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《Earth Science Frontiers》 2009-02
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Progress of multifractal filtering techniques and their applications in geochemical information extraction

Cheng Qiuming1,2,Zhang Shengyuan1,3,Zuo Renguang1,Chen Zhijun1,2,Xie Shuyun1,4,Xia Qinglin1,2,Xu Deyi1,5,Yao Lingqing11.State Key Laboratory of Geological Processes and Mineral Resources,China University of Geosciences,Wuhan 430074,Beijing 100083,China 2.Faculty of Earth Resources,China University of Geosciences(Wuhan),Wuhan 430074,China 3.Institute of Natural Resource and Environment Engineering,Shijiazhuang University of Economics,Shijiazhuang 050031,China 4.Faculty of Earth Sciences,China University of Geosciences(Wuhan),Wuhan 430074,China 5.Faculty of Economics and Management,China University of Geosciences(Wuhan),Wuhan 430074,China  
Delineation of geochemical anomalies is essential both in exploration geochemistry and environmental geochemistry. Since the first attempt of using the concentration-area (C-A) multifractal method for separating geochemical anomaly from background,it has become an innovative field of exploration and environmental geochemistry and various fractal filtering techniques have been developed for decomposing overlapping geochemical anomalies from complex backgrounds. This paper reviews the state of the art of the research on distribution patterns of geochemical elements and the approaches to identify geochemical anomalies,and demonstrates that the multifractal model provides a general distribution type for geochemical elements. The "concentration-area (C-A)" fractal model is a fundamental model for characterizing geochemical anomalies related to mineralization or environment pollution impact. It also provides a base for fractal filtering in various domains such as Fourier domain,Eigen domain and Wash domain. The fractal filtering methods developed in these domains have not only the general advantages of traditional statistical methods but also added attraction as they deal with anisotropic scaling and generalized self-similarity. From application point of view these methods can reduce the influence of the variable background and enhance the local anomalies. The methods have been commonly applied in delineation of target areas for mineral exploration and in recognition of pollution patterns for environmental assessment.
【Fund】: 国家杰出青年科学基金项目(40525009);; 国家自然科学基金重点项目(40638041);; 国家高技术研究发展计划“863”项目(2006AA06Z115);; 教育部创新团队基金项目(IRT0755);; 地质调查项目(121201063390110);; 云南锡业集团省校合作项目
【CateGory Index】: P632
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