Assessing emission-driven changes in health risk of source-specific PM2.5-bound heavy metals by adjusting meteorological covariates DOI
Luo Zhong-wei,

Feng Chengliang,

Jingyi Yang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 927, С. 172038 - 172038

Опубликована: Март 27, 2024

Язык: Английский

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

Xuexin Hao,

Zichen Wang

и другие.

Journal of Hazardous Materials, Год журнала: 2024, Номер 476, С. 135122 - 135122

Опубликована: Июль 6, 2024

Язык: Английский

Процитировано

3

Characteristics and sources of PM2.5 in diverse central China cities under various scenarios: maximum simulated emission reduction based on long-term data DOI

Jingshen Zhang,

Yunfei Wei, Jiasen Guo

и другие.

Journal of Hazardous Materials, Год журнала: 2025, Номер unknown, С. 138022 - 138022

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Variations in Rural PM2.5 Sources and Composition in the Post Coal-to-Gas Period Based on a Three-Year Observation DOI Creative Commons
Zhi Ning, Zhiyong Li,

Jihong Wei

и другие.

Aerosol and Air Quality Research, Год журнала: 2025, Номер 25(1-4)

Опубликована: Апрель 1, 2025

Abstract Introduction Various studies were conducted focused on the coal-to-gas (CTG) impacts urban PM 2.5 during its implementation. However, continuity of CTG effectiveness control in post remained unclear, especially rural area, retarding further emission-control policy optimization. To address this gap, we examined wintertime variations within Beijing–Tianjin–Hebei non-epidemic-lockdown period winter 2020–2022. Of which, 2020 holds most stringent enforcement, 2021 marks conclusion CTG, and 2022 represents CTG. Methods In study, levels areas region monitored winters 2020, 2021, 2022. Meanwhile, multiple chemical analysis methods employed to determine components. The Positive Matrix Factorization (PMF) modeling Potential source contribution function (PSCF) analyze contributions different sources . Results Discussion exhibited an average decrease 30.4%, PMF indicated coal combustion (CC) fell from 22.4% 17.8% 10.8% by 2022, highlighting enduring effectiveness. continuously decreasing CC-specific As, Pb, SO 4 2– was another evidence for scattered prohibition. Reluctantly, biomass burning (BB) held higher increase 17.2% 2021–2022 than 8.86% 2020–2021, it has leapt be largest contributor (25.4%) natural gas shortage subsidy reduction as well man, forced demolition coal-stoves should main inducements. Contrary recent upward trend secondary aerosols, , NO 3 – NH + showed a downward trend, with annual dropped 52.6%, 23.4%, 53.8%, respectively. This ascribed enhanced primary emissions BB vehicle exhaust (VE). Increments VE fraction might related gradually unblocking COVID-19. Correspondingly, fractions BB-dependent K /Cl VE-specific Cu/Zn/NO obviously rose Conclusions work highlighted that priorities given emission BB, guarantee supply certain financial subsidies basis retaining original pollution policies, air quality improvement period. Graphical abstract

Язык: Английский

Процитировано

0

AI-Assisted Bayesian Structural Time Series Modeling for Assessing PM2.5 Air Quality Improvements During the Beijing 2022 Winter Olympics DOI

Weizhao Liang,

Yuan Li, Xuan Liu

и другие.

Atmospheric Environment, Год журнала: 2025, Номер unknown, С. 121328 - 121328

Опубликована: Июнь 1, 2025

Язык: Английский

Процитировано

0

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

и другие.

Journal of Geophysical Research Atmospheres, Год журнала: 2024, Номер 129(11)

Опубликована: Июнь 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.

Язык: Английский

Процитировано

2

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

Xu Guan,

Jiao Li

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 948, С. 174452 - 174452

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

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

и другие.

Environmental Research, Год журнала: 2023, Номер 243, С. 117860 - 117860

Опубликована: Дек. 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.

Язык: Английский

Процитировано

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

и другие.

Atmospheric Pollution Research, Год журнала: 2023, Номер 15(3), С. 102025 - 102025

Опубликована: Дек. 20, 2023

Язык: Английский

Процитировано

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,

Yu-Cong Fu

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 892, С. 164567 - 164567

Опубликована: Июнь 1, 2023

Язык: Английский

Процитировано

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

и другие.

Environmental Pollution, Год журнала: 2023, Номер 341, С. 123007 - 123007

Опубликована: Ноя. 23, 2023

PM

Язык: Английский

Процитировано

4