The use of the self-organizing map (SOM) methodology to study the dissolved organic matter (DOM) in different water body types
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Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 90(2024), 1 vom: 24. Juli, Seite 373-383
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| 1. Verfasser: |
Song, Han
(VerfasserIn) |
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| Weitere Verfasser: |
Gao, Liangmin,
Li, Xiaolong,
Zhang, Kai,
Xia, Jieyu,
Shu, Xin,
Wu, Lin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research
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| Schlagworte: | Journal Article
absolute principal component-multiple linear regression
dissolved organic matter
fluorescence spectroscopy
machine learning
non-point source pollution
self-organizing map
Humic Substances
Organic Chemicals
Water Pollutants, Chemical |
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