Quantitative Information Fusion for Hydrological Sciences

  • Xing Cai
  • T. -C. Jim Yeh

Part of the Studies in Computational Intelligence book series (SCI, volume 79)

About this book


In a rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? This book takes the angle of computational hydrology and
envisions one of the future directions, namely, quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.
Intelligent computation and information fusion are the key words. The aim is to provide both established scientists and graduate students with a summary of recent developments in this topic. The chapters of this edited volume cover some of the most important ingredients for quantitative hydrological information fusion, including data fusion techniques, interactive computational environments, and supporting mathematical and numerical methods. Real-life applications of hydrological information fusion are also addressed.


Groundwater Hydrological Sciences Quantitative Information Fusion hydrogeology hydrology modeling numerical methods

Editors and affiliations

  • Xing Cai
    • 1
    • 2
  • T. -C. Jim Yeh
    • 3
  1. 1.Simula Research LaboratoryLysakerNorway
  2. 2.Department of InformaticsUniversity of OsloOsloNorway
  3. 3.Department of Hydrology and Water ResourcesThe University of ArizonaTucsonUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-75383-4
  • Online ISBN 978-3-540-75384-1
  • Series Print ISSN 1860-949X
  • Buy this book on publisher's site
Industry Sectors
Materials & Steel
Oil, Gas & Geosciences