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Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction

Fig 3

Monthly hydrological characteristics of the Yangtze River Basin at two stations.

(A) Monthly runoff series at the Hankou station, including training and testing datasets, linear trend, and identified flood months. (B) Monthly runoff series at the Luoshan station, including training and testing datasets, linear trend, and identified flood months. (C) Monthly variations in multi-year mean water level and flow rate at the Hankou station, with warning and defense thresholds indicated. (D) Monthly variations in multi-year mean water level and flow rate at the Luoshan station, with warning and defense thresholds indicated.

Fig 3

doi: https://doi.org/10.1371/journal.pone.0343063.g003