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Machine learning in natural and engineered water systems.
Huang, Ruixing; Ma, Chengxue; Ma, Jun; Huangfu, Xiaoliu; He, Qiang.
Affiliation
  • Huang R; Key Laboratory of Eco-environments in the Three Gorges Reservoir Region, Ministry of Education, College of Environmental and Ecology, Chongqing University, Chongqing 400044, China; State Key Laboratory of Urban Water Resource and Environment, School of Municipal and Environmental Engineering, Harbin
  • Ma C; Key Laboratory of Eco-environments in the Three Gorges Reservoir Region, Ministry of Education, College of Environmental and Ecology, Chongqing University, Chongqing 400044, China; State Key Laboratory of Urban Water Resource and Environment, School of Municipal and Environmental Engineering, Harbin
  • Ma J; State Key Laboratory of Urban Water Resource and Environment, School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, China.
  • Huangfu X; Key Laboratory of Eco-environments in the Three Gorges Reservoir Region, Ministry of Education, College of Environmental and Ecology, Chongqing University, Chongqing 400044, China. Electronic address: hfxl-hit@163.com.
  • He Q; Key Laboratory of Eco-environments in the Three Gorges Reservoir Region, Ministry of Education, College of Environmental and Ecology, Chongqing University, Chongqing 400044, China.
Water Res ; 205: 117666, 2021 Oct 15.
Article in En | MEDLINE | ID: mdl-34560616
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Groundwater / Water Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Water Res Year: 2021 Document type: Article Country of publication: Reino Unido
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Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Groundwater / Water Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Water Res Year: 2021 Document type: Article Country of publication: Reino Unido