Heterogeneity in the health effects of PM2.5 sources across the major metropolitan cities, South Korea: Significance of region-specific management DOI Creative Commons
Sangcheol Kim, Seung‐Muk Yi, Ho Kim

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 263, P. 120230 - 120230

Published: Oct. 28, 2024

Language: Английский

Regulation-driven changes in PM2.5 sources in China from 2013 to 2019, a critical review and trend analysis DOI
Ting Zhang, Beizhan Yan, Lucas R.F. Henneman

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 934, P. 173091 - 173091

Published: May 8, 2024

Language: Английский

Citations

3

Different variations in PM2.5 sources and their specific health risks in different periods in a heavily polluted area of the Beijing-Tianjin-Hebei region of China DOI
Jiwei Li, Lihong Ren, Yunfei Wu

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 308, P. 107519 - 107519

Published: June 8, 2024

Language: Английский

Citations

3

p‑Phenylenediamine antioxidants in PM2.5: New markers for traffic in positive matrix factorization source apportionment DOI
Nan Jiang,

Xuexin Hao,

Zichen Wang

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 476, P. 135122 - 135122

Published: July 6, 2024

Language: Английский

Citations

3

Quantifying the pollution changes and meteorological dependence of airborne trace elements coupling source apportionment and machine learning DOI
Haolin Wang,

Xu Guan,

Jiao Li

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174452 - 174452

Published: July 2, 2024

Language: Английский

Citations

2

Analysis of PM2.5 inorganic and organic constituents to resolve contributing sources in Seoul, South Korea and Beijing, China and their possible associations with cytokine IL-8 DOI Creative Commons
Jieun Park, Kyoung‐Hee Lee, Hyewon Kim

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 243, P. 117860 - 117860

Published: Dec. 9, 2023

China and South Korea are the most polluted countries in East Asia due to significant urbanization extensive industrial activities. As neighboring countries, collaborative management plans maximize public health both can be helpful reducing transboundary air pollution. To support such planning, PM2.5 inorganic organic species were determined simultaneously collected integrated filters. The resulting data used as inputs positive matrix factorization, which identified nine sources at ambient monitoring sites sites. Secondary nitrate, secondary sulfate/oil combustion, soil, mobile, incinerator, biomass burning, carbon (SOC) found sampling Industry I II only Seoul, whereas combustion road dust Beijing. A subset of samples was selected for exposure assessment. expression levels IL-8 significantly higher Beijing (167.7 pg/mL) than Seoul (72.7 pg/mL). associations between chemical constituents its contributing with PM2.5-induced inflammatory cytokine (interleukin-8, IL-8) human bronchial epithelial cells investigated. For soil followed by nitrate burning showed increase production. However, Beijing, exhibited highest association production SOC modest IL-8. one cities, an source having strongest a This study provide scientific basis identifying prioritized control effective mitigation particulate pollution each city thereby improve health.

Language: Английский

Citations

5

PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization DOI
Anna Alfeus, Péter Molnár, Johan Boman

et al.

Atmospheric Pollution Research, Journal Year: 2023, Volume and Issue: 15(3), P. 102025 - 102025

Published: Dec. 20, 2023

Language: Английский

Citations

5

Identification and contribution of potential sources to atmospheric lead pollution in a typical megacity: Insights from isotope analysis and the Bayesian mixing model DOI

Wenjing Dai,

Xiaodong Li,

Yucong Fu

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 892, P. 164567 - 164567

Published: June 1, 2023

Language: Английский

Citations

4

Effect of industrialization on the differences in sources and composition of ambient PM2.5 in two Southern Ontario locations DOI Creative Commons

Mahmoud M. Yassine,

Ewa Dąbek-Złotorzyńska, Valbona Celo

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 341, P. 123007 - 123007

Published: Nov. 23, 2023

PM

Language: Английский

Citations

4

Development and application of a multi-task oriented deep learning model for quantifying drivers of air pollutant variations: A case study in Taiyuan, China DOI
Rumei Li, Jinghao Zhao,

Kun Feng

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 920, P. 170777 - 170777

Published: Feb. 6, 2024

Language: Английский

Citations

1

Inhalable Fungi and Opportunistic Pathogens During Haze and Haze‐Dust Events From Winter to Springtime in One Typical Inland City of Northern China DOI
Zhao‐Wen Wang,

Houfeng Liu,

Pengju Xu

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(11)

Published: June 1, 2024

Abstract Fungal aerosols, as significant biocomponents of inhalable particulate matter, encompass a variety allergens and pathogens. However, comprehensive knowledge regarding their composition, sources, opportunistic pathogens present in severe air pollution remains limited. In this study, PM 2.5 samples were collected from January to March 2018 northern Chinese city, during the winter heating spring sandstorm seasons. The fungal community characteristics within three distinct haze haze‐dust composite examined. concentration aerosols was found be significantly higher dust samples. This evidenced by strong positive correlation with Ca 2+ , temperature, wind speed ( p < 0.05). Human animal pathogens, such Candida more prevalent Conversely, plant like Alternaria primary ecological function shifted being saprophytic becoming human‐animal pathogenic or plant‐animal pathogenic. shift observed non‐pollution, haze, pollution. dispersion influenced factors events meteorological conditions, including increased temperature speed. episodes, dust‐related pollutants, soil 10 accounted for 51.39% variation community. research explored dynamics communities, potential influencing communities regional insights garnered provide robust foundation subsequent human health exposure assessments.

Language: Английский

Citations

1