IAHR World Congress, 2019

Single-Point Acoustic Backscatter and Acousto-Optic Backscatter Sensors Mark Two Major Advances in Low-Cost Suspended Sediment Concentration Monitoring

Yogesh Agrawal Ole Mikkelsen
Engineering, Sequoia Scientific, Inc., USA

The most widely used type of point sensor for suspended sediment concentration measurements is of turbidity type. It’s short-coming is well-known: the turbidity sensor requires re-calibration whenever particle size in the environment changes. And since PSD is constantly changing in nature, no calibration can be trusted for a long time-series. This annoying inconvenience has been tolerated, given that there was no inexpensive alternative. Now, there are two.

The first sensor is of the acoustic type, employing 8MHz frequency. The LISST-ABS (Sequoia Scientific, Inc., Bellevue, WA, USA) has the advantage of nearly flat response (Volts/[mg/L]) in the silt-sand range of grain sizes, where turbidity loses sensitivity as 1/diameter. In river applications, the LISST-ABS has been demonstrated by USGS scientists, to faithfully reproduce a Rouse-like river column concentration profile, whereas turbidity failed to do so due to its decreasing sensitivity with grain size. This new LISST-ABS [ https://www.sequoiasci.com/article/lisst-abs-river-profiles-usgs/] is increasingly being favored by US government scientists.

Even as the LISST-ABS gains in monitoring, a new concept was born that combines turbidity measurement with acoustic backscatter. The sensor, LISST-AOBS combines the measurements with turbidity sensors and LISST-ABS to produce a nearly flat response (Volts/Concentration) over a broad particle size range. The combination amounts to a weighted sum of the two outputs, and can even be applied to historical data where the two sensors were recording simultaneously by a simple procedure. The end results is a low-cost general purpose sensor for sediment monitoring that eliminates the need for sensor calibration generally, barring only extreme cases (particles <> 400 microns).

In the presentation, we shall explain the principles and show field data collected from a river in Washington state, USA.

Yogesh Agrawal
Yogesh Agrawal








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