A physically constrained and interpretable deep learning framework for PM2.5 inversion under sparse monitoring conditions in arid regions
Fields of Study & Subjects
Air Quality Monitoring and Forecasting
Atmospheric chemistry and aerosols
Air Quality and Health Impacts
Publication details
- Journal / source
- Environmental Pollution
- Publisher
- Elsevier BV
- Volume
- 399
- Pages
- 128233–128233
- Publication date
- 30 April 2026
- Language
- EN