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Satellite Tracking Reveals the Speed Up of the Lacustrine Algal Bloom Drift in Response to Climate Change.
Wang, Denghui; Li, Lei; Ning, Rongsheng; Shao, Yisheng; Li, Huixian; Shi, Xujie; Xue, Zhehua; Togbah, Charles Flomo; Yu, Shuili; Gao, Naiyun.
Afiliação
  • Wang D; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, People's Republic of China.
  • Li L; Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, People's Republic of China.
  • Ning R; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, People's Republic of China.
  • Shao Y; Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, People's Republic of China.
  • Li H; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, People's Republic of China.
  • Shi X; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, People's Republic of China.
  • Xue Z; China Academy of Urban Planning & Design, 5 Chegongzhuang West Road, Beijing 100044, People's Republic of China.
  • Togbah CF; School of Energy and Environment and State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong 999077, People's Republic of China.
  • Yu S; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, People's Republic of China.
  • Gao N; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, People's Republic of China.
Environ Sci Technol ; 58(26): 11727-11736, 2024 Jul 02.
Article em En | MEDLINE | ID: mdl-38836508
ABSTRACT
Satellite evidence indicates a global increase in lacustrine algal blooms. These blooms can drift with winds, resulting in significant changes of the algal biomass spatial distribution, which is crucial in bloom formation. However, the lack of long-term, large-scale observational data has limited our understanding of bloom drift. Here, we have developed a novel method to track the drift using multi-source remote sensing satellites and presented a comprehensive bloom drift data set for four typical lakes Lake Taihu (China, 2011-2021), Lake Chaohu (China, 2011-2020), Lake Dianchi (China, 2003-2021), and Lake Erie (North America, 2003-2021). We found that blooms closer to the water surface tend to drift faster. Higher temperatures and lower wind speeds bring blooms closer to the water surface, therefore accelerating drift and increasing biomass transportation. Under ongoing climate change, algal blooms are increasingly likely to spread over larger areas and accumulate in downwind waters, thereby posing a heightened risk to water resources. Our research greatly improves the understanding of algal bloom dynamics and provides new insights into the driving factors behind the global expansion of algal blooms. Our bloom-drift-tracking methodology also paves the way for the development of high-precision algal bloom prediction models.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudança Climática / Lagos / Eutrofização País/Região como assunto: Asia Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudança Climática / Lagos / Eutrofização País/Região como assunto: Asia Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article
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