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Artificial Intelligence Methods in the Environmental Sciences

Editors: Haupt, Sue Ellen, Pasini, Antonello, Marzban, Caren (Eds.)

  • Includes tutorials that help make this an excellent classroom text
  • Describes state-of-the-art environmental applications of AI
  • Features tutorials that introduce primary AI techniques
  • Contains example applications of the techniques
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eBook $139.00
price for USA (gross)
  • ISBN 978-1-4020-9119-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-1-4020-9117-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence techniques, including:

-neural networks

-decision trees

-genetic algorithms

-fuzzy logic

Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems.

The book is a scientific as well as a cultural blend: one culture entwines ideas with a thread, while another links them with a red line. Thus, a “red thread” ties the book together and weaves the fabric of the methods into a tapestry that pictures the ‘natural’ data-driven artificial intelligence methods in the light of the more traditional modeling techniques.

The international authors, who are recognized major experts in their respective fields, bring to life ways to apply artificial intelligence to problems in the environmental sciences, demonstrating the power of these data-based methods.

About the authors

Dr. Sue Ellen Haupt is Head of the Department of Atmospheric and Oceanic Physics at the Applied Research Laboratory of The Pennsylvania State University and Associate Professor of Meteorology. She received her Ph.D. in Atmospheric Science from the University of Michigan, M.S. in Mechanical Engineering from Worcester Polytechnic Institute and B.S. in Meteorology from Penn State. In addition to PSU, she has worked at New England Electric System, the National Center for Atmospheric Research, University of Colorado/Boulder, University of Nevada, Reno, and Utah State University. Her research emphasizes applying novel numerical techniques to environmental and fluid dynamics problems.

Dr. Antonello Pasini is a senior researcher at the Institute of Atmospheric Pollution of the National Research Council in Rome, Italy. He received his Italian Laurea in Physics from University of Bologna and specialized in atmospheric physics and meteorology at the Italian Met Service according to WMO criteria. He is an expert of complex systems and neural network modelling and applies his studies to several environmental problems, with a particular emphasis to climate change applications.

Dr. Caren Marzban is a senior physicist at the Applied Physics Laboratory, and an instructor at the Department of Statistics, University of Washington. He received his Ph.D. in theoretical physics from the University of North Carolina, at Chapel Hill. The early segment of his research career was in quantum gravity and string theory, but then he saw the light and began learning and applying statistics and machine learning techniques to any problem he can get his hands on.

Table of contents (19 chapters)

  • Environmental Science Models and Artificial Intelligence

    Haupt, Sue Ellen (et al.)

    Pages 3-13

  • Basic Statistics and Basic AI: Neural Networks

    Marzban, Caren

    Pages 15-47

  • Performance Measures and Uncertainty

    Marzban, Caren

    Pages 49-75

  • Decision Trees

    Dattatreya, G. R.

    Pages 77-101

  • Introduction to Genetic Algorithms

    Haupt, Sue Ellen

    Pages 103-125

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-1-4020-9119-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-1-4020-9117-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Intelligence Methods in the Environmental Sciences
Editors
  • Sue Ellen Haupt
  • Antonello Pasini
  • Caren Marzban
Copyright
2009
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-1-4020-9119-3
DOI
10.1007/978-1-4020-9119-3
Hardcover ISBN
978-1-4020-9117-9
Edition Number
1
Number of Pages
VIII, 424
Topics