• Ultrasound Doppler technique captured two components of particle velocities. Concentration profile was extracted from the backscatter echo amplitude. Measurement results were analyzed with two-fluid model equations. Balanced stresses detected in top half current. The inner velocity structure and concentration opaque turbidity currents measured simultaneously by ultrasound profilers. Currents ...

Abstract Despite the importance of turbidity currents in environmental and resource geology, their flow conditions mechanisms are not well understood. This study proposes verifies a novel method for inverse analysis using deep learning neural network (DNN) with numerical flume experiment data sets. Numerical sets turbidites were generated forward model. Then, DNN model was trained to find funct...

An understanding of sediment transport processes and resultant concentration dynamics in estuaries is of great importance to engineering design awareness and the management of these environments. Predictive modelling approaches provide an opportunity to investigate and address potential system responses to nominated events, changes, or conditions of interest, often on high temporal and spatial ...

Our long-term scientific goal is to develop sound theoretical models for submarine sediment movement that can be used to predict the initiation, spatial development, and time duration of mud flows and turbidity currents. Of great interest are the characteristics of the sedimentary deposits that these flows generate, in particular their capability to develop bed forms and gullies by means of sed...