Analysis of bed morphological feature parameters and migration velocity based on AI image recognition
The characteristic parameters and migration velocity of bedforms are key factors influencing hydraulic re-sistance and the mechanism of sediment transport,which are of significant importance for analyzing riverbed evolu-tion trends,benthic habitat systems,and the impact of human activities.This paper utilizes AI Visional Founda-tion Model to obtain long-duration,high spatiotemporal resolution data on the dynamic development of bedforms from the sidewalls of flume.By adopting improved methods for quantifying bedform morphology and calculating mi-gration velocity,the bedform characteristic parameters and migration speeds under nine different conditions were extracted.The results indicate that under dynamic equilibrium states,significant random fluctuations still exist in bedform characteristic parameters and migration velocities,with migration speed showing higher volatility and varia-bility.The average migration velocity of the bedform increases exponentially with the intensification of sediment transport and bedload movement,while relative wave height and steepness follow a parabolic relationship with the intensity of sediment movement.Approximately 95％of the leeside face angles are concentrated between 10° and 30°,showing a linear relationship with steepness.Both bedform morphology and migration velocity exhibit a pro-nounced right-skewed distribution with tailing characteristics.Among them,wave height and wavelength fit the Birnbaum-Saunders distribution most closely,while other bedform morphology characteristics and migration veloci-ties follow a Gamma distribution.
bedformAI image recognitionmigration velocity of bedformsintensity of bedload movement
万方数据
维普
