Assessing Potential Climate Change Impacts on Local Air Quality Using AERMOD
Model results in this study show that the modelled maximum ground level concentrations could vary significantly with the choice of meteorological data periods and source configurations, mainly due to changes in the climatology of wind speeds, their distribution and temperature. Modelled maximum ground-level concentrations could vary by as much as 30% during the historical period (1996–2016), and could decrease by over 50% for most low-level sources in the future (2051–2055) with projected climate change.
- 1.H. Liu, J. Liu, Assessing potential climate change impacts on small scale air dispersion modelling practices in Ontario—A case study with AERMOD, in The 108th Air and Waste Management Association Annual Conference and Exhibition (ACE 2015) Proceedings, 22–25 June 2015 (Raleigh, North Carolina, USA, 2015), pp. 11–23Google Scholar
- 2.MOECC, Air dispersion modelling guideline for Ontario, version 3.0, PIBs # 5165e03 (2017)Google Scholar
- 3.University of Regina, Ontario climate change data portal (2018), http://ontarioccdp.ca/
- 4.US EPA, AERMOD modelling system (2016), https://www.epa.gov/scram/air-quality-dispersion-modeling-preferred-and-recommended-models#aermod
- 5.US EPA, Revision to the guideline on air quality models: adoption of a preferred general purpose (flat and complex terrain) dispersion model and other revisions, final rule. Fed. Regist. 70(216) (2005)Google Scholar