2017
DOI: 10.4209/aaqr.2016.08.0338
|View full text |Cite
|
Sign up to set email alerts
|

Chemical Characteristics of PM2.5 during 2015 Spring Festival in Beijing, China

Abstract: Air pollution especially of PM 2.5 pollution is a serious problem in Beijing. In order to quantify the effect of a festival in which pollution was expected to be reduced, we collected and analyzed PM 2.5 samples in urban Beijing during the 2015 Spring Festival (from February 9 th to March 6 th 2015). We divided the sampling period into three phases: non-haze, haze and firework days. The average concentration of PM 2.5 was highest on firework days at 248.9 µg m -3 , followed by haze days (199.9 µg m -3 ) and no… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
20
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 37 publications
(21 citation statements)
references
References 59 publications
1
20
0
Order By: Relevance
“…However, after the country adopted strict restrictive measures to control COVID-19, which led to the suspension of many plants and enterprises, emissions of SO 2 , NO 2 and CO throughout the country were significantly reduced, leading to improved air quality. Another reason for the reduction in emissions may be due to the Lunar New Year holiday (from February 5 to 20 in 2019 and from January 24 to February 8 in 2020), which was consistent with the results of previous studies (Lai and Brimblecombe, 2017;Zhang et al, 2017;Safarian et al, 2020). The reduced use of coal and crude oil led to a reduction in CO emissions of about 20% compared to the same two-week period after the Lunar New Year in 2019.…”
Section: Temporal Variations Of Pollutantssupporting
confidence: 87%
“…However, after the country adopted strict restrictive measures to control COVID-19, which led to the suspension of many plants and enterprises, emissions of SO 2 , NO 2 and CO throughout the country were significantly reduced, leading to improved air quality. Another reason for the reduction in emissions may be due to the Lunar New Year holiday (from February 5 to 20 in 2019 and from January 24 to February 8 in 2020), which was consistent with the results of previous studies (Lai and Brimblecombe, 2017;Zhang et al, 2017;Safarian et al, 2020). The reduced use of coal and crude oil led to a reduction in CO emissions of about 20% compared to the same two-week period after the Lunar New Year in 2019.…”
Section: Temporal Variations Of Pollutantssupporting
confidence: 87%
“…The main ionic contents in coarse particles were Na + , Ca 2+ , Cl − and NO 3 − . Especially, Ca 2+ , usually originated from crustal particles and construction industry [12], was mainly located in the coarse particles and high to 0.37 μg/m 3 in roadside and 0.41 μg/m 3 in 10F sampling site resulting about two times higher value than those in other periods. Na + was also mainly enriched in the coarse particles, which was also considered as the main component of sea salt.…”
Section: Resultsmentioning
confidence: 82%
“…Ion balance is commonly used to study the acid-base balance of aerosol particles. The ions' mass concentrations into micro-equivalents were calculated to evaluate the cation/anion balance of PM 1.1 and the coarse particles [12]. Ion balance was calculated as in follows eqns.…”
Section: Two Sampling Sites and The Meteorological Factors In Saitamamentioning
confidence: 99%
“…Fireworks emissions can lead to significant deteriorations in visibility. A large number of studies have evaluated the long-term impacts of aerosols and gases on visibility but only a few were focused on the influence of fireworks (Huang et al, 2012;Kong et al, 2015a;Saha et al, 2014;Shen et al, 2009;Singh et al, 2015;Singh et al, 2010;Wang et al, 2007;Zhang et al, 2017). In general, visibility is defined as the maximum visible distance along a horizontal line at the Earth's surface, and is largely dependent upon the scattering and absorption of light by PM.…”
Section: Visibilitymentioning
confidence: 99%