A machine learning method to estimate PM 2.5 concentrations across China with remote sensing, meteorological and land use information
Background: Machine learning algorithms have very high predictive ability. However, no study has used machine learning to estimate historical concentrations of PM2.5 (particulate matter with aerodynamic diameter ≤ 2.5 μm) at daily time scale in China at a national level. Objectives: To estimate dai...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Published: |
Elsevier
2018
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/53028/ |