Evidence map›Paper›PMID 34068705›Full record

ArticleInternational journal of environmental research and public health2021

Different Time Scale Distribution of Negative Air Ions Concentrations in Mount Wuyi National Park.

Changshun Li, Ziyang Xie, Bo Chen, Kaijin Kuang, Daowei Xu, Jinfu Liu, Zhongsheng He

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 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
4.5field-weighted citation impact, top 6% of its field
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, 21 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Changshun LiFujian Meteorological Service Center, Fuzhou 350001, China.
Ziyang XieCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Bo ChenCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Kaijin KuangCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Daowei XuCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Jinfu LiuCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Zhongsheng HeCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0002-7031-7340
Fujian Agriculture and Forestry University · CNZhangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concentration of negative air ions (NAIs) is an important indicator of air quality. Here, we analyzed the distribution patterns of negative air ion (NAI) concentrations at different time scales using statistical methods; then described the contribution of meteorological factors of the different season to the concentration of NAIs using correlation analysis and regression analysis; and finally made the outlook for the trends of NAI concentrations in the prospective using the auto regressive integrated moving average (ARIMA) models. The dataset of NAI concentrations and meteorological factors measured at the fixed stations in the Mountain Wuyi National Park were obtained from the Fujian Provincial Meteorological Bureau. The study showed that NAI concentrations were correlated with relative humidity spanning all seasons. Water was an important factor affecting the distribution of NAI concentrations in different time series. Compared with other ARIMA models, the outlook value of the ARIMA (

Indexed as

Air PollutantsAir PollutionAirIonsParks, RecreationalProspective StudiesSeasonsAir PollutantsIonsARIMA modelhealthnegative air ions (NAIs)time series

Identifiers

PMID34068705
PMCPMC8126208
OpenAlexW3160281771

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.