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Multi-element association analysis of stream sediment geochemistry data for predicting gold deposits in south-central Yunnan Province, China

Khaled Ali, Qiuming Cheng, Li Wenchang and Chen Yongqing
Multi-element association analysis of stream sediment geochemistry data for predicting gold deposits in south-central Yunnan Province, China
Geochemistry - Exploration, Environment, Analysis (November 2006) 6 (4): 341-348

Abstract

The use of traditional statistical and new methods of spatial analysis can provide suitable indicators of geochemical element dispersion, and aid in targeting potential areas for mineral exploration. A case study involving the analysis of stream sediment geochemistry data from an area in Yunnan province, South China, is presented. The area has two known areas of gold deposits where several mines are present. The study starts with an appraisal of the descriptive statistics of the data. Geological studies were conducted in the study area to obtain a thorough understanding of the regional geology, ore geology of known gold deposits, and mineralization, and to determine the mineral deposit model. Most of the GIS analysis was done using the stream sediment geochemical data. An inverse distance weighting interpolation algorithm was used to convert the point data to continuous surface (grid) maps for each element. Principal component analysis (PCA) was used to compress the information to a few maps and to assist in determining multi-element associations. The study revealed that most of the high element concentrations in stream sediments were found in the Ailaoshan metamorphic belt. Gold deposits were found to be associated with ultramafic intrusives within the Ailaoshan metamorphic belt and the ultramafic intrusives are associated with principal component images that represent multi-element associations related to gold mineralization. The first two principal components possibly represent two different types of gold associations and phases of mineralization. The study demonstrates the usefulness of applying PCA to geochemical data to produce maps that reveal different associations useful for gold exploration.


ISSN: 1467-7873
EISSN: 2041-4943
Serial Title: Geochemistry - Exploration, Environment, Analysis
Serial Volume: 6
Serial Issue: 4
Title: Multi-element association analysis of stream sediment geochemistry data for predicting gold deposits in south-central Yunnan Province, China
Affiliation: York University, Department of Earth and Space Science and Engineering, Toronto, ON, Canada
Pages: 341-348
Published: 200611
Text Language: English
Publisher: Geological Society Publishing House, London, United Kingdom
References: 25
Accession Number: 2007-008126
Categories: General geochemistryEconomic geology, geology of ore deposits
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table, sketch maps
N22°30'00" - N25°00'00", E100°19'60" - E102°00'00"
Secondary Affiliation: Yunnaan Geological Survey, CHN, ChinaGeological Survey of China, CHN, China
Country of Publication: United Kingdom
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data from The Geological Society, London, London, United Kingdom
Update Code: 200704
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