Numerical Models in Groundwater Pollution

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December 25, 2021 | History

Numerical Models in Groundwater Pollution

Mathematical models are the effective tool to solve different tasks predicting pollutant movement. The finite difference method is the oldest, but still remains widely used in hydrogeological practice. However, this method is not very useful to construct the new transport models because it cannot approximate the shape of remediation elements exactly. Therefore the book is concerned with the FEM (Finite Element Method) and BEM (Boundary Element Method), and also with the comparison of advantages of these methods in groundwater hydrology. The combination of the BEM and the random-walk particle tracking method, which seems to be a very useful tool to model the spread of pollution in groundwater, are also presented. The computer programmes have been developed on the basis of the theoretical backgrounds of these methods. They use the Visual C++ programming language for Windows 95/NT platform and will be included in the book.

Publish Date
Language
English
Pages
224

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Edition Availability
Cover of: Numerical Models in Groundwater Pollution
Numerical Models in Groundwater Pollution
2000, Springer Berlin Heidelberg
electronic resource / in English

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Book Details


Table of Contents

Introduction
Basic Equations of Groundwater Flow
Basic Equations of Transport of Pollutants in Porous Media
Weighted Residuals Method
Mathematical Models of Groundwater Flow
Mathematical Models of Transport of Miscible Pollutants
Comparison of Properties of All the Methods
Examples of Use of Models in Practice
Description of Software Included in this Book.

Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Berlin, Heidelberg

Classifications

Dewey Decimal Class
551.4
Library of Congress
GB1001-1199.8, GB3-5030

The Physical Object

Format
[electronic resource] /
Pagination
1 online resource (ix, 224 p.)
Number of pages
224

Edition Identifiers

Open Library
OL27078021M
ISBN 10
3642630987, 364256982X
ISBN 13
9783642630989, 9783642569821
OCLC/WorldCat
851831547

Work Identifiers

Work ID
OL19891545W

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