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- W2286921197 abstract "ABSTRACTBio-optical algorithms have been applied to monitor water quality in surface water systems. Empirical algorithms have been applied to estimate the chlorophyll-a (chl-a) concentrations. However, the performance of each algorithm severely degrades at concentrations notably lower than 10 mg m−3. This could be attributed to the chl-a specific absorption coefficient that became less consistent at low chl-a concentrations. Nonetheless, no effort has been made in previous studies to correct existing algorithms. In this study, we propose a correction approach to improve their performance for chl-a estimation in Yiam reservoir, Korea. Estimated chl-a concentrations of the algorithms improved after applying the correction process proposed in this study; Nash–Sutcliffe efficiency values increased from 53% to 65% and root mean square error decreased from 39% to 43%, respectively. Further research is needed to verify the correction approaches for different years or study sites." @default.
- W2286921197 created "2016-06-24" @default.
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- W2286921197 date "2016-02-18" @default.
- W2286921197 modified "2023-09-29" @default.
- W2286921197 title "Chlorophyll-<i>a</i>concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, Korea" @default.
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- W2286921197 doi "https://doi.org/10.1080/2150704x.2016.1142680" @default.
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