Evidence map›Paper›PMID 34208506›Full record

ArticleInternational journal of environmental research and public health2021

Traffic Density-Related Black Carbon Distribution: Impact of Wind in a Basin Town.

Borut Jereb, Brigita Gajšek, Gregor Šipek, Špela Kovše, Matevz Obrecht

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

5 authors at 1 institution in 1 country.

Borut JerebFaculty of Logistics, University of Maribor, Mariborska cesta 7, 3000 Celje, Slovenia.ORCID 0000-0001-5104-0852
Brigita GajšekFaculty of Logistics, University of Maribor, Mariborska cesta 7, 3000 Celje, Slovenia.ORCID 0000-0001-5744-7151
Gregor ŠipekFaculty of Logistics, University of Maribor, Mariborska cesta 7, 3000 Celje, Slovenia.
Špela KovšeFaculty of Logistics, University of Maribor, Mariborska cesta 7, 3000 Celje, Slovenia.
Matevz ObrechtFaculty of Logistics, University of Maribor, Mariborska cesta 7, 3000 Celje, Slovenia.ORCID 0000-0001-8301-7382
University of Maribor · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Black carbon is one of the riskiest particle matter pollutants that is harmful to human health. Although it has been increasingly investigated, factors that depend on black carbon distribution and concentration are still insufficiently researched. Variables, such as traffic density, wind speeds, and ground levels can lead to substantial variations of black carbon concentrations and potential exposure, which is even riskier for people living in less-airy sites. Therefore, this paper "fills the gaps" by studying black carbon distribution variations, concentrations, and oscillations, with special emphasis on traffic density and road segments, at multiple locations, in a small city located in a basin, with frequent temperature inversions and infrequent low wind speeds. As wind speed has a significant impact on black carbon concentration trends, it is critical to present how low wind speeds influence black carbon dispersion in a basin city, and how black carbon is dependent on traffic density. Our results revealed that when the wind reached speeds of 1 ms

Indexed as

Air PollutantsAir PollutionCarbonCitiesEnvironmental MonitoringHumansParticulate MatterVehicle EmissionsWindAir PollutantsCarbonParticulate MatterVehicle Emissionsair pollutionbasin cityblack carbontraffic densitytraffic pollutionwind conditions

Identifiers

PMID34208506
PMCPMC8296370
OpenAlexW3167038669

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.