Deep learning for air pollutant concentration prediction: A review
Air pollution has become one of the critical environmental problem in the 21st century and
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …
A review of current knowledge concerning PM2. 5 chemical composition, aerosol optical properties and their relationships across China
To obtain a thorough knowledge of PM 2. 5 chemical composition and its impact on aerosol
optical properties across China, existing field studies conducted after the year 2000 are …
optical properties across China, existing field studies conducted after the year 2000 are …
Data-driven machine learning in environmental pollution: gains and problems
The complexity and dynamics of the environment make it extremely difficult to directly predict
and trace the temporal and spatial changes in pollution. In the past decade, the …
and trace the temporal and spatial changes in pollution. In the past decade, the …
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 …
Global estimates and long-term trends of fine particulate matter concentrations (1998–2018)
MS Hammer, A van Donkelaar, C Li… - Environmental …, 2020 - ACS Publications
Exposure to outdoor fine particulate matter (PM2. 5) is a leading risk factor for mortality. We
develop global estimates of annual PM2. 5 concentrations and trends for 1998–2018 using …
develop global estimates of annual PM2. 5 concentrations and trends for 1998–2018 using …
[HTML][HTML] The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China
Respirable particles with aerodynamic diameters≤ 10 µm (PM 10) have important impacts
on the atmospheric environment and human health. Available PM 10 datasets have coarse …
on the atmospheric environment and human health. Available PM 10 datasets have coarse …
[HTML][HTML] An ensemble-based model of PM2. 5 concentration across the contiguous United States with high spatiotemporal resolution
Various approaches have been proposed to model PM 2.5 in the recent decade, with
satellite-derived aerosol optical depth, land-use variables, chemical transport model …
satellite-derived aerosol optical depth, land-use variables, chemical transport model …
Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees
Fine particulate matter with aerodynamic diameters≤ 2.5 µ m (PM 2.5) has adverse effects
on human health and the atmospheric environment. The estimation of surface PM 2.5 …
on human health and the atmospheric environment. The estimation of surface PM 2.5 …
Regional estimates of chemical composition of fine particulate matter using a combined geoscience-statistical method with information from satellites, models, and …
An accurate fine-resolution surface of the chemical composition of fine particulate matter
(PM2. 5) would offer valuable information for epidemiological studies and health impact …
(PM2. 5) would offer valuable information for epidemiological studies and health impact …
PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data
In recent years, air pollution has become an important public health concern. The high
concentration of fine particulate matter with diameter less than 2.5 µm (PM2. 5) is known to …
concentration of fine particulate matter with diameter less than 2.5 µm (PM2. 5) is known to …