| 基于GIS技术的三江北段铜多金属成矿预测与评价 |
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| 引用本文： | 王功文,陈建平.基于GIS技术的三江北段铜多金属成矿预测与评价[J].地学前缘,2008,15(4):27-32. |
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| 作者姓名： | 王功文 陈建平 |
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| 作者单位： | 中国地质大学(北京)地球科学与资源学院,北京,100083;中国地质大学(北京)北京市国土资源信息开发研究重点实验室,北京,100083 |
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| 基金项目： | 科学技术部国家科技支撑计划 |
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| 摘 要： | 基于地质、地球物理、地球化学和遥感等多元地学信息的成矿预测与评价,能够优选和圈定成矿远景区,并为区域矿产资源量的估算提供依据,是国内外定量地学研究的重点和热点之一。文中选取西南三江北段为研究区,针对研究区铜多金属矿床具有海拔高、坡度大、近地表出露和矿区剥蚀环境发育等特征,在以往国内外学者普遍认同的控矿因素进行区域预测与评价的基础上,结合区域矿床的变化和保存条件研究内容,提出兼顾区域控矿、变化-改造、保存因素的成矿预测评价新认识。为了检验新认识,文中根据研究区成矿地质背景和已查明的24个铜多金属矿床,利用GIS技术提取铜多金属矿床赋存相关的29种多元信息,选取了证据权重法,开展基于控矿因素的20个因子和基于控矿、变化-改造和保存因素的29个因子两种区域铜多金属成矿预测与评价,编制成矿后验概率图,结合已知矿点和野外验证分析,认为基于控矿、变化-改造、保存因素的成矿预测结果优于单一的控矿因素预测结果:一方面剔除了冰川、水蚀或风化等近地表营力作用产生的非成矿异常区,另一方面提取了近地表赋存矿体的地层和岩体相关的成矿远景区。
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| 关 键 词： | 控矿因素 变化-改造因素 保存因素 GIS 证据权重法 成矿预测 |
Mineral resource prediction and assessment of copper multi-mineral deposit based on GIS technology in the north of Sanjiang region, China |
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| Wang Gongwen,Chen Jianping.Mineral resource prediction and assessment of copper multi-mineral deposit based on GIS technology in the north of Sanjiang region, China[J].Earth Science Frontiers,2008,15(4):27-32. |
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| Authors: | Wang Gongwen Chen Jianping |
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| Abstract: | On the basis of the multi-information on geology, geophysics, geochemistry, and remote sensing, mineral resource prediction and assessment is one of the keystones and popular topics in quantificational geosciences both in China and abroad, for it can not only be used to extract metallogenetic information and delineate metallogenetic targets, but provide important data for the quantitative assessment of mineral resources. This article takes the northern part of Sanjiang region in the south of Qinghai Province, China, as a case study area. On the basis of the conventional mineralized factors of mineral resource prediction and assessment, combined with the research on post-ore change and preservation, a new insight into mineral resource prediction and assessment, in terms of regional mineralization, change, and preservation factors, is built on account of the features of deposits at high altitudes, big slopes, emergence in surface, and denudation in the study area. According to the 24 copper complex deposits and geological settings in the study area, 29 variations, including mineralized factors, change factors, and preservation factors have been extracted by Geographic Information System (GIS) technology. To show the effect of the new insight, two mineral resource prediction models have been built with the 29 variations and 20 mineralized variations, respectively. Weight-of-evidence modeling is applied to map copper complex potential areas in this study area. The posterior probability maps of copper complex deposits delineated by weights of evidence method are made by contrasting mineralized factors with mineralization, and also changed factors with preservation factors. the results of the latter is better than that of the former: on one hand, the latter eliminates the nonmineralized area that is produced by glacier, water, or wind denudation, and on the other hand, it can delineate mineral prospects that have concealed mineralized stratum or magma. |
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| Keywords: | mineralization factor change factor preservation factor GIS weight-of-evidence modeling mineral resource prediction and assessment |
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