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Turbidity-controlled sampling for suspended sediment load estimationAuthor(s): Jack Lewis
Source: In: Bogen, J. Tharan Fergus and Des Walling (eds.), Erosion and Sediment Transport Measurement in Rivers: Technological and Methodological Advances (Proc. Oslo Workshop, 19-20 June 2002). IAHS Publ. 283: 13-20.
Publication Series: Miscellaneous Publication
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DescriptionAbstract - Automated data collection is essential to effectively measure suspended sediment loads in storm events, particularly in small basins. Continuous turbidity measurements can be used, along with discharge, in an automated system that makes real-time sampling decisions to facilitate sediment load estimation. The Turbidity Threshold Sampling method distributes sample collection over the range of rising and falling turbidity values and attempts to sample all significant turbidity episodes. A data logger activates a pumping sampler when specified turbidity conditions are met. The resulting set of samples can be used to accurately determine suspended sediment loads by establishing a relation between sediment concentration and turbidity for any sampled period with significant sediment transport. Relations between turbidity, concentration, and particle size are examined at five sites in northern California, USA. Despite the influence of particle size, turbidity is in all cases superior to flow as a surrogate for sediment concentration.
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CitationLewis, Jack. 2003. Turbidity-controlled sampling for suspended sediment load estimation. In: Bogen, J. Tharan Fergus and Des Walling (eds.), Erosion and Sediment Transport Measurement in Rivers: Technological and Methodological Advances (Proc. Oslo Workshop, 19-20 June 2002). IAHS Publ. 283: 13-20.
KeywordsPSW4351, particle size, regression, sampling, suspended sediment, turbidity
- Automatic real-time control of suspended sediment based upon high frequency in situ measurements of nephelometric turbidity
- Turbidity-controlled suspended sediment sampling for runoff-event load estimation
- Turbidity Threshold sampling in watershed research
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