Geochemical element anisotropy spatial quantitative analysis method

Abstract

The invention discloses a geochemical element anisotropy spatial quantitative analysis method. The method comprises the steps of selecting any sampling point in a research region, and defining an initial square window epsilon 1Xepsilon 1 by taking the point as a geometric center; extending the height of the initial square window to define another rectangular window epsilon 2Xepsilon 2; continuingto extend the height of the initial square window to finally form a series of windows with the sizes of epsilon 1Xepsilon 1, epsilon 1Xepsilon 2, ......, epsilon 1Xepsilon i; performing calculation toobtain a continuously increased length of the rectangular window and a slope of a double logarithmic projection fitting straight line of element average concentration in the window; obtaining a rectangular window group of multiple different directions and corresponding slopes, and according to the slope of the direction with a maximum slope absolute value, estimating a singularity exponent of thesampling point; and obtaining the singularity exponent of each sampling point in the research region, performing interpolation operation in a space of the research region according to the singularityexponent of each sampling point, and performing spatial quantitative graphical representation on anisotropy of an element enrichment law according to an interpolation operation result.

Description

Technical field [0001] The invention relates to the field of geochemical element analysis, in particular to a spatial quantitative analysis method of geochemical element anisotropy. Background technique [0002] The singularity index is used for spatial quantification through fractal and multifractal methods, and measures the massive accumulation of matter or the release of energy generated by matter in a relatively narrow time or space interval. [0003] Such as figure 1 As shown, the traditional estimation method of singularity index is obtained by the square window method. The estimation process is as follows: [0004] Take the sampling point data of geochemical river sediments as an example: [0005] Select any sampling point and define a series of square windows with this point as the geometric center. The window sizes are: ε 1 ×ε 1 , Ε 2 ×ε 2 ,..., ε i ×ε i . [0006] The average element concentration in each window is each ε i ×ε i The average value of the measured concentratio...

AI Technical Summary

Problems solved by technology

The above methods are based on the belief that the geochemical concentration is isotropic in the local vicinity. Therefore, the traditionally used singularity index based on a square window is ignored to a certain extent because the estimation process uses a square window for estimation. anisotropic local features

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