The application of strategy based on LSTM for the short-term prediction of PM2. 5 in city

MD Lin, PY Liu, CW Huang, YH Lin - Science of The Total Environment, 2024 - Elsevier
Many cities have long suffered from the events of fine particulate matter (PM 2.5) pollutions.
The Taiwanese Government has long strived to accurately predict the short-term hourly …

High spatial resolution estimates of major PM2. 5 components and their associated health risks in Hong Kong using a coupled land use regression and health risk …

Z Li, SHL Yim, X He, X Xia, KF Ho, JZ Yu - Science of the Total Environment, 2024 - Elsevier
Few studies have focused on the spatial distribution of the typical components and source
tracers of PM 2.5 and their associated health risks, despite the fact that the chemical …

[HTML][HTML] The relative contribution of PM2. 5 components to the obstructive ventilatory dysfunction—insights from a large ventilatory function examination of 305,022 …

Z Li, Y Wang, W Wu, Y Zhao, S Wang, P Wang… - Environment …, 2024 - Elsevier
Background The new round of WHO/ILO Joint Estimates of the Work-related Burden of
Disease assessment requires futher research to provide more evidence, especially on the …

[HTML][HTML] Using a novel strategy to investigate the spatially autocorrelated and clustered associations between short-term exposure to PM2. 5 and mortality and the …

W Wang, J Zeng, X Li, F Liao, S Li, X Tian, F Yin… - Ecotoxicology and …, 2023 - Elsevier
Due to the lack of statistical methods, few studies have investigated the spatial
autocorrelated distribution in the association between short-term exposure to PM 2.5 and …

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 …