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A Computer Based Factor Model to Elucidate Secondary Trace-Element Distribution Patterns around the Sargipalli Lead-Zinc Sulphide Deposit, Sundergarh District, Orissa (India)


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1 Geological Survey of India, 28 B, Theatre Road, Calcutta 700 017, India
     

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The paper examines the results of computer based factor analysis performed on multi-element data from detailed soil geochemical survey over the lead-zinc mine at Sargipalli. Eleven elements (Pb. Cu, Zn, Ni, Co, So, Zr, Ag, Sr, Bi and Ga), measured on each of 216 soil samples by spectrographic and atomic absorption spectrophotometric methods were considered. The results from the factor analysis (R-mode) indicated that the multi-element soil geochemical distribution patterns around the Sargipalli deposit could be explained by a six-factor model. The proper evaluation of this model in relation to sound geological/geomorphological facts known from the area of study, would provide a significant insight into the probable nature of dominant underlying factors influencing the areal distribution of trace elements in soils around the ore body, and hence may serve as an indirect aid in locating further potential prospecting targets in the area.
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  • A Computer Based Factor Model to Elucidate Secondary Trace-Element Distribution Patterns around the Sargipalli Lead-Zinc Sulphide Deposit, Sundergarh District, Orissa (India)

Abstract Views: 278  |  PDF Views: 6

Authors

A. Roy
Geological Survey of India, 28 B, Theatre Road, Calcutta 700 017, India

Abstract


The paper examines the results of computer based factor analysis performed on multi-element data from detailed soil geochemical survey over the lead-zinc mine at Sargipalli. Eleven elements (Pb. Cu, Zn, Ni, Co, So, Zr, Ag, Sr, Bi and Ga), measured on each of 216 soil samples by spectrographic and atomic absorption spectrophotometric methods were considered. The results from the factor analysis (R-mode) indicated that the multi-element soil geochemical distribution patterns around the Sargipalli deposit could be explained by a six-factor model. The proper evaluation of this model in relation to sound geological/geomorphological facts known from the area of study, would provide a significant insight into the probable nature of dominant underlying factors influencing the areal distribution of trace elements in soils around the ore body, and hence may serve as an indirect aid in locating further potential prospecting targets in the area.