Improved Understanding of Dissolved Organic Matter Processing in Freshwater Using Complementary Experimental and Machine Learning Approaches.

Herzsprung, Peter; Wentzky, Valerie; Kamjunke, Norbert; von Tümpling, Wolf; Wilske, Christin; Friese, Kurt; Boehrer, Bertram; Reemtsma, Thorsten; Rinke, Karsten; Lechtenfeld, Oliver J

Herzsprung, Peter; Wentzky, Valerie; Kamjunke, Norbert; von Tümpling, Wolf; Wilske, Christin; Friese, Kurt; Boehrer, Bertram; Reemtsma, Thorsten; Rinke, Karsten; Lechtenfeld, Oliver J.

Affiliation

Herzsprung P; Department Lake Research, UFZ - Helmholtz Centre for Environmental Research, Brückstraße 3a, D-39114 Magdeburg, Germany.
Wentzky V; Department Lake Research, UFZ - Helmholtz Centre for Environmental Research, Brückstraße 3a, D-39114 Magdeburg, Germany.
Kamjunke N; Department River Ecology, UFZ - Helmholtz Centre for Environmental Research, Brückstraße 3a, D-39114 Magdeburg, Germany.
von Tümpling W; Department River Ecology, UFZ - Helmholtz Centre for Environmental Research, Brückstraße 3a, D-39114 Magdeburg, Germany.
Wilske C; Department River Ecology, UFZ - Helmholtz Centre for Environmental Research, Brückstraße 3a, D-39114 Magdeburg, Germany.
Friese K; Department Lake Research, UFZ - Helmholtz Centre for Environmental Research, Brückstraße 3a, D-39114 Magdeburg, Germany.
Boehrer B; Department Lake Research, UFZ - Helmholtz Centre for Environmental Research, Brückstraße 3a, D-39114 Magdeburg, Germany.
Reemtsma T; Department Analytical Chemistry, UFZ - Helmholtz Centre for Environmental Research, Permoserstr. 15, D-04318 Leipzig, Germany.
Rinke K; Institute of Analytical Chemistry, University of Leipzig, D-04103, Leipzig, Germany.
Lechtenfeld OJ; Department Lake Research, UFZ - Helmholtz Centre for Environmental Research, Brückstraße 3a, D-39114 Magdeburg, Germany.

Environ Sci Technol ; 54(21): 13556-13565, 2020 11 03.

Article de En | MEDLINE | ID: mdl-32966053

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Eau de boisson / Écosystème Type d'étude: Prognostic_studies Langue: En Journal: Environ Sci Technol Année: 2020 Type de document: Article Pays d'affiliation: Allemagne

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