Spatial and temporal variations of ambient PM10-bound polycyclic aromatic hydrocarbons in Chiang Mai and Lamphun Provinces, Thailand

2010 ◽  
Vol 19 (1-3) ◽  
pp. 17-25 ◽  
Author(s):  
Somporn Chantara ◽  
Sunanta Wangkarn ◽  
Walaya Sangchan ◽  
Mongkon Rayanakorn
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Chiang Mai ◽  
Polycyclic Aromatic

scholarly journals Spatial and temporal variations and mobile source emissions of polycyclic aromatic hydrocarbons in Quito, Ecuador

2009 ◽  
Vol 157 (2) ◽  
pp. 528-536 ◽  
Author(s):  
Megan V. Brachtl ◽  
John L. Durant ◽  
Carlos Paez Perez ◽  
Jorge Oviedo ◽  
Fernando Sempertegui ◽  
...  
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Mobile Source ◽  
Mobile Source Emissions ◽  
Polycyclic Aromatic

scholarly journals Polycyclic Aromatic Hydrocarbons in PM2.5 and PM2.5–10 in Urumqi, China: Temporal Variations, Health Risk, and Sources

Atmosphere ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 412 ◽  
Author(s):  
Suwubinuer Rekefu ◽  
Dilinuer Talifu ◽  
Bo Gao ◽  
Yusan Turap ◽  
Mailikezhati Maihemuti ◽  
...  
Keyword(s):  
Molecular Weight ◽  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Coal Combustion ◽  
Temporal Variations ◽  
Diagnostic Ratios ◽  
Positive Matrix ◽  
Increasing Trend ◽  
Polycyclic Aromatic ◽  
The Mean

PM2.5 and PM2.5–10 samples were simultaneously collected in Urumqi from January to December 2011, and 14 priority polycyclic aromatic hydrocarbons (PAHs) were determined. The mean concentrations of total PAHs in PM2.5 and PM2.5–10 were 20.90~844.22 ng m−3 and 19.65~176.5 ng m−3 respectively, with the highest in winter and the lowest in summer. Above 80% of PAHs were enriched in PM2.5, which showed remarkable seasonal variations compared to coarse particles. High molecular weight (HMW) PAHs were predominant in PM2.5 (46.61~85.13%), whereas the proportions of lower molecular weight (LMW) and HMW PAHs in PM2.5–10 showed a decreasing and an increasing trend, respectively, from spring to winter. The estimated concentrations of benzo[a]pyrene equivalent carcinogenic potency (BaPeq) in PM2.5 (10.49~84.52 ng m−3) were higher than that of in PM2.5–10 (1.15~13.33 ng m−3) except in summer. The estimated value of inhalation cancer risk in PM2.5 and PM2.5–10 were 1.63 × 10−4~7.35 × 10−3 and 9.94 × 10−5~1.16 × 10−3, respectively, far exceeding the health-based guideline level of 10−4. Diagnostic ratios and positive matrix factorization results demonstrated that PAHs in PM2.5 and PM2.5–10 were from similar sources, such as coal combustion, biomass burning, coking, and petroleum combustion, respectively. Coal combustion was the most important source for PAHs both in PM2.5 and PM2.5–10, accounting for 54.20% and 50.29%, respectively.

scholarly journals Spatial and Seasonal Variation of Polycyclic Aromatic Hydrocarbons (Pahs) Deposition Flux and Sources in Shanghai

2021 ◽  
Author(s):  
Jian Wu ◽  
Chenyan Sha ◽  
Dayan Li ◽  
Cheng Shen ◽  
Hao Tang ◽  
...  
Keyword(s):  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Central City ◽  
Industrial Area ◽  
Temporal Variations ◽  
Deposition Flux ◽  
Iron And Steel ◽  
Spatial And Seasonal Variation ◽  
Polycyclic Aromatic ◽  
Functional Areas

Abstract Spatial and temporal variations of PAHs deposition flux and sources may significantly facilitate risk evaluations of super magacity in China. A study on polycyclic aromatic hydrocarbons of wet deposition and dry deposition in Shanghai was conducted from January to December, 2019. 17 sites were investigated located in four representative functional areas, covering iron and steel industry (BS), petrochemical industry (JS), central city (CC) and agricultural area (CM). The results showed that atmospheric PAHs level in shanghai was the lowest in autumn and the highest in winter. As industrial area, BS and JS demonstrated higher PAHs deposition fluxes than those in CC and CM sites. Triangle map indicated that the PAHs distribution in winter and spring samples were more homogeneous, suggesting possible common origins, whereas that of summer and autumn seemed to be more dispersed. Isomar ratio and positive matrix factorization model were employed to identify the potential sources of PAHs in specific functional areas. BS was dominated by a high percentage (46%) of coal combustion. In JS site, the petroleum volatilization source percentage was 47.6%. The highest biomass burning (55.3%) contributions were in CM. Vehicle emission (49.3%) was identified as the predominant source of PAHs in CC. This study highlighted that local emission sources have a greater influence on PAHs deposition to specific functional regions in Shanghai.

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