Large-scale assessment of PFAS compounds in drinking water sources using machine learning-Reference-Cited by-同舟云学术

Large-scale assessment of PFAS compounds in drinking water sources using machine learning

Published:2023-09 Issue: Volume:243 Page:120307
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Fernandez Nicolas^ORCID,Nejadhashemi A. Pouyan^ORCID,Loveall Christian^ORCID

Funder

National Institute of Food and Agriculture

Michigan Department of Natural Resources

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering

Reference74 articles.

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2. AECOM, & EGLE. (2019). 2018 PFAS sampling of drinking water supplies in Michigan. https://www.michigan.gov/pfasresponse/-/media/Project/Websites/PFAS-Response/Drinking-Water/Statewide-Sampling/2018-PFAS-Sampling-Drinking-Water-Supplies-Michigan.pdf?rev=daffdb67b3d44defaabef53748b44f5a&hash=19B0205BE6B1CEE93704567C31A40F53.

3. Fate and effects of poly- and perfluoroalkyl substances in the aquatic environment: a review;Ahrens;Environ. Toxicol. Chem.,2014

4. ASDWA. (2020). Per- and Polyfluoroalkyl substances (PFAS) source water protection guidance project: technical appendix. https://www.asdwa.org/wp-content/uploads/2020/05/ASDWA-PFAS-SWP-Technical-Appendix_FINAL3.pdf.

5. Auch, T. (2014). Michigan waste Landfill facilities. https://www.arcgis.com/home/item.html?id=27c8ebee26e7440096ae62048dd51b58#overview.

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