Michael L. Deaton – författare

Dynamic Modeling of Environmental Systems is a primer on using models to understand environmental problems. With their many natural, economic, political, and technical aspects, environmental problems require a systems approach. This book provides an introduction to modeling concepts and applications that is specifically geared toward the environmental field. Sections on modeling terminology, the uses of models, the model-building process, and the interpretation of output provide the foundation for detailed applications. After an introduction to the basics of dynamic modeling, the book leads students through an analysis of several environmental problems, including surface-water pollution, matter-cycling disruptions, and global warming. The scientific and technical context is provided for each problem, and the methods for analyzing and designing appropriate modeling approaches is provided. While the mathematical content does not exceed the level of a first-semester Calculus course, the book gives students all of the background, examples, and practice exercises needed both to use and understand environmental modeling. It is suitable for upper-level undergraduate and beginning-graduate-level environmental science courses. The text is also useful for environmental professionals seeking an introduction to modeling in their field.

Dynamic Modeling of Environmental Systems is a primer on using models to understand environmental problems. With their many natural, economic, political, and technical aspects, environmental problems require a systems approach. This book provides an introduction to modeling concepts and applications that is specifically geared toward the environmental field. Sections on modeling terminology, the uses of models, the model-building process, and the interpretation of output provide the foundation for detailed applications. After an introduction to the basics of dynamic modeling, the book leads students through an analysis of several environmental problems, including surface-water pollution, matter-cycling disruptions, and global warming. The scientific and technical context is provided for each problem, and the methods for analyzing and designing appropriate modeling approaches is provided. While the mathematical content does not exceed the level of a first-semester Calculus course, the book gives students all of the background, examples, and practice exercises needed both to use and understand environmental modeling. It is suitable for upper-level undergraduate and beginning-graduate-level environmental science courses. The text is also useful for environmental professionals seeking an introduction to modeling in their field.