Abstract

Surface-level ozone (O3) continues to be a significant health risk in the Greater Toronto Hamilton Area (GTHA) of Canada even though precursor emissions in the area have decreased significantly over the past two decades. In July 2015, Environment and Climate Change Canada (ECCC) led an intensive field study coincident with Toronto hosting the 2015 Pan American Games. During the field study, the daily 1-h maximum O3 standard (80 ppbv) was exceeded twice at a measurement site in North Toronto, once on July 12 and again on July 28. In this study, ECCC’s 2.5-km configuration of the Global Environmental Multi-scale (GEM) meteorological model was combined with the Modelling Air-quality and CHemistry (MACH) on-line atmospheric chemistry model and the Town Energy Balance (TEB) urban surface parameterization to create a new urban air quality modelling system. In general, the model results showed that the nested 2.5-km grid-spaced urban air quality model performed better in statistical scores compared to the piloting 10-km grid-spaced GEM-MACH model without TEB. Model analyses were performed with GEM-MACH-TEB for the two exceedance periods. The local meteorology for both cases consisted of light winds with the highest O3 predictions situated along lake-breeze fronts. For the July 28 case, O3 production sensitivity analysis along the trajectory of the lake-breeze circulation showed that the region of most efficient O3 production occurred in the updraft region of the lake-breeze front, as the precursors to O3 formation underwent vertical mixing. In this updraft region, the ozone production switches from volatile organic compound (VOC)-sensitive to NOx-sensitive, and the local net O3 production rate reaches a maximum. This transition in the chemical regime is a previously unidentified factor for why O3 surface-level mixing ratios maximize along the lake-breeze front. For the July 12 case, differences between the model and observed Lake Ontario water temperature and the strength of lake-breeze opposing wind flow play a role in differences in the timing of the lake-breeze, which impacts the predicted location of the O3 maximum north of Toronto.

Highlights

  • A large fraction of the world population lives in urban areas where they are exposed to harmful air pollutants

  • The first goal of this paper is to assess the performance of the high-resolution 2.5-km Global Environmental Multi-scale (GEM)-modelling air quality and chemistry (MACH)-town energy balance (TEB) model for predicting O3 and NO2 within the Greater Toronto Hamilton Area (GTHA) during the Pan American Games study

  • Experimental Methods resulted in a shift in O3 production from volatile organic compound (VOC)-to-NOx sensitive conditions

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Summary

Introduction

A large fraction of the world population lives in urban areas where they are exposed to harmful air pollutants. In addition to respiratory effects, there are cardiovascular, metabolic function, pregnancy, neurologic and psychiatric outcomes associated with human exposure to air pollution [2,3,4] All of these effects lead to more emergency room visits, hospitalizations, absenteeism and higher health care costs. Another recent study found that paediatric asthma incidence is associated with exposure to traffic-related air pollution [5]. They estimate that 1-in-5 new cases of childhood asthma are linked to on-road mobile emissions in a large North American city. All of these recent studies highlight how urban air pollution continues to negatively impact human health

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