Deep learning for water quality

Wei Zhi; Alison Appling; Heather E. Golden; Joel E. Podgorski; Li Li

doi:10.1038/s44221-024-00202-z

Deep learning for water quality

Wei Zhi (Pennsylvania State University) iD Alison Appling (United States Geological Survey) iD Heather E. Golden (Environmental Protection Agency) iD Joel E. Podgorski (Swiss Federal Institute of Aquatic Science and Technology) iD Li Li (Pennsylvania State University) iD

Journal: Nature Water • 2024-03-12 • Springer Science+Business Media • ISSN: 2731-6084

Abstract

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Subjects & Keywords

# Hydrological Forecasting Using AI # Environmental Science # Water Quality and Pollution Assessment # Water Quality Monitoring Technologies

How to Cite this Article

                    Wei Zhi, Alison Appling, Heather E. Golden, et al. (2024). "Deep learning for water quality". Nature Water. https://doi.org/10.1038/s44221-024-00202-z                

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Open Access

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Identifiers & Provenance

DOI: https://doi.org/10.1038/s44221-024-00202-z ↗
PMCID: 11151732 ↗
PMID: 38846520 ↗
OpenAlex: W4392715357 ↗
Primary Index: OPENALEX