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Comparison of three grain size measuring methods applied to coarse-grained gravel deposits

Authors :
Garefalakis, Philippos
do Prado, Ariel Henrique
Mair, David
Douillet, Guilhem Amin
Nyffenegger, Franziska
Schlunegger, Fritz
Source :
Garefalakis, Philippos; do Prado, Ariel Henrique; Mair, David; Douillet, Guilhem Amin; Nyffenegger, Franziska; Schlunegger, Fritz (2023). Comparison of three grain size measuring methods applied to coarse-grained gravel deposits. Sedimentary geology, 446, p. 106340. Elsevier 10.1016/j.sedgeo.2023.106340
Publication Year :
2023
Publisher :
Elsevier BV, 2023.

Abstract

The size of grains in gravel and conglomerate deposits is most easily measured on photos taken from related outcrops. However, the occlusion of grains by the sedimentary matrix or other grains, and possible distortions of photos, could introduce a bias in such datasets. Here, we explore the uncertainties associated with datasets where the lengths of the grainswere measured on photos. To this end, we analysed coarse-grained (>2mm) fluvial material from a gravel pit (Bern, Switzerland). We compared grain size data collected from digital photos with the results where the same material was measured with a calliper and mechanically sieved. Our analyses reveal that the percentile values such as the D16, D50 and D84 of datasets where the grains' longest visible axes were measured on digital photos best correlate to the corresponding percentile values of data collected through sieving. We also find that the longest visible axes of grains measured on digital photos are c. 17 % smaller than the lengths of the intermediate b-axes of grains measured with a calliper. We therefore suggest to measure the longest visible axes on digital photos, and to correct the data by a corresponding factor such as +17 % for the target grain size percentiles.

Details

ISSN :
00370738
Volume :
446
Database :
OpenAIRE
Journal :
Sedimentary Geology
Accession number :
edsair.doi.dedup.....c4aed01690582688f5916254a6632e0a
Full Text :
https://doi.org/10.1016/j.sedgeo.2023.106340