A MATLAB-based program for processing geochemical data using fractal/multifractal modeling
作者： Jian Wang , Renguang Zuo
DOI: 10.1007/S12145-015-0215-5
关键词: Cartography 、 Geographic information system 、 Inner mongolia 、 MATLAB 、 Singularity analysis 、 Soil test 、 Multifractal system 、 Mineralogy 、 Field (geography) 、 Fractal 、 Geology
摘要: In the field of applied geochemistry, it is important to obtain quantitative descriptions geochemical patterns and identify anomalies. this paper, we present a MATLAB-based program for processing data by means fractal/multifractal modeling. The procedure consists two functional parts. First, quantify spatial distribution characteristics using multifractal spectrum. Second, anomalies are identified various models. These models include concentration-area fractal model, spectrum-area singularity analysis. results can be visualized in MATLAB platform or saved further analysis, i.e., geographic information systems software. We demonstrate applicability dataset from soil samples taken Inner Mongolia, China. examine concentrations Ag these samples, show that obtained our highly correlated with known deposits region interest.
springer.com
sci-hub.se 参考文章(50)
Heinz-Otto Peitgen, Hartmut Jürgens, Dietmar Saupe, Chaos and Fractals Chaos and Fractals. ,(2004) , 10.1007/978-1-4757-4740-9
Qiuming Cheng, Yaguang Xu, Eric Grunsky, Integrated Spatial and Spectrum Method for Geochemical Anomaly Separation Natural resources research. ,vol. 9, pp. 43- 52 ,(2000) , 10.1023/A:1010109829861
Renguang Zuo, Qinglin Xia, Daojun Zhang, A comparison study of the C–A and S–A models with singularity analysis to identify geochemical anomalies in covered areas Applied Geochemistry. ,vol. 33, pp. 165- 172 ,(2013) , 10.1016/J.APGEOCHEM.2013.02.009
Emmanuel John M. Carranza, Mapping of anomalies in continuous and discrete fields of stream sediment geochemical landscapes Geochemistry-exploration Environment Analysis. ,vol. 10, pp. 171- 187 ,(2010) , 10.1144/1467-7873/09-223
Qiuming Cheng, Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China Ore Geology Reviews. ,vol. 32, pp. 314- 324 ,(2007) , 10.1016/J.OREGEOREV.2006.10.002
F. P. Agterberg, Multifractal Modeling of the Sizes and Grades of Giant and Supergiant Deposits International Geology Review. ,vol. 37, pp. 1- 8 ,(1995) , 10.1080/00206819509465388
Peyman Afzal, Ahmad Khakzad, Parviz Moarefvand, N. Rashidnejad Omran, Bijan Esfandiari, Younes Fadakar Alghalandis, Geochemical anomaly separation by multifractal modeling in Kahang (Gor Gor) porphyry system, Central Iran Journal of Geochemical Exploration. ,vol. 104, pp. 34- 46 ,(2010) , 10.1016/J.GEXPLO.2009.11.003
Clemens Reimann, Geochemical mapping: technique or art? Geochemistry-exploration Environment Analysis. ,vol. 5, pp. 359- 370 ,(2005) , 10.1144/1467-7873/03-051
Peyman Afzal, Younes Fadakar Alghalandis, Ahmad Khakzad, Parviz Moarefvand, Nematolah Rashidnejad Omran, Delineation of mineralization zones in porphyry Cu deposits by fractal concentration-volume modeling Journal of Geochemical Exploration. ,vol. 108, pp. 220- 232 ,(2011) , 10.1016/J.GEXPLO.2011.03.005
Haicheng Wang, Qiuming Cheng, Renguang Zuo, Spatial characteristics of geochemical patterns related to Fe mineralization in the southwestern Fujian province (China) Journal of Geochemical Exploration. ,vol. 148, pp. 259- 269 ,(2015) , 10.1016/J.GEXPLO.2014.10.010