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Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars.
Zhang, Wei; Ashraf, Waqar Muhammad; Senadheera, Sachini Supunsala; Alessi, Daniel S; Tack, Filip M G; Ok, Yong Sik.
Afiliação
  • Zhang W; Korea Biochar Research Center, APRU Sustainable Waste Management & Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea; School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, PR China.
  • Ashraf WM; The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK.
  • Senadheera SS; Korea Biochar Research Center, APRU Sustainable Waste Management & Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea; International ESG Association (IESGA), Seoul 06621, Republic of Korea.
  • Alessi DS; Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB T6G 2E3, Canada.
  • Tack FMG; Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, Frieda Saeysstraat 1, B-9052 Gent, Belgium.
  • Ok YS; Korea Biochar Research Center, APRU Sustainable Waste Management & Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea; International ESG Association (IESGA), Seoul 06621, Republic of Korea. Electronic address: yongsikok@korea.ac.kr.
Sci Total Environ ; 904: 166678, 2023 Dec 15.
Article em En | MEDLINE | ID: mdl-37657549
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Poluentes Químicos da Água / Arsenitos / Purificação da Água Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Poluentes Químicos da Água / Arsenitos / Purificação da Água Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article