Spatial Affecting Extents Limited Comprehensive Geo-information Mineral Resources Quantitative Prediction Models: A Case Study of Manganese Ore Predictionin Western Guangxi and Southeastern Yunnan Province, China

详细信息   

• 责任者：Zhang Baoyi (Key Laboratory of Metallogenic Prediction of Nonferrous Metals ; Ministry of Education ; School of Geosciences and Info-Physics ; Central South University ; Changsha ; 410083 ; China) ; Mao Xiancheng
• 刊名：Geological Review
• 出版年：2012
• 卷期：58(5)
• 关键词：锰矿 ; manganese ores ; 资源预测 ; resources prediction ; 广西 ; Guangxi
• 页码：p.978-986
• 图表：4 illus., 2 illus., 23 refs.
• 分类号：1001
• issnNo：ISSN0371-5736
• isbnNo：CN11-1952/P

摘要

This paper analyzed the information asymmetry problem between prediction areas and known areas faced by the mineral resource quantitative prediction and brought a comprehensive geo-information quantitative prediction method limited by spatial affecting extent to deal with it, which applied in manganese ore prediction in western Guangxi and southeastern Yunnan Province, China.  The procedure of prediction matched metallogenesis of prediction areas with prediction models built in known areas, which efficiently ensured the information symmetry.