Comparison of Automated Image-Based Grain Sizing to Standard Pebble-Count Methods

Strom, Kyle; Kuhns, R. D.; Lucas, H. J.

doi:10.1061/(asce)hy.1943-7900.0000198

Cited by 30 publications

(26 citation statements)

References 27 publications

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“…Among the various techniques available to measure sediment grain distribution from digital photos [18,20,22,24,26], one based on the thresholding in grey scale and the segmentation of the resulting binary image was employed. The images analysis has been performed through the open source software ImageJ [34], following the procedure suggested in [24].…”

Section: Grain Size Analysismentioning

confidence: 99%

“…The images analysis has been performed through the open source software ImageJ [34], following the procedure suggested in [24]. The particle size analysis presented herewith is based on digital photos taken during the summer, when the studied river reach was in dry conditions.…”

Section: Grain Size Analysismentioning

confidence: 99%

“…Alternative solutions for investigating sediments in large areas are based on qualitative and quantitative on site analyses. Among the others, photographic sampling techniques have been developed in the last decade and demonstrated to be reliable and accurate [17][18][19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

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Characterization of a Flood Event through a Sediment Analysis: The Tescio River Case Study

Francesco

Biscarini

Manciola

2016

Water

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This paper presents the hydrological analysis and grain size characteristics of fluvial sediments in a river basin and their combination to characterize a flood event. The overall objective of the research is the development of a practical methodology based on experimental surveys to reconstruct the hydraulic history of ungauged river reaches on the basis of the modifications detected on the riverbed during the dry season. The grain size analysis of fluvial deposits usually requires great technical and economical efforts and traditional sieving based on physical sampling is not appropriate to adequately represent the spatial distribution of sediments in a wide area of a riverbed with a reasonable number of samples. The use of photographic sampling techniques, on the other hand, allows for the quick and effective determination of the grain size distribution, through the use of a digital camera and specific graphical algorithms in large river stretches. A photographic sampling is employed to characterize the riverbed in a 3 km ungauged reach of the Tescio River, a tributary of the Chiascio River, located in central Italy, representative of many rivers in the same geographical area. To this end, the particle size distribution is reconstructed through the analysis of digital pictures of the sediments taken on the riverbed in dry conditions. The sampling has been performed after a flood event of known duration, which allows for the identification of the removal of the armor in one section along the river reach under investigation. The volume and composition of the eroded sediments made it possible to calculate the average flow rate associated with the flood event which caused the erosion, by means of the sediment transport laws and the hydrological analysis of the river basin. A hydraulic analysis of the river stretch under investigation was employed to verify the validity of the proposed procedure.

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Section: Grain Size Analysismentioning

confidence: 99%

Section: Grain Size Analysismentioning

confidence: 99%

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Characterization of a Flood Event through a Sediment Analysis: The Tescio River Case Study

Francesco

Biscarini

Manciola

2016

Water

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“…Since this method does not disturb the bed surface, it is more suitable to check the bed composition changes at the intermediate equilibrium stages. There are, however, differences in the results of the two methods, so the AbN distribution is not directly comparable to the VbW distribution type [21]. In order to establish a conversion formula, some reference probes (e.g., the initial bed material, see Figure 2) were analysed by both methods.…”

Section: Introductionmentioning

confidence: 99%

“…Assuming a linear relationship, a linear function was fitted to the connecting AbN and VbW d 50 points. The following formula describes this relation between the AbN and VbW d 50 values, which is specific to this study: in the results of the two methods, so the AbN distribution is not directly comparable to the VbW distribution type [21]. In order to establish a conversion formula, some reference probes (e.g., the initial bed material, see Figure 2) were analysed by both methods.…”

Section: Introductionmentioning

confidence: 99%

3D CFD Modeling of Local Scouring, Bed Armoring and Sediment Deposition

Török

Baranya

Rüther

2017

Water

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3D numerical models are increasingly used to simulate flow, sediment transport and morphological changes of rivers. For the simulation of bedload transport, the numerical flow model is generally coupled with an empirical sediment transport model. The application range of the most widely used empirical models is, however, often limited in terms of hydraulic and sedimentological features and therefore the numerical model can hardly be applied to complex situations where different kinds of morphological processes take place at the same time, such as local scouring, bed armoring and aggradation of finer particles. As a possible solution method for this issue, we present the combined application of two bedload transport formulas that widens the application range and thus gives more appropriate simulation results. An example of this technique is presented in the paper by combining two bedload transport formulas. For model validation, the results of a laboratory experiment, where bed armoring, local scouring and local sediment deposition processes occurred, were used. The results showed that the combined application method can improve the reliability of the numerical simulations.

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