Applied Environmental Systems Modeling
V. Uddameri: Texas A&M University, Kingsville, Texas, USA

978-1-57808-516-3/ October 2008/ ca.500 pages, hc*/ US $ 88.00      


ABOUT THE BOOK
The book introduces essential concepts of pollutant fate and transport using hands-on model building approach. The first part of the book provides a refresher on pertinent theory with special emphasis on obtaining fluxes and mass-loadings for various physical, chemical and biological processes in natural and engineered systems which are part of the mass-balance formulation. The second part of the book deals with mathematical and numerical approaches for solving mass-balance expressions. A wide range of techniques including the numerical differentiation of ordinary and partial differential equations are discussed. The implementation of these methods on Microsoft Excel® spreadsheet is detailed in a workbook format using diagrams and screenshots.

The book is intended to serve as a text/workbook for an introductory fate and transport modeling class offered to advanced undergraduates and early graduate students. In addition, it can also be used as a supplemental text for courses in environmental transport processes and process dynamics. It should also appeal to self-learning environmental engineering practitioners.

CONTENTS

- Introduction
- Environmental Systems
- Mathematical Models for Environmental Systems
- Fundamental Quantities for Building Mathematical Models - Concentration
- Fundamental Quantities for Building Mathematical Models - Rate Measures
- Fundamental Transport Processes
- Abiotic and Biotic Reactions
- Interphase Mass-transfer-Kinetic Theories
- Interphase Mass-transfer-Equilibrium Partitioning
- Reactors and Mass Balance Expressions
- Mass-Balance Equations - Other Salient Concepts
- Computing Tools for the Model Development
- Implementing Root-finding in MS-EXCEL
- Matrices and Linear System of Equations
- Optimization Methods for Solving Linear and Nonlinear Equations
- Analytical Methods for First-Order Ordinary Differential Equations
- Numerical Methods for Solving First-Order ODEs
- Methods for Solving Second-Order ODEs
- Analytical and Indirect Approaches for Solving Partial Differential Equations
- Finite-Difference Approaches for Solving Partial Differential Equations
- Methods to Evaluate Definite Integrals
- Data Compilation, Parameter Estimation and Model Calibration
- Model Sensitivity and Uncertainty Analysis
- Steps in Carrying out a Modeling Project
- Advanced Model Formulations and Algorithms

* pb edition will be published shortly.

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