Effective PM2. 5 concentration forecasting based on multiple spatial–temporal GNN for areas without monitoring stations
IF Su, YC Chung, C Lee, PM Huang - Expert Systems with Applications, 2023 - Elsevier
With rapid industrial developments, air pollution has become a hot issue globally. Accurate
prediction of PM2. 5 (a category of particulate pollutant with a diameter of less than 2. 5 μ m) …
prediction of PM2. 5 (a category of particulate pollutant with a diameter of less than 2. 5 μ m) …
Near-surface PM2. 5 prediction combining the complex network characterization and graph convolution neural network
G Zhao, H He, Y Huang, J Ren - Neural Computing and Applications, 2021 - Springer
Massive studies focus on the prediction of main pollutants, to improve air quality by
revealing the evolution of pollutants. However, existing prediction methods mostly …
revealing the evolution of pollutants. However, existing prediction methods mostly …
Predicting short-term PM2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural network
Predicting PM2. 5 concentrations at an hourly temporal resolution in urban areas can
provide key information for public health protection. The spatiotemporal dependency among …
provide key information for public health protection. The spatiotemporal dependency among …
Attention-based parallel networks (APNet) for PM2. 5 spatiotemporal prediction
Urban particulate matter forecast is an important part of air pollution early warning and
control management, especially the forecast of fine particulate matter (PM 2.5). However, the …
control management, especially the forecast of fine particulate matter (PM 2.5). However, the …
A forecasting framework on fusion of spatiotemporal features for multi-station PM2. 5
J Wang, T Wu, J Mao, H Chen - Expert Systems with Applications, 2024 - Elsevier
Persistent PM 2.5 pollution poses a serious threat to human health. Developing an accurate
urban regional PM 2.5 forecasting is of practical significance for environmental protection …
urban regional PM 2.5 forecasting is of practical significance for environmental protection …
Improved prediction of hourly PM2. 5 concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model
Y Chen, L Huang, X Xie, Z Liu, J Hu - Science of The Total Environment, 2024 - Elsevier
Accurate prediction of particulate matter with aerodynamic diameter≤ 2.5 μm (PM 2.5) is
important for environmental management and human health protection. In recent years …
important for environmental management and human health protection. In recent years …
Spatio-temporal fusion of meteorological factors for multi-site PM2. 5 prediction: A deep learning and time-variant graph approach
H Wang, L Zhang, R Wu, Y Cen - Environmental Research, 2023 - Elsevier
In the field of environmental science, traditional methods for predicting PM2. 5
concentrations primarily focus on singular temporal or spatial dimensions. This approach …
concentrations primarily focus on singular temporal or spatial dimensions. This approach …
Prediction of PM2. 5 concentration in urban agglomeration of China by hybrid network model
S Wu, H Li - Journal of Cleaner Production, 2022 - Elsevier
The urban agglomeration area is a heavy disaster area of PM2. 5 pollution, and the problem
of PM2. 5 pollution seriously affects the natural environment and public health. Accurate …
of PM2. 5 pollution seriously affects the natural environment and public health. Accurate …
A hybrid model for spatiotemporal forecasting of PM2. 5 based on graph convolutional neural network and long short-term memory
Y Qi, Q Li, H Karimian, D Liu - Science of the Total Environment, 2019 - Elsevier
Increasing availability of data related to air quality from ground monitoring stations has
provided the chance for data mining researchers to propose sophisticated models for …
provided the chance for data mining researchers to propose sophisticated models for …
Spatiotemporal causal convolutional network for forecasting hourly PM2. 5 concentrations in Beijing, China
Abstract Air pollution in Northeastern Asia is a serious environmental problem, especially in
China where PM 2.5 levels are quite high. Accurate PM 2.5 predictions are significant to …
China where PM 2.5 levels are quite high. Accurate PM 2.5 predictions are significant to …