Skip Nav Destination
GEOREF RECORD
Recognizing fossil strand lines from grain-size analysis
John Chappell
Recognizing fossil strand lines from grain-size analysis
Journal of Sedimentary Petrology (March 1967) 37 (1): 157-165
Recognizing fossil strand lines from grain-size analysis
Journal of Sedimentary Petrology (March 1967) 37 (1): 157-165
Index Terms/Descriptors
- clastic sediments
- fossil
- geomorphology
- marine features
- sand
- sedimentary petrology
- sediments
- shorelines
- size analysis
- skewness
- statistical analysis
- statistical measures
- recognition
- Strand lines
- discrimination
- Determination method
- sand grain-size analysis
- Grain-size distribution analysis
- beach and dune
Abstract
Moment summation is the most satisfactory method for computing skewness of distributions which are mixtures of two or more normal populations. Beach and dune sands are often characterized by skewed grain-size distributions because two or more normal populations are present. It is shown that the failure of some workers to discriminate between these two groups of sand, in terms of skewness, is partly a result of the method used to calculate this parameters. Measurements of New Zealand sands show beach sands to be characteristically negatively skewed, and dune sands to have positive skew. When the test was applied to Pleistocene strand deposits, it was found that the resolving power fell off as the degree of lithification increased.
ISSN: 0022-4472
Coden: JSEPAK
Serial Title: Journal of Sedimentary Petrology
Serial Volume: 37
Serial Issue: 1
Title: Recognizing fossil strand lines from grain-size analysis
Author(s): Chappell, John
Pages: 157-165
Published: 196703
Text Language: English
Publisher: Society of Economic Paleontologists and Mineralogists,
Tulsa, OK,
United States
Accession Number: 1967-016482
Categories: Sedimentary petrologyGeomorphology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from Bibliography and Index of North American Geology, U. S. Geological Survey, Reston, VA, United States
Update Code: 1967