System-Based Solutions for Environmental Health Risk Analyses
Contaminant Exposure Assessment and Metric Calculation
- 1 Edición - 1 de marzo de 2027
- Última edición
- Autor: John R. Nuckols
- Idioma: Inglés
System-Based Solutions for Environmental Health Risk Analyses: Contaminant Exposure Assessment and Metric Calculation focuses on the critical aspects of exposure assessment and me… Leer más
Descripción
Descripción
System-Based Solutions for Environmental Health Risk Analyses: Contaminant Exposure Assessment and Metric Calculation focuses on the critical aspects of exposure assessment and metric calculation in environmental health risk analyses. With a systematic and interdisciplinary approach, this book provides valuable insights and practical guidance for integrating earth, environmental, and engineering science data into exposure metrics. This book offers a blueprint for standardizing the design and critical review of risk assessment studies, ensuring consistency and reliability in assessing and quantifying risks associated with contaminants. Drawing on real-world applications and the expertise of various disciplines, this resource equips readers with the tools and knowledge necessary to navigate the complexities of exposure assessment and metric calculation, ultimately contributing to improved risk management and decision-making in environmental health contexts.
Puntos claves
Puntos claves
- Provides a ready reference for matching reader’s risk assessment project(s) by scenario and contaminant to stepwise instructions on design and implementation of a system-based exposure metric
- Serves as a guiding principle in epidemiological risk analysis in replication of assessment methods across different study populations in order to validate estimates of risk
- Emphasizes a system-based approach to environmental health risk analysis to ensure a holistic understanding of the complexities involved in exposure assessment and metric calculation
De interès para
De interès para
Researchers, scientists, professionals, and engineers interested in environmental science, environmental health, environmental risk, risk assessment, epidemiology, and geography
Índice
Índice
1. Introduction
2. Fundamentals of System-based Analysis
3. Environmental Health Risk Assessment Methodology
4. Systems-based Exposure Metric Design for Environmental Health Risk Assessment
5. Case Studies
6. Applications
7. Summary, Applications, Conclusions, and Future Implications
2. Fundamentals of System-based Analysis
3. Environmental Health Risk Assessment Methodology
4. Systems-based Exposure Metric Design for Environmental Health Risk Assessment
5. Case Studies
6. Applications
7. Summary, Applications, Conclusions, and Future Implications
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 1 de marzo de 2027
- Idioma: Inglés
Sobre el autor
Sobre el autor
JN
John R. Nuckols
Dr. John R. (Jay) Nuckols is a CSU Emeritus Professor of Environmental Health Sciences and Principal of JRN-Environmental Health Sciences, Ltd. He holds BS, MS, and PhD Engineering Degrees, and has 40+ years of experience in basic and applied research concerning contaminant fate/transport modeling, including extensive studies related to environment and health impacts. In 1992, Dr. Nuckols established the Colorado State University Environmental Health Advanced Systems Laboratory, a successful entrepreneurial platform for integration of earth, engineering, and health sciences in spatial data systems design and application to health risk analyses. As visiting scientist at the US National Cancer Institute (2002-2010) and Fogarty International Center (2009-2011), he fostered geographic-based approaches to calculation of exposure metrics for environmental epidemiologic studies. His capstone professional ambition is to develop a web-based research, mentoring, and consultation platform designed to assist global education and implementation of local and regional health impact assessment and prevention.
Afiliaciones y experiencia
Emeritus Professor of Environmental Health Sciences, Colorado State University, USA