Paper Title
Particle Size Effect for Evaluation of Acoustic Scattering by Particles in Water

The acoustic method for estimation particles content in water is a new technology and is based on sound waves spreading through the water. It has high potential but still difficulties and complexity remain in the acoustic algorithm.. In this study, the turbidity and acoustic backscattering signal (ABS) values were used with the aim of improving this method with regression models; Measurements were taken in a vertical sediment tower for two different sediment sizes (<50 μm and 50–100 μm) and concentrations (0.0–6.0 g L-1). In the results of the regression analyses, turbidity values had strong relationships with sediment concentration for both sediment size groups (R2=0.937 and 0.967). Although the ABS values had a reasonable R2 value (0.873) for the 50–100 μm group, the <50 μm group did not produce a significant R2 value with regression analyses. The results show that the regression models could be considered as an alternative method because it was applied successfully to estimate suspended sediment concentration using with turbidity and ABS under different particle size conditions. Keywords - Water quality, sediment, Acoustic algorithm, Particle size