Simulating daily PM2. 5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
Q Guo, Z He, Z Wang - Chemosphere, 2023 - Elsevier
Accurate PM 2.5 concentrations predicting is critical for public health and wellness as well
as pollution control. However, traditional methods are difficult to accurately predict PM 2.5 …
as pollution control. However, traditional methods are difficult to accurately predict PM 2.5 …
Prediction method of PM2. 5 concentration based on decomposition and integration
H Yang, W Wang, G Li - Measurement, 2023 - Elsevier
With the acceleration of urbanization leading to a general decrease in air quality, accurate
PM2. 5 concentration prediction is of the utmost practical meaning for the control and …
PM2. 5 concentration prediction is of the utmost practical meaning for the control and …
Forecasting of fine particulate matter based on LSTM and optimization algorithm
Accurate air pollution forecasting may provide valuable information for urban planning to
maintain environmental sustainability and reduce mortality risk due to health problems. The …
maintain environmental sustainability and reduce mortality risk due to health problems. The …
[HTML][HTML] Machine learning algorithms for high-resolution prediction of spatiotemporal distribution of air pollution from meteorological and soil parameters
This study uses machine learning (ML) models for a high-resolution prediction (0.1°× 0.1°) of
air fine particular matter (PM 2.5) concentration, the most harmful to human health, from …
air fine particular matter (PM 2.5) concentration, the most harmful to human health, from …
A novel hybrid model for hourly PM2. 5 prediction considering air pollution factors, meteorological parameters and GNSS-ZTD
F Wu, P Min, Y Jin, K Zhang, H Liu, J Zhao… - Environmental Modelling & …, 2023 - Elsevier
With the rapid development of the economy, PM2. 5 severely harms human health and
social development. In this paper, a novel hybrid hourly PM2. 5 prediction model, named …
social development. In this paper, a novel hybrid hourly PM2. 5 prediction model, named …
[HTML][HTML] Forecasting hourly PM2. 5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms
P Cai, C Zhang, J Chai - Data Science and Management, 2023 - Elsevier
Accurate predictions of hourly PM 2.5 concentrations are crucial for preventing the harmful
effects of air pollution. In this study, a new decomposition-ensemble framework incorporating …
effects of air pollution. In this study, a new decomposition-ensemble framework incorporating …
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 …
Smart solutions for urban health risk assessment: A PM2. 5 monitoring system incorporating spatiotemporal long-short term graph convolutional network
Current spatial-temporal early warning systems aim to predict outdoor air quality in urban
areas either at short or long temporal horizons. These systems implemented architectures …
areas either at short or long temporal horizons. These systems implemented architectures …
An ensemble multi-scale framework for long-term forecasting of air quality
S Jiang, ZG Yu, VV Anh, T Lee, Y Zhou - Chaos: An Interdisciplinary …, 2024 - pubs.aip.org
The significance of accurate long-term forecasting of air quality for a long-term policy
decision for controlling air pollution and for evaluating its impacts on human health has …
decision for controlling air pollution and for evaluating its impacts on human health has …
Forecasting daily PM2. 5 concentrations in Wuhan with a spatial-autocorrelation-based long short-term memory model
Z Liu, C Ge, K Zheng, S Bao, Y Cui, Y Yuan… - Atmospheric …, 2024 - Elsevier
Accurate daily air pollution forecasts play a pivotal role in enabling government to implement
timely emergency responses and helping alert individuals sensitive to air pollution to take …
timely emergency responses and helping alert individuals sensitive to air pollution to take …