View in EDS

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

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40934392
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantifying Aviation-Related Contributions to Ambient Ultrafine Particle Number Concentrations Using Interpretable Machine Learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Mueller+SC%22">Mueller SC</searchLink>; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States.<br /><searchLink fieldCode="AU" term="%22Patil+P%22">Patil P</searchLink>; Department of Biostatistics, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States.<br /><searchLink fieldCode="AU" term="%22Levy+JI%22">Levy JI</searchLink>; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States.<br /><searchLink fieldCode="AU" term="%22Hudda+N%22">Hudda N</searchLink>; Department of Civil and Environmental Engineering, Tufts University, 200 College Avenue, Medford, Massachusetts 02155, United States.<br /><searchLink fieldCode="AU" term="%22Durant+JL%22">Durant JL</searchLink>; Department of Civil and Environmental Engineering, Tufts University, 200 College Avenue, Medford, Massachusetts 02155, United States.<br /><searchLink fieldCode="AU" term="%22Gause+EL%22">Gause EL</searchLink>; Center for Climate and Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States.<br /><searchLink fieldCode="AU" term="%22van+Loenen+BD%22">van Loenen BD</searchLink>; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States.<br /><searchLink fieldCode="AU" term="%22Bermudez+M%22">Bermudez M</searchLink>; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States.<br /><searchLink fieldCode="AU" term="%22Geddes+JA%22">Geddes JA</searchLink>; Department of Earth and Environment, Boston University College of Arts and Sciences, 725 Commonwealth Avenue, Boston, Massachusetts 02215, United States.<br /><searchLink fieldCode="AU" term="%22Lane+KJ%22">Lane KJ</searchLink>; Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, Massachusetts 02118, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220213155%22">Environmental science & technology</searchLink> [Environ Sci Technol] 2025 Sep 23; Vol. 59 (37), pp. 19942-19952. <i>Date of Electronic Publication: </i>2025 Sep 11.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0213155 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-5851 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220013936X%22">0013936X </searchLink><i>NLM ISO Abbreviation: </i>Environ Sci Technol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40934392
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1021/acs.est.5c07989
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 19942
    Titles:
      – TitleFull: Quantifying Aviation-Related Contributions to Ambient Ultrafine Particle Number Concentrations Using Interpretable Machine Learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mueller SC
      – PersonEntity:
          Name:
            NameFull: Patil P
      – PersonEntity:
          Name:
            NameFull: Levy JI
      – PersonEntity:
          Name:
            NameFull: Hudda N
      – PersonEntity:
          Name:
            NameFull: Durant JL
      – PersonEntity:
          Name:
            NameFull: Gause EL
      – PersonEntity:
          Name:
            NameFull: van Loenen BD
      – PersonEntity:
          Name:
            NameFull: Bermudez M
      – PersonEntity:
          Name:
            NameFull: Geddes JA
      – PersonEntity:
          Name:
            NameFull: Lane KJ
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 23
              M: 09
              Text: 2025 Sep 23
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1520-5851
          Numbering:
            – Type: volume
              Value: 59
            – Type: issue
              Value: 37
          Titles:
            – TitleFull: Environmental science & technology
              Type: main
ResultId 1