Impact of water infrastructure on streamflow prediction with the WRF-Hydro modeling system

The Weather Research and Forecasting Model Hydrological modeling system (WRF-Hydro) is a widely used land-hydrologic modelling framework, integrating various terrestrial and hydrological processes such as surface runoff, channel flow or lake/reservoir flow. As proper representation of water infrastructure such as dam and weir in such modeling system could play an important role, this study implements the water infrastructure data into the WRF-Hydro in Korea and examine how such implementation improves the model performance in capturing observed streamflow. To construct the water infrastructure dataset for WRF-Hydro, we utilize multiple data sources, including the Global Reservoirs and Dams (GRanD) and Korea Rural Community Corporation (KRC) datasets. We develop the water infrastructure datasets with different thresholds for the reservoir sizes and perform a series of numerical experiments with such datasets. With such simulations, we would understand how the water infrastructure influences the peak time and magnitude of streamflow in both dry and wet seasons and also identify the critical size of water infrastructure that is playing a crucial role in streamflow prediction.

Acknowledgements: This research was funded by the Korea Ministry of Environment as Climate Change Correspondence R&D Program (2018001310001). This work also supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 18AWMP-B083066-05) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2015R1C1A2A01054800).