Guidelines and Procedures for Computing Time-Series Suspended-Sediment Concentrations and Loads from In-Stream Turbidity-Sensor and Streamflow Data

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

doi:10.3133/tm3c4

Cited by 143 publications

(97 citation statements)

References 40 publications

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“…where e i is each residual value generated by subtracting the log of the observed C SS values from the log of the C SS rating curve (Q) estimates and n is the number of samples (Rasmussen et al, 2009). …”

Section: Suspended Sediment Loadmentioning

confidence: 99%

Effects of antecedent hydrologic conditions, time dependence, and climate cycles on the suspended sediment load of the Salinas River, California

Gray

Pasternack

Watson

et al. 2015

Journal of Hydrology

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Section: Suspended Sediment Loadmentioning

confidence: 99%

Effects of antecedent hydrologic conditions, time dependence, and climate cycles on the suspended sediment load of the Salinas River, California

Gray

Pasternack

Watson

et al. 2015

Journal of Hydrology

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“…At Mugu over longer time scales, combined impacts of infrequent storms and organic accretion yielded a slightly higher rate of 1-2 mm/year between 1995and 2009(Chan and Ambrose, unpublished, 2010. While likely site-specific and not necessarily applicable to Mugu and/or Seal Beach, in cordgrass-dominated portions of Tijuana Estuary, Cahoon et al (1996) found higher rates of accretion compared to pickleweed-dominated portions which are likely related to an increase in inundation frequency and duration in lower elevations.…”

Section: Future Stability Of Southern California Marshes In the Facementioning

confidence: 99%

“…Particle size, shape, composition, bubbles, biological fouling, and color can impact the amount of light scattered and the accuracy of the turbidity measurement (Sutherland et al 2000;Downing 2006). Microorganism activity can also increase uncertainty in the estimation of suspended sediment concentration (Rasmussen et al 2009). In this study, it is assumed that these impacts are negligible and did not impact the calibration.…”

Section: Continuous Tidal Water Fluxes and Suspended Sediment Concentmentioning

confidence: 99%

Balanced Sediment Fluxes in Southern California’s Mediterranean-Climate Zone Salt Marshes

Rosencranz

Ganju

Ambrose

et al. 2015

Estuaries and Coasts

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Salt marsh elevation and geomorphic stability depends on mineral sedimentation. Many Mediterraneanclimate salt marshes along southern California, USA coast import sediment during El Niño storm events, but sediment fluxes and mechanisms during dry weather are potentially important for marsh stability. We calculated tidal creek sediment fluxes within a highly modified, sediment-starved, 1.5-km 2 salt marsh (Seal Beach) and a less modified 1-km 2 marsh (Mugu) with fluvial sediment supply. We measured salt marsh plain suspended sediment concentration and vertical accretion using single stage samplers and marker horizons. At Seal Beach, a 2014 storm yielded 39 and 28 g/s mean sediment fluxes and imported 12,000 and 8800 kg in a western and eastern channel. Western channel storm imports offset 8700 kg exported during 2 months of dry weather, while eastern channel storm imports augmented 9200 kg imported during dry weather. During the storm at Mugu, suspended sediment concentrations on the marsh plain increased by a factor of four; accretion was 1-2 mm near creek levees. An exceptionally high tide sequence yielded 4.4 g/s mean sediment flux, importing 1700 kg: 20 % of Mugu's dry weather fluxes. Overall, low sediment fluxes were observed, suggesting that these salt marshes are geomorphically stable during dry weather conditions. Results suggest storms and high lunar tides may play large roles, importing sediment and maintaining dry weather sediment flux balances for southern California salt marshes. However, under future climate change and sea level rise scenarios, results suggest that balanced sediment fluxes lead to marsh elevational instability based on estimated mineral sediment deficits.

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“…Methods used for model development, quantifying uncertainty, and computation of loads and yields are described in detail in Rasmussen et al (2009) and Stone et al (2013aStone et al ( , 2013b. Data were analyzed using TIBCO Spotfire S+ 8.1 for Windows statistical software (TIBCO Software, Inc. 2008).…”

Section: Sediment Is a Primary Aquatic Impairment In The United Statementioning

confidence: 99%

“…Models were developed using simple linear regression analyses to relate discrete SSC samples to continuously measured streamflow and (or) turbidity (Helsel and Hirsch 2002;Rasmussen et al 2009). Four SSC models were developed for this study that used the following sets of available continuous data as explanatory variables: daily mean streamflow data from 1970 to 2012, daily mean streamflow data from 1999 to 2012, hourly turbidity data from 1999 to 2012, and hourly streamflow and hourly turbidity data from 1999 to 2012.…”

Section: Sediment Is a Primary Aquatic Impairment In The United Statementioning

confidence: 99%

Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications

Stone¹,

Juracek²,

Graham³

et al. 2015

Journal of Soil and Water Conservation

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Cheney Reservoir, constructed during 1962 to 1965, is the primary water supply for the city of Wichita, the largest city in Kansas. Sediment is an important concern for the reservoir as it degrades water quality and progressively decreases water storage capacity. Long-term data collection provided a unique opportunity to estimate the annual suspended sediment loads for the entire history of the reservoir. To quantify and characterize sediment loading to Cheney Reservoir, discrete suspended sediment samples and continuously measured streamflow data were collected from the North Fork Ninnescah River, the primary inflow to Cheney Reservoir, over a 48-year period. Continuous turbidity data also were collected over a 15-year period. These data were used together to develop simple linear regression models to compute continuous suspended sediment concentrations and loads from 1966 to 2013. The inclusion of turbidity as an additional explanatory variable with streamflow improved regression model diagnostics and increased the amount of variability in suspended sediment concentration explained by 14%. Using suspended sediment concentration from the streamflow-only model, the average annual suspended sediment load was 102,517 t (113,006 tn) and ranged from 4,826 t (5,320 tn) in 1966 to 967,569 t (1,066,562 tn) in 1979. The sediment load in 1979 accounted for about 20% of the total load over the 48-year history of the reservoir and 92% of the 1979 sediment load occurred in one 24-hour period during a 1% annual exceedance probability flow event (104-year flood). Nearly 60% of the reservoir sediment load during the 48-year study period occurred in 5 years with extreme flow events (9% to 1% annual exceedance probability, or 11-to 104-year flood events). A substantial portion (41%) of sediment was transported to the reservoir during five storm events spanning only eight 24-hour periods during 1966 to 2013. Annual suspended sediment load estimates based on streamflow were, on average, within ±20% of estimates based on streamflow and turbidity combined. Results demonstrate that large suspended sediment loads are delivered to Cheney Reservoir in very short time periods, indicating that sediment management plans eventually must address large, infrequent inflow events to be effective.

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Guidelines and Procedures for Computing Time-Series Suspended-Sediment Concentrations and Loads from In-Stream Turbidity-Sensor and Streamflow Data

Abstract: Guidelines and procedures for computing timeseries suspended-sediment concentrations and loads from in-stream turbidity-sensor and streamflow data: U.S. Geological Survey Techniques and Methods, book 3, chap. C4, 52 p.

Cited by 143 publications

References 40 publications

Effects of antecedent hydrologic conditions, time dependence, and climate cycles on the suspended sediment load of the Salinas River, California

Effects of antecedent hydrologic conditions, time dependence, and climate cycles on the suspended sediment load of the Salinas River, California

Balanced Sediment Fluxes in Southern California’s Mediterranean-Climate Zone Salt Marshes

Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications

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