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      Adequacy of laser diffraction for soil particle size analysis

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          Abstract

          Sedimentation has been a standard methodology for particle size analysis since the early 1900s. In recent years laser diffraction is beginning to replace sedimentation as the prefered technique in some industries, such as marine sediment analysis. However, for the particle size analysis of soils, which have a diverse range of both particle size and shape, laser diffraction still requires evaluation of its reliability. In this study, the sedimentation based sieve plummet balance method and the laser diffraction method were used to measure the particle size distribution of 22 soil samples representing four contrasting Australian Soil Orders. Initially, a precise wet riffling methodology was developed capable of obtaining representative samples within the recommended obscuration range for laser diffraction. It was found that repeatable results were obtained even if measurements were made at the extreme ends of the manufacturer’s recommended obscuration range. Results from statistical analysis suggested that the use of sample pretreatment to remove soil organic carbon (and possible traces of calcium-carbonate content) made minor differences to the laser diffraction particle size distributions compared to no pretreatment. These differences were found to be marginally statistically significant in the Podosol topsoil and Vertosol subsoil. There are well known reasons why sedimentation methods may be considered to ‘overestimate’ plate-like clay particles, while laser diffraction will ‘underestimate’ the proportion of clay particles. In this study we used Lin’s concordance correlation coefficient to determine the equivalence of laser diffraction and sieve plummet balance results. The results suggested that the laser diffraction equivalent thresholds corresponding to the sieve plummet balance cumulative particle sizes of < 2 μm, < 20 μm, and < 200 μm, were < 9 μm, < 26 μm, < 275 μm respectively. The many advantages of laser diffraction for soil particle size analysis, and the empirical results of this study, suggest that deployment of laser diffraction as a standard test procedure can provide reliable results, provided consistent sample preparation is used.

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          A concordance correlation coefficient to evaluate reproducibility.

          L Lin (1989)
          A new reproducibility index is developed and studied. This index is the correlation between the two readings that fall on the 45 degree line through the origin. It is simple to use and possesses desirable properties. The statistical properties of this estimate can be satisfactorily evaluated using an inverse hyperbolic tangent transformation. A Monte Carlo experiment with 5,000 runs was performed to confirm the estimate's validity. An application using actual data is given.
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            Permutation Methods: A Basis for Exact Inference

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              Comparison of laser grain size analysis with pipette and sieve analysis: a solution for the underestimation of the clay fraction

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                4 May 2017
                2017
                : 12
                : 5
                : e0176510
                Affiliations
                [001]Agriculture Research & Development Division, Department of Economic Development, Jobs, Transport & Resources, Tatura, Victoria, Australia
                Queen's University at Kingston, CANADA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: PF.

                • Data curation: PF.

                • Formal analysis: PF KC SC.

                • Funding acquisition: PF.

                • Investigation: PF CA NOH.

                • Methodology: PF CA NOH.

                • Project administration: PF.

                • Resources: PF.

                • Supervision: PF.

                • Writing – original draft: PF CA KC NOH SC.

                • Writing – review & editing: PF CA KC NOH SC.

                Article
                PONE-D-16-00525
                10.1371/journal.pone.0176510
                5417517
                28472043
                180e7018-4a35-473e-b104-880cd2dc5f3e
                © 2017 Fisher et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 6 January 2016
                : 12 April 2017
                Page count
                Figures: 5, Tables: 5, Pages: 20
                Funding
                The research was undertaken with funding from the Victorian Department of Economic Development, Jobs, Transport & Resources. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Engineering and Technology
                Equipment
                Optical Equipment
                Lasers
                Physical Sciences
                Materials Science
                Materials Physics
                Sedimentation
                Physical Sciences
                Physics
                Materials Physics
                Sedimentation
                Physical Sciences
                Physics
                Waves
                Diffraction
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Test Statistics
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Test Statistics
                Physical Sciences
                Chemistry
                Chemical Compounds
                Carbonates
                Physical Sciences
                Mathematics
                Probability Theory
                Statistical Distributions
                Distribution Curves
                Physical Sciences
                Chemistry
                Environmental Chemistry
                Soil Chemistry
                Ecology and Environmental Sciences
                Environmental Chemistry
                Soil Chemistry
                Ecology and Environmental Sciences
                Soil Science
                Soil Chemistry
                Earth Sciences
                Geology
                Petrology
                Sediment
                Earth Sciences
                Geology
                Sedimentary Geology
                Sediment
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

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