Chapter 19
Hamilton Airshed Modelling System
Anthony Ciccone, Janya Kelly and James Wilkinson
Abstract The objective of this study is to develop the Hamilton Airshed Modelling System (HAMS) providing a platform to better understand the processes and
contributions to Hamilton’s air quality, informing future policy and human health
impact decisions. Air quality in an urban airshed is influenced by local, regional and
transboundary sources, geography and meteorology. HAMS must handle different
emission sources, and the transportation and dispersion of emissions, to achieve realistic simulations of local impacts on air quality. HAMS relies on the development
of two key data sets. The meteorology dataset impacts the transportation, transformation, dispersion, and deposition of pollutants over the challenging terrain in the
Hamilton area. The emissions dataset represents the local and regional sources and
contaminants influencing the air quality with contributions from industrial, commercial, residential, biogenic, and transportation sources. The Community Multi-scale
Air Quality (CMAQ) model combines these datasets in a nested a one-way grid
formation from regional (36 km) to local (1.33 km) scales and validates modeled
output against observations. Recent local studies indicate that mobile and industrial
sources are the primary emission sources. This study further examines the source
contributions of mobile, industrial and background sources to local impacts on air
quality.
A. Ciccone · J. Kelly (B)
Golder Associates Ltd, Mississauga, ON L5N 7K2, Canada
e-mail: jkelly@golder.com
A. Ciccone
e-mail: aciccone@golder.com
J. Wilkinson
Terra-Technologies, Eugene, OR 97401, USA
e-mail: terrakit.jw@gmail.com
© Springer Nature Switzerland AG 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity,
https://doi.org/10.1007/978-3-030-22055-6_19
113
Hamilton Airshed Modelling System
Anthony Ciccone, Janya Kelly and James Wilkinson
Abstract The objective of this study is to develop the Hamilton Airshed Modelling System (HAMS) providing a platform to better understand the processes and
contributions to Hamilton’s air quality, informing future policy and human health
impact decisions. Air quality in an urban airshed is influenced by local, regional and
transboundary sources, geography and meteorology. HAMS must handle different
emission sources, and the transportation and dispersion of emissions, to achieve realistic simulations of local impacts on air quality. HAMS relies on the development
of two key data sets. The meteorology dataset impacts the transportation, transformation, dispersion, and deposition of pollutants over the challenging terrain in the
Hamilton area. The emissions dataset represents the local and regional sources and
contaminants influencing the air quality with contributions from industrial, commercial, residential, biogenic, and transportation sources. The Community Multi-scale
Air Quality (CMAQ) model combines these datasets in a nested a one-way grid
formation from regional (36 km) to local (1.33 km) scales and validates modeled
output against observations. Recent local studies indicate that mobile and industrial
sources are the primary emission sources. This study further examines the source
contributions of mobile, industrial and background sources to local impacts on air
quality.
A. Ciccone · J. Kelly (B)
Golder Associates Ltd, Mississauga, ON L5N 7K2, Canada
e-mail: jkelly@golder.com
A. Ciccone
e-mail: aciccone@golder.com
J. Wilkinson
Terra-Technologies, Eugene, OR 97401, USA
e-mail: terrakit.jw@gmail.com
© Springer Nature Switzerland AG 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity,
https://doi.org/10.1007/978-3-030-22055-6_19
113