| Session Details | |
| Section | HS - Hydrological Sciences |
| Session Title | Hydrologic Prediction and Measures Considering Extreme Climate Conditions |
| Main Convener | Prof. Kun-Yeun Han (Kyungpook National University, Korea, South) |
| Co-convener(s) | Prof. Jun-Haeng Heo (Yonsei University, Korea, South) Prof. Jaeeung Yi (Ajou University, Korea, South) Prof. Yeonsang Hwang (Arkansas State University, United States) |
| Session Description | New technology for modeling strategies for hydrologic predicition and measures will be presented for efficient mitigation planning considering climate change as follows. - Application of machine learning technique to flood and drought prediction - Basin-wide structural and nonstructural measures against extreme events - Extreme flood and drought prediction by sateliite images - Data-driven method and deterministic method for hydrologic prediciton - Urban flood analysis using radar data - Flood hazard map and flood risk map - Case studies |