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吉林山门Ag-Au-Ni找矿远景区遥感地质特征及矿产预测

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王晓志, 李雪菲, 张乐彤, 王璐, 赵庆英. 吉林山门Ag-Au-Ni找矿远景区遥感地质特征及矿产预测[J]. 地质与资源, 2014, 23(1): 57-61. doi: 10.13686/j.cnki.dzyzy.2014.01.008
引用本文: 王晓志, 李雪菲, 张乐彤, 王璐, 赵庆英. 吉林山门Ag-Au-Ni找矿远景区遥感地质特征及矿产预测[J]. 地质与资源, 2014, 23(1): 57-61. doi: 10.13686/j.cnki.dzyzy.2014.01.008
shu
WANG Xiao-zhi, LI Xue-fei, ZHANG Le-tong, WANG Lu, ZHAO Qing-ying. GEOLOGICAL CHARACTERISTICS AND MINERAL PREDICTION BY REMOTE SENSING OF THE SHANMEN Ag-Au-Ni PROSPECTING AREA IN JILIN PROVINCE[J]. Geology and Resources, 2014, 23(1): 57-61. doi: 10.13686/j.cnki.dzyzy.2014.01.008
Citation: WANG Xiao-zhi, LI Xue-fei, ZHANG Le-tong, WANG Lu, ZHAO Qing-ying. GEOLOGICAL CHARACTERISTICS AND MINERAL PREDICTION BY REMOTE SENSING OF THE SHANMEN Ag-Au-Ni PROSPECTING AREA IN JILIN PROVINCE[J]. Geology and Resources, 2014, 23(1): 57-61. doi: 10.13686/j.cnki.dzyzy.2014.01.008
shu

吉林山门Ag-Au-Ni找矿远景区遥感地质特征及矿产预测

  • 1.

    吉林大学 地球科学学院, 吉林 长春 130061;

  • 2.

    吉林省地质调查院, 吉林 长春 130061

详细信息
    作者简介: 王晓志(1981-),男,硕士研究生,主要从事数字地质与遥感方面研究,通信地址 吉林省长春市南昌路2号,E-mail//weusour@126.com

  • 中图分类号: P618.52;P618.51;P618.63;P627

GEOLOGICAL CHARACTERISTICS AND MINERAL PREDICTION BY REMOTE SENSING OF THE SHANMEN Ag-Au-Ni PROSPECTING AREA IN JILIN PROVINCE

  • 1.

    College of Earth Sciences, Jilin University, Changchun 130061, China;

  • 2.

    Jilin Institute of Geological Survey, Changchun 130061, China

    摘要
  • 山门银矿位于山门Ag-Au-Ni找矿远景区中南部.通过对典型矿床及远景区的ETM数据、ALOS图像处理及遥感地质特征解译，总结出山门银矿的形成与依兰-伊通断裂带附近的次级断裂关系密切，并受北东向区域性脆韧性变形构造及环形构造控制.根据这一特征，在远景区内圈出7个最小预测区，总结了各预测区遥感预测依据，为在该地区成矿预测及找寻该类型矿产提供遥感依据.
    The Shanmen silver deposit is located in the southern part of Shanmen Ag-Au-Ni prospecting area. With the ETM data, ALOS image processing and remote sensing interpretation of geological features of typical deposits and the prospecting area as well, it is concluded that the formation of the Shanmen silver deposit is closely associated with the second-order faults near the Yilan-Yitong fault zone, and controlled by the NE-trending regional brittle-ductile deformation and circular structures. Based on this result, seven minimum prediction areas are delineated. The remote sensing basis for the prediction is also summarized, which would hopefully provide a guide to the mineral prospecting by remote sensing in the area.
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出版历程
收稿日期:  2013-12-26
修回日期:  2014-01-04
刊出日期:  2014-02-28

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