Author(s): Shoichi Kurosawa; So Kazama
Linked Author(s): So Kazama
Keywords: Snowmelt flood prediction Snow depth observation Snow distribution Deep neural networks
Abstract: In recent years, more accurate flood forecasting information has been needed to contribute to flood prevention activities and damage minimization in the event of flood disasters that exceed the planned scale. However, many of the flood forecasting systems used in Japan are designed to target summer floods caused by rainfall and cannot be applied to snowmelt floods in early spring. For this reason, research is being conducted to enable year-round flood forecasting, including snowmelt floods. In this paper, we apply AI technology to snow distribution estimation to ensure the accuracy of snowmelt flood forecasting and demonstrate its practicality through verification results.
Year: 2025