Construction of Models To Predict the Effectiveness of E-Waste Control through Capture of Volatile Organic Compounds and Metals/Metalloids Exposure Fingerprints: A Six-Year Longitudinal Study.

Yu, Yun-Jiang; Li, Meng-Yang; Li, Lei-Zi; Liao, Zeng-Quan; Zhu, Xiao-Hui; Li, Zhen-Chi; Xiang, Ming-Deng; Kuang, Hong-Xuan

Yu, Yun-Jiang; Li, Meng-Yang; Li, Lei-Zi; Liao, Zeng-Quan; Zhu, Xiao-Hui; Li, Zhen-Chi; Xiang, Ming-Deng; Kuang, Hong-Xuan.

Afiliação

Yu YJ; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, P.R. China.
Li MY; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, P.R. China.
Li LZ; School of Life Sciences, South China Normal University, Guangzhou 510631, P.R. China.
Liao ZQ; School of Life Sciences, South China Normal University, Guangzhou 510631, P.R. China.
Zhu XH; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, P.R. China.
Li ZC; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, P.R. China.
Xiang MD; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, P.R. China.
Kuang HX; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, P.R. China.

Environ Sci Technol ; 57(25): 9150-9162, 2023 06 27.

Article em En | MEDLINE | ID: mdl-37319360

Assuntos

Resíduo Eletrônico; Metaloides; Compostos Orgânicos Voláteis; Criança; Humanos; Metaloides/análise; Estudos Longitudinais; Metais; Reciclagem; China

Palavras-chave

children; e-waste recycling; machine learning; regulation; support vector machine

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Orgânicos Voláteis / Metaloides / Resíduo Eletrônico Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Humans País/Região como assunto: Asia Idioma: En Revista: Environ Sci Technol Ano de publicação: 2023 Tipo de documento: Article

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