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

被引：248

作者：

Currie B.A. ^{[1
]}

Bass B. ^{[2
]}

机构：

[1] Centre for Social Innovation, Toronto, ON M5V 2A8

[2] Adaptation and Impacts Research Group (AIRG), University of Toronto, Atmospheric and Climate Science Directorate (ACSD), Toronto, ON M5S 3E8

来源：

Urban Ecosystems | 2008年 / 11卷 / 4期

关键词：

Air contaminants; Air quality; Benefits; Density; Green roof; Planning; Shrubs; Smart growth; Trees; UFORE Model; Urban;

D O I：

10.1007/s11252-008-0054-y

中图分类号：

学科分类号：

摘要：

The purpose of this study was to investigate the effect of green roofs and green walls on air pollution in urban Toronto. The research looked at the synergistic effects on air pollution mitigation of different combinations of vegetation by manipulating quantities of trees, shrubs, green roofs and green walls in the study area. The effects of these manipulations were simulated with the Urban Forest Effects (UFORE) model developed by the USDA Forest Service Northeastern Regional Station. While UFORE contains several modules, Module-D quantifies the levels of air pollution for contaminants such as NO2, S02, CO, PM10 and ozone as well as hourly pollution removal rates and the economic value of pollutant removal. Six vegetation scenarios were developed within the Toronto study area to compare different subsets of vegetation and their effect on air contaminants. Results of the study indicate that grass on roofs (extensive green roofs) could augment the effect of trees and shrubs in air pollution mitigation, placing shrubs on a roof (intensive green roofs) would have a more significant impact. By extension, a 10-20% increase in the surface area for green roofs on downtown buildings would contribute significantly to the social, financial and environmental health of all citizens. © 2008 Springer Science + Business Media, LLC.

引用

页码：409 / 422

页数：13

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