Shaping the concentration of petroleum hydrocarbon pollution in soil: A machine learning and resistivity-based prediction method.

Meng, Fansong; Wang, Jinguo; Chen, Zhou; Qiao, Fei; Yang, Dong

Meng, Fansong; Wang, Jinguo; Chen, Zhou; Qiao, Fei; Yang, Dong.

Afiliação

Meng F; School of Earth Science and Engineering, Hohai University, Nanjing, 210098, China.
Wang J; School of Earth Science and Engineering, Hohai University, Nanjing, 210098, China. Electronic address: wang_jinguo@hhu.edu.cn.
Chen Z; School of Earth Science and Engineering, Hohai University, Nanjing, 210098, China.
Qiao F; School of Earth Science and Engineering, Hohai University, Nanjing, 210098, China.
Yang D; School of Earth Science and Engineering, Hohai University, Nanjing, 210098, China.

J Environ Manage ; 345: 118817, 2023 Nov 01.

Article em En | MEDLINE | ID: mdl-37597372

Assuntos

Poluentes Ambientais; Poluição por Petróleo; Petróleo; Poluentes do Solo; Solo; Hidrocarbonetos; Poluição por Petróleo/análise; Poluentes do Solo/análise

Palavras-chave

Machine learning; Organic pollutants; Petroleum hydrocarbon; Regression prediction; Resistivity

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes do Solo / Petróleo / Poluição por Petróleo / Poluentes Ambientais Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Environ Manage Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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