Artificial Intelligence Methods in the Environmental Sciences

  • Sue Ellen Haupt
  • Antonello Pasini
  • Caren Marzban

Table of contents

  1. Front Matter
    Pages i-viii
  2. Introduction to AI for Environmental Science

    1. Sue Ellen Haupt, Valliappa Lakshmanan, Caren Marzban, Antonello Pasini, John K. Williams
      Pages 3-13
    2. Caren Marzban
      Pages 49-75
    3. G. R. Dattatreya
      Pages 77-101
    4. Sue Ellen Haupt
      Pages 103-125
    5. John K. Williams
      Pages 127-151
    6. Michael B. Richman, Theodore B. Trafalis, Indra Adrianto
      Pages 153-169
  3. Applications of AI in Environmental Science

  4. Back Matter
    Pages 413-424

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.


Racter algorithms artificial intelligence fuzzy logic genetic algorithm image processing learning machine learning modeling neural network optimization proving reinforcement learning

Editors and affiliations

  • Sue Ellen Haupt
    • 1
  • Antonello Pasini
    • 2
  • Caren Marzban
    • 3
  1. 1.Applied Research LaboratoryPennsylvania State UniversityState CollegeUSA
  2. 2.Institute of Atmospheric PollutionNational Research CouncilMonterotondo StazioneItaly
  3. 3.Dept. of StatisticsUniversity of Washington and the Applied Physics LaboratorySeattleUSA

Bibliographic information