Size Ratio of Fluvial Grains’ Intermediate Axes Assessed by Image Processing and Square-Hole Sieving

The comparability of grain sizes emerging from different methods are discussed, including image-based grain-size analysis. Waterworked gravel-bed surfaces from laboratory and field experiments are analyzed in detail. Grain sizes estimated using freely available object-detection software are compared with grains measured with calipers by hand. On the basis of laboratory and field data, the pebble dimensions determined by square-hole sieving are demonstrated to underestimate real pebble dimensions by a factor of 0.83–0.86, and pebble dimensions derived from images underestimate the pebble-count measurements by a similar amount. Thus, for the present extensive data set, the software-detected grain sizes can be directly compared with grain sizes gained by square-hole sieving, as they are of the same order of magnitude. These results support future wide-spread use of image-based sieving for grain-size distribution analyses for both hydraulic research and engineering.


Published in:
Journal of Hydraulic Engineering -New York-, 143, 6, 06017005-1 - 06017005-6
Year:
2017
Publisher:
American Society of Civil Engineers
ISSN:
0733-9429
Keywords:
Note:
[1146]
Laboratories:




 Record created 2017-05-31, last modified 2018-09-13


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