Estimation of multi-media metal(loid)s around abandoned mineral processing plants using hyperspectral technology and extreme learning machine.

Bian, Zijin; Sun, Lina; Tian, Kang; Liu, Benle; Huang, Biao; Wu, Longhua

Bian, Zijin; Sun, Lina; Tian, Kang; Liu, Benle; Huang, Biao; Wu, Longhua.

Afiliação

Bian Z; Key Laboratory of Regional Environment and Eco-Remediation (Shenyang University), Ministry of Education, Shenyang, 110044, China.
Sun L; CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
Tian K; Key Laboratory of Regional Environment and Eco-Remediation (Shenyang University), Ministry of Education, Shenyang, 110044, China. sln629@163.com.
Liu B; CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
Huang B; CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
Wu L; CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.

Environ Sci Pollut Res Int ; 30(7): 19495-19512, 2023 Feb.

Article em En | MEDLINE | ID: mdl-36239890

Assuntos

Arsênio; Metais Pesados; Arsênio/análise; Cádmio; China; Chumbo; Metais Pesados/análise; Minerais; Tecnologia; Estanho

Palavras-chave

Continuous wavelet transform (CWT); Extreme learning machine (ELM); Hyperspectral; Metal(loid)s; Partial least squares regression (PLSR)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Metais Pesados Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Alemanha

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