2014
DOI: 10.1371/journal.pone.0113831
|View full text |Cite
|
Sign up to set email alerts
|

Chemical Characteristics of Water-Soluble Ions in Particulate Matter in Three Metropolitan Areas in the North China Plain

Abstract: PM2.5 and PM10 samples were collected simultaneously in each season in Beijing, Tianjin and Shijiazhuang to identify the characteristics of water-soluble ion compositions in the North China Plain. The water-soluble ions displayed significant seasonal variation. The dominant ions were NO3 −, SO4 2−, NH4 + and Cl−, accounting for more than 90% and 86% to the mass of total water-soluble ions in PM2.5 and PM10, respectively. The anion/cation ratio indicated that the ion acidity of each city varied both between sit… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

2
20
0
1

Year Published

2016
2016
2022
2022

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 38 publications
(23 citation statements)
references
References 51 publications
2
20
0
1
Order By: Relevance
“…Similar distribution patterns observed for Cu and Zn seem to confirm a similar origin and distribution. Enrichment distribution pattern for Cl is possibly related to the presence of the water-soluble ion Cl from marine aerosol (Dao et al, 2014). In accordance with this assumption, EF values were lower around the coal mining area and higher in Mayapo and Media Luna both located near the coastal area.…”
Section: Demographic Characteristics Groupsupporting
confidence: 66%
“…Similar distribution patterns observed for Cu and Zn seem to confirm a similar origin and distribution. Enrichment distribution pattern for Cl is possibly related to the presence of the water-soluble ion Cl from marine aerosol (Dao et al, 2014). In accordance with this assumption, EF values were lower around the coal mining area and higher in Mayapo and Media Luna both located near the coastal area.…”
Section: Demographic Characteristics Groupsupporting
confidence: 66%
“…In other words, it means that two PM 2.5 emission profiles have similarity along the time course. Indeed, similarity was observed in CO and O 3 emission profiles 30 , and in water-soluble ion concentrations in PM 2.5 between Shijiazhuang, Beijing and Tianjin 15 . Essentially, similarity is attributed to various reasons, for example, about 10% of PM 2.5 in Beijing is constituted from mineral dust 18 , which is frequently transported from Gobi desert to Beijing and North China Plain 48 49 50 .…”
mentioning
confidence: 75%
“…Mechanism of PM 2.5 formation is elucidated as that aerosol nucleation is the initial step for particle size and mass evolution to grow to PM 2.5 12 13 . Although the size of nucleation-mode particles may be smaller than 30 nm 1 , PM 2.5 eventually contains various components, such as elemental carbon (EC), potassium (K), sulfur (S), iron (Fe), silicon (Si), aluminum (Al), zinc (Zn), calcium (Ca), titanium (Ti) 14 , water-soluble ions (Cl − , SO 4 2− , NO 3 − , NH 4 + ) 15 , and organic carbon. Thus, contribution from organic compounds to PM 2.5 cannot be ignored, for example, 80% polycyclic aromatic hydrocarbons generated by combustion join PM 2.5 16 and xylenes, propane, n-pentane, 2,3-dimethylbutane, 2-methylpentane, propene, benzene and toluene are found in PM 2.5 17 .…”
mentioning
confidence: 99%
“…We found that the ratio in HS aerosols was 0.26-1.01 with an average of 0.65 ( Table 3), implying that ion pollution largely comes from stationary sources. The ratio in HS aerosols was lower than those from Beijing (1.34), Tianjin (1.03) and Shijiazhuang (1.05) [8], Shanghai (1.15) [9], China, and Southern Spain (0.86) [17], but higher than those from Yichang, China (0.40) [7], Taipei, Taiwan (0.21) [15], Ishikawa, Japan (0.39) [16], and Mohal, India (0.48) [18]. Table 4 shows the Pearson correlation coefficients among these WSIIs in the PM 10 samples.…”
Section: Charge Balance Analysis Of Wsiismentioning
confidence: 67%
“…Therefore, observations on WSIIs can not only reflect the quality of the atmospheric environment, but also provide a scientific basis for understanding the source, formation mechanism, and transmission processing of aerosols [6,7]. Aerosol WSIIs have been studied extensively in China, especially in large cities, such as Beijing and Tianjin [8], Shanghai [9], Guangzhou [10], Xi'an [11], and Xining [2]. The results illustrate that WSIIs can account for one-third, or more, of aerosol mass in urban regions and act as an important factor in the increase of particulate mass concentrations [4].…”
Section: Introductionmentioning
confidence: 99%