Predicting hourly PM2.5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model.
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| Title: | Predicting hourly PM |
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| 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 |
| ISSN: | 1879-1026 |
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| DOI: | 10.1016/j.scitotenv.2022.160446 |
