PROPSAL OF THE METHOD ESIMATED FOR EFFECTIVE VELOCITY BY THE ADCP OBSERVATION USING A NEW NOISE REMOVAL ALGORITHM

Abstract

 The purpose of this study is to propose a flow velocity value noise removal algorithm optimized for Riverboat, which is the most used in ADCP observation. Using the ensemble deviation flow velocity Δ𝑣𝑙, sensitivity analysis performed of the reflection intensity and correlation an optimal threshold was obtained by using the following method. In particular, when Δ𝑣𝑙 is 0.4 m/s, the effectiveness flow velocity value was higher than the previous method and the bias of the frequency distribution of the effective velocity values was small. The proposed algorithm increases the effective velocity, it can be used to clarify the uncertainty of ADCP observations and we could contribute to this. Since the proposed algorithm is optimized for Riverboat, it is possible to use for the rapid river in Japan.