Evidence map›Paper›PMID 31394837›Full record

ArticleInternational journal of environmental research and public health2019

Understanding the Spatial-Temporal Patterns and Influential Factors on Air Quality Index: The Case of North China.

Wenxuan Xu, Yongzhong Tian, Yongxue Liu, Bingxue Zhao, Yongchao Liu, Xueqian Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 50 citations in OpenAlex.

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  5. Spatial and Temporal Characteristics and Drivers of Agricultural Carbon Emissions in Jiangsu Province, China.International journal of environmental research and public health · 2022
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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

6 authors at 2 institutions in 1 country.

Wenxuan XuSchool of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China.
Yongzhong TianSchool of Geographical Sciences, Southwest University, Chongqing 400715, China.
Yongxue LiuSchool of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China. yongxue@nju.edu.cn.ORCID 0000-0002-6837-5015
Bingxue ZhaoSchool of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China.
Yongchao LiuSchool of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China.
Xueqian ZhangSchool of Geographical Sciences, Southwest University, Chongqing 400715, China.
Ministry of Natural Resources · CNSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

North China has become one of the worst air quality regions in China and the world. Based on the daily air quality index (AQI) monitoring data in 96 cities from 2014-2016, the spatiotemporal patterns of AQI in North China were investigated, then the influence of meteorological and socio-economic factors on AQI was discussed by statistical analysis and ESDA-GWR (exploratory spatial data analysis-geographically weighted regression) model. The principal results are as follows: (1) The average annual AQI from 2014-2016 exceeded or were close to the Grade II standard of Chinese Ambient Air Quality (CAAQ), although the area experiencing heavy pollution decreased. Meanwhile, the positive spatial autocorrelation of AQI was enhanced in the sample period. (2) The occurrence of a distinct seasonal cycle in air pollution which exhibit a sinusoidal pattern of fluctuations and can be described as "heavy winter and light summer." Although the AQI generally decreased in other seasons, the air pollution intensity increased in winter with the rapid expansion of higher AQI value in the southern of Hebei and Shanxi. (3) The correlation analysis of daily meteorological factors and AQI shows that air quality can be significantly improved when daily precipitation exceeds 10 mm. In addition, except for O

Indexed as

Socioeconomic FactorsWeatherAir PollutantsAir PollutionChinaCitiesEnvironmental MonitoringSeasonsSpatial AnalysisAir PollutantsAQIGWRinfluencing factorsNorth Chinaspatiotemporal analysis

Identifiers

PMID31394837
PMCPMC6720772
OpenAlexW2964993222

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.