首页> 外文期刊>Arabian journal of geosciences >A comparative study of concentration-area (C-A) and spectrum-area (S-A) fractal models for separating geochemical anomalies in Shorabhaji region, NW Iran
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A comparative study of concentration-area (C-A) and spectrum-area (S-A) fractal models for separating geochemical anomalies in Shorabhaji region, NW Iran

机译:伊朗西北部Shorabhaji地区集中区(C-A)和光谱区(S-A)分形模型用于分离地球化学异常的比较研究

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摘要

Delineating the geochemical anomalies from background is a fundamental task in geochemical exploration. Fractal models are practical for the purpose especially concentration-area (C-A) and spectrum-area (S-A) fractal models. The aim of this study is a comparative study of C-A and S-A fractal models for separating regional geochemical anomalies based on 107 stream sediment samples taken from the Shorabhaji region, NW Iran. Results derived via the fractal modeling indicated that the C-A and S-A models are capable of separating anomaly from background. There exists a good correlation between the suggested anomalous area by both of them and the geological particulars in the Shorabhaji area. The advantage of the C-A model is its simplicity and easy computational implementation. The S-A model can decompose better a mixed pattern into a varied geochemical background and anomalies. As a result, the S-A model is a powerful tool for separating of geochemical anomalies from background especially in the complex mixed patterns.
机译:从背景描述地球化学异常是地球化学勘探的基本任务。分形模型可用于此目的,特别是浓度区域(C-A)和光谱区域(S-A)分形模型。这项研究的目的是基于从伊朗西北部Shorabhaji地区采集的107个河流沉积物样本对C-A和S-A分形模型进行比较研究,以分离区域地球化学异常。通过分形建模得出的结果表明,C-A和S-A模型能够将异常与背景分离。两者建议的异常区域与Shorabhaji地区的地质特征之间都存在良好的相关性。 C-A模型的优势在于其简单性和易于计算的实现。 S-A模型可以更好地将混合模式分解为各种地球化学背景和异常。因此,S-A模型是一种将地球化学异常与背景分离的强大工具,尤其是在复杂的混合模式中。

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