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Research Article

Assessing suspended sediment fluxes with acoustic Doppler current profilers: case study from large rivers in Russia

, , & ORCID Icon
Pages 504-526 | Received 14 Feb 2022, Accepted 22 Aug 2022, Published online: 19 Sep 2022

Figures & data

Figure 1. Case studies of ADCP applications. a) General sketch map: blue circles – Arctic rivers (1 – Ob, 2 – Yenisey, 3 – Lena, 4 – Kolyma), yellow circle − 5 – Selenga River; red circle − 6 – Moscow River and its’ tributaries; b) local stream reaches maps: location of the cross-sections for the case studies 1–4 – orange lines; for the case study 5 – green dots; for the case study 6 – red dots.

Figure 1. Case studies of ADCP applications. a) General sketch map: blue circles – Arctic rivers (1 – Ob, 2 – Yenisey, 3 – Lena, 4 – Kolyma), yellow circle − 5 – Selenga River; red circle − 6 – Moscow River and its’ tributaries; b) local stream reaches maps: location of the cross-sections for the case studies 1–4 – orange lines; for the case study 5 – green dots; for the case study 6 – red dots.

Figure 1. (continued).

Figure 1. (continued).

Table 1. Summary of hydraulic and sediment measurements of the studied rivers used in this study.

Figure 2. Reference transformation illustrated for the Ob River cross-section in Salekhard (measured on 05.07.19): top panel – backscateter intensity; bottom panel – stream velocity.

Figure 2. Reference transformation illustrated for the Ob River cross-section in Salekhard (measured on 05.07.19): top panel – backscateter intensity; bottom panel – stream velocity.

Figure 3. Flowchart of the data processing. Explanations are given in the text.

Figure 3. Flowchart of the data processing. Explanations are given in the text.

Figure 4. Plot of normalized depth (z) versus SSC divided by SSC near bottom (maximum depth concentration for each ensemble): A – the Ob River, B – the Yenisey River (Igarskaya braid is a branch of the Yenisei River near Igarka city).

Figure 4. Plot of normalized depth (z) versus SSC divided by SSC near bottom (maximum depth concentration for each ensemble): A – the Ob River, B – the Yenisey River (Igarskaya braid is a branch of the Yenisei River near Igarka city).

Figure 5. Distribution of the Rouse number (Ro) within river cross-sections by normalized depth (Equationeq. 15). Dots show individual ensembles, and lines represent linear approximation for each cross-section.

Figure 5. Distribution of the Rouse number (Ro) within river cross-sections by normalized depth (Equationeq. 15(15) distnorm=distc−distdistc(15) ). Dots show individual ensembles, and lines represent linear approximation for each cross-section.

Table 2. Statistical data for the Rouse number (Ro) versus normalized distance ().

Table 3. Comparison of suspended sediment load estimates: ADCP versus traditional point-wise sampling method.

Figure 6. The observed values of Ro and partitioning conditions of sediment transport R/(R+G) under various Rouse and hd50. Small rivers, h < 0.5 m – data from Guy, Simons, and Richardson (Citation1966) and Julien (Citation2010) and measurements at the Moskva River conducted within this study. Theoretical lines are from Einstein integral (Shah-Fairbank & Julien, Citation2015).

Figure 6. The observed values of Ro and partitioning conditions of sediment transport R/(R+G) under various Rouse and hd50. Small rivers, h < 0.5 m – data from Guy, Simons, and Richardson (Citation1966) and Julien (Citation2010) and measurements at the Moskva River conducted within this study. Theoretical lines are from Einstein integral (Shah-Fairbank & Julien, Citation2015).

Data availability statement

All data processed in this study was derived by authors field work by the ADCP owned by the Lomonosov Moscow State University. Authors consent that all datasets (including video recordings) are open and can be used for research and educational activities. The data that support the findings of this study are openly available in public repository and can be downloaded from https://doi.org/10.1080/20964471.2022.2116834.