ESTIMATION OF THE CHARACTERISTICS OF RIVER CHANNEL VARIATION BASED ON STABLE CHANNEL CONDITIONS AND INVESTIGATION OF THE EFFECTIVE PARAMETERS FOR ESTIMATIONG REVETMENT FAILURE RISK

In this study, a new experiment on bed variation was conducted to understand the process of stable river channel formation. In addition, effective parameters for estimating revetment failure risk were also investigated. The following were obtained from this study based on the experimental data and a...

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Veröffentlicht in:Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering Ser. B1 (Hydraulic Engineering), 2021, Vol.77(2), pp.I_397-I_402
Hauptverfasser: SHIGE-EDA, Mirei, AKIYAMA, Juichiro, ITOU, Syougo
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container_title Doboku Gakkai Ronbunshu. B1, Suikogaku = Journal of Japan Society of Civil Engineers. Ser. B1, Hydraulic Engineering
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creator SHIGE-EDA, Mirei
AKIYAMA, Juichiro
ITOU, Syougo
description In this study, a new experiment on bed variation was conducted to understand the process of stable river channel formation. In addition, effective parameters for estimating revetment failure risk were also investigated. The following were obtained from this study based on the experimental data and actual river data. (1) When a river channel moves toward a dynamic equilibrium state, it approaches the stable channel shape with time. When the river width is constrained, it approaches the stable channel while changing the slope. (2) The stable channel and current channel cross-section comparison are possible to understand characteristics of the river channel variation. (3) The value that indicates longitudinal stable condition and K-values are the effective parameters for estimating revetment failure risk.
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subjects effective parameter
Failure
maintenance and management
Parameter estimation
Parameters
revetment failure
Revetments
Risk
Rivers
Stable channels
stable river channel
Variation
title ESTIMATION OF THE CHARACTERISTICS OF RIVER CHANNEL VARIATION BASED ON STABLE CHANNEL CONDITIONS AND INVESTIGATION OF THE EFFECTIVE PARAMETERS FOR ESTIMATIONG REVETMENT FAILURE RISK
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