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Estimates of air pollution mitigation with green roofs using the UFORE model

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posted on 23.05.2021, 14:47 by Beth Anne Currie
The purpose of this study was to investigate the effect of green roofs on air pollution in urban Toronto. The researchers looked for synergistic effects in air pollution mitigation by manipulating quantities and species of trees and shrubs at grade level and grass on roofs within the study area. The effect of these vegetation manipulations were simulated using the Urban Forest Effects (UFORE) computer model developed by the USDA Forest Service Northeastern Regional Station, Syracuse, New York. Originally UFORE was developed to help forestry managers and researchers quantify urban forest structure and risks based on standard field, meteorological and pollution data. While UFORE contains four different assessment modules A - D, Module D quantifies the effect of vegetation on air contaminants such as NO₂, SO₂, CO, PM₁₀ and ozone. UFORE also provides data about hourly air contaminant removal rates and it predicts an economic externality value in USD for total air contaminant levels. Results of the study indicate that grass on roofs (green roofs) could play a significant role in air pollution mitigation in an urban neighbourhood. By extension, a 10-20% increase in the surface area dedicated to green roofs on downtown Toronto buildings would improve air quality and quality of life for citizens of Toronto.





Master of Applied Science


Environmental Applied Science and Management

Granting Institution

Ryerson University

LAC Thesis Type