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Simulating a combined lysis-cryptic and biological nitrogen removal system treating domestic wastewater at low C/N ratios using artificial neural network.
Yang, Shan-Shan; Yu, Xin-Lei; Ding, Meng-Qi; He, Lei; Cao, Guang-Li; Zhao, Lei; Tao, Yu; Pang, Ji-Wei; Bai, Shun-Wen; Ding, Jie; Ren, Nan-Qi.
Afiliación
  • Yang SS; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150000, China.
  • Yu XL; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150000, China.
  • Ding MQ; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150000, China.
  • He L; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150000, China.
  • Cao GL; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150000, China.
  • Zhao L; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150000, China.
  • Tao Y; Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China. Electronic address: yutao@rcees.ac.cn.
  • Pang JW; China Energy Conservation and Environmental Protection Group, Beijing 100089, China. Electronic address: pangjiwei@cepec.cn.
  • Bai SW; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150000, China.
  • Ding J; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150000, China.
  • Ren NQ; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150000, China.
Water Res ; 189: 116576, 2021 Feb 01.
Article en En | MEDLINE | ID: mdl-33161328
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aguas Residuales / Nitrógeno Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Res Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aguas Residuales / Nitrógeno Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Res Año: 2021 Tipo del documento: Article País de afiliación: China