Environmental Modeling: Using MATLAB®Springer Science & Business Media, 30.08.2007 - 392 Seiten “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. |
Inhalt
| 3 | |
Fundamentals of Modeling Principles and MATLAB | 29 |
Transport | 47 |
Transport Solutions | 65 |
Transport with Decay and Degradation 87 | 86 |
Transport and Sorption | 101 |
Transport and Kinetics | 123 |
Transport and Equilibrium Reactions | 137 |
Aquifer Baseflow and 2D Meshing | 243 |
Potential and Flow Visualization | 255 |
Streamfunction and Complex Potential | 271 |
2D and 3D Transport Solutions | 293 |
Image Processing and Georeferencing | 307 |
Compartment Graphs and Linear Systems | 317 |
Nonlinear Systems 339 | 338 |
Graphical User Interfaces | 357 |
Ordinary Differential Equations Dynamical Systems 159 | 158 |
Parameter Estimation | 181 |
Flow Modeling 207 | 206 |
Groundwater Drawdown by Pumping | 229 |
MATLAB Data Import 371 | 370 |
Data Presentation in a Histogram 377 | 375 |
| 385 | |
Andere Ausgaben - Alle anzeigen
Häufige Begriffe und Wortgruppen
advection algorithm analytical solution baseflow boundary conditions calculated cfit Chap chemical coefficient column command sequence command window compartment complex components computed confined aquifer constant contours corresponding curve Darcy's Law decay degradation denotes depicted derived diffusion dimensionless dispersion drawdown eigenvalues environmental modeling equilibrium example exponential factor figure editor flux following command formula function f given gradient graphical graphical user interface groundwater Holzbecher hydraulic hydraulic conductivity inflow input isotherm kinetics lambda linear loop M-file mathematical MATLAB MATLABOR matrix mesh obtained options ordinary differential equations output parameter pdepe Péclet phase space physical unit piezometric piezometric head plot porosity porous media position potential processes pumping reaction redox represents result sediments Sidebar simulation situation solid phase sorption space species specified steady streamfunction streamline term tion transport equation unconfined valid values variable vector velocity xlabel zero Әс Эх
