2021 Volume 77 Issue 2 Pages I_1291-I_1296
The recently developed dual-polarization phased array weather radar (MP-PAWR) is capable of spatio-temporal high-density 3D observations and early detection of localized heavy rainfall compared to current weather radars. The purpose of this study is to develop a flood forecasting method that can contribute to evacuation and lead time during localized heavy rains by using the highly accurate observation information of MP-PAWR. In order to achieve this goal, we calculated the predicted rainfall based on the temporal variation of the vertically integrated rainfall, and converted the predicted rainfall into the river water level using a rainfall-runoff model. As a result, it is shown that the forecasting model can be applied to estimate the rise time, peak time, and peak water level 30 minutes before the actual peak water level occurs in the target rainfall event.
PROCEEDINGS OF HYDRAULIC ENGINEERING
