应用U-统计方法与分形技术相结合描述矿产勘查地球化学异常:U-N和U-A模型

Pub Date : 2022-01-02 DOI:10.1080/25726838.2022.2041151
S. Ghannadpour, A. Hezarkhani
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引用次数: 1

摘要

本研究将U统计量和分形方法的算法相互结合,提出了一种新的组合方法——U值分形模型(U- n和U- a)。然后,利用该方法确定背景种群和异常种群的边界。结果表明:在相同条件下,U-N和U-A分形模型的第一裂缝边界比C-N和C-A分形模型更清晰、更准确;在U- n模型中,由于U方法算法的性质,背景与异常之间存在不连续作为精确阈值,而在U- a模型中,由于U值的均质化,不存在这种情况。该方法采用u统计量法确定背景与异常之间的准确阈值,并与分形方法相结合,在每个种群中,比浓度分形模型更准确、更简单地识别出子种群。
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Delineation of geochemical anomalies for mineral exploration using combining U-statistic method and fractal technique: U-N and U-A models
ABSTRACT In this study, by using the algorithm of the U-statistic and fractal methods and combining them with each other, a new combined method as U values fractal model (U-N and U-A) is introduced. Then, the proposed method is employed to determine the boundaries of background and anomalous populations. Results show that in U-N and U-A fractal models, the first fracture boundary is much clearer and more accurate than previous fractal models (C-N and C-A) in the same condition. In U-N model, due to the nature of the U method algorithm, there is a discontinuity as exact threshold between background and anomaly that in U-A model, this does not exist due to the homogenization of U values. In this method, the exact threshold between background and anomaly is determined by U-statistic method and by its combination with the fractal method, in each population, sub-populations are identified more accurately and simply than concentration fractal model.
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