基于GIS技术的新疆阿勒吞扎瓦提地区金矿资源成矿预测研究

发布时间：2018-02-23 17:17

本文关键词： ETM 蚀变信息提取空间分析遥感成矿预测找矿信息量　出处：《中南大学》2013年硕士论文　论文类型：学位论文

【摘要】：新疆托里县阿勒吞扎瓦提地区蕴含丰富的金矿资源,本论文在对该区成矿地质背景、典型矿床特征、ETM遥感影像特征分析与金矿化信息提取的基础上,建立区内进行成矿预测所需的多源地学信息数据库。利用该数据库,结合GIS的空间分析功能对区内的已知金矿点(床)与地质异常、遥感异常进行统计,总结成矿规律,建立该区金矿资源预测模型。以空间分析统计的结果结合建立预测模型的基础上,利用遥感成矿预测与找矿信息量法,定性结合定量对该区进行成矿预测,圈定找矿远景区,并进行对比。本论文主要包括以下几方面内容： (1)结合研究区成矿地质背景,对ETM影像进行遥感解译；利用主成分分析方法与比值法对该区进行金矿化遥感异常信息提取,包括泥化异常、铁化异常与硅化异常。 (2)根据地质异常、遥感异常信息,建立本区多源地学信息数据库,包括基础地理数据、地质数据、遥感数据。 (3)利用MAPGIS软件将研究区的等高线数据生成DEM模型,结合ETM遥感影像、基础地理数据形成研究区的三维可视化模型。 (4)利用MAPGIS、MORPAS、ArcGIS软件对该区的已知金矿点与地质异常数据、遥感异常数据进行空间分析,总结各控矿因素的成矿作用. (5)利用ArcGIS软件对研究区进行遥感成矿预测,主要将各控矿因素图层进行空间叠加分析,最后形成的预测图层所显示的区域即为该区找矿最有利地段,根据成矿理论,圈定4处找矿远景区,其中A级2处,B级2处。 (6)利用MORPAS软件对研究区进行找矿信息量计算,圈定5处找矿远景区,其中A级3处,B级2处；将其结果与遥感成矿预测结果进行对比,发现两种方法圈定的找矿远景区十分吻合,证明两种方法成矿预测的可行性与可靠性。图41幅,表20个,参考文献65篇
[Abstract]:The Aletanzavati area of Tori County, Xinjiang contains abundant gold resources. In this paper, the metallogenic geological background, the characteristics of typical deposits and the characteristics of ETM remote sensing images and the extraction of gold mineralization information are analyzed. This paper establishes a multi-source information database for metallogenic prediction in this area. By using the database, combined with the spatial analysis function of GIS, the known gold points (deposits) and geological anomalies and remote sensing anomalies in the area are counted, and the metallogenic rules are summarized. On the basis of the results of spatial analysis and statistics combined with the establishment of prediction model, this paper uses the method of remote sensing metallogenic prediction and prospecting information, qualitatively and quantitatively to carry out metallogenic prediction in this area, and delineates the prospecting area. This paper mainly includes the following aspects:. 1) combining the metallogenic geological background of the study area, the ETM image is interpreted by remote sensing, and the information of gold mineralization remote sensing anomaly is extracted by principal component analysis and ratio method, including muddy anomaly, iron anomaly and silicification anomaly. 2) according to the geological anomaly and remote sensing anomaly information, the database of multi-source science information in this area is established, including basic geographical data, geological data and remote sensing data. Using MAPGIS software, the contour data of the study area are generated into DEM model, and the 3D visualization model of the research area is formed by combining the ETM remote sensing image and the basic geographic data. (4) using MAPGIS-MORPAS-ArcGIS software, the data of known gold deposits and geological anomalies and remote sensing anomalies in this area are analyzed in space, and the mineralization of various ore-controlling factors is summarized. 5) using ArcGIS software to carry out remote sensing metallogenic prediction in the study area, mainly analyzing the spatial superposition of each ore-controlling factor map layer. The area shown in the final prediction layer is the most favorable area for prospecting in this area, according to the metallogenic theory, Delineate 4 ore-prospecting scenic spots, among which A class 2, B class 2. (6) using MORPAS software to calculate the amount of ore-prospecting information in the study area, and delineating 5 ore-prospecting areas, of which A class 3 places and B grade 2 places, the results are compared with the results of remote sensing metallogenic prediction, the results of which are compared with those of remote sensing ore-forming prediction results. It was found that the prospecting areas delineated by the two methods were in good agreement with each other, which proved the feasibility and reliability of the two methods for metallogenic prediction. Figure 41, table 20, references 65
【学位授予单位】：中南大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P618.51;P208

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