Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink

Erscheinungsjahr 2011
ISBN: 978-1-4398-5517-1
Verlag: Taylor & Francis Inc

Buch, Englisch, 270 Seiten, Format (B × H): 189 mm x 257 mm, Gewicht: 774 g

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.

Zielgruppe

Graduate and advanced undergraduate students in environmental toxicology and other biological and ecological disciplines and scientists who incorporate modeling in their research.

Autoren/Hrsg.

Dixon, Kenneth R.

Fachgebiete

• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Naturwissenschaften Biowissenschaften Toxikologie
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure

Inhaltsverzeichnis

IntroductionTheories Underlying Predictive ModelsReasons for Modeling and SimulationWhat Does It Take To Be a Modeler?Why Models Fail: A Cautionary NotePrinciples of Modeling and SimulationSystemsModelingSimulationIntroduction to Matlab and Simulink MATLABSimulinkExercisesIntroduction to Stochastic Modeling Introduction to Probability DistributionsExample Probability DistributionsDiscrete-State Markov ProcessesMonte Carlo SimulationExercisesModeling Ecotoxicology of IndividualsToxic Effects on IndividualsExercisesModeling Ecotoxicology of Populations, Communities, and EcosystemsEffects of Toxicants on Aggregated PopulationsEffects of Toxicants on Age-Structured PopulationsEffects of Toxicants on CommunitiesEffects of Toxicants on EcosystemsExercisesParameter EstimationLinear RegressionNonlinear RegressionComparison between Linear and Nonlinear RegressionsExercisesDesigning Simulation ExperimentsFactorial DesignsResponse Surface DesignsExercisesAnalysis of Simulation ExperimentsSimulation Output AnalysisStability AnalysisSensitivity AnalysisResponse Surface MethodologyExercisesModel ValidationValidation and Reasons for Modeling and SimulationTesting HypothesesStatistical TechniquesSome MATLAB MethodsExercisesA Model to Predict the Effects of Insecticides on Avian PopulationsProblem DefinitionModel DevelopmentModel ImplementationData RequirementsModel ValidationDesign Simulation ExperimentsAnalyze Results of Simulation ExperimentsCase Study: Predicting Health Risk to Bottlenose Dolphins from Exposure to Oil Spill ToxicantsProblem DefinitionModel DevelopmentModel ImplementationData RequirementsModel ValidationDesign of Simulation ExperimentsAnalyze Results of Simulation ExperimentsPresentation and Implementation of ResultsCase Study: Simulating the Effects of Temperature Plumes on the Uptake of Mercury in DaphniaProblem DefinitionModel DevelopmentModel ImplementationData RequirementsModel ValidationDesign of Simulation ExperimentsAnalyze Results of Simulation ExperimentsPresentation and Implementation of ResultsIndex.

Über Autor(innen)

Dr. Kenneth R. Dixon’s current research interests include developing and applying computer simulation models to predict the movement of toxic chemicals in the environment and their effects on human and wildlife populations. He also studies the spatial distribution of toxicants and effects at ecosystem, landscape, and regional scales by integrating models with geographic information systems. Current research projects include developing food-chain models to predict the uptake and effects of pesticides, perchlorate, and explosives; developing spatial models of the spread of infectious diseases; and a mathematical programming model of the effects of pollutants on optimal feeding strategies. Dr. Dixon has taught courses in modeling, geographic information systems, ecosystems analysis, biometry, and wildlife management.