A review of current knowledge concerning PM2. 5 chemical composition, aerosol optical properties and their relationships across China

J Tao, L Zhang, J Cao, R Zhang - Atmospheric Chemistry and …, 2017 - acp.copernicus.org
To obtain a thorough knowledge of PM 2. 5 chemical composition and its impact on aerosol
optical properties across China, existing field studies conducted after the year 2000 are …

A review of statistical methods used for developing large-scale and long-term PM2. 5 models from satellite data

Z Ma, S Dey, S Christopher, R Liu, J Bi, P Balyan… - Remote Sensing of …, 2022 - Elsevier
Research of PM 2.5 chronic health effects requires knowledge of large-scale and long-term
exposure that is not supported by newly established monitoring networks due to their sparse …

[HTML][HTML] An ensemble-based model of PM2. 5 concentration across the contiguous United States with high spatiotemporal resolution

Q Di, H Amini, L Shi, I Kloog, R Silvern, J Kelly… - Environment …, 2019 - Elsevier
Various approaches have been proposed to model PM 2.5 in the recent decade, with
satellite-derived aerosol optical depth, land-use variables, chemical transport model …

Spatial spillover effects of environmental regulations on air pollution: Evidence from urban agglomerations in China

T Feng, H Du, Z Lin, J Zuo - Journal of Environmental Management, 2020 - Elsevier
Environmental regulations affects the environmental quality of not only local areas but also
surrounding regions. It remains unknown whether the effect of environmental regulations on …

Estimating 1-km-resolution PM2. 5 concentrations across China using the space-time random forest approach

J Wei, W Huang, Z Li, W Xue, Y Peng, L Sun… - Remote Sensing of …, 2019 - Elsevier
Abstract Fine particulate matter (PM 2.5) is closely related to the atmospheric environment
and human life. Satellite-based aerosol optical depth (AOD) products have been widely …

Ambient air pollution exposure estimation for the global burden of disease 2013

M Brauer, G Freedman, J Frostad… - … science & technology, 2016 - ACS Publications
Exposure to ambient air pollution is a major risk factor for global disease. Assessment of the
impacts of air pollution on population health and evaluation of trends relative to other major …

Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach

X Hu, JH Belle, X Meng, A Wildani… - … science & technology, 2017 - ACS Publications
To estimate PM2. 5 concentrations, many parametric regression models have been
developed, while nonparametric machine learning algorithms are used less often and …

Estimating Ground‐Level PM2.5 by Fusing Satellite and Station Observations: A Geo‐Intelligent Deep Learning Approach

T Li, H Shen, Q Yuan, X Zhang… - Geophysical Research …, 2017 - Wiley Online Library
Fusing satellite observations and station measurements to estimate ground‐level PM2. 5 is
promising for monitoring PM2. 5 pollution. A geo‐intelligent approach, which incorporates …

Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004–2013

Z Ma, X Hu, AM Sayer, R Levy, Q Zhang… - Environmental …, 2016 - ehp.niehs.nih.gov
Background Three decades of rapid economic development is causing severe and
widespread PM2. 5 (particulate matter≤ 2.5 μm) pollution in China. However, research on …

Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques

J Ma, JCP Cheng, C Lin, Y Tan, J Zhang - Atmospheric Environment, 2019 - Elsevier
As air pollution becomes more and more severe, air quality prediction has become an
important approach for air pollution management and prevention. In recent years, a number …