Use of Underwater-Image Color to Determine Suspended-Sediment Concentrations Transported to Coastal Regions

The amount of suspended sediment transported from rivers to the ocean fluctuates over time, with a substantial increase occurring during storm events. This surge in poses numerous challenges coastal areas, highlighting importance accurately assessing load address these issues. In this study, we developed and experimentally verified novel method for suspended-sediment-discharge quantification estuaries coasts using underwater imaging. Specifically, red clay samples different particle sizes were introduced into separate tanks containing clean water. After adequate mixing, concentration, size, turbidity, water quality measured analyzed LISST-200x EXO2 Multiparameter Sonde sensors. To maintain constant lighting conditions, camera box was created filming. Based on experimental results, turbidity–concentration relationship formula derived. proposed regression equation revealed that between turbidity estimated suspended-sediment concentration significantly affected by prediction results underestimated under high-concentration conditions. Using blue, green, gray band values, multiple model estimating concentrations developed; its predictions better than those obtained relationship. Following efficiency improvements through additional approaches considering underwater-image filming conditions characteristics actual streams, estuaries, coasts, could be an easily usable technique sediment-discharge estimation, helping sediment-related issues regions.