Quasi real-time water budget analysis for hydrological drought monitoring, assessment and prediction in a highly regulated river
- 1Corresponding Author, Sejong University, Engineering, Civil and Environmental Engineering, Seoul, Korea, Republic of (hkwon@sejong.ac.kr)
- 2Bayesianworks Research Institute, Seoul, Korea, Republic of (kjk2388@gmail.com)
- 3Sejong University, Engineering, Civil and Environmental Engineering, Seoul, Korea, Republic of (jgkim@sju.ac.kr)
- 4Korea Water Resources Corporation(K-Water), Daejeon, Korea, Republic of (aqua@kwater.or.kr)
With a highly regulated river and water distribution system, assessment of water availability under drought stress to meet the current (or future) demand and supply is becoming a challenging issue due to their complexities in the water distribution system. However, coarse spatial and temporal resolution in a general water budget analysis model may be viewed as a limitation to understanding the entire pathway for various combinations of water allocations, return flows, and dam operations. In these contexts, this study aims to develop a Daily-based quasi real-time Water Budget simulation model-Sejong University (DWB-SU) comprised of sub regions (or nodes) that are determined by water-related facilities and water permits. The proposed DWB-SU model is a flexible tool that could be applied to highly regulated river basins.
Acknowledgement
This research gratefully acknowledges the financial support provided by Korea Water Resources Corporation (K-water). This work was also supported by the National Research Foundation of Korea(NRF) funded by the Ministry of Education (No. 2019R1A2C2087944)
How to cite: Kwon, H.-H., Kim, J.-G., Kim, J.-G., and Jeon, G.-I.: Quasi real-time water budget analysis for hydrological drought monitoring, assessment and prediction in a highly regulated river, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21684, https://doi.org/10.5194/egusphere-egu2020-21684, 2020
