Evidence map›Paper›PMID 34839393›Full record

ArticleEnvironmental monitoring and assessment2021

Analysis of atmospheric SO

Ruirui Huang, Tianzhen Ju, Huiping Dong, Jiale Duan, Jiachen Fan, Zhuohong Liang, Tunyang Geng

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2021. 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.

Ruirui HuangCollege of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, 730070, China.
Tianzhen JuCollege of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, 730070, China. 2440451626@qq.com.
Huiping DongGansu Industry Polytechnic College, Tianshui, 730070, China.
Jiale DuanCollege of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, 730070, China.
Jiachen FanCollege of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, 730070, China.
Zhuohong LiangCollege of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, 730070, China.
Tunyang GengCollege of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, 730070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Sichuan-Chongqing region is the leader and growth pole of economic development in western China. With the rapid development of economy and unique geographical environment, high concentration of sulfur dioxide air pollution has existed for a long time in Sichuan-Chongqing area. Based on 10 years of remote sensing data, this paper studies the temporal and spatial distribution characteristics, stability, and influencing factors of sulfur dioxide in this area. Based on potential sources, the impact of surrounding areas on sulfur dioxide in Sichuan and Chongqing is analyzed. The results shows that the spatial distribution of sulfur dioxide in the Sichuan-Chongqing region is higher in the southeast and lower in the west. The Midwest region has low fluctuation and good stability. The time distribution shows obvious seasonal regularity. The concentration of sulfur dioxide is affected by socio-economic factors and natural factors. In this study, it is found that the distribution of sulfur dioxide is closely related to PM

Indexed as

Air PollutantsAir PollutionChinaEnvironmental MonitoringParticulate MatterSulfur DioxideAir PollutantsParticulate MatterSulfur DioxideAir pollutionPotential contributionRemote sensing satelliteSpatiotemporal distributionStability

Identifiers

PMID34839393

What OpenQuestion holds

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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.