with No Historical Data Available 4. Simulation with Historical Data Available 5. Forecasting the Near Future 6. Decision Making When Faced with Uncertainty 7. An Uncertain Future?