Continuous measurement of suspended sediment concentration: Technological advancement and future outlook

Kumar, Anant; Kumar, Arun

doi:10.1016/j.measurement.2015.08.013

Cited by 82 publications

(50 citation statements)

References 55 publications

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“…According to the Figure 2C and D, the SSC of the Conceição and Guaporé catchments was similar and the turbidity was greater in the Conceição. Despite the difference found in the particle size carried in suspension, it is unlikely that it affected the scattering of light emitted by the sensor (Rai & Kumar, 2015). Other interfering factors not accounted for in this study may have caused the difference found, for example, color and mineralogy of the soil from each catchment.…”

Section: Resultsmentioning

confidence: 73%

“…The relationship between turbidity and SSC depends on the different characteristics of suspended sediment, such as grain size (Merten et al, 2014), color, and mineralogy of the sediments (Rai & Kumar, 2015). The particle size in transport varies with the hydraulic characteristics of the flow, erosive processes, geomorphological and lithological conditions of the catchment, and presence of vegetation (Slattery & Burt, 1997;Lenzi & Marchi, 2000).…”

Section: Introductionmentioning

confidence: 99%

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Sampling strategies to estimate suspended sediment concentration for turbidimeter calibration

Dalbianco

Ramon

Barros

et al. 2017

Rev. bras. eng. agríc. ambient.

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The influx of sediments carried by rivers can be measured continuously using a turbidimeter through the indirect relationship between turbidity and suspended sediment concentration (SSC). However, this process is dependent on obtaining water samples with suspended sediments to calibrate the turbidimeter. Sampling can be carried out through different methods, resulting in errors and uncertainties in estimating the SSC. Four different possibilities for the composition of the calibration curve were tested in order to evaluate the effectiveness of the turbidimeter calibration for different sampling strategies. The study was conducted in 2012 and 2013 in two catchments in southern Brazil that had a strong sediment yield impact. The results indicate that sampling during rainfall events generate a significant and representative SSC for the turbidimeter calibration. The use of an integrating sampler for synthetic samples provides an effective calibration, but overestimates SSC compared to calibration from rainfall event sampling. The samples collected at fixed intervals - weekly and daily - generated an insufficient amount of data and are not representative of real sediment concentrations of the catchments.

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Section: Resultsmentioning

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Sampling strategies to estimate suspended sediment concentration for turbidimeter calibration

Dalbianco

Ramon

Barros

et al. 2017

Rev. bras. eng. agríc. ambient.

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“…Limitation of ADCP in observing different grain sizes of suspended sediment has been described previously by researcher (e.g., [5]). The ADCP instrument was unable to distinguish between large particle sizes and small particle sizes that accumulate in particular volume in this research, so the measurement using ADCP will be slightly lower in estimating the suspended sediment concentration [26].…”

Section: Comparison Between Adcp-based Ssc and Laboratorybased Sscmentioning

confidence: 90%

“…Moreover, this method is also relatively expensive and takes a long time of measurement process and sampling at all observation site, as well as optical method using laser in situ scattering and transmissometry [4]. To overcome this problem, the application of underwater acoustic technologies is used to quantify SSC, which can provide continuous and large coverage in greater detail of SSC data [5].…”

Section: Introductionmentioning

confidence: 99%

Quantification and Analysis of Suspended Sediments Concentration Using Mobile and Static Acoustic Doppler Current Profiler Instruments

Dwinovantyo

Manik

Prartono

et al. 2017

Advances in Acoustics and Vibration

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The application of Acoustic Doppler Current Profiler (ADCP) can be used not only for measuring ocean currents, but also for quantifying suspended sediment concentrations (SSC) from acoustic backscatter strength based on sonar principle. Suspended sediment has long been recognized as the largest sources of sea contaminant and must be considered as one of the important parameters in water quality of seawater. This research was to determine SSC from measured acoustic backscattered intensity of static and mobile ADCP. In this study, vertically mounted 400 kHz and 750 kHz static ADCP were deployed in Lembeh Strait, North Sulawesi. A mobile ADCP 307.2 kHz was also mounted on the boat and moved to the predefined cross-section, accordingly. The linear regression analysis of echo intensity measured by ADCP and by direct measurement methods showed that ADCP is a reliable method to measure SSC with correlation coefficient ( ) 0.92. Higher SSC was observed in low water compared to that in high water and near port area compared to those in observed areas. All of this analysis showed that the combination of static and mobile ADCP methods produces reasonably good spatial and temporal data of SSC.

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“…Commonly, a paucity of high-frequency and long-term SSC or other proxy data (e.g., turbidity) necessitate the assumption that suspended sediment yield per unit discharge is static (Gray et al, 2003;Jones, Stevens, Horsburgh, & Mesner, 2011). However, as these records continue to grow and more frequent measurements become possible with advanced technologies (Gray & Gartner, 2009;Rai & Kumar, 2015), there is a growing body of evidence that the yield of suspended sediment per unit discharge varies over a wide range of time scales, from individual storms (Bača, 2008;Gellis, 2013) to interannual timeframes (Herndon et al, 2015;Rodríguez-Blanco, Taboada-Castro, & Taboada-Castro, 2010;Warrick, 2015). These changes manifest as variations in the rating curve over time.…”

Section: Introductionmentioning

confidence: 99%

Time‐varying, nonlinear suspended sediment rating curves to characterize trends in water quality: An application to the Upper Hudson and Mohawk Rivers, New York

Ahn

2019

Hydrological Processes

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This work proposes two modelling frameworks for diagnosing temporal variations in nonlinear rating curves that describe suspended sediment–discharge relationships. A variant of the weighted regression on time, discharge, and season model is proposed and is compared against dynamic nonlinear modelling, a newly developed nonlinear time series filter based on sequential Monte Carlo sampling. Both approaches estimate a time series of rating curve parameters, with uncertainty, that can be used to diagnose variability in the sediment–discharge relationship over time. We evaluate the models with a variety of synthetic scenarios to highlight their ability to estimate signals of known rating curve change. Results reveal important bias‐variance trade‐offs unique to each approach, and in general, suggest that dynamic nonlinear modelling is better suited for rapid rating curve changes, whereas the weighted regression on time, discharge, and season variant more precisely estimates slow change. The techniques are then applied in two case studies in the Upper Hudson and Mohawk Rivers in New York. We conclude with a discussion of the implications of dynamic rating curves for the management of water quality in riverine and estuary systems.

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Continuous measurement of suspended sediment concentration: Technological advancement and future outlook

Cited by 82 publications

References 55 publications

Sampling strategies to estimate suspended sediment concentration for turbidimeter calibration

Sampling strategies to estimate suspended sediment concentration for turbidimeter calibration

Quantification and Analysis of Suspended Sediments Concentration Using Mobile and Static Acoustic Doppler Current Profiler Instruments

Time‐varying, nonlinear suspended sediment rating curves to characterize trends in water quality: An application to the Upper Hudson and Mohawk Rivers, New York

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