Global synthesis of two decades of research on improving PM2. 5 estimation models from remote sensing and data science perspectives

K Bai, K Li, Y Sun, L Wu, Y Zhang, NB Chang, Z Li - Earth-Science Reviews, 2023 - Elsevier
Identifying the proxy data and techniques that could yield greater PM 2.5 estimation
accuracy remains challenging due to the lack of general knowledge on the relative …

Deep learning for air quality forecasts: a review

Q Liao, M Zhu, L Wu, X Pan, X Tang, Z Wang - Current Pollution Reports, 2020 - Springer
Air pollution is one of major environmental issues in the twenty-first century due to global
industrialization and urbanization. Its mitigation necessitates accurate air quality forecasts …

Effects of air pollution control policies on PM2.5 pollution improvement in China from 2005 to 2017: a satellite-based perspective

Z Ma, R Liu, Y Liu, J Bi - Atmospheric Chemistry and Physics, 2019 - acp.copernicus.org
Understanding the effectiveness of air pollution control policies is important for future policy
making. China has implemented strict air pollution control policies since the 11th Five-Year …

Estimating PM2. 5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016

X Meng, C Liu, L Zhang, W Wang, J Stowell… - Remote Sensing of …, 2021 - Elsevier
Predicting long-term spatiotemporal characteristics of fine particulate matter (PM 2.5) is
important in China to understand historical levels of PM 2.5, to support health effects …

[HTML][HTML] The relationship between air pollution and lung cancer in nonsmokers in Taiwan

CH Tseng, BJ Tsuang, CJ Chiang, KC Ku… - Journal of Thoracic …, 2019 - Elsevier
Introduction For never-smokers (smoked< 100 lifetime cigarettes), lung cancer (LC) has
emerged as an important issue. We aimed to investigate the effects of prevalence changes …