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Effective Parameters of Hydrogeological Models

  • Book
  • © 2012

Overview

Authors:
  1. Vikenti Gorokhovski

    1. , ORD, U.S. EPA, Athens, USA

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  • Numerous step-by-step tutorials help the reader to learn quickly
  • A special chapter on next generation
  • Flash introduces the reader to future applications
  • Includes ten tips on how to protect flash sites from hackers
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Earth Sciences (BRIEFSEARTH)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xv
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  2. Introduction

    • Vikenti Gorokhovski
    Pages 1-9

  3. Engineering Approach

    • Vikenti Gorokhovski
    Pages 11-15

  4. Geostatistical Approach

    • Vikenti Gorokhovski
    Pages 17-38

  5. Model Identification

    • Vikenti Gorokhovski
    Pages 39-63

  6. Transformation of Geological Objects’ Properties into Effective Model Parameters

    • Vikenti Gorokhovski
    Pages 65-71

  7. Examples of Linear Transforming Mechanisms

    • Vikenti Gorokhovski
    Pages 73-91

  8. Examples of Nonlinear Transforming Mechanisms

    • Vikenti Gorokhovski
    Pages 93-103

  9. Evaluation of Transforming Mechanisms

    • Vikenti Gorokhovski
    Pages 105-120

  10. Inverse Problems and Transforming Mechanisms

    • Vikenti Gorokhovski
    Pages 121-141

  11. Conclusion

    • Vikenti Gorokhovski
    Pages 143-145

  12. Back Matter

    Pages 147-153
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Keywords

About this book

Models of geological objects are tools for interpolation and extrapolation of available data in space and time continuously. Real structures of the objects are unknown, and their models and simulated results carry uncertainty which cannot be evaluated in a provable way. The real issue is obtaining effective predictions in a reasonably defined sense. This requires a knowledge of mechanisms that convert actual geological properties into effective model parameters. These mechanisms are introduced in the book. They reveal that effective parameters are not statistics but characteristics optimizing the system made up by geological surroundings, their models, predictive problem formulations, including mathematical models of the simulated processes, boundary conditions, monitoring networks, criteria of efficiency and even by time. Examples of evaluating and applying transformation for assigning effective parameters and solving inverse problems are presented.

Authors and Affiliations

  • , ORD, U.S. EPA, Athens, USA

    Vikenti Gorokhovski

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