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Free nitrous acid prediction in ANAMMOX process using hybrid deep neural network model.
Li, Junlang; Dong, Jilan; Chen, Zhenguo; Li, Xiaoyong; Yi, Xiaohui; Niu, Guoqiang; He, Jiaan; Lu, Simin; Ke, Yuxiang; Huang, Mingzhi.
Afiliación
  • Li J; SCNU (NAN'AN) Green and Low-carbon Innovation Center, Guangdong Provincial Engineering Research Center of Intelligent Low-carbon Pollution Prevention and Digital Technology & Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretica
  • Dong J; SCNU (NAN'AN) Green and Low-carbon Innovation Center, Guangdong Provincial Engineering Research Center of Intelligent Low-carbon Pollution Prevention and Digital Technology & Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretica
  • Chen Z; SCNU (NAN'AN) Green and Low-carbon Innovation Center, Guangdong Provincial Engineering Research Center of Intelligent Low-carbon Pollution Prevention and Digital Technology & Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretica
  • Li X; SCNU Qingyuan Institute of Science and Technology Innovation Co., Ltd, Qingyuan, 511517, China; South China Intelligence Environment Tecnology (Qingyuan) Co., Ltd, Qingyuan, 511520, China.
  • Yi X; SCNU (NAN'AN) Green and Low-carbon Innovation Center, Guangdong Provincial Engineering Research Center of Intelligent Low-carbon Pollution Prevention and Digital Technology & Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretica
  • Niu G; State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou, 510640, China.
  • He J; SCNU (NAN'AN) Green and Low-carbon Innovation Center, Guangdong Provincial Engineering Research Center of Intelligent Low-carbon Pollution Prevention and Digital Technology & Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretica
  • Lu S; SCNU (NAN'AN) Green and Low-carbon Innovation Center, Guangdong Provincial Engineering Research Center of Intelligent Low-carbon Pollution Prevention and Digital Technology & Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretica
  • Ke Y; State Grid Fujian Electric Power Co., Ltd, Fuzhou, 350004, China. Electronic address: 495623327@qq.com.
  • Huang M; SCNU (NAN'AN) Green and Low-carbon Innovation Center, Guangdong Provincial Engineering Research Center of Intelligent Low-carbon Pollution Prevention and Digital Technology & Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretica
J Environ Manage ; 345: 118566, 2023 Nov 01.
Article en En | MEDLINE | ID: mdl-37423194
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oxidación Anaeróbica del Amoníaco / Ácido Nitroso Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oxidación Anaeróbica del Amoníaco / Ácido Nitroso Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido