The impact of the control measures during the COVID-19 outbreak on air pollution in China
The outbreak of the COVID-19 virus in Wuhan, China, in January 2020 just before the Spring
Festival and subsequent country-wide measures to contain the virus, effectively resulted in …
Festival and subsequent country-wide measures to contain the virus, effectively resulted in …
Estimating PM2. 5 concentrations via random forest method using satellite, auxiliary, and ground-level station dataset at multiple temporal scales across China in 2017
B Guo, D Zhang, L Pei, Y Su, X Wang, Y Bian… - Science of The Total …, 2021 - Elsevier
Fine particulate matter with aerodynamic diameters less than 2.5 μm (PM 2.5) poses
adverse impacts on public health and the environment. It is still a great challenge to estimate …
adverse impacts on public health and the environment. It is still a great challenge to estimate …
[HTML][HTML] Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia
Abstract Aerosol Optical Depth (AOD) and Fine Mode Fraction (FMF) are important
information for air quality research. Both are mainly obtained from satellite data based on a …
information for air quality research. Both are mainly obtained from satellite data based on a …
Accuracy assessment of CAMS and MERRA-2 reanalysis PM2. 5 and PM10 concentrations over China
Rapid industrialization and urbanization significantly contribute to air pollution in China.
Essential constituents of air pollution are fine and coarse particulate matter which are the …
Essential constituents of air pollution are fine and coarse particulate matter which are the …
Satellite Remote Sensing for Estimating PM2.5 and Its Components
Purpose of Review PM 2.5 satellite remote sensing is the most powerful way to acquire the
PM 2.5 distribution and variation at a large scale with high resolution. Thus, PM 2.5 remote …
PM 2.5 distribution and variation at a large scale with high resolution. Thus, PM 2.5 remote …
Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships
Geographically weighted regression (GWR) and geographically and temporally weighted
regression (GTWR) are classic methods for estimating non-stationary relationships …
regression (GTWR) are classic methods for estimating non-stationary relationships …
Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade
G de Leeuw, H Kang, C Fan, Z Li, C Fang… - Atmospheric …, 2023 - Elsevier
To reduce air pollution over China, a series of measures to decrease concentrations of
aerosols and trace gases has been implemented during the last two decades. The effects of …
aerosols and trace gases has been implemented during the last two decades. The effects of …
Prediction of air pollutant concentrations based on the long short-term memory neural network
In recent years, environmental problems caused by air pollutants have received increasing
attention. Effective prediction of air pollutant concentrations is an important way to protect the …
attention. Effective prediction of air pollutant concentrations is an important way to protect the …
Assessing community-level livability using combined remote sensing and internet-based big geospatial data
With rapid urbanization, retrieving livability information of human settlements in time is
essential for urban planning and governance. However, livability assessments are often …
essential for urban planning and governance. However, livability assessments are often …
Estimating ground-level PM2. 5 concentrations using two-stage model in Beijing-Tianjin-Hebei, China
W Guo, B Zhang, Q Wei, Y Guo, X Yin, F Li… - Atmospheric Pollution …, 2021 - Elsevier
In this study, a two-stage model (linear mixed-effect [LME] model+ geographically weighted
regression model) that could account for the spatiotemporal variability of the relationship of …
regression model) that could account for the spatiotemporal variability of the relationship of …