88
P. L. Jackson et al.
14.4 Conclusion
A comprehensive dispersion modelling study of PM in Prince George, BC, Canada
was designed to help manage air quality. The greatest challenge was in accurately
specifying all the sources of PM in the airshed. Using an iterative approach in which
model results are evaluated by comparison with various observations, the emissions
of more poorly characterized sources were revised, resulting in a better simulation of
PM. In order to help air quality managers make use of the dispersion model results,
a web-based visualization tool (AirQuest) was developed in which users can run
source reduction scenarios and visualize the resulting concentrations spatially and
statistically.
Acknowledgements Funding was from: BC Ministry of Environment, City of Prince George,
Environment Canada, Northern Health, Canfor, and the Natural Science and Engineering Research
Council of Canada.
References
1. BCStats, 2016 Census of Population and Housing (2016). http://www.bcstats.gov.bc.ca/
StatisticsBySubject/Census/2016Census/PopulationHousing.aspx. Accessed 17 Mar 2017
2. British Columbia Ministry of Environment Environmental (BCMoE), Air Quality in Prince
George Summary Report June 2016. British Columbia Ministry of Environment (2016), 23 p
3. P.L Jackson, J. Albino, C. Birch, B. Nilson, J. Pawluk and T. Tereshchak, Trends in fine particulate
matter (PM2.5) concentrations in Prince George, British Columbia, Canada. Natural Resources
and Environmental Studies Institute. Research Extension Note, no. 11 (University of Northern
British Columbia, Prince George, BC, Canada, 2017), 21 p
4. M. Noullett, P.L. Jackson, M. Brauer, Winter measurements of personal exposure and ambient
fine particle mass, sulphate and light absorbing components in a northern community. Atmos.
Environ. 40, 1971–1990 (2006)
P. L. Jackson et al.
14.4 Conclusion
A comprehensive dispersion modelling study of PM in Prince George, BC, Canada
was designed to help manage air quality. The greatest challenge was in accurately
specifying all the sources of PM in the airshed. Using an iterative approach in which
model results are evaluated by comparison with various observations, the emissions
of more poorly characterized sources were revised, resulting in a better simulation of
PM. In order to help air quality managers make use of the dispersion model results,
a web-based visualization tool (AirQuest) was developed in which users can run
source reduction scenarios and visualize the resulting concentrations spatially and
statistically.
Acknowledgements Funding was from: BC Ministry of Environment, City of Prince George,
Environment Canada, Northern Health, Canfor, and the Natural Science and Engineering Research
Council of Canada.
References
1. BCStats, 2016 Census of Population and Housing (2016). http://www.bcstats.gov.bc.ca/
StatisticsBySubject/Census/2016Census/PopulationHousing.aspx. Accessed 17 Mar 2017
2. British Columbia Ministry of Environment Environmental (BCMoE), Air Quality in Prince
George Summary Report June 2016. British Columbia Ministry of Environment (2016), 23 p
3. P.L Jackson, J. Albino, C. Birch, B. Nilson, J. Pawluk and T. Tereshchak, Trends in fine particulate
matter (PM2.5) concentrations in Prince George, British Columbia, Canada. Natural Resources
and Environmental Studies Institute. Research Extension Note, no. 11 (University of Northern
British Columbia, Prince George, BC, Canada, 2017), 21 p
4. M. Noullett, P.L. Jackson, M. Brauer, Winter measurements of personal exposure and ambient
fine particle mass, sulphate and light absorbing components in a northern community. Atmos.
Environ. 40, 1971–1990 (2006)