Technical Papers
Mar 24, 2012

Conversions of Surface Grain-Size Samples Collected and Recorded Using Different Procedures

Publication: Journal of Hydraulic Engineering
Volume 138, Issue 10

Abstract

Information about the grain-size distribution of the surface layer of sediment exposed on riverbeds is often critical in studies of fluvial hydraulics, geomorphology, and ecology. A variety of sampling and analysis techniques are in common usage that produce grain-size distributions that are not directly comparable. This paper seeks to explore the appropriate conversions between different types of surface grain-size sampling methods. This is particularly timely in the light of increasingly widespread use of automatic and semiautomatic image-based measurement methods, the comparability of which with conventional measurement methods is relatively poorly constrained. For conversions between area-by-number (paint-and-pick) and grid-by-number (pebble-count) samples, the empirically derived conversion factor (±2.2) was found to be greater than that predicted by the Kellerhals and Bray model (±2), but the errors associated with using the value predicted by the model were small (3.8% in mm). For conversions between areal samples recorded by count and weight, the empirically derived conversion factor was approximately ±2.9, but the use of the value predicted by the Kellerhals and Bray model (±3) resulted in only small errors (5.2% in mm). Similarly, for conversions between image-based grain-size distributions recorded in area-by-number and grid-by number form, the emipirically derived conversion factor was ±1.9, but using the model value of ±2 resulted in only small errors (4.1% in mm). Although these results are specific to the data sets analyzed, the variety of sedimentary conditions included gives the authors of this study confidence that the results are representative.

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Acknowledgments

The collaborative work on which this paper is based was facilitated by a travel grant to D. J. G. from Loughborough University. Fieldwork was funded by grants from The Leverhulme Trust, Loughborough University, Université de Lyon. Technical assistance was provided by Mark Szegner, Barry Kenny, Simon Dufour, and various graduate students at the University of British Columbia. The paper has been significantly clarified as a result of comments from the editor and two anonymous referees.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 138Issue 10October 2012
Pages: 839 - 849

History

Received: Jun 2, 2009
Accepted: Mar 22, 2012
Published online: Mar 24, 2012
Published in print: Oct 1, 2012

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Authors

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David J. Graham [email protected]
Lecturer in Physical Geography, Polar and Alpine Research Centre, Dept. of Geography, Loughborough Univ., Loughborough, Leicestershire, LE11 3TU, UK (corresponding author). E-mail: [email protected]
Anne-Julia Rollet
Assistant Professor, Université Caen Basse Normandie, Geophen—CNRS, UMR 6554, France.
Stephen P. Rice
Reader in River Science, Centre for Hydrological and Ecosystem Science, Dept. of Geography, Loughborough Univ., Loughborough, Leicestershire, LE11 3TU, UK.
Hervé Piégay
Research Director, National Center of Scientific Research—CNRS, Univ. of Lyon, UMR 5600, Site ENS-lsh, Lyon, France.

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