Machine Learning Predictions of PM <sub>2.5</sub> and Their Applications to Exposure and Health Assessment in the CONUS

K. Fan, A. Bloom, Z. Qu

Open source

DOI: 10.1029/2026gh001884
Published: 2026-10
Container: GeoHealth
Publisher: American Geophysical Union (AGU)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1029/2026gh001884,
  title = {Machine Learning Predictions of PM
                    <sub>2.5</sub>
                    and Their Applications to Exposure and Health Assessment in the CONUS},
  author = {K. Fan and A. Bloom and Z. Qu},
  year = {2026},
  journal = {GeoHealth},
  doi = {10.1029/2026gh001884},
  url = {https://doi.org/10.1029/2026gh001884}
}

RIS

TY  - JOUR
TI  - Machine Learning Predictions of PM
                    <sub>2.5</sub>
                    and Their Applications to Exposure and Health Assessment in the CONUS
AU  - K. Fan
AU  - A. Bloom
AU  - Z. Qu
PY  - 2026
JO  - GeoHealth
DO  - 10.1029/2026gh001884
UR  - https://doi.org/10.1029/2026gh001884
ER  -

APA

Fan, K., Bloom, A., & Qu, Z. (2026). Machine Learning Predictions of PM <sub>2.5</sub> and Their Applications to Exposure and Health Assessment in the CONUS. GeoHealth. https://doi.org/10.1029/2026gh001884

Source records

crossref · retrieved 2026-11-09T21:22:00.866Z