Dynamic Modeling of Environmental Systems

Author: Michael Deaton
Publisher: Springer Science & Business Media
ISBN: 1461213002
Format: PDF, Mobi
Download Now
A primer on 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 professionals seeking an introduction to modeling in their field.

Dynamic Modeling of Environmental Systems

Author: Michael Deaton
Publisher: Springer Science & Business Media
ISBN: 9780387988801
Format: PDF, ePub, Docs
Download Now
A primer on 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 professionals seeking an introduction to modeling in their field.

Dynamic Modeling of Environmental Systems

Author: Michael Deaton
Publisher: Springer
ISBN: 9781461270850
Format: PDF, Kindle
Download Now
A primer on 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 professionals seeking an introduction to modeling in their field.

Modeling the Environment

Author: Frederick Andrew Ford
Publisher: Island Press
ISBN: 9781559636018
Format: PDF, ePub
Download Now
Modeling techniques that allow managers and researchers to see in advance the consequences of actions and policies are becoming increasingly important to environmental management. Modeling the Environment is a basic introduction to one of the most widely known and used modeling techniques, system dynamics. Written in a clear and comprehensible style, the book: -- presents basic concepts of modeling using system dynamics -- illustrates the mechanics of model construction through a range of working models -- offers a rich array of exercises for students to use in applying principles and techniques used in the text -- walks students through the design and application of models of specific types of environmental systems Modeling the Environment requires little or no mathematical background and is appropriate for undergraduate environmental students as well as professionals new to modeling. Developed from the author's own introductory course, it is classroom-tested and represents an important contribution to the field of system dynamics.

Handbook of Dynamic System Modeling

Author: Paul A. Fishwick
Publisher: CRC Press
ISBN: 9781420010855
Format: PDF, Docs
Download Now
The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic System Modeling explores a panoply of different types of modeling methods available for dynamical systems. Featuring an interdisciplinary, balanced approach, the handbook focuses on both generalized dynamic knowledge and specific models. It first introduces the general concepts, representations, and philosophy of dynamic models, followed by a section on modeling methodologies that explains how to portray designed models on a computer. After addressing scale, heterogeneity, and composition issues, the book covers specific model types that are often characterized by specific visual- or text-based grammars. It concludes with case studies that employ two well-known commercial packages to construct, simulate, and analyze dynamic models. A complete guide to the fundamentals, types, and applications of dynamic models, this handbook shows how systems function and are represented over time and space and illustrates how to select a particular model based on a specific area of interest.

Modeling Dynamic Climate Systems

Author: Walter A. Robinson
Publisher: Springer Science & Business Media
ISBN: 1461301130
Format: PDF, ePub
Download Now
In the process of building and using models to comprehend the dynamics of the atmosphere, ocean and climate, the reader will learn how the different components of climate systems function, interact with each other, and vary over time. Topics include the stability of climate, Earths energy balance, parcel dynamics in the atmosphere, the mechanisms of heat transport in the climate system, and mechanisms of climate variability. Special attention is given to the effects of climate change.

Modeling Dynamic Economic Systems

Author: Matthias Ruth
Publisher: Springer Science & Business Media
ISBN: 1461422094
Format: PDF, Kindle
Download Now
This book explores the dynamic processes in economic systems, concentrating on the extraction and use of the natural resources required to meet economic needs. Sections cover methods for dynamic modeling in economics, microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models. This book does not require a substantial background in mathematics or computer science.

Mediated Modeling

Author: Marjan van den Belt
Publisher: Island Press
ISBN: 9781559639613
Format: PDF, Kindle
Download Now
Mediated modeling is an innovative new approach that enhances the use of computer models as invaluable tools to guide policy and management decisions. Rather than having outside experts dispensing answers to local stakeholders, mediated modeling brings together diverse interests to raise the shared level of understanding and foster a broad and deep consensus. It provides a structured process based on system dynamics thinking in which community members, government officials, industry representatives, and other stakeholders can work together to produce a coherent, simple but elegant simulation model. Mediated Modeling by Marjan Van Den Belt is a practical guide to participatory modeling for both practitioners and students, one that is firmly theoretically grounded in the field of systems dynamics and environmental modeling. Five in-depth case studies describe the successful use of the technique in a variety of settings, and a final chapter synthesizes the lessons highlighted by the case studies. Mediated Modeling's step-by-step description of the techniques and practical advice regarding implementation offer a real-world solution for all those seeking to make sound decisions about the environment.

Dynamic Modeling for Marine Conservation

Author: Matthias Ruth
Publisher: Springer Science & Business Media
ISBN: 9780387953175
Format: PDF, Kindle
Download Now
The effects of disturbed ecosystems, from devastating algal blooms to the loss of whale populations, have demonstrated the vulnerability of the oceans'biodiversity. This book provides methods for learning how ocean systems function, how natural and human actions put them in peril, and how we can influence the marine world in order to maintain biodiversity. The difficulties of research in the oceans make computer modeling particularly helpful for marine conservation. The authors demonstrate dynamic modeling through the use of the STELLA modeling program and case studies from marine conservation.

Dynamic Systems Biology Modeling and Simulation

Author: Joseph DiStefano III
Publisher: Academic Press
ISBN: 0124104932
Format: PDF, ePub, Mobi
Download Now
Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems – from molecular/cellular, organ-system, on up to population levels. The book pedagogy is developed as a well-annotated, systematic tutorial – with clearly spelled-out and unified nomenclature – derived from the author’s own modeling efforts, publications and teaching over half a century. Ambiguities in some concepts and tools are clarified and others are rendered more accessible and practical. The latter include novel qualitative theory and methodologies for recognizing dynamical signatures in data using structural (multicompartmental and network) models and graph theory; and analyzing structural and measurement (data) models for quantification feasibility. The level is basic-to-intermediate, with much emphasis on biomodeling from real biodata, for use in real applications. Introductory coverage of core mathematical concepts such as linear and nonlinear differential and difference equations, Laplace transforms, linear algebra, probability, statistics and stochastics topics; PLUS ....... The pertinent biology, biochemistry, biophysics or pharmacology for modeling are provided, to support understanding the amalgam of “math modeling” with life sciences. Strong emphasis on quantifying as well as building and analyzing biomodels: includes methodology and computational tools for parameter identifiability and sensitivity analysis; parameter estimation from real data; model distinguishability and simplification; and practical bioexperiment design and optimization. Companion website provides solutions and program code for examples and exercises using Matlab, Simulink, VisSim, SimBiology, SAAMII, AMIGO, Copasi and SBML-coded models. A full set of PowerPoint slides are available from the author for teaching from his textbook. He uses them to teach a 10 week quarter upper division course at UCLA, which meets twice a week, so there are 20 lectures. They can easily be augmented or stretched for a 15 week semester course. Importantly, the slides are editable, so they can be readily adapted to a lecturer’s personal style and course content needs. The lectures are based on excerpts from 12 of the first 13 chapters of DSBMS. They are designed to highlight the key course material, as a study guide and structure for students following the full text content. The complete PowerPoint slide package (~25 MB) can be obtained by instructors (or prospective instructors) by emailing the author directly, at: [email protected]