2019
DOI: 10.1038/s41598-019-50655-6
|View full text |Cite
|
Sign up to set email alerts
|

Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017

Abstract: Air pollution has aroused significant public concern in China, therefore, long-term air-quality data with high temporal and spatial resolution are needed to understand the variations of air pollution in China. However, the yearly variations with high spatial resolution of air quality and six air pollutants are still unknown for China until now. Therefore, in this paper, we analyze the spatial and temporal variations of air quality and six air pollutants in 366 cities across mainland China during 2015–2017 for … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
41
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 67 publications
(43 citation statements)
references
References 30 publications
(38 reference statements)
2
41
0
Order By: Relevance
“…208.233:20035/). Other studies have used similar data (for example, Silver et al 2018 [17], Guo et al 2019 [18], Fan et al 2020 [19], Rohde and Muller 2015 [20], Liang et al 2016 [21], Leung et al 2018 [22]).…”
Section: Methodsmentioning
confidence: 98%
See 4 more Smart Citations
“…208.233:20035/). Other studies have used similar data (for example, Silver et al 2018 [17], Guo et al 2019 [18], Fan et al 2020 [19], Rohde and Muller 2015 [20], Liang et al 2016 [21], Leung et al 2018 [22]).…”
Section: Methodsmentioning
confidence: 98%
“…Jiang et al estimated that the "Action Plan" would decrease the PM 2.5 by 26%, SO 2 by 34%, and NO 2 by 28% in the Pearl River Delta [4]. [18].…”
Section: Plos Onementioning
confidence: 99%
See 3 more Smart Citations