Prediction of Pollutant Concentration Based on Spatial–Temporal Attention, ResNet and ConvLSTM

Prediction of Pollutant Concentration Based on Spatial–Temporal Attention, ResNet and ConvLSTM

Accurate and reliable prediction of air pollutant concentrations is important for rational avoidance of air pollution events and government policy responses. However, due to the mobility and dynamics of pollution sources, meteorological conditions, and transformation processes, pollutant concentrati...

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Bibliographic Details
Main Authors: Cai Chen, Agen Qiu, Haoyu Chen, Yajun Chen, Xu Liu, Dong Li
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
pollutant concentrations
residual network
ConvLSTM
spatial–temporal attention
Online Access:https://www.mdpi.com/1424-8220/23/21/8863

Internet

https://www.mdpi.com/1424-8220/23/21/8863

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