Matrix-specific PFAS source allocation machine learning-based models: Identifying differential indicators in soil and water systems.
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| Title: | Matrix-specific PFAS source allocation machine learning-based models: Identifying differential indicators in soil and water systems. |
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| Authors: | Hong JK; Department of Environment and Energy Engineering, Chnonnam National University, Gwangju, 61186, Republic of Korea., Oh S; Department of Environmental research, Korea Institute of Civil engineering and building Technology (KICT), Gyeonggi-Do, 10223, Republic of Korea., Lee TK; Department of Environmental and Energy Engineering, Yonsei University, Wonju, 26493, Republic of Korea., Park S; Department of Environmental research, Korea Institute of Civil engineering and building Technology (KICT), Gyeonggi-Do, 10223, Republic of Korea; Department of Civil and Environmental Engineering, University of Science and Technology, Daejeon, 34113, Republic of Korea. Electronic address: srpark@kict.re.kr. |
| Source: | Environmental research [Environ Res] 2025 Nov 15; Vol. 285 (Pt 1), pp. 122337. Date of Electronic Publication: 2025 Jul 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0953 (Electronic) Linking ISSN: 00139351 NLM ISO Abbreviation: Environ Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1096-0953 |
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| DOI: | 10.1016/j.envres.2025.122337 |
