Predicting hourly PM2.5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model.
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| Title: | Predicting hourly PM |
|---|---|
| Authors: | Yu M; Department of Geography, The Pennsylvania State University, United States of America. Electronic address: mqy5198@psu.edu., Masrur A; Environmental Systems Research Institute, United States of America., Blaszczak-Boxe C; Department of Geosciences, The Pennsylvania State University, United States of America; Department of Interdisciplinary Studies, Howard University, United States of America. |
| Source: | The Science of the total environment [Sci Total Environ] 2023 Feb 20; Vol. 860, pp. 160446. Date of Electronic Publication: 2022 Nov 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36436649 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting hourly PM<subscript>2.5</subscript> concentrations in wildfire-prone areas using a SpatioTemporal Transformer model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yu+M%22">Yu M</searchLink>; Department of Geography, The Pennsylvania State University, United States of America. Electronic address: mqy5198@psu.edu.<br /><searchLink fieldCode="AU" term="%22Masrur+A%22">Masrur A</searchLink>; Environmental Systems Research Institute, United States of America.<br /><searchLink fieldCode="AU" term="%22Blaszczak-Boxe+C%22">Blaszczak-Boxe C</searchLink>; Department of Geosciences, The Pennsylvania State University, United States of America; Department of Interdisciplinary Studies, Howard University, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220330500%22">The Science of the total environment</searchLink> [Sci Total Environ] 2023 Feb 20; Vol. 860, pp. 160446. <i>Date of Electronic Publication: </i>2022 Nov 25. – 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="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>0330500 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-1026 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200489697%22">00489697 </searchLink><i>NLM ISO Abbreviation: </i>Sci Total Environ <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36436649 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.scitotenv.2022.160446 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 160446 Titles: – TitleFull: Predicting hourly PM2.5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu M – PersonEntity: Name: NameFull: Masrur A – PersonEntity: Name: NameFull: Blaszczak-Boxe C IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 02 Text: 2023 Feb 20 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1879-1026 Numbering: – Type: volume Value: 860 Titles: – TitleFull: The Science of the total environment Type: main |
| ResultId | 1 |
