A spatial correlation prediction model of urban PM2.5 concentration based on deconvolution and LSTM
Precise prediction of air pollutants can effectively reducre the occurrence of heavy pollution incidents. With the current surge of massive data, deep learning appears to be a promising technique to achieve dynamic prediction of air pollutant concentration from both the spatial and temporal dimensio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |