2018
DOI: 10.5194/acp-2018-1145-supplement
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Supplementary material to "Dominant role of emission reduction in PM<sub>2.5</sub> air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis"

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

3
21
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 15 publications
(24 citation statements)
references
References 0 publications
3
21
0
Order By: Relevance
“…The highest concentration of PM 2.5 , which occurred in December 2013, had an average mass concentration of 128.3 (±86.9) μg/m 3 . The Chinese government has introduced several air pollution control policies since September 2013, leading to a significant drop in PM 2.5 concentration (Cheng et al., 2019). To assess the role of the Action Plan in reducing the mass concentrations of PM 2.5 , three time periods were identified during 2011–2019, namely, 2011–2013 (Pre‐Action Plan), 2014–2017 (Action Plan), and 2017–2019 (Post‐Action Plan).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The highest concentration of PM 2.5 , which occurred in December 2013, had an average mass concentration of 128.3 (±86.9) μg/m 3 . The Chinese government has introduced several air pollution control policies since September 2013, leading to a significant drop in PM 2.5 concentration (Cheng et al., 2019). To assess the role of the Action Plan in reducing the mass concentrations of PM 2.5 , three time periods were identified during 2011–2019, namely, 2011–2013 (Pre‐Action Plan), 2014–2017 (Action Plan), and 2017–2019 (Post‐Action Plan).…”
Section: Resultsmentioning
confidence: 99%
“…The reduction in K + was the most pronounced, followed by Ca 2+ , Cl − , and EC. The annual decrease rates of K + , Ca 2+ , Cl−, and EC were 30.0%, 14.4%, 10.8%, and 9.5%, respectively, which was attributed to the nationwide control of fugitive dust, biomass burning, and coal combustion in the past few years (An et al., 2021; Cheng et al., 2019; Sun et al., 2013). Evident reduction of primary components in PM 2.5 may change the chemical characteristics of PM 2.5 .…”
Section: Resultsmentioning
confidence: 99%
“…Several studies (using chemical transport models or statistical models) have investigated the influences of reduced emissions and meteorology on PM concentrations in Beijing for recent years. 43,70,71 They generally suggested a major role of emission and a minor role of meteorology. Cheng N. et al 70 found, different from the other seasons, that wintertime PM 2.5 did not decrease significantly (on a 90% confidence level) during 2013−2016 due to unfavorable meteorological conditions.…”
Section: Resultsmentioning
confidence: 99%
“…Cheng N. et al 70 found, different from the other seasons, that wintertime PM 2.5 did not decrease significantly (on a 90% confidence level) during 2013−2016 due to unfavorable meteorological conditions. Cheng J. et al 71 showed that PM 2.5 mass concentrations in the 2017/2018 winter would increase by about 80% if the meteorological conditions were the same with 2016/2017 winter, although there was a negative bias in the modeled PM 2.5 compared to observations in 2016/2017. More stringent emission control measures, including the suspension of industrial activities and the replacement of coal with natural gas, were implemented in the 2017/2018 winter over Beijing and surrounding regions in order to meet the target of PM 2.5 concentration for the 2013−2017 Clean Air Action Plan and were suggested to significantly reduce PM concentrations during this winter season.…”
Section: Resultsmentioning
confidence: 99%
“…The reductions in PM 2.5 concentrations over 2015–2017 have been attributed to reductions in anthropogenic emissions, as a result of the Air Pollution Prevention and Control Action Plan of 2013–2017 (Cheng et al., 2019; Ding et al., 2019; K. Li et al., 2019, 2020; Silver, Conibear, et al., 2020; Zhai et al., 2019; B. Zhao et al., 2018). The plan required PM 2.5 concentrations to decline by 25% in Beijing–Tianjin–Hebei, 20% in the Yangtze River Delta, and 15% in the Pearl River Delta.…”
Section: Introductionmentioning
confidence: 99%