Ozone response modeling to NOx and VOC emissions: Examining machine learning models.
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| Title: | Ozone response modeling to NOx and VOC emissions: Examining machine learning models. |
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| Authors: | Kuo CP; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA., Fu JS; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, USA; Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan. Electronic address: jsfu@utk.edu. |
| Source: | Environment international [Environ Int] 2023 Jun; Vol. 176, pp. 107969. Date of Electronic Publication: 2023 May 12. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 7807270 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6750 (Electronic) Linking ISSN: 01604120 NLM ISO Abbreviation: Environ Int Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1873-6750 |
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| DOI: | 10.1016/j.envint.2023.107969 |
