Evidence map›Paper›PMID 28468246›Full record

ArticleInternational journal of environmental research and public health2017

The Relationship of PM Variation with Visibility and Mixing-Layer Height under Hazy/Foggy Conditions in the Multi-Cities of Northeast China.

Hujia Zhao, Huizheng Che, Yanjun Ma, Yangfeng Wang, Hongbin Yang, Yuche Liu, Yaqiang Wang, Hong Wang, Xiaoye Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Understanding the Influence of Crop Residue Burning on PMInternational journal of environmental research and public health · 2018
    Article
  5. 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

9 authors.

Hujia ZhaoState Key Laboratory of Severe Weather (LASW) and Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, CMA, Beijing 100081, China. tjzhj4659@sina.com.
Huizheng CheState Key Laboratory of Severe Weather (LASW) and Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, CMA, Beijing 100081, China. chehz@camscma.cn.
Yanjun MaInstitute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China. mayanjun0917@163.com.
Yangfeng WangInstitute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China. wyf_7818@163.com.
Hongbin YangInstitute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China. laoyang105@163.com.
Yuche LiuInstitute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China. liuyuche@sina.cn.
Yaqiang WangState Key Laboratory of Severe Weather (LASW) and Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, CMA, Beijing 100081, China. yaqiang_w@163.com.
Hong WangState Key Laboratory of Severe Weather (LASW) and Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, CMA, Beijing 100081, China. wangh@camscma.cn.
Xiaoye ZhangState Key Laboratory of Severe Weather (LASW) and Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, CMA, Beijing 100081, China. xiaoye@camscma.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The variations of visibility, PM-mass concentration and mixing-layer height (MLH) in four major urban/industry regions (Shenyang, Anshan, Benxi and Fushun) of central Liaoning in Northeast China are evaluated from 2009 to 2012 to characterize their dynamic effect on air pollution. The annual mean visibilities are about 13.7 ± 7.8, 13.5 ± 6.5, 12.8 ± 6.1 and 11.5 ± 6.8 km in Shenyang, Anshan, Benxi and Fushun, respectively. The pollution load (PM × MLH) shows a weaker vertical diffusion in Anshan, with a higher PM concentration near the surface. High concentrations of fine-mode particles may be partially attributed to the biomass-burning emissions from September in Liaoning Province and surrounding regions in Northeast China as well as the coal burning during the heating period with lower MLH in winter. The visibility on non-hazy fog days is about 2.5-3.0 times higher than that on hazy and foggy days. The fine-particle concentrations of PM

Indexed as

Air PollutantsAir PollutionBiomassChinaCitiesCoalEnvironmental MonitoringParticulate MatterSeasonsWeatherAir PollutantsCoalParticulate MatterMLHmulti-citiesNortheast ChinaPMvisibility

Identifiers

PMID28468246
PMCPMC5451922

What OpenQuestion holds

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Registered trials

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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.