Comments on "Advancing air pollution forecasting: a review of physical, statistical, and machine learning methods".

Aher SB, Ravindran GC.

DOI: 10.1007/s11356-026-38087-y
Published: 2026-07-30
Container: Environ Sci Pollut Res Int
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s11356-026-38087-y,
  title = {Comments on "Advancing air pollution forecasting: a review of physical, statistical, and machine learning methods".},
  author = {Aher SB and  Ravindran GC.},
  year = {2026},
  journal = {Environ Sci Pollut Res Int},
  doi = {10.1007/s11356-026-38087-y},
  url = {https://doi.org/10.1007/s11356-026-38087-y}
}

RIS

TY  - JOUR
TI  - Comments on "Advancing air pollution forecasting: a review of physical, statistical, and machine learning methods".
AU  - Aher SB
AU  -  Ravindran GC.
PY  - 2026
JO  - Environ Sci Pollut Res Int
DO  - 10.1007/s11356-026-38087-y
UR  - https://doi.org/10.1007/s11356-026-38087-y
ER  -

APA

SB, A., & GC., R. (2026). Comments on "Advancing air pollution forecasting: a review of physical, statistical, and machine learning methods".. Environ Sci Pollut Res Int. https://doi.org/10.1007/s11356-026-38087-y

Source records

europe-pmc · retrieved 2026-09-25T10:12:34.013Z