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A study on water quality parameters estimation for urban rivers based on ground hyperspectral remote sensing technology.
Hou, Yikai; Zhang, Anbing; Lv, Rulan; Zhao, Song; Ma, Jie; Zhang, Hai; Li, Ziang.
Afiliação
  • Hou Y; School of Water Resources and Electric Power, Hebei University of Engineering, Handan, China.
  • Zhang A; Hebei Water Ecological Civilization and Social Governance Research Center, Handan, China.
  • Lv R; Handan Polytechnic College, Handan, China. zhanganbing@hebeu.edu.cn.
  • Zhao S; Hebei Branch of Construction and Administration Bureau of South-to-North Water Diversion Middle Route Project, Handan, China.
  • Ma J; School of Water Resources and Electric Power, Hebei University of Engineering, Handan, China.
  • Zhang H; Hebei Branch of Construction and Administration Bureau of South-to-North Water Diversion Middle Route Project, Handan, China.
  • Li Z; School of Water Resources and Electric Power, Hebei University of Engineering, Handan, China.
Environ Sci Pollut Res Int ; 29(42): 63640-63654, 2022 Sep.
Article em En | MEDLINE | ID: mdl-35460477
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 12_ODS3_hazardous_contamination / 2_ODS3 Base de dados: MEDLINE Assunto principal: Poluentes da Água / Qualidade da Água Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Sci Pollut Res Int Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 12_ODS3_hazardous_contamination / 2_ODS3 Base de dados: MEDLINE Assunto principal: Poluentes da Água / Qualidade da Água Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Sci Pollut Res Int Ano de publicação: 2022 Tipo de documento: Article