Quantifying Aviation-Related Contributions to Ambient Ultrafine Particle Number Concentrations Using Interpretable Machine Learning.

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Bibliographic Details
Title: Quantifying Aviation-Related Contributions to Ambient Ultrafine Particle Number Concentrations Using Interpretable Machine Learning.
Authors: Mueller SC; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States., Patil P; Department of Biostatistics, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States., Levy JI; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States., Hudda N; Department of Civil and Environmental Engineering, Tufts University, 200 College Avenue, Medford, Massachusetts 02155, United States., Durant JL; Department of Civil and Environmental Engineering, Tufts University, 200 College Avenue, Medford, Massachusetts 02155, United States., Gause EL; Center for Climate and Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States., van Loenen BD; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States., Bermudez M; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States., Geddes JA; Department of Earth and Environment, Boston University College of Arts and Sciences, 725 Commonwealth Avenue, Boston, Massachusetts 02215, United States., Lane KJ; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States.
Source: Environmental science & technology [Environ Sci Technol] 2025 Sep 23; Vol. 59 (37), pp. 19942-19952. Date of Electronic Publication: 2025 Sep 11.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1520-5851
DOI:10.1021/acs.est.5c07989