Combining Optical and Acoustic Backscatter Measurements for Monitoring of Fine Suspended-Sediment Concentration Under Changes in Particle Size and Density

4Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Optical and acoustic backscatter measurements are routinely utilized to monitor suspended-sediment concentration (M); however, both measurements are affected by changes in particle size and density. In this study, optical and acoustic backscatter measurements are combined to a single parameter, the sediment composition index (SCI), to quantify M, mean particle radius by number (ao), the fraction of sediment <20 μm by diameter ((Figure presented.)), and particle bulk apparent density (ρbulk). Data are analyzed from Chesapeake Bay and five rivers of Queensland, Australia. SCI is utilized to predict the ratio of M to acoustic backscatter under changes in ao and ρbulk (R2 ranged from 0.6 to 0.98 across all data sets) and combined with acoustic backscatter to predict estimates of M that are independent of changes in ao and ρbulk. SCI is proportional to log10(ao) and (Figure presented.) for SCI from acoustic backscatter measured at 6 MHz (R2 = 0.8 and 0.74, respectively, p-value < 0.001, n = 133), while SCI(log10(ao)) and SCI((Figure presented.)) from acoustic backscatter measured at 2 MHz or lower are sensitive to changes in floc fractal dimension. Estimates of ρbulk from SCI are biased by changes in particle size (R2 is 0.1–0.5 across all datasets). This study builds upon recent work that derived SCI to quantify composition of sand and mud in suspension and demonstrates the utility of the approach in systems transporting flocculated silt and clay. Future research directions are discussed.

Cite

CITATION STYLE

APA

Livsey, D. N., Turner, R. D. R., & Grace, P. R. (2023). Combining Optical and Acoustic Backscatter Measurements for Monitoring of Fine Suspended-Sediment Concentration Under Changes in Particle Size and Density. Water Resources Research, 59(8). https://doi.org/10.1029/2022WR033982

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free