A review of statistical methods used for developing large-scale and long-term PM2. 5 models from satellite data
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 …
exposure that is not supported by newly established monitoring networks due to their sparse …
A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth
This study reviewed the prediction of fine particulate matter (PM2. 5) from satellite aerosol
optical depth (AOD) and summarized the advantages and limitations of these predicting …
optical depth (AOD) and summarized the advantages and limitations of these predicting …
Estimating 1-km-resolution PM2. 5 concentrations across China using the space-time random forest approach
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 …
and human life. Satellite-based aerosol optical depth (AOD) products have been widely …
PM2. 5 volatility prediction by XGBoost-MLP based on GARCH models
H Dai, G Huang, H Zeng, F Zhou - Journal of cleaner production, 2022 - Elsevier
In recent, air pollution has a sever impact on public health and economy development
throughout the world. Air pollution consists of a variety of harming components, of which fine …
throughout the world. Air pollution consists of a variety of harming components, of which fine …
Full-coverage high-resolution daily PM2. 5 estimation using MAIAC AOD in the Yangtze River Delta of China
Satellite aerosol optical depth (AOD) has been used to assess population exposure to fine
particulate matter (PM 2.5). The emerging high-resolution satellite aerosol product, Multi …
particulate matter (PM 2.5). The emerging high-resolution satellite aerosol product, Multi …
Spatiotemporal prediction of continuous daily PM2. 5 concentrations across China using a spatially explicit machine learning algorithm
A high degree of uncertainty associated with the emission inventory for China tends to
degrade the performance of chemical transport models in predicting PM 2.5 concentrations …
degrade the performance of chemical transport models in predicting PM 2.5 concentrations …
Satellite-based ground PM2. 5 estimation using a gradient boosting decision tree
T Zhang, W He, H Zheng, Y Cui, H Song, S Fu - Chemosphere, 2021 - Elsevier
Fine particulate matter with an aerodynamic diameter less than 2.5 μm (PM 2.5) is one of the
major air pollutants risks to human health worldwide. Satellite-based aerosol optical depth …
major air pollutants risks to human health worldwide. Satellite-based aerosol optical depth …
Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression
Based on annual average PM2. 5 gridded dataset, this study first analyzed the
spatiotemporal pattern of PM2. 5 across Mainland China during 1998–2012. Then facilitated …
spatiotemporal pattern of PM2. 5 across Mainland China during 1998–2012. Then facilitated …
Spatiotemporal PM2. 5 estimations in China from 2015 to 2020 using an improved gradient boosting decision tree
W He, H Meng, J Han, G Zhou, H Zheng, S Zhang - Chemosphere, 2022 - Elsevier
Abstract Fine particulate matter (PM 2.5) with spatiotemporal continuity can provide
important basis for the assessment of adverse effects on human health. In recent years …
important basis for the assessment of adverse effects on human health. In recent years …
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 …