Estimating ground-level particulate matter concentrations using satellite-based data: a review
Particulate matter (PM) is a widely used indicator of air quality. Satellite-derived aerosol
products such as aerosol optical depth (AOD) have been a useful source of data for ground …
products such as aerosol optical depth (AOD) have been a useful source of data for ground …
[HTML][HTML] Strategies for using satellite-based products in modeling PM2. 5 and short-term pollution episodes
M Sorek-Hamer, R Chatfield, Y Liu - Environment International, 2020 - Elsevier
Short-term air pollution episodes motivate improved understanding of the association
between air pollution and acute morbidity and mortality episodes, and triggers required …
between air pollution and acute morbidity and mortality episodes, and triggers required …
Reconstructing 1-km-resolution high-quality PM2. 5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
Exposure to fine particulate matter (PM 2.5) can significantly harm human health and
increase the risk of death. Satellite remote sensing allows for generating spatially …
increase the risk of death. Satellite remote sensing allows for generating spatially …
A geographically weighted regression model augmented by Geodetector analysis and principal component analysis for the spatial distribution of PM2. 5
R Zhao, L Zhan, M Yao, L Yang - Sustainable Cities and Society, 2020 - Elsevier
This study develops an augmented geographically weighted regression (GWR) model to
analyze the spatial distribution of PM 2.5 concentrations through the incorporation of …
analyze the spatial distribution of PM 2.5 concentrations through the incorporation of …
[HTML][HTML] Himawari-8-derived diurnal variations in ground-level pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)
Fine particulate matter with a diameter of less than 2.5 µ m (PM 2.5) has been used as an
important atmospheric environmental parameter mainly because of its impact on human …
important atmospheric environmental parameter mainly because of its impact on human …
Multitask air-quality prediction based on LSTM-autoencoder model
X Xu, M Yoneda - IEEE transactions on cybernetics, 2019 - ieeexplore.ieee.org
With the development of the data-driven modeling techniques, using the neural network to
simulate the transport process of atmospheric pollutants and constructing PM 2.5 time-series …
simulate the transport process of atmospheric pollutants and constructing PM 2.5 time-series …
Estimation of hourly full-coverage PM2. 5 concentrations at 1-km resolution in China using a two-stage random forest model
Fine particulate matter such as PM 2.5 has been the focus of increasing public concerns
because of its adverse effect on environment and health risks. However, existing efforts of …
because of its adverse effect on environment and health risks. However, existing efforts of …
The imprint of urbanization on PM2. 5 concentrations in China: The urban-rural gradient study
Urbanization has been acknowledged as an important driver of PM 2.5 pollution, but the
spatial heterogeneity within cities remain largely unexplored in understanding urbanization …
spatial heterogeneity within cities remain largely unexplored in understanding urbanization …
[HTML][HTML] Obtaining vertical distribution of PM2. 5 from CALIOP data and machine learning algorithms
B Chen, Z Song, F Pan, Y Huang - Science of The Total Environment, 2022 - Elsevier
Aerosol optical depth (AOD) has been widely used to estimate the near-surface PM 2.5 (fine
particulate matter with particle size less than 2.5 μm). However, the total-column AOD …
particulate matter with particle size less than 2.5 μm). However, the total-column AOD …
A new perspective to satellite-based retrieval of ground-level air pollution: Simultaneous estimation of multiple pollutants based on physics-informed multi-task …
Remote sensing of air pollution is essential for air quality management and health risk
assessment. Many machine-learning-based retrieval models have been established for …
assessment. Many machine-learning-based retrieval models have been established for …