Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Volume 2 Stochastic and Statistical Modelling with Groundwater and Surface Water Applications

  • Keith W. Hipel

Part of the Water Science and Technology Library book series (WSTL, volume 10/4)

Table of contents

  1. Front Matter
    Pages i-xix
  2. General Issues

  3. Groundwater

    1. Front Matter
      Pages 39-39
    2. A. W. Heemink, H. F. P. Van Den Boogaard
      Pages 41-54
    3. Maarten De Gee, Johan Grasman, Onno A. Van Herwaarden, Cees J. Van Der Hoek, Jaco J. A. Van Kooten
      Pages 99-112
    4. H. Yasuda, R. Berndtsson, A. Bahri, H. Persson, A. Gullberg, K. Jinno
      Pages 127-138
    5. Yanyong Xiang, Neil R. Thomson, Jonathan F. Sykes
      Pages 163-173
  4. Surface Water

    1. Front Matter
      Pages 185-185
    2. P. A. Zielinski, K. Ponnambalam
      Pages 187-195
    3. P. A. Blokland, A. W. Heemink.
      Pages 197-209
    4. R. C. Curi, T. E. Unny, K. W. Hipel, K. Ponnambalam
      Pages 211-223
    5. M. Fujita, N. Shinohara, T. Nakao, M. Kudo
      Pages 241-254
    6. David Fox, Yair Zarmi, Amos Zemel
      Pages 255-268
  5. Stochastic Optimization

  6. Moment Analysis

  7. Other Topics

    1. Front Matter
      Pages 323-323
    2. W. F. Curi, K. Ponnambalam, E. A. Mcbean
      Pages 325-337
    3. J. M. Angulo, A. S. Azari, R. H. Shumway, Z. T. Yucel
      Pages 353-365
  8. Back Matter
    Pages 367-372

About this book


World renowned scientists present valuable contributions to stochastic and statistical modelling of groundwater and surface water systems. The philosophy of probabilistic modelling in the hydrological sciences is put into proper perspective and the importance of stochastic differential equations in the environmental sciences is explained and illustrated. The new research ideas put forward in groundwater modelling will assist decision makers in tackling challenging problems such as controlling pollution of underground aquifers and obtaining adequate water supplies. Additionally, different types of stochastic models are used in modelling a range of interesting surface water problems. Other topics covered in this landmark volume include stochastic optimization, moment analysis, carbon dioxide modelling and rainfall prediction.

The book is of interest to researchers, teachers, students and practitioners who wish to be at the leading edge of stochastic and statistical modelling in the environmental sciences.


Controlling Groundwater Stochastic Differential Equations Stochastic Optimization Stochastic model Stochastic models calculus hydrology modeling optimization statistical method

Editors and affiliations

  • Keith W. Hipel
    • 1
  1. 1.Departments of Systems Design Engineering and Statistics and Actuarial ScienceUniversity of WaterlooWaterlooCanada

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1994
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-4467-7
  • Online ISBN 978-94-011-1072-3
  • Series Print ISSN 0921-092X
  • Buy this book on publisher's site