遥感技术在香格里拉—德格地区斑岩铜矿中的应用研究

发布时间：2018-03-15 06:27

本文选题：遥感蚀变信息提取　切入点：地貌特征　出处：《成都理工大学》2015年硕士论文　论文类型：学位论文

【摘要】：研究区位于香格里拉-德格地区,属于青藏高原的横断山脉地区,该地区具有地形起伏大、植被覆盖厚、冰雪覆盖广等特点。该区域海拔高度多在4000m以上,气候寒冷,经济落后,交通条件差,野外工作条件艰苦,常规矿产勘查工作困难。遥感图像具有广阔的视域,能够真实地反映各种地质现象间的关系,在该区域地质信息的解译方面具有不可替代的优势。本文根据地貌特征选择了三个区域作为典型研究区:昌达沟研究区、玉龙研究区和格咱研究区。采用“3S”技术研究不同地貌背景下斑岩铜矿的信息,为西南三江地区不同地貌特征下斑岩铜矿的研究提供了参考。采用OLI数据、ALI数据、ASTER数据进行格咱研究区内卓玛矿区的遥感蚀变信息重现性研究,遥感蚀变信息重现性好。本文采用ETM+数据、OLI数据、ASTER数据来提取玉龙矿区的矿化蚀变信息,主要提取了铁染蚀变信息、羟基蚀变信息、绢云母信息和青磐岩化信息。本文对遥感影像进行了数据预处理、去干扰处理,采用了波段组合法、主成分分析法、最小噪声分离法等多种方法来提取绢云母信息,多种方法所得结果相互印证。本文根据大地构造、地层、成矿岩体、区域构造进行蚀变信息的优选,筛选出与斑岩铜矿的蚀变信息,为矿产勘查服务。本文在总结典型斑岩矿床成矿要素的基础上,对成矿要素进行优选,共选择了5个成矿要素。本文根据遥感蚀变信息、线性构造、环形构造、地层等信息建立了定量的预测模型,计算研究区内的成矿有利度。结合已知的矿区资料,验证该区域的遥感找矿模型,并进行了成矿远景区预测。运用遥感、GIS、地质综合分析技术,改进遥感蚀变信息的技术方法与流程,提高了矿化蚀变信息提取的准确性,为该区域成矿预测提供参考依据,更加高效的进行矿产勘探。
[Abstract]:The study area is located in Shangri-Dege area, which belongs to the cross-cut mountain region of the Qinghai-Tibet Plateau. The area is characterized by large topography, thick vegetation cover, wide snow and ice cover, etc. The altitude of this area is more than 4,000 m, and the climate is cold. Economic backwardness, poor traffic conditions, hard field work conditions and difficulties in conventional mineral exploration. Remote sensing images have a broad horizon and can truly reflect the relationship between various geological phenomena. There is an irreplaceable advantage in the interpretation of regional geological information. According to the geomorphological features, three regions are selected as typical research areas: Changdagou research area. The information of porphyry copper deposits in different geomorphological backgrounds was studied by "3s" technique in Yulong Research area and Gezan Research area. This paper provides a reference for the study of porphyry copper deposits under different geomorphological characteristics in the Sanjiang area of southwest China. Using OLI data and Ali data and ASTER data to study the reproducibility of remote sensing alteration information in Zhuoma mining area of Gezan study area. The remote sensing alteration information is reproducible. In this paper, the mineralization alteration information of Yulong mining area is extracted by ETM data and Oli data. In this paper, the remote sensing images are processed by data preprocessing, interference removal, band combination method, principal component analysis method, minimum noise separation method and other methods to extract sericite information. The results obtained by various methods confirm each other. In this paper, the alteration information of porphyry copper deposits is screened out according to the optimal selection of alteration information of geotectonic, stratigraphic, ore-forming rock mass and regional tectonics. On the basis of summarizing the metallogenic elements of typical porphyry deposits, five ore-forming elements have been selected according to the information of remote sensing alteration, linear structure and ring structure. A quantitative prediction model has been established to calculate the metallogenic advantage in the study area. The remote sensing prospecting model in this area has been verified by combining the known mining data. The remote sensing GIS-geological comprehensive analysis technology is used to improve the technical method and flow of remote sensing alteration information, and the accuracy of extracting mineralization alteration information is improved, which provides a reference basis for metallogenic prediction in this area. More efficient mineral exploration.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P627;P618.41

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