Machine learning–driven groundwater quality classification using physicochemical parameters and regulatory thresholds

Nisha Kumari Pandit, Aniket Anand, Sumer Singh Meena

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DOI: 10.1007/s10661-026-15387-x
Published: 2026-04-29
Container: Environmental Monitoring and Assessment
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10661-026-15387-x,
  title = {Machine learning–driven groundwater quality classification using physicochemical parameters and regulatory thresholds},
  author = {Nisha Kumari Pandit and Aniket Anand and Sumer Singh Meena},
  year = {2026},
  journal = {Environmental Monitoring and Assessment},
  doi = {10.1007/s10661-026-15387-x},
  url = {https://doi.org/10.1007/s10661-026-15387-x}
}

RIS

TY  - JOUR
TI  - Machine learning–driven groundwater quality classification using physicochemical parameters and regulatory thresholds
AU  - Nisha Kumari Pandit
AU  - Aniket Anand
AU  - Sumer Singh Meena
PY  - 2026
JO  - Environmental Monitoring and Assessment
DO  - 10.1007/s10661-026-15387-x
UR  - https://doi.org/10.1007/s10661-026-15387-x
ER  -

APA

Pandit, N. K., Anand, A., & Meena, S. S. (2026). Machine learning–driven groundwater quality classification using physicochemical parameters and regulatory thresholds. Environmental Monitoring and Assessment. https://doi.org/10.1007/s10661-026-15387-x

Source records

crossref · retrieved 2026-09-26T16:47:21.571Z