Environmental Systems Science: Theory and Practical Applications looks at pollution and environmental quality from a systems perspective. Credible human and ecological risk estimation and prediction methods are described, including life cycle assessment, feasibility studies, pollution control decision tools, and approaches to determine adverse outcome pathways, fate and transport, sampling and analysis, and cost-effectiveness. The book brings translational science to environmental quality, applying groundbreaking methodologies like informatics, data mining, and applications of secondary data systems. Multiple human and ecological variables are introduced and integrated to support calculations that aid environmental and public health decision making.
The book bridges the perspectives of scientists, engineers, and other professionals working in numerous environmental and public health fields addressing problems like toxic substances, deforestation, climate change, and loss of biological diversity, recommending sustainable solutions to these and other seemingly intractable environmental problems. The causal agents discussed include physical, chemical, and biological agents, such as per- and polyfluoroalkyl substances (PFAS), SARS-CoV-2 (the COVID-19 virus), and other emerging contaminants.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Preface - p. ix 7. Chapter 1. Systems science - p. 1 8. Chapter 2. Dynamical environmental systems - p. 25 9. Chapter 3. Transitional and translational sciences - p. 61 10. Chapter 4. Predicting risks in an increasingly complex world - p. 118 11. Chapter 5. Environmental system dynamics - p. 136 12. Chapter 6. Endogenous dynamics in humans - p. 195 13. Chapter 7. Science-based decision-making - p. 262 14. Chapter 8. Decision support tools - p. 293 15. Chapter 9. Sampling and analysis to support environmental systems science - p. 370 16. Chapter 10. Environmental systems science models - p. 487 17. Chapter 11. Economics and feasibility assessments - p. 540 18. Chapter 12. Systems engineering and reliability analysis - p. 543 19. Chapter 13. Environmental systems-based land-use planning - p. 572 20. Chapter 14. The Future - p. 601 21. Appendix 1 - p. 619 22. Appendix 2 - p. 645 23. Appendix 3 - p. 655 24. Index - p. 679
Environmental Systems Science: Theory and Practical Applications looks at pollution and environmental quality from a systems perspective. Credible human and ecological risk estimation and prediction methods are described, including life cycle assessment, feasibility studies, pollution control decision tools, and approaches to determine adverse outcome pathways, fate and transport, sampling and analysis, and cost-effectiveness. The book brings translational science to environmental quality, applying groundbreaking methodologies like informatics, data mining, and applications of secondary data systems. Multiple human and ecological variables are introduced and integrated to support calculations that aid environmental and public health decision making.
The book bridges the perspectives of scientists, engineers, and other professionals working in numerous environmental and public health fields addressing problems like toxic substances, deforestation, climate change, and loss of biological diversity, recommending sustainable solutions to these and other seemingly intractable environmental problems. The causal agents discussed include physical, chemical, and biological agents, such as per- and polyfluoroalkyl substances (PFAS), SARS-CoV-2 (the COVID-19 virus), and other emerging contaminants.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Preface - p. ix 7. Chapter 1. Systems science - p. 1 8. Chapter 2. Dynamical environmental systems - p. 25 9. Chapter 3. Transitional and translational sciences - p. 61 10. Chapter 4. Predicting risks in an increasingly complex world - p. 118 11. Chapter 5. Environmental system dynamics - p. 136 12. Chapter 6. Endogenous dynamics in humans - p. 195 13. Chapter 7. Science-based decision-making - p. 262 14. Chapter 8. Decision support tools - p. 293 15. Chapter 9. Sampling and analysis to support environmental systems science - p. 370 16. Chapter 10. Environmental systems science models - p. 487 17. Chapter 11. Economics and feasibility assessments - p. 540 18. Chapter 12. Systems engineering and reliability analysis - p. 543 19. Chapter 13. Environmental systems-based land-use planning - p. 572 20. Chapter 14. The Future - p. 601 21. Appendix 1 - p. 619 22. Appendix 2 - p. 645 23. Appendix 3 - p. 655 24. Index - p. 679
