Nonnegative tensor factorization for contaminant source identification.

Vesselinov, Velimir V; Alexandrov, Boian S; O'Malley, Daniel

Vesselinov, Velimir V; Alexandrov, Boian S; O'Malley, Daniel.

Afiliação

Vesselinov VV; Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA. Electronic address: vvv@lanl.gov.
Alexandrov BS; Physics and Chemistry of Materials Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA.
O'Malley D; Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA.

J Contam Hydrol ; 220: 66-97, 2019 Jan.

Article em En | MEDLINE | ID: mdl-30528243

Assuntos

Água Subterrânea; Poluentes Químicos da Água; Monitoramento Ambiental; Isótopos

Palavras-chave

Advection-diffusion transport; Blind Source Separation; Exploratory analysis; Feature Extraction; Geochemical signatures; Groundwater contamination; Nonnegative tensor factorization; Robustness analysis; Source identification; Tucker decomposition; Unsupervised machine learning

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Água Subterrânea Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Contam Hydrol Assunto da revista: TOXICOLOGIA Ano de publicação: 2019 Tipo de documento: Article

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