Predicting dust pollution from dry bulk ports in coastal cities: A hybrid approach based on data decomposition and deep learning

Wang, Wenyuan; Liu, Bochi; Tian, Qi; Xu, Xinglu; Peng, Yun; Peng, Shitao

doi:10.1016/j.envpol.2024.124053

Environmental Pollution

2024

DOI: 10.1016/j.envpol.2024.124053

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Predicting dust pollution from dry bulk ports in coastal cities: A hybrid approach based on data decomposition and deep learning

Wenyuan Wang,

Bochi Liu,

Qi Tian

et al.

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Cited by 4 publications

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Predicting dust pollution from dry bulk ports in coastal cities: A hybrid approach based on data decomposition and deep learning

Cited by 4 publications

References 71 publications

Hourly PM2.5 concentration prediction for dry bulk port clusters considering spatiotemporal correlation: A novel deep learning blending ensemble model

Hourly PM2.5 concentration prediction for dry bulk port clusters considering spatiotemporal correlation: A novel deep learning blending ensemble model

A study on the forecast of fine dust emissions in the future according to the introduction of eco-friendly ships

Elucidating and forecasting the organochlorine pesticides in suspended particulate matter by a two-stage decomposition based interpretable deep learning approach

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