[HTML][HTML] Fine particulate matter (PM) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology

S Zhai, DJ Jacob, X Wang, L Shen, K Li… - Atmospheric …, 2019 - acp.copernicus.org
Abstract Fine particulate matter (PM 2.5) is a severe air pollution problem in China.
Observations of PM 2.5 have been available since 2013 from a large network operated by …

Drivers of improved PM2.5 air quality in China from 2013 to 2017

Q Zhang, Y Zheng, D Tong, M Shao… - Proceedings of the …, 2019 - National Acad Sciences
From 2013 to 2017, with the implementation of the toughest-ever clean air policy in China,
significant declines in fine particle (PM2. 5) concentrations occurred nationwide. Here we …

Separating emission and meteorological contribution to PM2.5 trends over East China during 2000–2018

Q Xiao, Y Zheng, G Geng, C Chen… - Atmospheric …, 2021 - acp.copernicus.org
The contribution of meteorology and emissions to long-term PM 2.5 trends is critical for air
quality management but has not yet been fully analyzed. Here, we used a combination of …

[HTML][HTML] Impact of air pollution control measures and regional transport on carbonaceous aerosols in fine particulate matter in urban Beijing, China: insights gained …

D Ji, W Gao, W Maenhaut, J He, Z Wang… - Atmospheric …, 2019 - acp.copernicus.org
As major chemical components of airborne fine particulate matter (PM 2.5), organic carbon
(OC) and elemental carbon (EC) have vital impacts on air quality, climate change, and …

Characteristics of PM2. 5 pollution in Beijing after the improvement of air quality

X Huang, G Tang, J Zhang, B Liu, C Liu, J Zhang… - Journal of environmental …, 2021 - Elsevier
Following the implementation of the strictest clean air policies to date in Beijing, the
physicochemical characteristics and sources of PM 2.5 have changed over the past few …

Air quality characteristics in Wuhan (China) during the 2020 COVID-19 pandemic

C Jiaxin, H Hui, W Feifei, Z Mi, Z Ting, Y Shicheng… - Environmental …, 2021 - Elsevier
Understanding the relationship between air quality, pollution emission control measures,
and meteorological conditions is important for developing effective air quality improvement …

Analysis and accurate prediction of ambient PM2. 5 in China using Multi-layer Perceptron

R Feng, H Gao, K Luo, J Fan - Atmospheric environment, 2020 - Elsevier
Whether PM 2.5 can be long-range transported and what role secondary inorganic aerosols
play in the episodes of haze have aroused numerous debates. In this work, Multi-layer …

Quantifying the scale-dependent relationships of PM2. 5 and O3 on meteorological factors and their influencing factors in the Beijing-Tianjin-Hebei region and …

S Wu, X Yan, J Yao, W Zhao - Environmental Pollution, 2023 - Elsevier
To investigate the variations of PM 2.5 and O 3 and their synergistic effects with influencing
factors at different time scales, we employed Bayesian estimator of abrupt seasonal and …

The differential impact of 2015–2020 El Niño and El Niño Modoki on warm-and cold-season PM2. 5 concentration and distribution across China

X Wang, J Qin, S Zhong, Y Yang, Q Lu, L Yu - Atmospheric Environment, 2023 - Elsevier
Using hourly observations of fine particulate matter (PM2. 5) from a nationwide air-quality
monitoring network of nearly 1500 stations, augmented with gridded atmospheric reanalysis …

Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021

G de Leeuw, C Fan, Z Li, J Dong, Y Li, Y Ou… - Atmospheric Pollution …, 2022 - Elsevier
The spatiotemporal variation of the aerosol optical depth (AOD) over China was studied
using MODIS data retrieved with the MAIAC algorithm. Time series were extended to July …