Machine learning in environmental research: common pitfalls and best practices
Machine learning (ML) is increasingly used in environmental research to process large data
sets and decipher complex relationships between system variables. However, due to the …
sets and decipher complex relationships between system variables. However, due to the …
Application of machine learning in atmospheric pollution research: A state-of-art review
Abstract Machine learning (ML) is an artificial intelligence technology that has been used in
atmospheric pollution research due to their powerful fitting ability. In this review, 105 articles …
atmospheric pollution research due to their powerful fitting ability. In this review, 105 articles …
Drivers of PM2.5 air pollution deaths in China 2002–2017
Abstract Between 2002 and 2017, China's gross domestic product grew by 284%, but this
surge was accompanied by a similarly prodigious growth in energy consumption, air …
surge was accompanied by a similarly prodigious growth in energy consumption, air …
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 …
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 …
Pathways of China's PM2.5 air quality 2015–2060 in the context of carbon neutrality
Clean air policies in China have substantially reduced particulate matter (PM2. 5) air
pollution in recent years, primarily by curbing end-of-pipe emissions. However, reaching the …
pollution in recent years, primarily by curbing end-of-pipe emissions. However, reaching the …
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 …
[HTML][HTML] Prospective contributions of biomass pyrolysis to China's 2050 carbon reduction and renewable energy goals
Recognizing that bioenergy with carbon capture and storage (BECCS) may still take years to
mature, this study focuses on another photosynthesis-based, negative-carbon technology …
mature, this study focuses on another photosynthesis-based, negative-carbon technology …
Estimating spatiotemporal variation in ambient ozone exposure during 2013–2017 using a data-fusion model
Since 2013, clean-air actions in China have reduced ambient concentrations of PM2. 5.
However, recent studies suggest that ground surface O3 concentrations increased over the …
However, recent studies suggest that ground surface O3 concentrations increased over the …
An ensemble learning approach for estimating high spatiotemporal resolution of ground-level ozone in the contiguous United States
In this paper, we integrated multiple types of predictor variables and three types of machine
learners (neural network, random forest, and gradient boosting) into a geographically …
learners (neural network, random forest, and gradient boosting) into a geographically …