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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• 作者：Ali Akbar Daya ; Peyman Afzal
• 关键词：Geochemical anomaly ; Fractal modeling ; C ; A ; S ; A ; Shorabhaji region
• 刊名：Arabian Journal of Geosciences
• 出版年：2015
• 出版时间：October 2015
• 年：2015
• 卷：8
• 期：10
• 页码：8263-8275
• 全文大小：12,155 KB
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• 作者单位：Ali Akbar Daya (1)
  Peyman Afzal (2) (3)
  
  1. Department of Mining Engineering, University of Sistan and Baluchestan, Zahedan, Iran
  2. Department of Mining Engineering, Faculty of Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
  3. Camborne School of Mines, University of Exeter, Penryn, UK
  
• 刊物类别：Earth and Environmental Science
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-7538

文摘

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. Keywords Geochemical anomaly Fractal modeling C-A S-A Shorabhaji region