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The Kalman filter (KF) is a mathematical power tool that is used for real-time forecasting. In this paper, we implement KF on Urban Storage Function (USF) model which is a nonlinear lumped model considering urban runoff process. USF model using KF is applied to a virtual catchment where rainfallrunoff characteristics are known. The model parameters are updated with 1-minute river discharge data by KF. The characteristics of real-time forecasting of the model using KF is discussed by comparison with the model using a particle filter. The results show that KF forecasted in a very short computation time with performs comparable to the particle filter.

Recently, a particle filter (PF) that is one of the non-liner and non-gaussian filter has been proved to be a powerful tool for real-time runoff forecasting. In this paper, we implement the PF on Urban Storage Function (USF) model which incorporates urban runoff process such as the outflow from combined sewer system and leaked from water distribution pipes. USF model using the PF is applied to a virtual catchment where rainfall-runoff characteristics are known. The model parameters are updated with 1-minute river discharge data by the PF. The results show that USF model using the PF forecasted the amount of river discharge accurately.

ABSTRACT; The concrete revetments are changed to hottest condition in the summer on the Tokyo Metropolitan.The peak of the temperature reaches 50 deg. on the concrete revetments. This paper is the study on the heat island effect of the river institutions, from the mitigation of gradual decrease to the heat of the riverside land on the Naka River by the revetment sprinkling and the revetment planting. The results are summarized into 2 points as follows. 1) The covering on the concrete revetments by the green this case, the surface temperature of the revetments decreases 2.3 deg.on the average of the experiment term.2) The sprinkling on the concrete revetments by the pump-up of the stream this case, the surface temperature of the revetments decreases from 4 to 6 deg. on the under 1 hour.

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