Buch, Englisch, Band 9, 480 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1940 g
Reihe: Environmental Pollution
Principles and Practices
Buch, Englisch, Band 9, 480 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1940 g
Reihe: Environmental Pollution
ISBN: 978-1-4020-3775-7
Verlag: Springer Netherlands
This book is about the legal, economical, and practical assessment and management of risky activities arising from routine, catastrophic environmental and occupational exposures to hazardous agents. It includes a discussion of aspects of US and European Union law concerning risky activities, and then develops the economic analyses that are relevant to implementing choices within a supply and demand framework. The book also discusses exposure-response and time-series models used in assessing air and water pollution, as well as probabilistic cancer models, including toxicological compartmental, pharmaco-kinetic models and epidemiological relative risks and odds ratios-based models. Statistical methods to measure agreement, correlation and discordance are also developed. The methods and criteria of decision-analysis, including several measures of value of information (VOI) conclude the expositions. This book is an excellent text for students studying risk assessment and management.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Rechtswissenschaften Internationales Recht und Europarecht Internationales Recht Internationales Verwaltungs-, Umwelt- und Gesundheitsrecht
- Wirtschaftswissenschaften Volkswirtschaftslehre Umweltökonomie
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Betriebliches Energie- und Umweltmanagement
- Wirtschaftswissenschaften Betriebswirtschaft Management Risikomanagement
- Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
Weitere Infos & Material
Legal Principles, Uncertainty, and Variability in Risk Assessment and Management.- Sustainability and Making Decisions Under Uncertainty.- Risk, Cost, and Benefit Analysis (RCBA) in Risk Assessment and Management.- Exposure-Response Models for Risk Assessment.- Probabilistic Dose-Response Models and Concepts of Toxicology.- Monte Carlo, Bootstraps and Other Methods to Quantify or Propagate Variability and Uncertainty.- Causal Models: Influence Diagrams, Bayesian Networks, Classification and Regression Trees.- Meta-Analysis, Pooling Sample Data, and Statistical Decision Rules.- Contingency Tables in Risk Assessment and Management.- Statistical Associations and Causation for Risk Assessment and Management.- Risk Assessment Frameworks, Calculations of Risk and Toxicological Doses.- Practical Analysis of Decisions for Risk Management.
