2010Unpublished venueRequires access

Computing time-series suspended-sediment concentrations and loads from in-stream turbidity-sensor and streamflow data

Patrick P. Rasmussen, John R. Gray, G.D. Glysson, Andrew C. Ziegler

Open publisher page 1 citations

Abstract

Over the last decade, use of a method for computing suspended-sediment concentration and loads using turbidity sensors—primarily nephelometry, but also optical backscatter—has become more prevalent. Because the in-situ turbidity sensor is capable of measuring turbidity instantaneously, a turbidity time series can be recorded and related directly to time-varying suspended-sediment concentrations. Depending on the suspended-sediment characteristics of the measurement site, this method can be more reliable and, in many cases, a more accurate means for computing suspended-sediment concentrations and loads than traditional computation methods using streamflow.

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What this paper is about

Over the last decade, use of a method for computing suspended-sediment concentration and loads using turbidity sensors—primarily nephelometry, but also optical backscatter—has become more prevalent. Because the in-situ turbidity sensor is capable of measuring turbidity instantaneously, a turbidity time series can be recorded and related directly to time-varying suspended-sediment concentrations. Depending on the suspended-sediment characteristics of the measurement site, this method can be more reliable and, in many cases, a more accurate means for computing suspended-sediment concentrations and loads than traditional computation methods using streamflow.

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Available abstract

Over the last decade, use of a method for computing suspended-sediment concentration and loads using turbidity sensors—primarily nephelometry, but also optical backscatter—has become more prevalent. Because the in-situ turbidity sensor is capable of measuring turbidity instantaneously, a turbidity time series can be recorded and related directly to time-varying suspended-sediment concentrations. Depending on the suspended-sediment characteristics of the measurement site, this method can be more reliable and, in many cases, a more accurate means for computing suspended-sediment concentrations and loads than traditional computation methods using streamflow.

Key concepts: Turbidity, Sediment, Streamflow, Environmental science, Hydrology (agriculture), Turbidite, Remote sensing, Geology

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