Mathematical Methods of Environmental Risk Modeling [Paperback]

Mathematical Methods of Environmental Risk Modeling provides a working introduction to both the general mathematical methods and specific models used for human health risk assessment. Rather than being purely an applied math book, this book focuses on methods and models that students and professionals are likely to encounter in practice. Examples are given from exposure assessment, pharmacokinetic modeling, and dose-response modeling.Mathematical Methods of Environmental Risk Modeling provides a working introduction to both the general mathematical methods and specific models used for human health risk assessment. Rather than being purely an applied math book, this book focuses on methods and models that students and professionals are likely to encounter in practice. Examples are given from exposure assessment, pharmacokinetic modeling, and dose-response modeling.Preface. 1: Risk, Rationality and Decisions. 1.1. The Concept of Fields and States. 1.2. Scalar, Vector and Tensor Fields. 1.3. The Gradient, Divergence and Curl of a Field. 1.4. Translation, Rotation and Superposition of Fields. 2: Probability and Statistics. 2.1. Decisions Under Variability and Uncertainty. 2.2. Probability, Frequency, Confidence and Likelihood. 2.3. Long-Term Frequentist and Bayesian Conceptions. 2.4. Histograms and Probability Density Functions. 2.5. Special Probability Density Functions. 2.6. Correlation. 2.7. Parameter Estimation and Measures of Model Quality. 2.8. Error Propagation through Models. 3: Systems of Differential Equations. 3.1. A Systems View of the Environment. 3.2. Mass/Energy Balance and Conservation Laws. 3.3. Linear Differential Equations. 3.4. Systems of Differential Equations. 3.5. Applications of Bernoulli's Method. 4: Laplace Transforms and Coupled Differential Equations. 4.1. Coupled Systems and Feedback. 4.2. Transforms. 4.3. The Laplace Transform. 4.4. The Inverse Laplace Transform. 4.5. AlÓ)