Evidence map›Paper›PMID 30478772›Full record

ArticleEnvironmental science and pollution research international2019

Characteristics and formation mechanisms of autumn haze pollution in Chengdu based on high time-resolved water-soluble ion analysis.

Pan Wu, Xiaojuan Huang, Junke Zhang, Bin Luo, Jinqi Luo, Hongyi Song, Wei Zhang, Zhihan Rao, Yanpeng Feng, Jianqiang Zhang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2019. 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. Source apportionment of PMEnvironmental science and pollution research international · 2021
    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

10 authors.

Pan WuFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China.
Xiaojuan HuangPlateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610225, China.
Junke ZhangFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China. zhangjunke@home.swjtu.edu.cn.
Bin LuoSichuan Environmental Monitoring Center, Chengdu, 610074, China.
Jinqi LuoFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China.
Hongyi SongFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China.
Wei ZhangSichuan Environmental Monitoring Center, Chengdu, 610074, China.
Zhihan RaoSichuan Environmental Monitoring Center, Chengdu, 610074, China.
Yanpeng FengFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China.
Jianqiang ZhangFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China.

Funding

Fundamental Research Funds for the Central Universities 2682017CX080National Natural Science Foundation of China 41805095Sichuan Science and Technology Program 2018SZ0288
6 · The paper itself

Abstract

To investigate the characteristics and formation mechanisms of haze pollution in the autumn season in the Sichuan Basin, hourly concentrations of water-soluble inorganic ions in PM

Indexed as

Environmental MonitoringSeasonsAerosolsAir PollutantsChinaGasesNitratesParticulate MatterSulfatesVehicle EmissionsWaterAerosolsAir PollutantsGasesNitratesParticulate MatterSulfatesVehicle EmissionsWaterChengduGaseous precursorsHazePM2.5Water-soluble inorganic ions

Identifiers

PMID30478772

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.