Day-Night Differences, Seasonal Variations and Source Apportionment of PM10-Bound PAHs over Xi’an, Northwest China

Wang, Xin; Shen, Zhenxing; Zeng, Yaling; Liu, Fobang; Zhang, Qian; Lei, Yali; Xu, Hongmei; Cao, Junji; Yang, Liu

doi:10.3390/atmos9020062

Cited by 18 publications

(2 citation statements)

References 51 publications

(75 reference statements)

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“…These results go beyond previous reports, showing that pollutant concentration of night-time is considerably greater than in daytime [25][26][27]. From the scientific point of view, it can be explained by the following statements.…”

Section: Dynamics Of Pm25 and Pm10supporting

confidence: 46%

Spatial assessment of air pollution due to mining and industrial activities: a case study of Kryvyi Rih, Ukraine

Batur

Babii

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Air pollution has remained a primary concern over the last decades. Respirable particulate matters (PM) PM2.5 and PM10 are the main atmospheric pollutants that have an adverse effect on human health. This study aimed to examine the air quality of Kryvyi Rih region through the spatial assessment by means of Ordinary Kriging. The study region has a major iron ore basin with several open cast mining operations and industrial activities, which are mainly contribute to the environmental issues. For the study, 10 monitoring stations were chosen located around the main residential and industrial areas of the city. The results showed that industrial plants were the largest sources of PM emissions. The average Air Quality Index (AQI) of PM2.5 and PM10 for the observed period obtained from the station located in close vicinity to the industrial plants were 170 and 89 respectively. Additionally, the 48 hours of PM dynamics were graphically analysed. It was found that PM reaches a peak primary between 12 AM and 12 PM before falling a little between 12 PM and 12 AM.

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Section: Dynamics Of Pm25 and Pm10supporting

confidence: 46%

Spatial assessment of air pollution due to mining and industrial activities: a case study of Kryvyi Rih, Ukraine

Batur

Babii

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Factor 1 explained 54.20% and 50.29% of the total PAHs in PM 2.5 and PM 2.5-10 , respectively, and was mainly loaded by HMW: Cor (87.10%, 85.94%), BghiP (71.88%, 78.54%), IcdP (71.72%, 79.75%), BeP (67.10%, 77.26%), BkF (66.60%, 78.82%), BbF (65.95%, 78.20%), and DahA (63.98%, 71.41%). Therefore, this factor was identified as coal combustion according to previous studies which showed similar PAH loadings [42,48,49].…”

Section: Sources Of Pahs With Positive Matrix Factorization (Pmf)mentioning

confidence: 99%

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

et al. 2018

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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.

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Semi-diurnal distribution of polycyclic aromatic hydrocarbons bound to PM2.5 and PM0.1 during pollution episode in the urban area of Hanoi

Nguyen,

Ly,

et al. 2024

Environ Monit Assess

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Day-Night Differences, Seasonal Variations and Source Apportionment of PM10-Bound PAHs over Xi’an, Northwest China

Cited by 18 publications

References 51 publications

Spatial assessment of air pollution due to mining and industrial activities: a case study of Kryvyi Rih, Ukraine

Spatial assessment of air pollution due to mining and industrial activities: a case study of Kryvyi Rih, Ukraine

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

Semi-diurnal distribution of polycyclic aromatic hydrocarbons bound to PM2.5 and PM0.1 during pollution episode in the urban area of Hanoi

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