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| Titel |
Application of singularity theory and logistic regression model for tungsten polymetallic potential mapping |
| VerfasserIn |
Y. Liu, Q. Xia, Q. Cheng, X. Wang |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 20, no. 4 ; Nr. 20, no. 4 (2013-07-03), S.445-453 |
| Datensatznummer |
250018982
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| Publikation (Nr.) |
 copernicus.org/npg-20-445-2013.pdf |
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| Zusammenfassung |
| Geo-anomalies with complex structures in the earth's
crust may be defined as preferable hydrothermal ore-forming targets. The
separation and explanation of anomaly from geological background have a
profound influence on the analysis of geological evolution and the
ore-forming process. Usually one of the key steps to identify favorable
exploration targets is to determine the threshold to separate anomaly from
geological background. In this paper, the singularity theory and
concentration–area (C–A) fractal method was applied in determination of the
threshold of geo-anomalies. According to the thresholds, four singular maps
can be each divided into two segments. Each of them is correlated to the
anomaly and background of the geological objects (e.g., faults, fault
intersections and contacts), which reveals that the various geo-anomalies
can be characterized by the singularities. The results indicate that the
local singularity method can be used to identify the weak anomalies in a low
background. Logistic regression model was used to combine geo-singularity
maps for mineral potential mapping, which provides a useful input for
further mineral exploration in the Nanling tungsten polymetallic belt, South
China. |
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