Computational Intelligence Techniques in Earth and Environmental Sciences

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

Table of contents

  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. Md. Abu Shahin, Md. Ayub Ali, A. B. M. Shawkat Ali
      Pages 29-51
    3. Abdus Salam Azad, Md. Kamrul Hasan, M. Arif Imtiazur Rahman, Md. Mustafizur Rahman, Nashid Shahriar
      Pages 53-78
    4. Amrina Ferdous, Md. Abu Shahin, Md. Ayub Ali
      Pages 79-91
    5. 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. A. T. M. Jahangir Alam, M. Sayedur Rahman, A. H. M. Sadaat
      Pages 109-128
    3. Md. Asaduzzaman, A. H. M. Mahbub Latif
      Pages 129-140
    4. Md. Jahanur Rahman, Md. Al Mehedi Hasan
      Pages 141-154
    5. 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. A. Zahiri, H. Md. Azamathulla, Kh. Ghorbani
      Pages 197-208
    3. 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.


artificial intelligence environmental science numerical modeling

Editors and affiliations

  • Tanvir Islam
    • 1
  • Prashant K. Srivastava
    • 2
  • Manika Gupta
    • 3
  • Xuan Zhu
    • 4
  • Saumitra Mukherjee
    • 5
  1. 1.NOAA/NESDIS Center for Satellite Applications and Research, College Park, MD, USACooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USAFort CollinsUSA
  2. 2.NASA Goddard Space Flight Center, Greenbelt & ESSICUniversity of Maryland College Park, MD, USAGreenbeltUSA
  3. 3.Department of Civil EngineeringIIT DelhiDelhiIndia
  4. 4.School of Geog. and Env. SciencesMonash UniversityMelbourneAustralia
  5. 5.School of Environmental Sciences Remote SensingJawaharlal Nehru UniversityNew DelhiIndia

Bibliographic information