[HTML][HTML] Deep-learning architecture for PM2. 5 concentration prediction: A review
S Zhou, W Wang, L Zhu, Q Qiao, Y Kang - Environmental Science and …, 2024 - Elsevier
Accurately predicting the concentration of fine particulate matter (PM 2.5) is crucial for
evaluating air pollution levels and public exposure. Recent advancements have seen a …
evaluating air pollution levels and public exposure. Recent advancements have seen a …
Fractional order Lorenz based physics informed SARFIMA-NARX model to monitor and mitigate megacities air pollution
Air Pollution is an emerging disaster and considered one of the biggest challenges of the
world to effectively control, mitigate and forecast due to abrupt variability, stochastic, and …
world to effectively control, mitigate and forecast due to abrupt variability, stochastic, and …
Development of “air-ground data fusion” based LiDAR method: towards sustainable preservation and utilization of multiple-scaled historical blocks and buildings
W Wang, M Hei, F Peng, J Li, S Chen, Y Huang… - Sustainable Cities and …, 2023 - Elsevier
As important components of urban sustainable development, historical buildings and blocks
have critical cultural, economical, and scientific values. Sustainable preservation and …
have critical cultural, economical, and scientific values. Sustainable preservation and …
Prediction and evaluation of spatial distributions of ozone and urban heat island using a machine learning modified land use regression method
Abstract In summer, Ozone (O 3) pollution and urban heat island (UHI) pose serious health
risks to humans. To obtain the spatial distributions of ozone and urban heat island in **'an in …
risks to humans. To obtain the spatial distributions of ozone and urban heat island in **'an in …
Spatiotemporal air pollution forecasting in houston-TX: a case study for ozone using deep graph neural networks
The presence of pollutants in our atmosphere has become one of humanity's greatest
challenges. These pollutants, produced primarily by burning fossil fuels, are detrimental to …
challenges. These pollutants, produced primarily by burning fossil fuels, are detrimental to …
PM2. 5 concentration forecasting through a novel multi-scale ensemble learning approach considering intercity synergy
Accurate PM 2.5 concentration prediction can provide reliable air pollution warning
information to the public. However, previous studies have often focused on the data of the …
information to the public. However, previous studies have often focused on the data of the …
[HTML][HTML] Ozone concentration forecasting utilizing leveraging of regression machine learnings: A case study at Klang Valley, Malaysia
Abstract At Klang Valley, ground-level ozone is a significant source of air pollution. Ozone (O
3) concentration is affected by meteorological conditions and air pollutants. Linear …
3) concentration is affected by meteorological conditions and air pollutants. Linear …
A long short-term memory-based hybrid model optimized using a genetic algorithm for particulate matter 2.5 prediction
Abstract Bei**g, Shanghai, Singapore, and London are regions with high population density
and industrial activities. In this sense, accurate prediction of the rate of particulate matter 2.5 …
and industrial activities. In this sense, accurate prediction of the rate of particulate matter 2.5 …
A bivariate simultaneous pollutant forecasting approach by Unified Spectro-Spatial Graph Neural Network (USSGNN) and its application in prediction of O3 and NO2 …
Declining urban air quality affects socioeconomic stability, public health, and ecosystems
and is demanding attention of the administration to address environmental sustainability …
and is demanding attention of the administration to address environmental sustainability …
[HTML][HTML] Forecasting O3 and NO2 concentrations with spatiotemporally continuous coverage in southeastern China using a Machine learning approach
Ozone (O 3) is a significant contributor to air pollution and the main constituent of
photochemical smog that plagues China. Nitrogen dioxide (NO 2) is a significant air …
photochemical smog that plagues China. Nitrogen dioxide (NO 2) is a significant air …