Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink: 1st Edition (Paperback) book cover

Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink

1st Edition

By Kenneth R. Dixon

CRC Press

270 pages | 167 B/W Illus.

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Description

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.

Table of Contents

Introduction

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.

About the Author

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.

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General
SCI026000
SCIENCE / Environmental Science
SCI070000
SCIENCE / Life Sciences / Zoology / General
SCI086000
SCIENCE / Life Sciences / General