| 徐俊龙.基于地质统计学原理的会泽铅锌矿遥感线性构造解析[J].地质与勘探,2014,50(4):763-771 |
| 基于地质统计学原理的会泽铅锌矿遥感线性构造解析 |
| An analysis of linear structures in the Huize lead-zinc mine based on remote sensing images using the principle of geostatistics |
| 投稿时间：2013-11-18 修订日期：2014-02-26 |
| DOI： |
| 中文关键词: 地质统计学 遥感 线性构造 会泽铅锌矿 |
| 英文关键词: geostatistics, remote sensing, lineament, Huize lead-zinc deposit |
| 基金项目:国家自然科学基金联合基金(U1133602)、国家自然科学基金(41101343)和昆明理工大学成矿动力学与隐伏矿预测创新团队(2008)联合资助 |
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| 中文摘要: |
| 地质统计学在自然科学领域发展迅速，凡是要研究空间数据的结构性和随机性, 亦或是要模拟对象的离散性、波动性等数学性质均可运用地质统计学——其理论方法在地质环境评价、石油储量计算、矿山建模及矿床地球化学等领域的研究中都取得了一系列成果。而遥感解译的复杂地质构造信息虽也符合作为地质统计学研究对象的条件, 但却鲜见其理论方法应用于遥感构造研究，从而更深入地分析地质事件及过程。本文则以会泽铅锌矿为例,在通过印度IRS-P6卫星数据解译的线性构造基础上，运用了多种地质统计学方法，综合前人研究和区域地质背景，将已知的NE、NW、EW和SN 4组方位构造再划分为“成矿有利”和“非成矿有利”2组构造；在通过方差分析检验了分类的合理性后，通过主成分分析和克里格插值法作出了成矿有利度图，并比对已知的的矿山厂和麒麟厂矿床，最终从构造角度为找矿工作提供了一定的参考依据。 |
| 英文摘要: |
| Geostatististics have developed rapidly in the field of natural science. The theory and method of geological statistics can be applied to study spatial data structure and randomness or to model discrete volatility and other mathematical properties, and a series of achievements have been made, especially in the field of geological environment evaluation, oil reserves estimation, mine modeling and ore deposit geochemistry. The remote sensing interpretation of complex geological structure information can meet the requirements of geological statistics, but few of its theory research methods have been applied to studies of structures based on remote sensing images. This paper takes the Huize lead-zinc mine as an example, and uses a variety of geological statistics methods through India IRS - P6 satellite data interpretation to divide the known NE, NW, EW and SN-trending structures into 2 groups of ore-forming favorableness and non-ore-forming favorableness structures based on previous studies and regional geological background. We test this classification rationality through variance analysis, and make an ore-forming favorability map through principal component analysis and Kriging interpolation method. This study also compares the results with the known mines and the kylin factory deposit, and provides a scientific basis for ore prospecting work from the point of view of structure. |
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