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  • PHOTOSED  (1)
  • sediment transport modeling  (1)
  • spatio‐temporal erosion variability  (1)
  • 1
    Publication Date: 2021-07-01
    Description: In this study, we present a novel approach to measure fundamental processes of cohesive sediment erosion. The experimental setup consists of a laboratory erosion flume (SETEG) and a photogrammetric method to detect sediment erosion (PHOTOSED). Detailed data are presented for three erosion experiments, which were conducted with a natural non‐cohesive/cohesive sediment mixture at increasing sediment depths (4, 8, 16 cm). In each experiment, the sediment was exposed to a set of incrementally increasing shear stresses and the erosion was measured dynamically, pixel‐based, and approximate to the process scale given the resolution of PHOTOSED. This enables us to distinguish between (i) individual emerging erosion spots caused by surface erosion and (ii) large holes torn open by detached aggregate chunks. Moreover, interrelated processes were observed, such as (iii) propagation of the erosion in the longitudinal and lateral direction leading to merging of disconnected erosion areas and (iv) progressive vertical erosion of already affected areas. By complementing the (bulk) erosion volume profiles with additional quantitative variables, which contain spatial information (erosion area, specific deepening, number of disconnected erosion areas), conclusions on the erosion behaviour (and the dominant processes) can be drawn without requiring qualitative information (such as visual observations). In addition, we provide figures indicating the spatio‐temporal erosion variability and the (bulk) erosion rates for selected time periods. We evaluate the variability by statistical quantities and show that significant erosion is mainly confined to only a few events during temporal progression, but then considerably exceeds the time‐averaged median of the erosion (factors between 7.0 and 16.0). Further, we point to uncertainties in using (bulk) erosion rates to assess cohesive sediment erosion and particularly the underlying processes. As a whole, the results emphasise the need to measure cohesive sediment erosion with high spatio‐temporal resolution to obtain reliable and robust information. © 2020 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd
    Description: The highly dynamic erosion progress is investigated for three experiments, which were conducted with a natural non‐cohesive/cohesive sediment mixture, using a photogrammetric method to detect sediment erosion (PHOTOSED). Given the high spatio‐temporal resolution of the measurements, fundamental and interrelated erosion processes are identified and the spatio‐temporal erosion variability over the surface is evaluated.
    Description: Ministry of Science, Research and Arts of the federal state of Baden‐Württemberg
    Keywords: 551.3 ; PHOTOSED ; SETEG ; cohesive sediments ; non‐cohesive/cohesive sediment mixtures ; photogrammetric measurements ; spatio‐temporal erosion variability
    Type: article
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  • 2
    Publication Date: 2021-07-04
    Description: This study suggests a stochastic Bayesian approach for calibrating and validating morphodynamic sediment transport models and for quantifying parametric uncertainties in order to alleviate limitations of conventional (manual, deterministic) calibration procedures. The applicability of our method is shown for a large‐scale (11.0 km) and time‐demanding (9.14 hr for the period 2002–2013) 2‐D morphodynamic sediment transport model of the Lower River Salzach and for three most sensitive input parameters (critical Shields parameter, grain roughness, and grain size distribution). Since Bayesian methods require a significant number of simulation runs, this work proposes to construct a surrogate model, here with the arbitrary polynomial chaos technique. The surrogate model is constructed from a limited set of runs (n=20) of the full complex sediment transport model. Then, Monte Carlo‐based techniques for Bayesian calibration are used with the surrogate model (105 realizations in 4 hr). The results demonstrate that following Bayesian principles and iterative Bayesian updating of the surrogate model (10 iterations) enables to identify the most probable ranges of the three calibration parameters. Model verification based on the maximum a posteriori parameter combination indicates that the surrogate model accurately replicates the morphodynamic behavior of the sediment transport model for both calibration (RMSE = 0.31 m) and validation (RMSE = 0.42 m). Furthermore, it is shown that the surrogate model is highly effective in lowering the total computational time for Bayesian calibration, validation, and uncertainty analysis. As a whole, this provides more realistic calibration and validation of morphodynamic sediment transport models with quantified uncertainty in less time compared to conventional calibration procedures.
    Description: Key Points: We reduce a time‐demanding sediment transport model with a surrogate technique based on the arbitrary polynomial chaos expansion (aPC). Bayesian model calibration and validation in a fraction of computational time compared to conventional (manual, deterministic) methods. We achieve a more realistic calibration, a more successful validation, and valuable information in the form of uncertainty intervals.
    Description: German Research Foundation (DFG) http://dx.doi.org/10.13039/501100001659
    Keywords: 551 ; sediment transport modeling ; Lower River Salzach ; surrogate model ; arbitrary polynomial chaos expansion ; uncertainty analysis ; Bayesian updating
    Type: article
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