Differentiation of layered silicates and biogenic silica in meadow podbel soils of the Central Amur Lowland View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-08-08

AUTHORS

N. P. Chizhikova, G. V. Kharitonova, L. A. Matyushkina, N. S. Konovalova, A. S. Stenina

ABSTRACT

Mineralogy of the fine component of meadow podbel soil in the Central Amur Lowland significantly varies depending on texture differentiation within the profile and clay categories with different binding strengths (water-peptized and aggregated clay). In the eluvial part of the profile, hydromicas are predominant, which are accompanied by kaolinite and mica-smectites with a low content of smectite layers; there are many finely dispersed quartz and feldspars; plagioclases are less abundant. The illuvial part of the profile is characterized by a high content of smectite minerals (mica-smectite and kaolinite-smectite interstratifications). Kaolinite, chlorite, and chlorite-vermiculite are also found. Fragmentary components pass into a peptized state: micas-hydromicas, kaolinite, finely dispersed quartz, feldspars, plagioclases, amphiboles, and diatom skeletons (mainly in the illuvial part of the profile). Aggregated clays are characterized by a high content of interstratifications with smectite layers. The mineral composition of two clay categories is strongly differentiated according to eluvial-illuvial type. The bulk chemical composition confirms the textural differentiation of the finely dispersed component within the profile. The chemistry of silty sand cutans on the faces of structural units in the illuvial part of the profile significantly differs from the chemistry of the enclosing horizon and is analogous to that of the eluvial part of the profile. The involvement of silica in the meadow podbel fractions with different binding strengths has been revealed. More... »

PAGES

885-896

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1064229313080024

DOI

http://dx.doi.org/10.1134/s1064229313080024

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038827491


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