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Assessment of surface water quality using a growing hierarchical self-organizing map: a case study of the Songhua River Basin, northeastern China, from 2011 to 2015.
Jiang, Mingcen; Wang, Yeyao; Yang, Qi; Meng, Fansheng; Yao, Zhipeng; Cheng, Peixuan.
Afiliação
  • Jiang M; Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), Beijing, 100083, People's Republic of China.
  • Wang Y; Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), Beijing, 100083, People's Republic of China. yeyaowang@163.com.
  • Yang Q; China National Environmental Monitoring Center, Beijing, 100012, People's Republic of China. yeyaowang@163.com.
  • Meng F; Beijing Key Laboratory of Water Resources & Environmental Engineering, China University of Geosciences (Beijing), Beijing, 100083, People's Republic of China.
  • Yao Z; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, People's Republic of China.
  • Cheng P; China National Environmental Monitoring Center, Beijing, 100012, People's Republic of China.
Environ Monit Assess ; 190(4): 260, 2018 Mar 30.
Article em En | MEDLINE | ID: mdl-29603019
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Monitoramento Ambiental / Rios Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Monitoramento Ambiental / Rios Idioma: En Ano de publicação: 2018 Tipo de documento: Article