A Simple Uav-Based Estimation of River Channel Cross-Sectional Shape and Its Applicability to River Flow Analysis

Key Points

• The research aims to propose a simple method for estimating river channel cross-sectional shapes using UAV technology.
• Utilized UAV-mounted laser technology to acquire surface terrain data.
• Estimated subsurface terrain based on Manning's equation and mass conservation principles under a rectangular cross-section assumption.
• Combined surface and subsurface data to derive the channel's cross-sectional shape.
• Focused on the Memuro River in the Tokachi River system for validation.
• Achieved generally good accuracy in estimating channel cross-sectional shapes.
• Confirmed varying depth estimation due to reference point settings.
• Applied the method in one-dimensional unsteady flow analysis, showing minimal impact of estimation error during flood peaks.
• Indicated potential for enhancing flood inundation analysis.