Classifying diurnal changes of cyanobacterial blooms in Lake Taihu to identify hot patterns, seasons and hotspots based on hourly GOCI observations.

Wang, Siqi; Zhang, Xiang; Chen, Nengcheng; Wang, Weijia

Wang, Siqi; Zhang, Xiang; Chen, Nengcheng; Wang, Weijia.

Afiliação

Wang S; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, 430079, China.
Zhang X; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, 430079, China; National Engineering Research Center for Geographic Information System, School of Geography and Information Engineering, China University of Geosciences (Wuha
Chen N; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, 430079, China; National Engineering Research Center for Geographic Information System, School of Geography and Information Engineering, China University of Geosciences (Wuha
Wang W; Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.

J Environ Manage ; 310: 114782, 2022 May 15.

Article em En | MEDLINE | ID: mdl-35247688

Assuntos

Cianobactérias; Lagos; China; Monitoramento Ambiental; Eutrofização; Estações do Ano

Palavras-chave

Blooms management; Cyanobacteria scums; Diurnal changes; Environmental contributions; Eutrophic lake; GOCI

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lagos / Cianobactérias Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: J Environ Manage Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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