Evidence map›Paper›PMID 38075598›Full record

ArticleEco-Environment & Health2022

Highly spatial and temporal bottom-up vehicle emission characterization and its control in a typical ecology-preservation area.

Pengju Bie, Fanyuan Deng, Bi Chen, Li Wang, Fan Yang, Jianguo Zhou, Huan Liu, Kebin He

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Eco-Environment & Health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Pengju BieState Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, International Joint Laboratory on Low Carbon Clean Energy Innovation, Tsinghua University, Beijing 100084, China.
Fanyuan DengState Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, International Joint Laboratory on Low Carbon Clean Energy Innovation, Tsinghua University, Beijing 100084, China.
Bi ChenTechnique Center of Kweichow Moutai Co. Ltd., Renhuai 564501, China.
Li WangTechnique Center of Kweichow Moutai Co. Ltd., Renhuai 564501, China.
Fan YangTechnique Center of Kweichow Moutai Co. Ltd., Renhuai 564501, China.
Jianguo ZhouTechnique Center of Kweichow Moutai Co. Ltd., Renhuai 564501, China.
Huan LiuState Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, International Joint Laboratory on Low Carbon Clean Energy Innovation, Tsinghua University, Beijing 100084, China.
Kebin HeState Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, International Joint Laboratory on Low Carbon Clean Energy Innovation, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Chishui River Valley is a microscale ecology-preservation area with industrial clusters. The significance of evaluating vehicular emissions has been gradually highlighted with the rapid development of the local transportation and tourism sectors. This study provides the first estimates based on both bottom-up and top-down approaches. The annual total emissions of CO, NO

Indexed as

Bottom-up methodEcology-preservationEmissionLow-emission zoneMitigationVehicle

Identifiers

PMID38075598
PMCPMC10702909

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.