| Institute of Geomechanics, Chinese Academy of Geological Sciences | Host |
| Citation: |
DENG Jun, ZHAN Mingguo, ZHOU Weijin, WU Songle, HUANG Ning, ZHANG Runqiu, XIE Shuyun. 2021. Quantitative prediction of mineral resources in typical gold deposits in Guangxi, China using a fuzzy weights of evidence method. Journal of Geomechanics, 27(3): 374-390. doi: 10.12090/j.issn.1006-6616.2021.27.03.034
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Quantitative prediction of mineral resources in typical gold deposits in Guangxi, China using a fuzzy weights of evidence method
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Abstract
Quantitative prediction of mineral resources based on multi-information fusion is the leading topic of resource potential prediction, in which the deep mining of different geological background information and geochemical data is the key problem and still challenging. In this study, we analyzed the spatial distribution characteristics of main metallogenic and associated elements such as Au, Ag, Mn, Cu, Pb, Zn, Sn and Sb in 60767 geochemical samples on the platforms like ArcGIS and GeoDAS, by summerzing the geological background information and metallogenic controlling factors of each tectonic unit in Guangxi. Based on the GeoDAS paltform, through IDW interpolation, S-A anomaly decomposition, principal component analysis and other technologies, the data from the layers with geochemical component element anomaly, gravity and aeromagnetic anomaly and the buffers at the intersection of magmatic rock and fault were used as the training points for the utilization of the fuzzy weights of evidence. A posteriori probability map was drawn up to delineate the favorable metallogenic areas for Carlin-type gold deposit and fracture zone altered gold deposit. This study is of great significance to the application of new metallogenic theories and evaluation techniques in the evaluation or zoning of mineral resources potential.
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References
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DENG Jun, ZHAN Mingguo, ZHOU Weijin, WU Songle, HUANG Ning, ZHANG Runqiu, XIE Shuyun. 2021. Quantitative prediction of mineral resources in typical gold deposits in Guangxi, China using a fuzzy weights of evidence method. Journal of Geomechanics, 27(3): 374-390. doi: 10.12090/j.issn.1006-6616.2021.27.03.034
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Figure 1.
Spatial distribution of Au contents and different types of gold deposits in the study area
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Figure 2.
Flowchart of mineral resources prediction in the gold deposits in the study area
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Figure 3.
Schematic diagram of the buffer zones of regional geological elements. (a) Mapping of magmatic rocks, faults and gold ores. (b) Buffer zones of faults. (c) Buffer zones of magmatic rocks. (d) Buffer zones at the intersection of magmatic rocks and faults.
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Figure 4.
Distribution map of two evidence layers. (a) Regional aeromagnetic data. (b) Gravity data.
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Figure 5.
Plot of relative importance of principal components based on variance vs. characteristic root
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Figure 6.
Score plots of principal components. (a) Score plot of PCA1. (b) Score plot of PCA3
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Figure 7.
Separation of anomalies from background based on S-A method. (a) Log-log diagram of S-A relationship of PCA1. (b)Log-log diagram of S-A relationship of PCA3
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Figure 8.
Schematic diagram of geochemical background field and anomaly field based on S-A method. (a) Distribution of PCA1 geochemical background field. (b) Distribution of PCA1 geochemical anomaly field
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Figure 9.
Schematic diagram of geochemical background field and anomaly field based on S-A method. (a) Distribution of PCA3 geochemical background field. (b) Distribution of PCA3 geochemical anomaly field
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Figure 10.
V-T diagram of membership function of Bouguer gravity anomaly layer and selection of fuzzy evidence weights (red points indicate points closely related to mineralization, blue points indicate points not closely related to mineralization)
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Figure 11.
Posterior probability map of Au and target areas for gold deposits delineated by the fuzzy weights of evidence method. (a) Carlin-type gold deposits predicted by PCA1 background and anomaly decomposition. (b) Altered type gold deposits predicted by PCA3 background and anomaly decomposition I-Caledonian geosynclinal fold belt in Central Guangxi (I1-Northern Guangxi uplift; I2-Liuzhou depression; I3-Northeast Guangxi transitional zone; I4-Dayaoshan uplift; I5-Yunkai uplift); II-Hercynian geosynclinal fold belt in southern Guangxi; III-Indosinian geosynclinal fold in Western Guangxi (III1-Duyangshan uplift; III2-Youjiang depression; III3-Xidamingshan uplift; III4-Shiwandashan depression); 1-Sipu fault, 2-Pingpeiling fault; 3-Sanjiang-rong′an fault; 4-Shoucheng fault; 5-Longsheng-Yongfu fault; 6-Ziyuan fault; 7-Luchuan-Cenxi fault; 8-Bobai-Wuzhou fault; 9-Lingshan-Tengxian fault; 10-Dongzhong-Xiaodong fault zone; 11-Gaoping-Xinhei fault; 12-Pingxiang-Dali fault zone; 13-Lipu fault; 14-Xialei-Lingma fault; 15-Napo fault zone; 16-Youjiang fault zone; 17-Tianlin-Bama fault zone; 18-Nandan-Kunlunguan fault zone; 19-Baishi fault; 20-Limu-Majiang fault; 21-Fuchuan fault; 22-Guilin-Laibin fault zone; 23-Guanyin′ge fault zone; 24-Yishan-Liucheng fault zone
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Figure 12.
Posterior probability map of Carlin-type gold deposits and Triassic strata spatial distribution
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Figure 13.
Distribution of Carlin-type gold deposits predicted target area and Guangxi nonferrous metal metallogenic belts I-Danchi metallogenic belt of Sn-Cu-Pb-Zn-Ag-Sb-Hg; II-Northern Guangxi metallogenic belt of Sn-W-Cu-Ni-Pb-Zn; III-Northeastern Guangxi metallogenic belt of Sn-W-Cu-Pb-Zn-Au-Ag; IV-Damingshan metallogenic belt of W-Cu-Au; V-Dayaoshan metallogenic belt of Cu-Pb-Zn-Au; VI-Yunkaidashan metallogenic belt of Pb-Zn-W-Au; VII-West Damingshan metallogenic belt of Cu-Pb-Zn-Ag; VIII-Western Guangxi metallogenic belt of Au-Sb; IX-Jingxi-Pingguo metallogenic belt of Al
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Figure 14.
Prediction map of altered rock type gold deposits in fracture zone by the weights of evidence method and the distribution of Guangxi nonferrous metal metallogenic belts I-Danchi metallogenic belt of Sn-Cu-Pb-Zn-Ag-Sb-Hg; II-Northern Guangxi metallogenic belt of Sn-W-Cu-Ni-Pb-Zn; III-Northeastern Guangxi metallogenic belt of Sn-W-Cu-Pb-Zn-Au-Ag; IV-Damingshan metallogenic belt of W-Cu-Au; V-Dayaoshan metallogenic belt of Cu-Pb-Zn-Au; VI-Yunkaidashan metallogenic belt of Pb-Zn-W-Au; VII-West Damingshan metallogenic belt of Cu-Pb-Zn-Ag; VIII-Western Guangxi metallogenic belt of Au-Sb; IX-Jingxi-Pingguo metallogenic belt of Al