Article ; Online: Improved data assimilation for algal bloom dynamics simulation in the Three Gorges Reservoir using particle filter.
The Science of the total environment
2024 Volume 926, Page(s) 172009
Abstract: Algal blooms have been increasingly prevalent in recent years, especially in lakes and reservoirs; their accurate prediction is essential for preserving water quality. In this study, the observed chlorophyll a (chl-a) levels were assimilated into the ... ...
Abstract | Algal blooms have been increasingly prevalent in recent years, especially in lakes and reservoirs; their accurate prediction is essential for preserving water quality. In this study, the observed chlorophyll a (chl-a) levels were assimilated into the Environmental Fluid Dynamics Code (EFDC) of algal bloom dynamics by using a particle filter (PF), and the state variables of water quality and model parameters were simultaneously updated to achieve enhanced algal bloom predictive performance. The developed data assimilation system for algal blooms was applied to Xiangxi Bay (XXB) in the Three Gorges Reservoir (TGR). The results show that the ensemble mean accuracy and reliability of the confidence intervals of the predicted state variables, including chl-a and indirectly updated phosphate (PO |
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MeSH term(s) | Chlorophyll A ; Reproducibility of Results ; Rivers ; Eutrophication ; Water Quality ; China ; Environmental Monitoring |
Chemical Substances | Chlorophyll A (YF5Q9EJC8Y) |
Language | English |
Publishing date | 2024-03-26 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 121506-1 |
ISSN | 1879-1026 ; 0048-9697 |
ISSN (online) | 1879-1026 |
ISSN | 0048-9697 |
DOI | 10.1016/j.scitotenv.2024.172009 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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