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