Abstract
Amount of water inflow into a dam reservoir is estimated using information of time-varying of the hydrostatic water level. But, it is difficult to know the hydrostatic water level. Because, in data of water level, a signal of the hydrostatic water level is disturbed by the noise that is caused by water surface fluctuations. These noises cause too much estimation error of water inflow. In this study, the hydrostatic water level is attempted to estimate using the synchronous addition/subtraction processing (SAS). It is confirmed that the SAS could estimate water inflow which restrain influence of the noise. And in this study, estimation performance of the SAS is discussed. It is confirmed that the SAS had suitable performance as an inflow estimation method for water level data which have unknown information about noise.
