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Journal Abstract Search

140 related items for PubMed ID: 38728785

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  • 5. Predicting cyanobacterial biovolume from water temperature and conductivity using a Bayesian compound Poisson-Gamma model.
    Haakonsson S, Rodríguez MA, Carballo C, Pérez MDC, Arocena R, Bonilla S.
    Water Res; 2020 Jun 01; 176():115710. PubMed ID: 32251942
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  • 6. Acoustic scattering by gas-bearing cyanobacterium Microcystis: Modeling and in situ biomass assessment.
    Chu D, Ostrovsky I, Homma H.
    Sci Total Environ; 2021 Nov 10; 794():148573. PubMed ID: 34225151
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  • 9. [Analysis of Influencing Factors of Chlorophyll-a in Lake Taihu Based on Bayesian Network].
    Liu J, He YC, Deng JM, Tang XM.
    Huan Jing Ke Xue; 2023 May 08; 44(5):2592-2600. PubMed ID: 37177933
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  • 10. Rapid in situ assessment of high-resolution spatial and temporal distribution of cyanobacterial blooms using fishery echosounder.
    Godlewska M, Balk H, Izydorczyk K, Kaczkowski Z, Mankiewicz-Boczek J, Ye S.
    Sci Total Environ; 2023 Jan 20; 857(Pt 2):159492. PubMed ID: 36257442
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  • 11. [Analysis of the Spatiotemporal Distribution of Algal Blooms and Its Driving Factors in Chaohu Lake Based on Multi-source Datasets].
    Jin XL, Deng XL, Dai R, Xu QQ, Wu Y, Fan YX.
    Huan Jing Ke Xue; 2024 May 08; 45(5):2694-2706. PubMed ID: 38629533
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  • 14. The Special and General Mechanism of Cyanobacterial Harmful Algal Blooms.
    Cheng W, Hwang S, Guo Q, Qian L, Liu W, Yu Y, Liu L, Tao Y, Cao H.
    Microorganisms; 2023 Apr 10; 11(4):. PubMed ID: 37110410
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  • 15. Forecasting freshwater cyanobacterial harmful algal blooms for Sentinel-3 satellite resolved U.S. lakes and reservoirs.
    Schaeffer BA, Reynolds N, Ferriby H, Salls W, Smith D, Johnston JM, Myer M.
    J Environ Manage; 2024 Jan 01; 349():119518. PubMed ID: 37944321
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  • 16. Environmental drivers behind the exceptional increase in cyanobacterial blooms in Okavango Delta, Botswana.
    Veerman J, Mishra DR, Kumar A, Karidozo M.
    Harmful Algae; 2024 Aug 01; 137():102677. PubMed ID: 39003028
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  • 18. Investigating the sub-daily dynamics of cyanobacterial blooms by coupling high-frequency time-series remote sensing with hydro-ecological modelling.
    Li H, Qin C, He W, Sun F, Du P.
    J Environ Manage; 2022 Sep 01; 317():115311. PubMed ID: 35751230
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  • 19. Multispectral remote sensing of harmful algal blooms in Lake Champlain, USA.
    Isenstein EM, Trescott A, Park MH.
    Water Environ Res; 2014 Dec 01; 86(12):2271-8. PubMed ID: 25654929
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