Sustainable Soil Particle Size Characterization Through Image Analysis

A rapid, clean, low-energy, image-based method for determining the grain size distribution of soils by image analysis has been developed. The method is called Sediment Imaging or “Sedimaging”. It develops the grain size distribution for particles in the range between a U.S. Standard Sieve No. 10 (2....

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Bibliographic Details
Published in:Geotechnical and geological engineering 2013-12, Vol.31 (6), p.1647-1652
Main Authors: Ohm, Hyon-Sohk, Sahadewa, Andhika, Hryciw, Roman D., Zekkos, Dimitrios, Brant, Nicholas
Format: Article
Language:English
Subjects:
Airborne particulates
Civil Engineering
Clean energy
Coefficients
Data points
Digital imaging
Earth and Environmental Science
Earth Sciences
Geotechnical Engineering & Applied Earth Sciences
Geotechnics
Grain size
Grain size distribution
Hydrogeology
Image analysis
Image processing
Imaging techniques
Original Paper
Outdoor air quality
Particle size
Particle size distribution
Particulates
Power consumption
Sieves
Single lens reflex
Size distribution
Soil
Soil (material)
Soil analysis
Sustainability
Terrestrial Pollution
Vibrations
Waste Management/Waste Technology
Water consumption
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Summary:A rapid, clean, low-energy, image-based method for determining the grain size distribution of soils by image analysis has been developed. The method is called Sediment Imaging or “Sedimaging”. It develops the grain size distribution for particles in the range between a U.S. Standard Sieve No. 10 (2.0 mm openings) and U.S. Standard Sieve No. 200 (0.075 mm openings) range. The system utilizes a high resolution Nikon D7000 digital single lens reflex camera and image processing software developed specifically for interpreting the images and producing the resulting grain size distribution. The Sedimaging system is more sustainable and environmentally friendly than traditional sieving by virtue of its far lower power needs, less water consumption, longer equipment life and less maintenance. From the environmental and health perspectives, Sedimaging is less noisy, generates no vibrations and produces no airborne particulates. Sedimaging is also significantly faster than sieving and produces thousands of data points compared to typically 8 by sieving; it also automatically computes grain size distribution metrics such as the coefficients of uniformity and gradation.
ISSN:0960-3182
1573-1529
DOI:10.1007/s10706-013-9657-z