Study of Real-time Flood Forecast Technique Based on Parameter Sequential Updating Storage Function Model.　- An example of Flood Forecasting System for Shonaigawa River Office. -

Abstract

This paper introduces a flood forecasting system for Shonaigawa River Office, MLIT. Evaluation of Storage function model parameters each 9 rainfall pattern. Rainfall pattern decided from rainfall intencity and cumulative rainfall. The system can contribute to the improvement of the forecast result to small and medium flood, and It suited the rise of the rapid water level brought by a shower rainfall.