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http://dx.doi.org/10.17663/JWR.2022.24.1.25

Analysis of Water Quality Impact of Hapcheon Dam Reservoir According to Changes in Watershed Runoff Using ANN  

Jo, Bu Geon (Dept. of Civil & Environmental Engineering, Myongji University)
Jung, Woo Suk (Korea Rural Community Corporation Rural Research Institue)
Lee, Jong Moon (Division of Watershed and total load Management research, National Institute of Environmental Research)
Kim, Young Do (Dept. of Civil & Environmental Engineering, Myongji University)
Publication Information
Journal of Wetlands Research / v.24, no.1, 2022 , pp. 25-37 More about this Journal
Abstract
Climate change is becoming increasingly unpredictable. This has led to changes in various systems such as ecosystems, human life and hydrological cycles. In particular, the recent unpredictable climate change frequently causes extreme droughts and torrential rains, resulting in complex water resources disasters that cause water pollution due to inundation and retirement rather than primary disasters. SWAT was used as a watershed model to analyze future runoff and pollutant loads. The climate scenario analyzed the RCP4.5 climate scenario of the Meteorological Agency standard scenario (HadGEM3-RA) using the normal quantitative mapping method. Runoff and pollutant load analysis were performed by linkage simulation of climate scenario and watershed model. Finally, the results of application and verification of linkage model and analysis of future water quality change due to climate change were presented. In this study, we simulated climate change scenarios using artificial neural networks, analyzed changes in water temperature and turbidity, and compared the results of dams with artificial neural network results through W2 model, a reservoir water quality model. The results of this study suggest the possibility of applying the nonlinearity and simplicity of neural network model to Hapcheon dam water quality prediction using climate change.
Keywords
Climate change; Hapcheon Dam; W2; Artificial Neural Network;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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