© 2007

Environmental Modeling


  • Ekkehard Holzbecher

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Primer to Modeling with MATLAB®

    1. Front Matter
      Pages 1-1
    2. Ekkehard Holzbecher
      Pages 1-28
    3. Ekkehard Holzbecher
      Pages 29-46
    4. Ekkehard Holzbecher
      Pages 47-63
    5. Ekkehard Holzbecher
      Pages 65-85
    6. Ekkehard Holzbecher
      Pages 87-100
    7. Ekkehard Holzbecher
      Pages 101-122
    8. Ekkehard Holzbecher
      Pages 123-135
    9. Ekkehard Holzbecher
      Pages 137-157
    10. Ekkehard Holzbecher
      Pages 159-179
    11. Ekkehard Holzbecher
      Pages 181-204
  3. Advanced Modeling using MATLAB®

    1. Front Matter
      Pages 205-205
    2. Ekkehard Holzbecher
      Pages 207-228
    3. Ekkehard Holzbecher
      Pages 229-242
    4. Ekkehard Holzbecher
      Pages 243-254
    5. Ekkehard Holzbecher
      Pages 255-270
    6. Ekkehard Holzbecher
      Pages 271-291
    7. Ekkehard Holzbecher
      Pages 307-316

About this book


“Environmental Modeling using MATLAB R ” by Ekkehard Holzbecher is an excellent publication and a novel approach covering the intersection of two important, growing worlds – the world of environmental modeling and of mathematical software. Environmental modeling is a science that uses mathematics and comp- ers to simulate physical and chemical phenomena in the environment (e.g., environmental pollution). This science was initially based on pen-and-paper calculations using simple equations. In the last 50 years, with the devel- mentofdigitalcomputers,environmentalmodelshavebecomemoreandmore complex, requiring often numerical solutions for systems of partial di?erential equations. Mathematical software, such as MATLAB R , has been developed in the lasttwo decades. Thesepackageshavebeen particularlysuccessfulfor usersof personal computers. Mathematical software provides a set of tools for solving equations both analytically and numerically. This is a major improvement in comparison to the programming tools (e.g., FORTRAN) previously used by scientists. Mathematical software o?ers extremely valuable and cost-e?ective tools that improve the productivity of the programmer by at least an order of magnitude. The use of these tools also minimizes the risk of programming errors. In addition, mathematical software o?ers unique visualization tools that allow the user to immediately visualize and often animate simulation results. Scientists who become familiar with a tool like MATLAB R will never go back to previous ways of computer programming.


3D MATLAB Potential Transport computer-aided design (CAD) finite element method image processing kinetics modeling programming thermodynamics visualization

Editors and affiliations

  • Ekkehard Holzbecher
    • 1
  1. 1.Weierstraβ-Institut für Angewandte Analysis und Stochastik (WIAS)Mohrenstr.39Deutschland

Bibliographic information

Industry Sectors
Oil, Gas & Geosciences