Evaluation of Copper Mineral Resource Potential Using Concentration–Area Fractal Model and Fuzzy Evidence Weighting: A Case Study of the Jiurui Region in Jiangxi

LIN Yuheng; WANG Lili; OUYANG Yongpeng; LI Zenghua; ZENG Runling; CHEN Qi; DENG Youguo

doi:10.12401/j.nwg.2023199

2024 Vol. 57, No. 1

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Article navigation > Northwestern Geology > 2024 > 57(1): 165-178

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LIN Yuheng, WANG Lili, OUYANG Yongpeng, LI Zenghua, ZENG Runling, CHEN Qi, DENG Youguo. 2024. Evaluation of Copper Mineral Resource Potential Using Concentration–Area Fractal Model and Fuzzy Evidence Weighting: A Case Study of the Jiurui Region in Jiangxi. Northwestern Geology, 57(1): 165-178. doi: 10.12401/j.nwg.2023199

Citation:

LIN Yuheng, WANG Lili, OUYANG Yongpeng, LI Zenghua, ZENG Runling, CHEN Qi, DENG Youguo. 2024. Evaluation of Copper Mineral Resource Potential Using Concentration–Area Fractal Model and Fuzzy Evidence Weighting: A Case Study of the Jiurui Region in Jiangxi. Northwestern Geology, 57(1): 165-178. doi: 10.12401/j.nwg.2023199

Evaluation of Copper Mineral Resource Potential Using Concentration–Area Fractal Model and Fuzzy Evidence Weighting: A Case Study of the Jiurui Region in Jiangxi

1.
School of Earth Sciences, East China University of Technology, Nanchang 330013, Jiangxi, China
2.
10th Geological Party of Jiangxi Bureau of Geology, Yingtan 335001, Jiangxi, China
3.
Yingtan Key Laboratory of Exploration and Research of Scarce and Advantage Minerals, Yingtan 335001, Jiangxi, China

More Information

Corresponding author: OUYANG Yongpeng, yongpeng0524@163.com

Received Date: 08 October 2023

Revised Date: 18 November 2023

Accepted Date: 20 November 2023

Publish Date: 20 February 2024

Abstract

Abstract

The Jiurui region in Jiangxi Province, China, is one of the most significant copper mining areas in the middle and lower reaches of the Yangtze River mineralization belt, with a close relationship between granodiorite porphyry and copper mineralization. In this study, a predictive model for mineralization potential was established by combining factor analysis (FA), concentration-area (C-A) fractal method, and fuzzy weight of evidence (FWofE) based on information related to stream sediment and mineralization. ϕfactor analysis was applied to a dataset of 255 stream sediment samples containing 32 elements to identify combinations of elements (principal factors) indicative of copper mineralization. κ the principal factor scores were interpolated using the multiple inverse distance weighted (MIDW) method to create a raster map, and the C-A fractal model was employed to extract geochemical anomalies associated with copper mineralization. λ the geochemical anomaly map related to copper mineralization was integrated with geological and remote sensing interpretation data, and a predictive model was established using the fuzzy weight of evidence method. The results indicated that: known copper deposits are located within high-probability zones defined by the model and are influenced by the distribution of granodiorite porphyry and faults; in addition to the known copper deposit areas, three primary prospective areas identified within the defined regions also exhibit a high probability, meriting further exploration efforts for copper prospecting.
- mineral resources evaluation /
- copper mine /
- fuzzy weight of evidence /
- C–A fractal model /
- Jiurui region

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References

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