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Stochastic and Statistical Methods in Hydrology and Environmental Engineering

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

  • Book
  • © 1994

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Editors:
  1. Keith W. Hipel

    1. Departments of Systems Design Engineering and Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada

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

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-xix
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  3. Groundwater

    1. Front Matter

      Pages 39-39
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    2. Identification of Stochastic Dispersion Models

      • A. W. Heemink, H. F. P. Van Den Boogaard
      Pages 41-54

    3. Solving and Calibrating Groundwater Flow Systems with the Penalty Method

      • L. R. Bentley
      Pages 55-67

    4. Calibration of Groundwater Models by Optimization of Parameters in Homogeneous Geological Zones

      • Dominique Thiery
      Pages 69-82

    5. Stochastic Characterization of Aquifer Heterogeneity from Drill Log Data

      • A. I. Ali, U. Lall
      Pages 83-98

    6. Groundwater Contaminant Transport: Estimating the Pollution at a Well

      • Maarten De Gee, Johan Grasman, Onno A. Van Herwaarden, Cees J. Van Der Hoek, Jaco J. A. Van Kooten
      Pages 99-112

    7. Transport by Two-Dimensional Random Velocity Fields : Effective Dispersion Coefficients of a Finite Plume

      • Gedeon Dagan
      Pages 113-126

    8. Spatial Correlation Analysis of Two-Dimensional Solute Transport in the Unsaturated Zone

      • H. Yasuda, R. Berndtsson, A. Bahri, H. Persson, A. Gullberg, K. Jinno
      Pages 127-138

    9. Geostatistical Consideration on the Water Retention Volume and Pore Volume in Unsaturated Granular Material Composed of Various Particles

      • T. Nakao, M. Fujita
      Pages 139-149

    10. Derivation of a Distribution for the Piezometric Head in Groundwater Flow Using Entropy

      • D. E. Barbé, J. F. Cruise, V. P. Singh
      Pages 151-161

    11. L1 and L2 Estimators in Groundwater Problems: Parameter Estimates and Covariances

      • Yanyong Xiang, Neil R. Thomson, Jonathan F. Sykes
      Pages 163-173

    12. A Version of Dynamic-Stochastic Modelling of Hydrological Processes

      • Ye. M. Gusev
      Pages 175-183

  4. Surface Water

    1. Front Matter

      Pages 185-185
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    2. Computational Methods in Stochastic River Waters Quality Modeling

      • P. A. Zielinski, K. Ponnambalam
      Pages 187-195

    3. A Random Flight Model in General Coordinates

      • P. A. Blokland, A. W. Heemink.
      Pages 197-209
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Keywords

About this book

Objectives The current global environmental crisis has reinforced the need for developing flexible mathematical models to obtain a better understanding of environmental problems so that effective remedial action can be taken. Because natural phenomena occurring in hydrology and environmental engineering usually behave in random and probabilistic fashions, stochastic and statistical models have major roles to play in the protection and restoration of our natural environment. Consequently, the main objective of this edited volume is to present some of the most up-to-date and promising approaches to stochastic and statistical modelling, especially with respect to groundwater and surface water applications. Contents As shown in the Table of Contents, the book is subdivided into the following main parts: GENERAL ISSUES PART I PART II GROUNDWATER PART III SURFACE WATER PART IV STOCHASTIC OPTIMIZATION PART V MOMENT ANALYSIS PART VI OTHER TOPICS Part I raises some thought-provoking issues about probabilistic modelling of hydro­ logical and environmental systems. The first two papers in Part I are, in fact, keynote papers delivered at an international environmetrics conference held at the University of Waterloo in June, 1993, in honour of Professor T. E. Unny. In his keynote pa­ per, Dr. S. J. Burges of the University of Washington places into perspective the historical and future roles of stochastic modelling in hydrology and environmental engineering. Additionally, Dr. Burges stresses the need for developing a sound scien­ tific basis for the field of hydrology. Professor P. E.

Editors and Affiliations

  • Departments of Systems Design Engineering and Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada

    Keith W. Hipel

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