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Performance prediction of ZVI-based anaerobic digestion reactor using machine learning algorithms.
Xu, Weichao; Long, Fei; Zhao, He; Zhang, Yaobin; Liang, Dawei; Wang, Luguang; Lesnik, Keaton Larson; Cao, Hongbin; Zhang, Yuxiu; Liu, Hong.
Afiliação
  • Xu W; Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, United States; School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing 100083, PR China; Beijing Engineering Research Center of Process Pollution
  • Long F; Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, United States.
  • Zhao H; Beijing Engineering Research Center of Process Pollution Control, National Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, PR China. Electronic address: hzhao@ipe.ac.cn.
  • Zhang Y; Key Laboratory of Industrial Ecology and Environmental Engineering (Dalian University of Technology), Ministry of Education, School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, PR China.
  • Liang D; Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, United States; Beijing Key Laboratory of Bio-inspired Energy Materials and Devices, School of Space and Environment, Beihang University, Beijing 102206, PR China.
  • Wang L; Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, United States.
  • Lesnik KL; Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, United States.
  • Cao H; Beijing Engineering Research Center of Process Pollution Control, National Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, PR China.
  • Zhang Y; School of Chemical and Environmental Engineering, China University of Mining and Technology (Beijing), Beijing 100083, PR China. Electronic address: zhangyuxiu@cumtb.edu.cn.
  • Liu H; Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97333, United States. Electronic address: liuh@engr.orst.edu.
Waste Manag ; 121: 59-66, 2021 Feb 15.
Article em En | MEDLINE | ID: mdl-33360168
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ferro / Metano Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ferro / Metano Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article