Working with Fugacity

A Multimedia Environmental Modelling Workbook
1. Auflage 2025
ISBN: 978-1-041-10865-8
Verlag: Taylor & Francis Ltd

Buch, Englisch, 128 Seiten, Format (B × H): 178 mm x 254 mm

Multimedia environmental models are powerful tools for predicting the fate and distribution of

chemicals in the environment. They are used for assessing the potential exposure of ecosystems and

humans to contaminants, as well as for developing and evaluating chemical management approaches.

This book has been developed with the aim of providing support to students and researchers who

are new to fugacity-based environmental modelling or wish to refresh their knowledge and skills.

The nature and approach of fugacity-based calculations is developed methodically and sequentially

from very first steps, with computational details explicitly shown and discussed. Whereas our text

“Multimedia Environmental Models: The Fugacity Approach” gives detailed justification for the

theoretical underpinnings of the fugacity approach, this workbook instead focusses on the step-bystep

exposition of computational details and approaches without excessive theoretical justification.

We believe that this approach will serve to help clarify the necessary computational steps and

approaches needed to design and implement fugacity-based computations in real-life environmental

contexts.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Mackay, Donald

Parnis, J. Mark

Fachgebiete

• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Naturwissenschaften Chemie Chemie Allgemein
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Naturwissenschaften Chemie Organische Chemie

Inhaltsverzeichnis

1. Equilibrium Partitioning in Closed Systems – All about Z Values.

2. Equilibrium Partitioning in Complex Media – Bulk Z Values.

3. Open Systems at Steady State – Introducing D-Values.

4. Non-Equilibrated Open Systems – D-Values for Diffusive Transport.

5. Basic Environmental Models – Putting It All Together.

6. Time-Variant Systems – Differential Equations.

Über Autor(innen)

J. Mark Parnis is an Emeritus Professor of Chemistry at Trent University in Peterborough, Ontario, Canada. A graduate of the University of Toronto, he is a physical chemist with early research work in metal atom and cluster reactions with organic molecules and a teaching emphasis on quantum mechanics, spectroscopy, and kinetics. In more recent years, he joined forces with Donald Mackay to focus on the development and implementation of techniques for estimating physico-chemical properties of molecular species with an emphasis on environmental modeling applications. He is a former director of the Canadian Environmental Modelling Centre at Trent University and continues to work on applications of fugacity-based models and property estimation techniques in environmental modelling. He maintains and updates the various models developed by Don Mackay’s group, which are available from the CEMC Website.

Donald Mackay was an internationally renowned engineer and scientist, the acknowledged pioneer of fugacity-based modeling applications in environmental fate and exposure methodology. Don graduated from the University of Glasgow and was most recently an Emeritus Professor in the School of the Environment at Trent University. He was also Professor Emeritus in the Department of Chemical Engineering and Applied Chemistry of the University of Toronto where he taught for some 30 years and established himself as a pioneer of multimedia modeling in environmental science. Moving to Trent University in 1995, he contributed to the growth and maturation of the environmental science program and established the Canadian Environmental Modelling Centre, which he led until his official retirement in 2002. Since that time, Don continued to work in the field, producing over 750 articles, many books, and numerous reports during his career. The recipient of the Order of Canada and many other awards, Don was a leading figure in the field of environmental fate modeling.