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Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink by Kenneth R. Dixon (2011, Hardcover)
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About this product
Product Identifiers
PublisherCRC Press LLC
ISBN-10143985517X
ISBN-139781439855171
eBay Product ID (ePID)24038844776
Product Key Features
Number of Pages270 Pages
Publication NameModeling and Simulation in Ecotoxicology with Applications in Matlab and Simulink
LanguageEnglish
Publication Year2011
SubjectEnvironmental Science (See Also Chemistry / Environmental), Mathematical & Statistical Software, Computer Simulation, Probability & Statistics / General, General, Life Sciences / Zoology / General
TypeTextbook
Subject AreaMathematics, Computers, Science
AuthorKenneth R. Dixon
FormatHardcover
Dimensions
Item Height0.8 in
Item Weight26.5 Oz
Item Length10.1 in
Item Width7.2 in
Additional Product Features
Intended AudienceCollege Audience
LCCN2011-013518
IllustratedYes
Dewey Decimal615.902
Table Of ContentIntroduction Theories Underlying Predictive Models Reasons for Modeling and Simulation What Does It Take To Be a Modeler? Why Models Fail: A Cautionary Note Principles of Modeling and Simulation Systems Modeling Simulation Introduction to Matlab and Simulink MATLAB Simulink Exercises Introduction to Stochastic Modeling Introduction to Probability Distributions Example Probability Distributions Discrete-State Markov Processes Monte Carlo Simulation Exercises Modeling Ecotoxicology of Individuals Toxic Effects on Individuals Exercises Modeling Ecotoxicology of Populations, Communities, and Ecosystems Effects of Toxicants on Aggregated Populations Effects of Toxicants on Age-Structured Populations Effects of Toxicants on Communities Effects of Toxicants on Ecosystems Exercises Parameter Estimation Linear Regression Nonlinear Regression Comparison between Linear and Nonlinear Regressions Exercises Designing Simulation Experiments Factorial Designs Response Surface Designs Exercises Analysis of Simulation Experiments Simulation Output Analysis Stability Analysis Sensitivity Analysis Response Surface Methodology Exercises Model Validation Validation and Reasons for Modeling and Simulation Testing Hypotheses Statistical Techniques Some MATLAB Methods Exercises A Model to Predict the Effects of Insecticides on Avian Populations Problem Definition Model Development Model Implementation Data Requirements Model Validation Design Simulation Experiments Analyze Results of Simulation Experiments Case Study: Predicting Health Risk to Bottlenose Dolphins from Exposure to Oil Spill Toxicants Problem Definition Model Development Model Implementation Data Requirements Model Validation Design of Simulation Experiments Analyze Results of Simulation Experiments Presentation and Implementation of Results Case Study: Simulating the Effects of Temperature Plumes on the Uptake of Mercury in Daphnia Problem Definition Model Development Model Implementation Data Requirements Model Validation Design of Simulation Experiments Analyze Results of Simulation Experiments Presentation and Implementation of Results Index.
SynopsisExploring roles critical to environmental toxicology, Modeling and Simulation in Ecotoxicology with Applications in MATLAB(R) and Simulink(R) covers the steps in modeling and simulation from problem conception to validation and simulation analysis. Using the MATLAB and Simulink programming languages, the book presents examples of mathematical functions and simulations, with special emphasis on how to develop mathematical models and run computer simulations of ecotoxicological processes. Designed for students and professionals with little or no experience in modeling, the book includes: General principles of modeling and simulation and an introduction to MATLAB and Simulink Stochastic modeling where variability and uncertainty are acknowledged by making parameters random variables Toxicological processes from the level of the individual organism, with worked examples of process models in either MATLAB or Simulink Toxicological processes at the level of populations, communities, and ecosystems Parameter estimation using least squares regression methods The design of simulation experiments similar to the experimental design applied to laboratory or field experiments Methods of postsimulation analysis, including stability analysis and sensitivity analysis Different levels of model validation and how they are related to the modeling purpose The book also provides three individual case studies. The first involves a model developed to assess the relative risk of mortality following exposure to insecticides in different avian species. The second explores the role of diving behavior on the inhalation and distribution of oil spill naphthalene in bottlenose dolphins. The final case study looks at the dynamics of mercury in Daphnia that are exposed to simulated thermal plumes from a hypothetical power plant cooling system. Presented in a rigorous yet accessible style, the methodology is versatile enough to be readily applicable not only to environmental toxicology but a range of other biological fields., Exploring roles critical to environmental toxicology, Modeling and Simulation in Ecotoxicology with Applications in MATLAB® and Simulink® covers the steps in modeling and simulation from problem conception to validation and simulation analysis. Using the MATLAB and Simulink programming languages, the book presents examples of mathematical functions and simulations, with special emphasis on how to develop mathematical models and run computer simulations of ecotoxicological processes. Designed for students and professionals with little or no experience in modeling, the book includes: General principles of modeling and simulation and an introduction to MATLAB and Simulink Stochastic modeling where variability and uncertainty are acknowledged by making parameters random variables Toxicological processes from the level of the individual organism, with worked examples of process models in either MATLAB or Simulink Toxicological processes at the level of populations, communities, and ecosystems Parameter estimation using least squares regression methods The design of simulation experiments similar to the experimental design applied to laboratory or field experiments Methods of postsimulation analysis, including stability analysis and sensitivity analysis Different levels of model validation and how they are related to the modeling purpose The book also provides three individual case studies. The first involves a model developed to assess the relative risk of mortality following exposure to insecticides in different avian species. The second explores the role of diving behavior on the inhalation and distribution of oil spill naphthalene in bottlenose dolphins. The final case study looks at the dynamics of mercury in Daphnia that are exposed to simulated thermal plumes from a hypothetical power plant cooling system. Presented in a rigorous yet accessible style, the methodology is versatile enough to be readily applicable not only to environmental toxicology but a range of other biological fields.
LC Classification NumberRA1226.D59 2011
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