Effective Parameters of Hydrogeological Models

  • Vikenti Gorokhovski

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

Table of contents

  1. Front Matter
    Pages i-xv
  2. Vikenti Gorokhovski
    Pages 1-9
  3. Vikenti Gorokhovski
    Pages 11-15
  4. Vikenti Gorokhovski
    Pages 17-38
  5. Vikenti Gorokhovski
    Pages 39-63
  6. Vikenti Gorokhovski
    Pages 73-91
  7. Vikenti Gorokhovski
    Pages 93-103
  8. Vikenti Gorokhovski
    Pages 105-120
  9. Vikenti Gorokhovski
    Pages 121-141
  10. Vikenti Gorokhovski
    Pages 143-145
  11. Back Matter
    Pages 147-153

About this book

Introduction

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.

Keywords

Effective parameters Hydrogeological model Inverse problems Transforming mechanisms Underground flow

Authors and affiliations

  • Vikenti Gorokhovski
    • 1
  1. 1., ORDU.S. EPAAthensUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-23722-5
  • Copyright Information The Author(s) 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-642-23721-8
  • Online ISBN 978-3-642-23722-5
  • Series Print ISSN 2191-5369
  • Series Online ISSN 2191-5377
  • About this book
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