Evaluating the impact of evolving green and grey urban infrastructure on local particulate pollution around city square parks

The relationship between green and grey urban infrastructure, local meteorological conditions, and traffic-related air pollution is complex and dynamic. This case study examined the effect of evolving morphologies around a city square park in Dublin and explores the twin impacts of local urban development (grey) and maturing parks (green) on particulate matter (PM) pollution. A fixed air quality monitoring campaign and computational fluid dynamic modelling (ENVI-met) were used to assess current (baseline) and future scenarios. The baseline results presented the distribution of PM in the study area, with bimodal (PM<sub>2.5</sub>) and unimodal (PM<sub>10</sub>) diurnal profiles. The optimal vegetation height for air quality within the park also differed by wind direction with 21 m vegetation optimal for parallel winds (10.45% reduction) and 7 m vegetation optimal for perpendicular winds (30.36% reduction). Increased building heights led to higher PM<sub>2.5</sub> concentrations on both footpaths ranging from 25.3 to 37.0% under perpendicular winds, whilst increasing the height of leeward buildings increased PM<sub>2.5</sub> concentrations by up to 30.9% under parallel winds. The findings from this study provide evidence of the importance of more in-depth analysis of green and grey urban infrastructure in the urban planning decision-making process to avoid deteriorating air quality conditions around city square parks.

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Publication Details

Journal
Scientific Reports
Published
2024-08-09
DOI
https://doi.org/10.1038/s41598-024-68252-7
Citations
3
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.94

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article

Evaluating the impact of evolving green and grey urban infrastructure on local particulate pollution around city square parks

Brian Broderick, Kiran A Apsunde, Hong-di He, Zhong‐Ren Peng et al.
3 citations
Scientific Reports
Air Quality and Health Impacts
0.94
article

Evaluating the impact of evolving green and grey urban infrastructure on local particulate pollution around city square parks

Brian Broderick, Kiran A Apsunde, Hong-di He, Zhong‐Ren Peng, Meng-Yi Jin, John Gallagher
article en
3 citations

Abstract

The relationship between green and grey urban infrastructure, local meteorological conditions, and traffic-related air pollution is complex and dynamic. This case study examined the effect of evolving morphologies around a city square park in Dublin and explores the twin impacts of local urban development (grey) and maturing parks (green) on particulate matter (PM) pollution. A fixed air quality monitoring campaign and computational fluid dynamic modelling (ENVI-met) were used to assess current (baseline) and future scenarios. The baseline results presented the distribution of PM in the study area, with bimodal (PM<sub>2.5</sub>) and unimodal (PM<sub>10</sub>) diurnal profiles. The optimal vegetation height for air quality within the park also differed by wind direction with 21 m vegetation optimal for parallel winds (10.45% reduction) and 7 m vegetation optimal for perpendicular winds (30.36% reduction). Increased building heights led to higher PM<sub>2.5</sub> concentrations on both footpaths ranging from 25.3 to 37.0% under perpendicular winds, whilst increasing the height of leeward buildings increased PM<sub>2.5</sub> concentrations by up to 30.9% under parallel winds. The findings from this study provide evidence of the importance of more in-depth analysis of green and grey urban infrastructure in the urban planning decision-making process to avoid deteriorating air quality conditions around city square parks.

Scientific ReportsVol. 14(1)
Ajman University (AE), Shanghai Jiao Tong University (CN), Trinity College Dublin (IE), University of Florida (US)
European Commission, National Natural Science Foundation of China, China Scholarship Council, Horizon 2020 Framework Programme
Sustainable cities and communities
Openalex Percentile: Top 25%
Air Quality and Health Impacts
0.94
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