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  • © 2014

Computational Intelligence Techniques in Earth and Environmental Sciences

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  • Compiles a collection of recent developments of computational intelligence techniques in earth and environmental sciences

  • Discusses applications of computational intelligence techniques to find solutions to environmental problems

  • Discusses the trends of new and emerging computational intelligence techniques, especially the use of hybrid approaches to deal with new and emerging environmental problems

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  • ISBN: 978-94-017-8642-3
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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xv
  2. General

    1. Front Matter

      Pages 1-1
  3. Classical Intelligence Techniques in Earth and Environmental Sciences

    1. Front Matter

      Pages 27-27
    2. Vector Autoregression (VAR) Modeling and Forecasting of Temperature, Humidity, and Cloud Coverage

      • Md. Abu Shahin, Md. Ayub Ali, A. B. M. Shawkat Ali
      Pages 29-51
    3. Exploring the Behavior and Changing Trends of Rainfall and Temperature Using Statistical Computing Techniques

      • Abdus Salam Azad, Md. Kamrul Hasan, M. Arif Imtiazur Rahman, Md. Mustafizur Rahman, Nashid Shahriar
      Pages 53-78
    4. Time Series Model Building and Forecasting on Maximum Temperature Data

      • Amrina Ferdous, Md. Abu Shahin, Md. Ayub Ali
      Pages 79-91
    5. GIS Visualization of Climate Change and Prediction of Human Responses

      • P. K. Nag, Priya Dutta, Varsha Chorsiya, Anjali Nag
      Pages 93-105
  4. Probabilistic and Transforms Intelligence Techniques in Earth and Environmental Sciences

    1. Front Matter

      Pages 107-107
    2. Markov Chain Analysis of Weekly Rainfall Data for Predicting Agricultural Drought

      • A. T. M. Jahangir Alam, M. Sayedur Rahman, A. H. M. Sadaat
      Pages 109-128
    3. Forecasting Tropical Cyclones in Bangladesh: A Markov Renewal Approach

      • Md. Asaduzzaman, A. H. M. Mahbub Latif
      Pages 129-140
    4. Performance of Wavelet Transform on Models in Forecasting Climatic Variables

      • Md. Jahanur Rahman, Md. Al Mehedi Hasan
      Pages 141-154
    5. Analysis of Inter-Annual Climate Variability Using Discrete Wavelet Transform

      • Md. Khademul Islam Molla, A. T. M. Jahangir Alam, Munmun Akter, A. R. Shoyeb Ahmed Siddique, M. Sayedur Rahman
      Pages 155-171
  5. Hybrid Intelligence Techniques in Earth and Environmental Sciences

    1. Front Matter

      Pages 173-173
    2. Prediction of Local Scour Depth Downstream of Bed Sills Using Soft Computing Models

      • A. Zahiri, H. Md. Azamathulla, Kh. Ghorbani
      Pages 197-208
    3. Evaluation of Wavelet-Based De-noising Approach in Hydrological Models Linked to Artificial Neural Networks

      • Vahid Nourani, Aida Hosseini Baghanam, Aida Yahyavi Rahimi, Farzad Hassan Nejad
      Pages 209-241
  6. Back Matter

    Pages 265-266

About this book

Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered are divided into three categories - classical intelligence techniques, probabilistic and transforms intelligence techniques, and hybrid intelligence techniques. Further topics given treatment in this volume include meteorology, atmospheric modeling, climate change, water resources engineering, and hydrological modeling.

By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists, and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.

Keywords

  • artificial intelligence
  • environmental science
  • numerical modeling

Reviews

“Computational Intelligence Techniques in Earth and Environmental Sciences provides a good introductory to advanced summary of computational intelligence for complex environmental problems. It provides definitions of methods and approaches, and also includes examples where they have been applied to solve complex big data problems. Readers will find that this book helps them to understand the processes involved for environmental related complex problems, which is the purpose of computational intelligence from the outset.” (Jeff Thurston, 3dvisworld.com, March, 2014)

Editors and Affiliations

  • NOAA/NESDIS Center for Satellite Applications and Research, College Park, MD, USA, Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA, Fort Collins, USA

    Tanvir Islam

  • NASA Goddard Space Flight Center, Greenbelt & ESSIC, University of Maryland College Park, MD, USA, Greenbelt, USA

    Prashant K. Srivastava

  • Department of Civil Engineering, IIT Delhi, Delhi, India

    Manika Gupta

  • School of Geog. and Env. Sciences, Monash University, Melbourne, Australia

    Xuan Zhu

  • School of Environmental Sciences Remote Sensing, Jawaharlal Nehru University, New Delhi, India

    Saumitra Mukherjee

About the editors

Dr. Tanvir Islam is working as a post-doctoral scientist with CIRA/CSU at the NOAA/NESDIS Center for Satellite Applications and Research (STAR), College Park, MD, USA. Before joining NOAA/NESDIS, he worked as a visiting scientist/research collaborator at the University of Tokyo, Japan. He finished his PhD from the Department of Civil Engineering, University of Bristol, UK. Dr. Prashant K. Srivastava worked as an assistant professor in Environmental Sciences at Sardar Patel University, Anand, Gujarat, India from June 2007 to Sep 2010. He finished his PhD under commonwealth plan in Remote Sensing from Department of Civil Engineering, University of Bristol, U.K. Currently, he is working as a research scientist for the SMAP satellite soil moisture retrieval at ESSIC/NASA Goddard Space Flight Center, Maryland, USA. Dr. Manika Gupta completed her PhD in Geo-Environmental pollution at the Department of Civil Engineering, IIT Delhi, India. Currently, she is working as a research consultant for satellite based slum area delineation. Dr. Xuan Zhu is a senior lecturer and director of the Centre for GIS at Monash University. Dr Zhu’s areas of expertise include GIS theory, techniques and applications, decision support systems for regional sustainable development and environmental decision analysis and modelling. Dr. Saumitra Mukherjee is a professor in Geology & Remote sensing, School of Environmental sciences, Jawaharlal Nehru University, New Delhi.

Bibliographic Information

  • Book Title: Computational Intelligence Techniques in Earth and Environmental Sciences

  • Editors: Tanvir Islam, Prashant K. Srivastava, Manika Gupta, Xuan Zhu, Saumitra Mukherjee

  • DOI: https://doi.org/10.1007/978-94-017-8642-3

  • Publisher: Springer Dordrecht

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: Springer Science+Business Media Dordrecht 2014

  • Hardcover ISBN: 978-94-017-8641-6

  • Softcover ISBN: 978-94-024-0239-1

  • eBook ISBN: 978-94-017-8642-3

  • Edition Number: 1

  • Number of Pages: XV, 266

  • Number of Illustrations: 39 b/w illustrations, 50 illustrations in colour

  • Topics: Environmental Sciences, Earth System Sciences

Buying options

eBook
USD 99.00
Price excludes VAT (USA)
  • ISBN: 978-94-017-8642-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 129.00
Price excludes VAT (USA)
Hardcover Book
USD 129.00
Price excludes VAT (USA)