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Predicting the quality of air with machine learning approaches: Current research priorities and future perspectives
The spiraling growth of the world's population and unregulated urbanization have resulted in
many environmental problems, including poor quality of air, which is associated with a wide …
many environmental problems, including poor quality of air, which is associated with a wide …
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability
With the rapid development of economy and the frequent occurrence of air pollution
incidents, the problem of air pollution has become a hot issue of concern to the whole …
incidents, the problem of air pollution has become a hot issue of concern to the whole …
Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases
Pakistan ranks third in the world in terms of mortality attributable to air pollution, with aerosol
mass concentrations (PM 2.5) consistently well above WHO (World Health Organization) air …
mass concentrations (PM 2.5) consistently well above WHO (World Health Organization) air …
Long-term PM2. 5 pollution over China: Identification of PM2. 5 pollution hotspots and source contributions
Fine particulate matter, with an aerodynamic diameter≤ 2.5 μm (PM 2.5), is a severe
problem in China. The lack of ground-based measurements and its sparse distribution …
problem in China. The lack of ground-based measurements and its sparse distribution …
Aerosol characteristics from earth observation systems: A comprehensive investigation over South Asia (2000–2019)
The present study summarizes two decades (2000–2019) of climatology and trends in
aerosol loading and optical properties using a high spatial resolution data obtained from …
aerosol loading and optical properties using a high spatial resolution data obtained from …
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 …
A Satellite-Based High-Resolution (1-km) Ambient PM2.5 Database for India over Two Decades (2000–2019): Applications for Air Quality Management
Fine particulate matter (PM2. 5) is a major criteria pollutant affecting the environment, health
and climate. In India where ground-based measurements of PM2. 5 is scarce, it is important …
and climate. In India where ground-based measurements of PM2. 5 is scarce, it is important …
Estimating ground-level PM2.5 using subset regression model and machine learning algorithms in Asian megacity, Dhaka, Bangladesh
Abstract Fine particulate matter (PM2. 5) has become a prominent pollutant due to rapid
economic development, urbanization, industrialization, and transport activities, which has …
economic development, urbanization, industrialization, and transport activities, which has …
Long-term spatiotemporal trends in aerosol optical depth and its relationship with enhanced vegetation index and meteorological parameters over South Asia
Satellite-based aerosol optical depth (AOD) is columnar light extinction by aerosol
absorption and scattering and has become the most important variable for the assessment of …
absorption and scattering and has become the most important variable for the assessment of …
Prediction of daily mean and one-hour maximum PM2.5 concentrations and applications in Central Mexico using satellite-based machine-learning models
Background Machine-learning algorithms are becoming popular techniques to predict
ambient air PM2. 5 concentrations at high spatial resolutions (1× 1 km) using satellite-based …
ambient air PM2. 5 concentrations at high spatial resolutions (1× 1 km) using satellite-based …