Particle size scales and classification of sediment types based on particle size distributions: Review and recommended procedures

被引:291
作者
Blott, Simon J. [1 ]
Pye, Kenneth [1 ]
机构
[1] Kenneth Pye Associates Ltd, Crowthorne Enterprise Ctr, Crowthorne RG45 6AW, Berks, England
关键词
Classification; gravel; sand; mud; silt; clay; particle; size; GRAIN-SIZE; TEXTURAL CLASSIFICATION; CLASTIC SEDIMENTS; ROCKS;
D O I
10.1111/j.1365-3091.2012.01335.x
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
This paper provides a review of different particle size scales, size class terminology and particle size distribution (textural) classification schemes which are widely used in sedimentology, geomorphology, soil science, aquatic ecology and civil engineering. It is concluded that a revised system of size class nomenclature, based on the Udden (1898) and Wentworth (1922) schemes, provides the most logical and consistent framework for use with sediments and a wide range of other particulate materials. A refined scheme is proposed which has five first-order size classes (boulder, gravel, sand, silt and clay), each of which has five second-order subdivisions with limits defined at one phi intervals. The scheme is simple and intuitively easy to understand. The paper also provides a review of previous schemes that have been proposed to describe and classify sediments on the basis of the proportions of gravel, sand and mud, or sand, silt and clay using trigons (also termed ternary diagrams). Many of these schemes do not have a logical basis and provide limited or uneven resolution. New gravel, sand and mud and sand, silt and clay classification systems are proposed that are both more logical and provide greater discriminatory power than previous schemes; they are therefore more suitable for use in environmental and forensic investigations. A new Microsoft Excel (R) program, freely available to download from http://www.kpal.co.uk, allows rapid classification of sediments based on the proportions of gravel, sand and mud and sand, silt and clay proportions and graphical comparison of the data for different sample groups.
引用
收藏
页码:2071 / 2096
页数:26
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