Synopses & Reviews
Stochastic Subsurface Hydrogeology is the study of subsurface, geological heterogeneity, and its effects on flow and transport process, using probabilistic and geostatistical concepts. This book presents a rational, systematic approach for analyzing and modeling subsurface heterogeneity, and for modeling flow and transport in the subsurface, and for prediction and decision-making under uncertainty. The book covers the fundamentals and practical aspects of geostatistics and stochastic hydrogeology, coupling theoretical and practical aspects, with examples, case studies and guidelines for applications, and provides a summary and review of the major developments in these areas.
Review
"Practitioners, researchers, professors, and graduate students in hydrogeology and engineering will find that this book is intuitive, valuable, and applicable. . . Applied Stochastic Hydrogeology is unique and the most comprehensive reference book on this subject. It covers the fundamental and practical aspects of geostatistics and stochastic hydrogeology with many examples, case studies, and guidelines for applications."--EOS
Synopsis
Includes bibliographical references (p. 357-384) and index.
Table of Contents
1. Introduction
2. Fundamentals of Stochastic Site Characterization
3. Estimation and Simulation
4. Moments of the Flow Variables, Part I: The Flow Equation and the Hydraulic Head
5. Moments of the Flow Variables, Part II: The Effective Conductivity
6. Upscaling, Computational Aspects, and Statistics of the Velocity Field
7. An Overview of Stochastic Tools for Modeling Transport of Tracers in Heterogeneous Media
8. The Eulerian Picture: Principles of the Eulerian Approach to Modeling the Transport of Solutes
9. The Lagrangian Picture, Part I: Fundamentals of the Lagrangian Approach to Solute Transport
10. The Lagrangian Picture Part II: Models and Applications of the Lagrangian Approach to Solute Transport
11. Vadose Zone, Part I: Characterization and Flow Processes
12. Vadose Zone, Part II: Transport
13. Quantifying and Accounting for Uncertainty
References
Index