贾大成, 穆宏玉, 姜琦刚, 李远华, 杨长保. 2017: 玻利维亚优势矿种成矿带划分和基于遥感地质解译的找矿预测. 地质通报, 36(12): 2322-2331.
    引用本文: 贾大成, 穆宏玉, 姜琦刚, 李远华, 杨长保. 2017: 玻利维亚优势矿种成矿带划分和基于遥感地质解译的找矿预测. 地质通报, 36(12): 2322-2331.
    JIA Dacheng, MU Hongyu, JIANG Qigang, LI Yuanhua, YANG Changbao. 2017: Metallogenic belt division and prospecting prediction for the advantageous ores in Bolivia based on remote sensing geological interpretations. Geological Bulletin of China, 36(12): 2322-2331.
    Citation: JIA Dacheng, MU Hongyu, JIANG Qigang, LI Yuanhua, YANG Changbao. 2017: Metallogenic belt division and prospecting prediction for the advantageous ores in Bolivia based on remote sensing geological interpretations. Geological Bulletin of China, 36(12): 2322-2331.

    玻利维亚优势矿种成矿带划分和基于遥感地质解译的找矿预测

    Metallogenic belt division and prospecting prediction for the advantageous ores in Bolivia based on remote sensing geological interpretations

    • 摘要: 钨、锡和锑是玻利维亚的优势矿种。基于ETM遥感影像和遥感地质解译方法对玻利维亚安第斯山脉优势矿种分布特征进行解译,从遥感地质角度圈定玻利维亚优势矿种和科迪勒拉成矿带,并进一步分为科迪勒拉奥连塔尔(Cordillera Oriental)和科迪勒拉奥赛登塔尔(Cordillera Occidental)2个成矿亚带。成矿带在空间上具有东西分带,南北分区的特征;在时间上具有东带老、西带新,北段老、南段新的特征。依据成矿地质条件和成矿带时空分布特征进行遥感找矿预测,按不同比例尺由粗到细,逐步缩小找矿靶区,分层次划分找矿预测区。通过1:100万遥感地质解译,提出战略选区;通过1:25万遥感地质解译,提出重点找矿区;通过1:5万遥感地质解译,提出找矿预测区。

       

      Abstract: Tin, tungsten, and antimony deposits are the advantageous deposits in Bolivia. Based on ETM remote sensing image and methods of remote sensing geological interpretation, the authors interpreted the distribution of the advantageous ores. The Cordillera metallogenic belt was selected based on the remote sensing geological interpretations and was divided into two metallogenic subbelts of Cordillera Oriental and Cordillera Occidental. The metallogenic belt in space has characteristics of different partitions in the east and the west and different zones in the north and the south. The metallogenic belt has characteristics of early in the east belt and later in the west belt and early in the north partition and later in the south partition in time. Metallogenic geological conditions of the advantageous ores were analyzed. Different grade prospecting prediction areas were divided according to different scales of remote sensing geological interpretations and metallogenic geological conditions. Strategic selected provinces were put forward through 1:1000000 remote sensing geological interpretation. Key metallogenic regions were proposed through 1:250000 remote sensing geological interpretation. Prospecting prediction areas were delineated through 1:50000 remote sensing geological interpretation.

       

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