Machine-Learning Source Apportionment of Particulate Pollution Aids Urban Emission Regulations.
Saved in:
| Title: | Machine-Learning Source Apportionment of Particulate Pollution Aids Urban Emission Regulations. |
|---|---|
| Authors: | Peng X; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.; State Environmental Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Secondary Air Pollution Research, Guangdong Ecological Environmental Monitoring Center, Guangzhou 510308, China., Ma HN; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China., He LY; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China., Cao LM; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.; Environmental Laboratory, PKU-HKUST Shenzhen-Hong Kong Institution, Shenzhen 518057, China., Tang MX; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China., Wang Y; Department of Earth System Science, Stanford University, Stanford, California 94305, United States., Chen DH; State Environmental Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Secondary Air Pollution Research, Guangdong Ecological Environmental Monitoring Center, Guangzhou 510308, China., Zhou Y; State Environmental Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Secondary Air Pollution Research, Guangdong Ecological Environmental Monitoring Center, Guangzhou 510308, China., Tang KJ; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China., He L; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China., Feng N; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China., Zeng LW; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China., Wang Y; Department of Earth System Science, Stanford University, Stanford, California 94305, United States., Huang XF; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China. |
| Source: | Environmental science & technology [Environ Sci Technol] 2026 Apr 21; Vol. 60 (15), pp. 11564-11576. Date of Electronic Publication: 2026 Apr 08. |
| 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: 41948948 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Machine-Learning Source Apportionment of Particulate Pollution Aids Urban Emission Regulations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Peng+X%22">Peng X</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.; State Environmental Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Secondary Air Pollution Research, Guangdong Ecological Environmental Monitoring Center, Guangzhou 510308, China.<br /><searchLink fieldCode="AU" term="%22Ma+HN%22">Ma HN</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22He+LY%22">He LY</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22Cao+LM%22">Cao LM</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.; Environmental Laboratory, PKU-HKUST Shenzhen-Hong Kong Institution, Shenzhen 518057, China.<br /><searchLink fieldCode="AU" term="%22Tang+MX%22">Tang MX</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Earth System Science, Stanford University, Stanford, California 94305, United States.<br /><searchLink fieldCode="AU" term="%22Chen+DH%22">Chen DH</searchLink>; State Environmental Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Secondary Air Pollution Research, Guangdong Ecological Environmental Monitoring Center, Guangzhou 510308, China.<br /><searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; State Environmental Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Secondary Air Pollution Research, Guangdong Ecological Environmental Monitoring Center, Guangzhou 510308, China.<br /><searchLink fieldCode="AU" term="%22Tang+KJ%22">Tang KJ</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22He+L%22">He L</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22Feng+N%22">Feng N</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22Zeng+LW%22">Zeng LW</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Earth System Science, Stanford University, Stanford, California 94305, United States.<br /><searchLink fieldCode="AU" term="%22Huang+XF%22">Huang XF</searchLink>; Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220213155%22">Environmental science & technology</searchLink> [Environ Sci Technol] 2026 Apr 21; Vol. 60 (15), pp. 11564-11576. <i>Date of Electronic Publication: </i>2026 Apr 08. – 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=41948948 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1021/acs.est.5c14501 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 11564 Titles: – TitleFull: Machine-Learning Source Apportionment of Particulate Pollution Aids Urban Emission Regulations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Peng X – PersonEntity: Name: NameFull: Ma HN – PersonEntity: Name: NameFull: He LY – PersonEntity: Name: NameFull: Cao LM – PersonEntity: Name: NameFull: Tang MX – PersonEntity: Name: NameFull: Wang Y – PersonEntity: Name: NameFull: Chen DH – PersonEntity: Name: NameFull: Zhou Y – PersonEntity: Name: NameFull: Tang KJ – PersonEntity: Name: NameFull: He L – PersonEntity: Name: NameFull: Feng N – PersonEntity: Name: NameFull: Zeng LW – PersonEntity: Name: NameFull: Wang Y – PersonEntity: Name: NameFull: Huang XF IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 04 Text: 2026 Apr 21 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1520-5851 Numbering: – Type: volume Value: 60 – Type: issue Value: 15 Titles: – TitleFull: Environmental science & technology Type: main |
| ResultId | 1 |