This book explains how to use leading-edge numerical techniques to develop simple but successful models of environmental processes or to analyze environmental data sets. Ready-made computer codes in MATLAB® are available to assist the reader in adapting his or her problem to the theory described here. The material is organized in such a way that the book can be used either as an end-to-end textbook in environmental systems analysis or as a handbook to address a specific problem.
This book explains how to use leading-edge numerical techniques to develop simple but successful models of environmental processes or to analyze environmental data sets. Ready-made computer codes in MATLAB® are available to assist the reader in adapting his or her problem to the theory described here. The material is organized in such a way that the book can be used either as an end-to-end textbook in environmental systems analysis or as a handbook to address a specific problem.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Stefano Marsili-Libelli received a cum laude MS degree in electronic engineering from the University of Pisa in 1973. Later that same year, he joined the University of Florence and since that time has served on the engineering faculty-first as a technical assistant, then as an associate professor (1983), and finally as a full professor (2000). A founding member of the environmental engineering curriculum at the University of Florence, he is also director of the Laboratory of Environmental Process Control, and an associate editor for the ISI international journals Environmental Modelling & Software and Water Science & Technology.
Inhaltsangabe
Introduction. Identification of Environmental Models. Analysis of Environmental Time Series. Fuzzy Modelling of Environmental Systems. Population Dynamics Modelling. Flow Reactor Modelling. Microbial Kinetics Modelling. Analysis of Aquatic Ecosystems. References.
Introduction. Identification of Environmental Models. Analysis of Environmental Time Series. Fuzzy Modelling of Environmental Systems. Population Dynamics Modelling. Flow Reactor Modelling. Microbial Kinetics Modelling. Analysis of Aquatic Ecosystems. References.
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