Evidence map›Paper›PMID 39122758›Full record

ArticleScientific reports2024

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

Meng-Yi Jin, Kiran A Apsunde, Brian Broderick, Zhong-Ren Peng, Hong-Di He, John Gallagher

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Meng-Yi JinCenter for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research, State-Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Kiran A ApsundeDepartment of Civil, Structural & Environmental Engineering, Trinity College Dublin, University of Dublin, Dublin, Ireland.
Brian BroderickDepartment of Civil, Structural & Environmental Engineering, Trinity College Dublin, University of Dublin, Dublin, Ireland.
Zhong-Ren PengiAdapt: International Center for Adaptation Planning and Design, College of Design, Construction and Planning, University of Florida, Florida, 32611-5706, USA.
Hong-Di HeCenter for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research, State-Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
John GallagherDepartment of Civil, Structural & Environmental Engineering, Trinity College Dublin, University of Dublin, Dublin, Ireland. j.gallagher@tcd.ie.

Funding

China Scholarship Council 202006230292Horizon 2020 Framework Programme 869764National Natural Science Foundation of China 12072195
6 · The paper itself

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

Indexed as

City squares parkENVI-metNature-based solutionsParticulate matterUrban morphology

Identifiers

PMID39122758
PMCPMC11316050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.