A hybrid approach to improvement of watershed water quality modeling by coupling process–based and deep learning models
Dae Seong Jeong,
Heewon Jeong,
Jin Hwi Kim
et al.
Abstract:Watershed water quality modeling to predict changing water quality is an essential tool for devising effective management strategies within watersheds. Process‐based models (PBMs) are typically used to simulate water quality modeling. In watershed modeling utilizing PBMs, it is crucial to effectively reflect the actual watershed conditions by appropriately setting the model parameters. However, parameter calibration and validation are time‐consuming processes with inherent uncertainties. Addressing these chall… Show more
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