Multi-site, multi-pollutant atmospheric data analysis using Riemannian geometry.

Smith, Alexander; Hua, Jinxi; de Foy, Benjamin; Schauer, James J; Zavala, Victor M

Smith, Alexander; Hua, Jinxi; de Foy, Benjamin; Schauer, James J; Zavala, Victor M.

Afiliação

Smith A; Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI, USA.
Hua J; School of Architecture, Taiyuan University of Technology, Taiyuan, China.
de Foy B; Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, USA.
Schauer JJ; Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI, USA; Department of Civil and Environmental Engineering, University of Wisconsin, Madison, WI, USA.
Zavala VM; Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI, USA. Electronic address: victor.zavala@wisc.edu.

Sci Total Environ ; 892: 164064, 2023 Sep 20.

Article em En | MEDLINE | ID: mdl-37230339

Assuntos

Algoritmos; Poluentes Ambientais; Análise de Dados; Pequim; China

Palavras-chave

Atmospheric monitoring; Data science; Dimensionality reduction; Multivariate analysis; Outlier detection; Spatial interpolation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Poluentes Ambientais País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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