Spatiotemporal Analysis of Complex Emission Dynamics in Port Areas Using High-Density Air Sensor Network.

Jun Pan, Ying Wang, Xiaoliang Qin, Nirmal Kumar Gali, Qingyan Fu, Zhi Ning

Abstract read

In one paragraph

Article in Toxics, 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.

Jun PanShanghai Environmental Monitoring Center, Shanghai 200233, China.

Ying WangSapiens Environmental Technology Co., Ltd., Dongguan 523690, China.

Xiaoliang QinDivision of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong 999077, China.

Nirmal Kumar GaliDivision of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong 999077, China.

Qingyan FuState Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China.

Zhi NingDivision of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong 999077, China.ORCID 0000-0002-8223-1501

Funding

National Key Research and Development Program of China 2022YFC3703500Research Grants Council 16212022

6 · The paper itself

Abstract

Cargo terminals, as pivotal hubs of mechanical activities, maritime shipping, and land transportation, are significant sources of air pollutants, exhibiting considerable spatiotemporal heterogeneity due to the complex and irregular nature of emissions. This study employed a high-density air sensor network with 17 sites across four functional zones in two Shanghai cargo terminals to monitor NO and NO

Indexed as

cargo terminalslowest percentile methodmaritime shipping emissionsnitric oxide

Identifiers

PMID39453180

DOI10.3390/toxics12100760

PMCPMC11510770

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.