| 基于RS&GIS的证据权重法在花山岩体铀矿成矿预测中的应用 |
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| 引用本文： | 曹翠,吴虹,黄晓娟,马艳丽.基于RS&GIS的证据权重法在花山岩体铀矿成矿预测中的应用[J].桂林工学院学报,2012,32(2):162-168. |
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| 作者姓名： | 曹翠 吴虹 黄晓娟 马艳丽 |
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| 作者单位： | 1. 桂林理工大学地球科学学院,广西桂林541004;桂林理工大学广西空间信息与测绘重点实验室,广西桂林541004
2. 重庆市地质矿产勘查开发局南江水文地质工程地质队,重庆,401120 |
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| 基金项目： | 广西大规模地质矿产勘查项目，广西自然科学基金项目，广西研究生教育创新计划资助项目，广西空间信息与测绘重点实验室资助项目 |
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| 摘 要： | 以遥感为主要技术手段,对广西花山花岗岩岩体铀矿点的遥感地质特征进行研究,获取了大量与矿化有关的信息.经MapGIS平台分析地质单元、地质构造、地质复杂度、蚀变信息、热异常信息与成矿的关联度,挑选出10种与成矿有关的证据因子,建立了基于GIS的证据权重法找矿预测模型.运用证据权重模型对各成矿证据因子进行综合预测分析,计算出基于网格单元的各因子的权重值,通过各网格单元的信息量总和得出后验概率值,根据后验概率值的大小,对研究区进行铀矿找矿靶区的预测,圈定出4个级别的成矿远景区.
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| 关 键 词： | 花山花岗岩体 遥感 GIS 证据权重法 铀矿 成矿预测 |
Application of Evidence Weights Method Based on RS & GIS for Prospecting Uraniumin Mines in Huashan Granite Body, Guangxi |
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| CAO Cui
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WU Hong
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HUANG Xiao-juan
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MA Yan-li.Application of Evidence Weights Method Based on RS & GIS for Prospecting Uraniumin Mines in Huashan Granite Body, Guangxi[J].Journal of Guilin University of Technology,2012,32(2):162-168. |
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| Authors: | CAO Cui WU Hong HUANG Xiao-juan MA Yan-li |
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| Affiliation: | 1. a. College of Earth Sciences ; b. Guangxi Key Laborabory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China ; 2. Chongqing Bureau of Geoligy and Minerals exlioration Nanjiang Hydrogeologlcal ＆ Engineering Geology Brigade, Chongqing 401120, China) |
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| Abstract: | By remote sensing technique, a wealth of mineralization-related information is acquired from the research in remote-sensing geological characteristics of uranium minerals from Huashan granite body of Guangxi. The correlation between geological unit, geological structure, geological complexity, alterative, hot abnormal information and the mineralization is analyzed by MapGIS. Ten types of metallogenic evidence factors are selected, and the GIS-based evidence weighted model of metallogenic prediction is established. The weights of various factors via the unit cells are calculated based on the analysis of various metallogenic factors from the evidence weighted model. Four levels prospective regions are fixed with the posterior probabilities got from the total information in each unit cell. |
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| Keywords: | Huashan granite body remote sensing （RS） GIS weights of evidences uranium mineralization mineral prospecting |
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