Long-term prediction of algal chlorophyll based on empirical models and the machine learning approach in relation to trophic variation in Juam Reservoir, Korea.

Conversely, if the data points are below the 1:1 line, it indicates a decreasing trend in the time series [ 53 , 54 ].

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However, if the data points accumulate in the region above the ideal line, it suggests the presence of an increasing trend in the time series.

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The differences in BOD and COD concentrations were almost insignificant in the reservoir.

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