We’re used to worrying about the pollution that comes out of a car’s tailpipe, but another study dataset is likely to amplify concerns about the pollution from tire wear. As tires roll over the pavement, they release tiny particles that become airborne. These tire-wear particles have been recognized as one of the major categories of microplastic pollution.
“We measure those as part of what we call plastics, in general,” says Galarneau. At measurement sites near Highway 401, plastics were recorded at the highest levels, with tire-wear particles making up the bulk of the plastics measured. In other areas of the city, instead of tire-wear particles, fibres from fabrics dominated.
A final highlight for Galarneau and her colleagues is that the data will allow them to improve existing models that plot and predict the movement of airborne chemicals in much the same way weather models forecast pressure changes and precipitation. Current models have a coarse 2.5-kilometre resolution. But in cities, she says, conditions change at a much finer scale.
Moving “2.5 kilometres in a city could bring you to a very different type of environment. You could be in a park or you could be beside Highway 401.” By incorporating the copious study data, the goal is to drive the model resolution down to something as fine as 250 metres.
She stresses that this collection and modelling does not simply satisfy scientific curiosity. There are real-world policy implications and benefits. “We use these models to test different policy scenarios,” says Galarneau. “If a policymaker decides that they want to cut emissions from a particular source, we use these models to say, ‘What would be the impact of that? How much would it improve air quality?’ We want to get this modeling piece right so that we can make good, credible forecasts and inform the policies that government looks to make.”
This story was created in partnership with Environment and Climate Change Canada.