Evidence map›Paper›PMID 33914181›Full record

ArticleEnvironmental monitoring and assessment2021

Spatiotemporal characteristics of nitrogen dioxide pollution in mainland China from 2015 to 2018.

Xinglin Chen, Xiulan Han, Junming Li

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Epidemiological and Toxicological Intersection of Air Pollution and Dementia.Reviews of environmental contamination and toxicology · 2025
    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

3 authors.

Xinglin Chen *School of Statistics, Shanxi University of Finance and Economics, Wucheng Road 696, Taiyuan, 030006, China. ChenXinglin_@sohu.com.ORCID http://orcid.org/0000-0002-6268-2065
Xiulan HanSchool of Statistics, Shanxi University of Finance and Economics, Wucheng Road 696, Taiyuan, 030006, China.
Junming Li *School of Statistics, Shanxi University of Finance and Economics, Wucheng Road 696, Taiyuan, 030006, China.

Funding

Youth Fund of General Project on Humanities and Social Science Research of the Ministry of Education of the People's Republic of China 19YJCZH079
6 · The paper itself

Abstract

With the rapid industrial development and urbanisation in China, nitrogen dioxide [Formula: see text] pollution has become a severe environmental problem that threatens public health. Based on hourly concentration monitoring data of the six main air pollutants in mainland China, a space-time Bayesian hierarchy model was employed to analyse the spatiotemporal trends of the absolute and relative [Formula: see text] concentrations (i.e., the proportion of [Formula: see text] in the six main air pollutants: [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text]). Both the absolute and relative [Formula: see text] concentrations were higher in the autumn and winter of each year during the study period. Four regions in particular-the North China Plain, the Yangtze River Delta, the Sichuan Basin, and the Pearl River Delta-experience the largest amounts of [Formula: see text] pollution, with a high local magnitude of more than 1.0 relative to the overall absolute and relative [Formula: see text] concentrations; this affects an area with a human population of 571.85 million, which is 42.47% of the total population. Central China (i.e., the Shaanxi-Shanxi-Henan region) and the Tarim Basin (northwest of Xinjiang) were heavily polluted by [Formula: see text] and other pollutants throughout the year, with a high local magnitude of more than 1.0 relative to the overall absolute [Formula: see text] concentration. The [Formula: see text] pollution in most of the cities in western and southern China is less serious, along with cities in the northeast. Local trends reveal that in general, cities with high [Formula: see text] pollution are accompanied by upward trends. Specifically, except for in the summer, there were about 86 cities showing the increasing trend, of which 66 cities are located in areas with higher absolute and relative [Formula: see text] concentrations. Taiyuan, for example, represents the maximal local trend, with an average annual increase of 4.39 (95% CI 1.61-7.43) [Formula: see text] and 0.43 (95% CI 0.16-0.73) %, respectively, which will lead to further increases in the population exposure-risk in heavily polluted areas.

Indexed as

Air PollutantsAir PollutionBayes TheoremChinaCitiesEnvironmental MonitoringHumansNitrogen DioxideParticulate MatterAir PollutantsNitrogen DioxideParticulate MatterAir pollutantBayesian statisticsconcentrationsGround monitoring

Identifiers

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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.