Book contents
- Frontmatter
- Contents
- List of figures
- List of tables
- Foreword
- Preface
- Acknowledgements
- 1 Introduction
- 2 Tools for environmental impact and damage assessment
- 3 Exposure–response functions for health impacts
- 4 Impacts of air pollution on building materials
- 5 Agriculture, forests and ecosystems
- 6 Other impacts
- 7 Atmospheric dispersion of pollutants
- 8 Multimedia pathways
- 9 Monetary valuation
- 10 The costs of climate change
- 11 Uncertainty of damage costs
- 12 Key assumptions and results for cost per kg of pollutant
- 13 Results for power plants
- 14 Results for waste treatment
- 15 Results for transport
- 16 Lessons for policy makers
- Appendix A Nomenclature, symbols, units and conversion factors
- Appendix B Description of the RiskPoll software
- Appendix C Equations for multimedia model of Chapter 8
- Index
Appendix A - Nomenclature, symbols, units and conversion factors
Published online by Cambridge University Press: 05 July 2014
- Frontmatter
- Contents
- List of figures
- List of tables
- Foreword
- Preface
- Acknowledgements
- 1 Introduction
- 2 Tools for environmental impact and damage assessment
- 3 Exposure–response functions for health impacts
- 4 Impacts of air pollution on building materials
- 5 Agriculture, forests and ecosystems
- 6 Other impacts
- 7 Atmospheric dispersion of pollutants
- 8 Multimedia pathways
- 9 Monetary valuation
- 10 The costs of climate change
- 11 Uncertainty of damage costs
- 12 Key assumptions and results for cost per kg of pollutant
- 13 Results for power plants
- 14 Results for waste treatment
- 15 Results for transport
- 16 Lessons for policy makers
- Appendix A Nomenclature, symbols, units and conversion factors
- Appendix B Description of the RiskPoll software
- Appendix C Equations for multimedia model of Chapter 8
- Index
Summary
Symbols
Our notation is somewhat different from many reports of the EPA and other organizations because we follow the custom of physics and engineering textbooks where a single letter is used for the “family name” of a variable, with subscripts to distinguish different variants. We choose subscripts that are fairly explicit and in most cases self-explanatory.
It is helpful to distinguish different substances by adding subscripts to some units: for instance mwat3 for a m3 of water. Likewise we sometimes add a subscript to the mass for clarity, e.g. kgsoil for a kg of soil.
To minimize the risk of confusion about units for items that can be stated as quantities or as rates (i.e. quantity per time), we indicate rates by dots over the respective symbol, the usual notation for time derivatives; for example if m = mass of emitted pollutant (kg), ṁ = emission rate (e.g. kg/yr).
For certain variables we sometimes add the location x as argument to indicate a possible dependence on the location where they are evaluated; when x is not shown, the average over the entire region is understood, for example kdep = average of kdep(x) over all locations x and SERF= population-weighted average of SERF(x).
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- Information
- How Much Is Clean Air Worth?Calculating the Benefits of Pollution Control, pp. 647 - 654Publisher: Cambridge University PressPrint publication year: 2014