Air pollution abatement from green-blue-grey infrastructure

Kumar, Prashant; Corada, Karina; Debele, Sisay E.; Mendes Emygdio, Ana Paula; Abhijith, K.V.; Hassan, Hala; Broomandi, Parya; Baldauf, Richard; Calvillo, Nerea; Cao, Shi-Jie; Desrivières, Sylvane; Feng, Zhuangbo; Gallagher, John; Rodding Kjeldsen, Thomas; Khan, Anwar Ali; Khare, Mukesh; Kota, Sri Harsha; Li, Baizhan; Malham, Shelagh K.; McNabola, Aonghus; Namdeo, Anil; Kumar Nema, Arvind; Reis, Stefan ORCID: https://orcid.org/0000-0003-2428-8320; Nagendra SM, Shiva; Tiwary, Abhishek; Vardoulakis, Sotiris; Wenk, Jannis; Wang, Fang; Wang, Junqi; Woolf, Darren; Yao, Runming; Jones, Laurence ORCID: https://orcid.org/0000-0002-4379-9006. 2024 Air pollution abatement from green-blue-grey infrastructure. The Innovation Geoscience, 2 (4), 100100. 25, pp. 10.59717/j.xinn-geo.2024.100100

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Abstract/Summary

Green-blue-grey infrastructure (GBGI) offers environmental benefits in urban areas, yet its impact on air pollution is under-researched, and the literature fragmented. This review evaluates quantitative studies on GBGI's capability to mitigate air pollution, compares their specific pollutant removal processes, and identifies areas for further investigation. Of the 51 GBGI types reviewed, only 22 provided quantitative pollution reduction data. Street trees and mixed-GBGI are the most studied GBGIs, with efficacy influenced by wind, GBGI type vegetation characteristics, and urban morphology. Negative percentages denote worsening air quality, while positive reflect improvement. The 22 different GBGI grouped into eight main categories provide an average (± s.d.) reduction in air pollution of 16 ± 21%, with substantial reduction shown by linear features (23 ± 21%), parks (22 ± 34%), constructed GI (14 ± 25%), and other non-sealed urban areas (14 ± 20%). Other individual GBGI reducing air pollutants include woodlands (21 ± 38%), hedges (14 ± 25%), green walls (14 ± 27%), shrubland (12 ± 20%), green roofs (13 ± 23%), parks (9±36%), and mixed-GBGI (7 ± 23 %). On average, GBGI reduced PM1, PM2.5, PM10, UFP and BC by 13 ± 21%, 1 ± 25%, 7 ± 42%, 27 ± 27%, and 16 ± 41%, respectively. GBGI also lowered gaseous pollutants CO, O3 and NOx by 10 ± 21%, 7 ± 21%, and 12 ± 36%, on average, respectively. Linear (e.g., street trees and hedges) and constructed (e.g., green walls) features can impact local air quality, positively or negatively, based on the configuration and density of the built environment. Street trees generally showed adverse effects in street canyons and beneficial outcomes in open-road conditions. Climate change could worsen air pollution problems and impact GBGI effectiveness by shifting climate zones. In The Innovation Geoscience 2(4): 100100, December 10, 2024 Europe and China, climate shifts are anticipated to affect 8 of the 22 GBGIs, with the rest expected to remain resilient. Despite GBGI's potential to enhance air quality, the meta-analysis highlights the need for a standardised reporting structure or to enable meaningful comparisons and effectively integrate findings into urban pollution and climate strategies.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.59717/j.xinn-geo.2024.100100
UKCEH and CEH Sections/Science Areas:	UKCEH Fellows Soils and Land Use (Science Area 2017-24)
ISSN:	2959-8753
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Ecology and Environment Health Atmospheric Sciences
Date made live:	24 Apr 2025 09:25 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/539304

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