Levels and sources of hourly PM2. 5-related elements during the control period of the COVID-19 pandemic at a rural site between Beijing and Tianjin

Y Cui, D Ji, W Maenhaut, W Gao, R Zhang… - Science of the Total …, 2020 - Elsevier
To control the spread of the novel coronavirus disease 2019 (COVID-19) in China, many
anthropogenic activities were reduced and even closed on the national scale. To study the …

Impacts of dust events on chemical characterization and associated source contributions of atmospheric particulate matter in northern China

R Li, M Zhang, Y Du, G Wang, C Shang, Y Liu… - Environmental …, 2023 - Elsevier
Sand and dust have significant impacts on air quality, climate, and human health. To
investigate the influences of dust storms on chemical characterization and source …

Source apportionment of PM2. 5 during haze episodes in Shanghai by the PMF model with PAHs

X Feng, Y Feng, Y Chen, J Cai, Q Li, J Chen - Journal of Cleaner …, 2022 - Elsevier
Positive matrix factorization (PMF) is a commonly used receptor model for PM 2.5 source
apportionment, relying on tracers to identify emission sources. Adding organic tracers such …

Hourly measurements of organic molecular markers in urban Shanghai, China: primary organic aerosol source identification and observation of cooking aerosol aging

Q Wang, X He, M Zhou, DD Huang, L Qiao… - ACS Earth and Space …, 2020 - ACS Publications
Molecular markers in ambient organic aerosol (OA) provide highly specific source
information. Their traditional quantification is based on offline analysis of filter samples, and …

Maritime and coastal observations of ambient PM2. 5 and its elemental compositions in the Bohai Bay of China during spring and summer: Levels, spatial distribution …

X Yang, Y Gao, Q Li, J He, Y Liu, K Duan, X Xu… - Atmospheric Research, 2023 - Elsevier
This study conducted a ship-based observation to measure the concentrations of PM 2.5
(particulate matter with aerodynamic diameters≤ 2.5 μm) and PM 2.5-bound trace elements …

High contribution of vehicle emissions to fine particulate pollutions in Lanzhou, Northwest China based on high-resolution online data source appointment

M Wang, P Tian, L Wang, Z Yu, T Du, Q Chen… - Science of the Total …, 2021 - Elsevier
The quantitative estimation of urban particulate matter (PM) sources is essential but limited
because of various reasons. The hourly online data of PM 2.5, organic carbon (OC) …

Characteristics and sources of hourly trace elements in airborne fine particles in urban Beijing, China

Y Cui, D Ji, H Chen, M Gao… - Journal of …, 2019 - Wiley Online Library
To better investigate the characteristics and sources of trace elements (TEs) in PM2. 5 in
urban Beijing, a 1‐year hourly observation was continuously made using an online multi …

[HTML][HTML] Source apportionment of PM in Shanghai based on hourly organic molecular markers and other source tracers

R Li, Q Wang, X He, S Zhu, K Zhang… - Atmospheric …, 2020 - acp.copernicus.org
Identification of various emission sources and quantification of their contributions comprise
an essential step in formulating scientifically sound pollution control strategies. Most …

Chemical characterization, formation mechanisms and source apportionment of PM2. 5 in north Zhejiang Province: The importance of secondary formation and …

B Kuang, F Zhang, J Shen, Y Shen, F Qu, L Jin… - Science of the Total …, 2022 - Elsevier
Abstract PM 2.5 affects air quality, therefore, chemical evolution, formation mechanism and
source identification of PM 2.5 are essential to help figure out mitigation measures. PM 2.5 …

[HTML][HTML] Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment …

M Manousakas, M Furger, KR Daellenbach… - Atmospheric …, 2022 - Elsevier
Source emissions with high covariance degrade the performance of multivariate models,
and often highly-time resolved data is needed to accurately extract the contribution of …