Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Multifractal Characteristics of Uranium Grade Distribution and Spatial Regularities in a Sandstone Type Uranium Deposit in Xinjiang, China

Version 1 : Received: 15 September 2023 / Approved: 18 September 2023 / Online: 19 September 2023 (13:30:31 CEST)

A peer-reviewed article of this Preprint also exists.

Cai, Q.; Tan, K.; Zhu, J.; Zeng, S. Multifractal Characteristics of Uranium Grade Distribution and Spatial Regularities in a Sandstone-Type Uranium Deposit in Xinjiang, China. Fractal Fract. 2023, 7, 704. Cai, Q.; Tan, K.; Zhu, J.; Zeng, S. Multifractal Characteristics of Uranium Grade Distribution and Spatial Regularities in a Sandstone-Type Uranium Deposit in Xinjiang, China. Fractal Fract. 2023, 7, 704.

Abstract

Based on the analysis of the spatial distribution of uranium grade in 348 boreholes of a uranium deposit in Xinjiang, the enrichment and spatial variation of uranium ore in two stopes of the deposit are discussed by using multifractal theory. The distribution characteristics of uranium ore of the two stopes are studied by multifractal parameters: the scaling exponent of mass , the scaling exponent of each sub-set and its corresponding fractal dimension , the fractal dimension D0 and information dimension D1. The differences of uranium distribution in two stopes can be well quantified by multifractal spectrum and multifractal parameters( , , ).10m×10m is defined as a fence unit, and the window sizes are respectively set, the singularity exponent of the two stopes are calculated by this element concentration-area(C-A) method. The results show that the multifractal theory and model can organically combine spatial structure information, scale change information and anisotropy information to obtain low-grade and weak mineral resources information, and can effectively distinguish complex and superimposed anomalies. This will provide a basis for local concentration and spatial variation rules of uranium distribution and the design of the parameters of leaching uranium mining well site.

Keywords

element concentration–area (C-A); multifractal; singularity exponent; uranium ore; uranium distribution characteristic

Subject

Engineering, Mining and Mineral Processing

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