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Application of life cycle assessment and machine learning for the production and environmental sustainability assessment of hydrothermal bio-oil.
Guo, Genmao; He, Yuan; Jin, Fangming; Masek, Ondrej; Huang, Qing.
Afiliação
  • Guo G; Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province/ Center for Eco-Environmental Restoration Engineering of Hainan Province/ State Key Laboratory of Marine Resource Utilization in South China Sea/ College of Ecology and Environment, Hainan University
  • He Y; Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province/ Center for Eco-Environmental Restoration Engineering of Hainan Province/ State Key Laboratory of Marine Resource Utilization in South China Sea/ College of Ecology and Environment, Hainan University
  • Jin F; Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province/ Center for Eco-Environmental Restoration Engineering of Hainan Province/ State Key Laboratory of Marine Resource Utilization in South China Sea/ College of Ecology and Environment, Hainan University
  • Masek O; UK Biochar Research Centre, School of Geosciences, University of Edinburgh, Edinburgh EH9 3FF, UK.
  • Huang Q; Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province/ Center for Eco-Environmental Restoration Engineering of Hainan Province/ State Key Laboratory of Marine Resource Utilization in South China Sea/ College of Ecology and Environment, Hainan University
Bioresour Technol ; 379: 129027, 2023 Jul.
Article em En | MEDLINE | ID: mdl-37030420
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Óleos de Plantas / Biocombustíveis Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioresour Technol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Óleos de Plantas / Biocombustíveis Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioresour Technol Ano de publicação: 2023 Tipo de documento: Article