ENTROPY–INFORMATION ANALYSIS OF THE GRANULOMETRIC COMPOSITION OF SOILS

Abstract

Particle size distribution of soil along with drafting, moisture and organic matter content, determines the conditions of agricultural implements and development of plants. Despite of the importance of particle size distribution empirical distributional function of its factions currently has no analytical description, because it is still estimated by means of weight content of physical clay. Indicators of soilphysical properties depend not only on the content of physical clay but as well as the ratio of particle size fractions which define the structural features at the higher level of aggregation. Information entropy Shannon, as a measure of diversity and organization system represents the degree of its uncertainty and can be a considered as a degree of chaos and the extent of structural organization set of size distribution of soil particles.Results of the investigation show that the information entropy soil, which belong to the same functional group varies about H = 1,736-2,448 (the difference reaches 29%), the indicator of relative organization (harmony) R varies in a wider range - from 0,018 to 0.328, that is 18 times different. Such difference indicator value is too large to attribute these soils to one group according its particle size. Also its need to be admitted, that samples with the same clay content are striking differences Relative organization R. The method of information entropy analysis is suggested to reveal the significant disruption of soil particle size distribution concerning one functional group, therefore valid for classification clay content cannot be considered as accurate and informative. Entropy characteristics can be considered as adequate mathematical analogues of soil size distribution with the distribution of size fractions different from normal. They can be used to classify soils, to design processes cultivation and to design the workers of the agricultural implements