Impact of single and combined local air pollution mitigation measures in an urban environment.

Computational fluid dynamics (CFD) modelling Green infrastructure (GI) Low emission zones (LEZ) Photocatalytic materials Traffic-related air pollution Urban air quality

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
04 Mar 2024
Historique:
received: 17 10 2023
revised: 22 02 2024
accepted: 01 03 2024
medline: 7 3 2024
pubmed: 7 3 2024
entrez: 6 3 2024
Statut: aheadofprint

Résumé

Urban air pollution is one of the most important environmental problems for human health and several strategies have been developed for its mitigation. The objective of this study is to assess the impact of single and combined mitigation measures on concentrations of air pollutants emitted by traffic at pedestrian level in the same urban environment. The effectiveness of different scenarios of green infrastructure (GI), the implementation of photocatalytic materials and traffic low emission zones (LEZ) are investigated, as well as several combinations of LEZ and GI. A wide set of scenarios is simulated through Computational Fluid Dynamics (CFD) modelling for two different wind directions (perpendicular (0°) and 45° wind directions). Wind flow for the BASE scenario without any measure implemented was previously evaluated using wind-tunnel measurements. Air pollutant concentrations for this scenario are compared with the results obtained from the different mitigation scenarios. Reduction of traffic emissions through LEZ is found to be the most effective single measure to improve local air quality. However, GI enhances the effects of LEZ, which makes the combination of LEZ + GI a very effective measure. The effectiveness of this combination depends on the GI layout, the intensity of emission reduction in the LEZ and the traffic diversion in streets surrounding the LEZ. These findings, in line with previous literature, suggest that the implementation of GI may increase air pollutant concentrations at pedestrian level for some cases. However, this study highlights that this negative effect on air quality can turn into positive when used in combination with reductions of local traffic emissions.

Identifiants

pubmed: 38447731
pii: S0048-9697(24)01582-1
doi: 10.1016/j.scitotenv.2024.171441
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

171441

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

J L Santiago (JL)

Atmospheric Modelling Unit, Environmental Department, CIEMAT, Av. Complutense 40, 28040 Madrid, Spain. Electronic address: jl.santiago@ciemat.es.

E Rivas (E)

Atmospheric Modelling Unit, Environmental Department, CIEMAT, Av. Complutense 40, 28040 Madrid, Spain; Vicerrectorado de Investigación, Innovación y Doctorado, Universidad Politécnica de Madrid (UPM), Madrid, Spain.

B Sánchez (B)

Atmospheric Modelling Unit, Environmental Department, CIEMAT, Av. Complutense 40, 28040 Madrid, Spain.

R Buccolieri (R)

Department of Environmental and Biological Sciences and technologies, Laboratory of Micrometeorology, University of Salento, S.P. 6 Lecce-Monteroni, 73100 Lecce, Italy.

M G Vivanco (MG)

Atmospheric Modelling Unit, Environmental Department, CIEMAT, Av. Complutense 40, 28040 Madrid, Spain.

A Martilli (A)

Atmospheric Modelling Unit, Environmental Department, CIEMAT, Av. Complutense 40, 28040 Madrid, Spain.

F Martín (F)

Atmospheric Modelling Unit, Environmental Department, CIEMAT, Av. Complutense 40, 28040 Madrid, Spain.

Classifications MeSH