An interpretable physics-informed deep learning model for estimating multiple air pollutants
Accurate and effective monitoring of atmospheric components is urgently needed due to the compound air pollution in China. Despite numerous efforts to estimate various air pollutant concentrations, the focus on individual pollutants has overlooked their interactions, thereby limiting estimation accu...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2025.2482272 |
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