Evidence map›Paper›PMID 35574248›Full record

ArticleSN applied sciences2022

A potential controlling approach on surface ozone pollution based upon power big data.

Xin Wang, Weihua Gu, Feng Wang, Li Liu, Yu Wang, Xuemin Han, Zhouqing Xie

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SN applied sciences, 2022. 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

7 authors.

Xin WangState Grid Anhui Electric Power Research Institute, Hefei, 230026 Anhui China.
Weihua GuDepartment of Environmental Science and Technology, University of Science and Technology of China, Hefei, 230026 Anhui China.ORCID 0000-0002-5992-6284
Feng WangState Grid Anhui Electric Power CO. LTD, Hefei, 230026 Anhui China.
Li LiuState Grid Anhui Electric Power CO. LTD, Hefei, 230026 Anhui China.
Yu WangState Grid Anhui Electric Power Research Institute, Hefei, 230026 Anhui China.
Xuemin HanState Grid Anhui Electric Power Research Institute, Hefei, 230026 Anhui China.
Zhouqing XieDepartment of Environmental Science and Technology, University of Science and Technology of China, Hefei, 230026 Anhui China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface ozone pollution has attracted extensive attention with the decreasing of haze pollution, especially in China. However, it is still difficult to efficiently control the pollution in time despite numbers of reports on mechanism of ozone pollution. Here we report a method for implementing effective control of ozone pollution through power big data. Combining the observation of surface ozone, NO Supplementary Information: The online version contains supplementary material available at 10.1007/s42452-022-05045-5.

Indexed as

Generalized additive models (GAMs)Power big dataSurface ozone pollutionVolatile organic compounds(VOCs)

Identifiers

PMID35574248
PMCPMC9086420

What OpenQuestion holds

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LicenceCC BY
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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.