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Environmental Modelling: Finding Simplicity in Complexity

Environmental Modelling: Finding Simplicity in Complexity

Environmental Modelling: Finding Simplicity in Complexity
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Environmental Modelling: Finding Simplicity in Complexity Hardback - 2013 - 2nd Edition

by John Wainwright

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Wiley. Used - Good. Ships from UK in 48 hours or less (usually same day). Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. 100% money back guarantee. We are a world class secondhand bookstore based in Hertfordshire, United Kingdom and specialize in high quality textbooks across an enormous variety of subjects. We aim to provide a vast range of textbooks, rare and collectible books at a great price. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. We provide a 100% money back guarantee and are dedicated to providing our customers with the highest standards of service in the bookselling industry.
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Details

  • Title Environmental Modelling: Finding Simplicity in Complexity
  • Author John Wainwright
  • Binding Hardback
  • Edition number 2nd
  • Edition 2
  • Condition Used - Good
  • Pages 496
  • Volumes 1
  • Language ENG
  • Publisher Wiley, Hoboken NJ
  • Publication date 2013-03-08
  • Features Bibliography, Index, Maps, Table of Contents, Textbook
  • Bookseller's Inventory # Z1-B-035-01657
  • ISBN 9780470749111 / 0470749113
  • Weight 2.2 lbs (1.00 kg)
  • Dimensions 9.8 x 7.6 x 1.1 in (24.89 x 19.30 x 2.79 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Environmental sciences - Mathematical models
  • Library of Congress Catalogue Number 2012017568
  • Dewey Decimal Code 628

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Phatpocket Limited is a world class secondhand bookstore located in the Hertfordshire countryside in the United Kingdom. We specialize in textbooks across an enormous variety of subjects. We aim to provide a low cost source of high quality textbooks to the academic community. We also have a sizable collection of rare and collectible books.

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Reader reviews for Environmental Modelling: Finding Simplicity in Complexity

From the publisher

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:

  1. An overview of methods and approaches to modelling.
  2. State of the art for modelling environmental processes
  3. Tools used and models for management
  4. Current and future developments.

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.

From the rear cover

Second Edition
Environmental Modelling
Finding Simplicity in Complexity

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, Second Edition, is divided into four main sections:

    1. An overview of methods and approaches to modelling.
    2. State of the art for modelling environmental processes.
    3. Tools used and models for management.
    4. Current and future developments.

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.

Media reviews

Citations

  • Choice, 01/01/2014, Page 0

About the author

Editors

John Wainwright, Department of Geography, Durham University, UK

Mark Mulligan, Department of Geography, King's College London, UK

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