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Incorporating marine particulate carbon into machine learning for accurate estimation of coastal chlorophyll-a.
Niu, Jie; Feng, Ziyang; He, Mingxia; Xie, Mengyu; Lv, Yanqun; Zhang, Juan; Sun, Liwei; Liu, Qi; Hu, Bill X.
Affiliation
  • Niu J; College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China.
  • Feng Z; Research Center of Red Tides and Marine Biology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
  • He M; School of Water Resources and Environment, China University of Geosciences, Beijing 10083, China. Electronic address: mingxia_he@email.cugb.edu.cn.
  • Xie M; School of Environment, Jinan University, Guangzhou 510632, China.
  • Lv Y; School of Environment, Jinan University, Guangzhou 510632, China.
  • Zhang J; College of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China.
  • Sun L; Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China.
  • Liu Q; Research Center of Red Tides and Marine Biology, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
  • Hu BX; School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China.
Mar Pollut Bull ; 192: 115089, 2023 Jul.
Article in En | MEDLINE | ID: mdl-37267869
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carbon / Environmental Monitoring Type of study: Prognostic_studies Language: En Journal: Mar Pollut Bull Year: 2023 Document type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carbon / Environmental Monitoring Type of study: Prognostic_studies Language: En Journal: Mar Pollut Bull Year: 2023 Document type: Article Affiliation country: China