Mapping the spatial heterogeneity of nitrogen species in road dust through integrated multi-source remote sensing and interpretable machine learning

Journal:
Environmental Research
Published:
DOI:
10.1016/j.envres.2026.124867
Affiliations:
2
Authors:
3
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Institutions Authors Share
MOE Key Laboratory of Pollution Processes and Environmental Criteria, NKU, China
2.000000
 0.67
China University of Geosciences (CUG), China
1.000000
 0.33
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