Evidence map›Paper›PMID 29292783›Full record

ArticleInternational journal of environmental research and public health2017

Spatiotemporal Variations and Driving Factors of Air Pollution in China.

Dongsheng Zhan, Mei-Po Kwan, Wenzhong Zhang, Shaojian Wang, Jianhui Yu

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-based Weighted Co-word Analysis.International journal of environmental research and public health · 2020
    Article
  10. The Double-Edged Sword of Urbanization and Its Nexus with Eco-Efficiency in China.International journal of environmental research and public health · 2020
    Article
  11. Global and Geographically and Temporally Weighted Regression Models for Modeling PMInternational journal of environmental research and public health · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Characterization of Fine Particulate Matter and Associated Health Burden in Nanjing.International journal of environmental research and public health · 2018
    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.

Dongsheng ZhanKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. zhands@126.com.
Mei-Po KwanDepartment of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. mpk654@gmail.com.ORCID 0000-0001-8602-9258
Wenzhong ZhangKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. zhangwz@igsnrr.ac.cn.
Shaojian WangGuangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China. 1987wangshaojian@163.com.
Jianhui YuKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. yujh@igsnrr.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, severe and persistent air pollution episodes in China have drawn wide public concern. Based on ground monitoring air quality data collected in 2015 in Chinese cities above the prefectural level, this study identifies the spatiotemporal variations of air pollution and its associated driving factors in China using descriptive statistics and geographical detector methods. The results show that the average air pollution ratio and continuous air pollution ratio across Chinese cities in 2015 were 23.1 ± 16.9% and 16.2 ± 14.8%. The highest levels of air pollution ratio and continuous air pollution ratio were observed in northern China, especially in the Bohai Rim region and Xinjiang province, and the lowest levels were found in southern China. The average and maximum levels of continuous air pollution show distinct spatial variations when compared with those of the continuous air pollution ratio. Monthly changes in both air pollution ratio and continuous air pollution ratio have a U-shaped variation, indicating that the highest levels of air pollution occurred in winter and the lowest levels happened in summer. The results of the geographical detector model further reveal that the effect intensity of natural factors on the spatial disparity of the air pollution ratio is greater than that of human-related factors. Specifically, among natural factors, the annual average temperature, land relief, and relative humidity have the greatest and most significant negative effects on the air pollution ratio, whereas human factors such as population density, the number of vehicles, and Gross Domestic Product (GDP) witness the strongest and most significant positive effects on air pollution ratio.

Indexed as

CitiesEnvironmental MonitoringSpatio-Temporal AnalysisAir PollutantsAir PollutionAutomobile DrivingChinaGeographyHumansParticulate MatterSeasonsTemperatureAir PollutantsParticulate Matterair pollutionChinadriving factorsgeographical detectorspatiotemporal variations

Identifiers

PMID29292783
PMCPMC5750956

What OpenQuestion holds

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LicenceCC BY
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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.