Evidence map›Paper›PMID 23320082›Full record

ArticlePloS one2013

Estimation of citywide air pollution in Beijing.

Jin-Feng Wang, Mao-Gui Hu, Cheng-Dong Xu, George Christakos, Yu Zhao

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Impact of Exposure to Ambient Fine Particulate Matter Pollution on Adults with Knee Osteoarthritis.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Article
  7. The association between PMInternational journal of biometeorology · 2020
    Article
  8. Effects of Population Weighting on PMJournal of environmental and public health · 2020
    Article
  9. Article
  10. Association Between PMInternational journal of environmental research and public health · 2018
    Article
  11. Article
  12. A Deep CNN-LSTM Model for Particulate Matter (PMSensors (Basel, Switzerland) · 2018
    Article
  13. Article
  14. Spatiotemporal Variations and Driving Factors of Air Pollution in China.International journal of environmental research and public health · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Applying land use regression model to estimate spatial variation of PM₂.₅ in Beijing, China.Environmental science and pollution research international · 2015
    Article
  19. Article
  20. 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

5 authors.

Jin-Feng WangState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. wangjf@lreis.ac.cn
Mao-Gui Hu
Cheng-Dong Xu
George Christakos
Yu Zhao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been discrepancies between the daily air quality reports of the Beijing municipal government, observations recorded at the U.S. Embassy in Beijing, and Beijing residents' perceptions of air quality. This study estimates Beijing's daily area PM(2.5) mass concentration by means of a novel technique SPA (Single Point Areal Estimation) that uses data from the single PM(2.5) observation station of the U.S Embassy and the 18 PM(10) observation stations of the Beijing Municipal Environmental Protection Bureau. The proposed technique accounts for empirical relationships between different types of observations, and generates best linear unbiased pollution estimates (in a statistical sense). The technique extends the daily PM(2.5) mass concentrations obtained at a single station (U.S. Embassy) to a citywide scale using physical relations between pollutant concentrations at the embassy PM(2.5) monitoring station and at the 18 official PM(10) stations that are evenly distributed across the city. Insight about the technique's spatial estimation accuracy (uncertainty) is gained by means of theoretical considerations and numerical validations involving real data. The technique was used to study citywide PM(2.5) pollution during the 423-day period of interest (May 10, 2010 to December 6, 2011). Finally, a freely downloadable software library is provided that performs all relevant calculations of pollution estimation.

Indexed as

Air PollutionChinaEnvironmental MonitoringHumansModels, StatisticalParticulate MatterUrban HealthParticulate Matter

Identifiers

PMID23320082
PMCPMC3539974

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.