Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion
Air pollution has altered the Earth's radiation balance, disturbed the ecosystem, and
increased human morbidity and mortality. Accordingly, a full-coverage high-resolution air …
increased human morbidity and mortality. Accordingly, a full-coverage high-resolution air …
[HTML][HTML] Spatiotemporal continuous estimates of daily 1 km PM from 2000 to present under the Tracking Air Pollution in China (TAP) framework
High spatial resolution PM 2.5 data covering a long time period are urgently needed to
support population exposure assessment and refined air quality management. In this study …
support population exposure assessment and refined air quality management. In this study …
A CatBoost approach with wavelet decomposition to improve satellite-derived high-resolution PM2. 5 estimates in Beijing-Tianjin-Hebei
High-resolution data of fine particulate matters (PM 2.5) are of great interest for air pollution
prevention and control. However, due to the uneven spatial distribution of ground stations …
prevention and control. However, due to the uneven spatial distribution of ground stations …
Tracking Daily Concentrations of PM2.5 Chemical Composition in China since 2000
PM2. 5 chemical components play significant roles in the climate, air quality, and public
health, and the roles vary due to their different physicochemical properties. Obtaining …
health, and the roles vary due to their different physicochemical properties. Obtaining …
[HTML][HTML] Spatiotemporal continuous estimates of PM2. 5 concentrations in China, 2000–2016: A machine learning method with inputs from satellites, chemical …
Ambient exposure to fine particulate matter (PM 2.5) is known to harm public health in
China. Satellite remote sensing measurements of aerosol optical depth (AOD) were …
China. Satellite remote sensing measurements of aerosol optical depth (AOD) were …
Retrieving hourly seamless PM2. 5 concentration across China with physically informed spatiotemporal connection
Seamless hourly surface fine particulate matters (PM 2.5) datasets are urgently needed for
environmental and epidemiologic studies. Most existing models rely on satellite AOD with …
environmental and epidemiologic studies. Most existing models rely on satellite AOD with …
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 …
Evaluation of gap-filling approaches in satellite-based daily PM2. 5 prediction models
Approximately half of satellite aerosol retrievals are missing that limits the application of
satellite data in PM 2.5 pollution monitoring. To obtain spatiotemporally continuous PM 2.5 …
satellite data in PM 2.5 pollution monitoring. To obtain spatiotemporally continuous PM 2.5 …
Estimating PM2. 5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016
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 …
important in China to understand historical levels of PM 2.5, to support health effects …
An Ensemble Machine-Learning Model To Predict Historical PM2.5 Concentrations in China from Satellite Data
The long satellite aerosol data record enables assessments of historical PM2. 5 level in
regions where routine PM2. 5 monitoring began only recently. However, most previous …
regions where routine PM2. 5 monitoring began only recently. However, most previous …