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Books > Professional & Technical > Environmental engineering & technology > Pollution control

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Numerical Models in Groundwater Pollution (Hardcover, 2000 ed.) Loot Price: R2,970
Discovery Miles 29 700
Numerical Models in Groundwater Pollution (Hardcover, 2000 ed.): Karel Kovarik

Numerical Models in Groundwater Pollution (Hardcover, 2000 ed.)

Karel Kovarik

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Loot Price R2,970 Discovery Miles 29 700 | Repayment Terms: R278 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: April 2000
First published: 2000
Authors: Karel Kovarik
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Hardcover
Pages: 224
Edition: 2000 ed.
ISBN-13: 978-3-540-66792-6
Categories: Books > Professional & Technical > Environmental engineering & technology > Pollution control
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Earth & environment > Earth sciences > The hydrosphere > Hydrology (freshwater)
Books > Professional & Technical > Environmental engineering & technology > Sanitary & municipal engineering > Water supply & treatment > General
LSN: 3-540-66792-X
Barcode: 9783540667926

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