Besler, Helga and Ritter, Mathias (2010). A note on granulometric sand types and the Wentworth classification. Z. Geomorphol., 54 (4). S. 443 - 453. STUTTGART: GEBRUDER BORNTRAEGER. ISSN 0372-8854

Full text not available from this repository.

Abstract

Granulometric sand types are characterized by their typical grain-size frequency distributions plotted as the first differentials of the cumulative distributions at the phi-scale. In all deserts, past and present, there seem to exist only about a dozen granulometric sand types. They belong to a system of the granulometric evolution of aeolian sands and as such can provide valuable information on the history of sand seas and dunefields. In many papers, however, not the phi-scale but various modifications of the Wentworth classification are used. It is attempted to find rules for the transformation of the granulometric sand types into modified Wentworth classifications. The granular overlap between the corresponding sieving fractions was found to be most decisive. As a consequence, the granulometric sand types at the beginning and at the end (residuals) of the sequences of the granulometric evolution can well be identified. The history of older barchan dunes may also be studied comparably. Some major granulometric sand types, however, cannot be identified with certainty. The use of phi-gauged sieving sets is strongly recommended.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Besler, HelgaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ritter, MathiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-492152
DOI: 10.1127/0372-8854/2010/0054-0033
Journal or Publication Title: Z. Geomorphol.
Volume: 54
Number: 4
Page Range: S. 443 - 453
Date: 2010
Publisher: GEBRUDER BORNTRAEGER
Place of Publication: STUTTGART
ISSN: 0372-8854
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
Geography, Physical; Geosciences, MultidisciplinaryMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/49215

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item