Machine learning-based land-use regression models for predicting carbon dioxide concentrations in San Francisco Bay area

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Publication Details

Journal
Environmental Earth Sciences
Published
2025-09-26
DOI
https://doi.org/10.1007/s12665-025-12582-w
Citations
4
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
3.20
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article

Machine learning-based land-use regression models for predicting carbon dioxide concentrations in San Francisco Bay area

F. Fang, Anna C. Smith, Jiansheng Xiang, Linfeng Li
4 citations
Environmental Earth Sciences
Air Quality Monitoring and Forecasting
3.20
article

Machine learning-based land-use regression models for predicting carbon dioxide concentrations in San Francisco Bay area

F. Fang, Anna C. Smith, Jiansheng Xiang, Linfeng Li
article en
4 citations

Abstract

No abstract available for this paper.
Environmental Earth SciencesVol. 84(19)
Imperial College London (GB)
Openalex Percentile: Top 8%
Air Quality Monitoring and Forecasting
3.20
DOIOpen Access PDFOpenAlex
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Machine learning-based land-use regression models for predicting carbon dioxide concentrations in San Francisco Bay area — F. Fang, Anna C. Smith, et al. · Environmental Earth Sciences (2025) | TGRS Research Map | TGRS