森林-沼泽浅覆盖区地质填图方法试验——以黑龙江1:5万望峰公社幅为例

    One test and practice case of geological mapping in the shallow coverage of forests and marshes: The Wangfeng Sheet of the 1: 50 000 mapping in Heilongjiang Province

    • 摘要: 以往覆盖区区域地质调查受自然条件制约,地质信息获取困难,极大地限制了覆盖区的基础地质研究和找矿工作,所以覆盖区地质填图技术亟需向多学科、多方法的融合方式转变,提升覆盖区地质填图信息承载量和多元化服务能力。选择黑龙江1:5万望峰公社幅开展森林-沼泽浅覆盖区填图方法探索。通过土壤、航磁、遥感多源数据反演解译,划分地球化学、磁性和遥感数据单元,结合地质调查验证确定了地质体的边界及主要断层和环形构造。浅钻揭露和能量色散X荧光分析,在降低生态扰动的同时,进一步提升填图工作效率和地质信息获取量。对上述方法的有效性分析表明,以地质验证调查为依据的物化遥多源信息综合反演解译可以为覆盖区的地质填图工作提供重要的地质信息,该技术方法可为森林-沼泽浅覆盖区的地质填图工作提供方法参考。

       

      Abstract: Previous regional geological survey was subjected to the restriction of the natural conditions in coverage area, so it was difficult to acquire geological information, and greatly hindered the basic geological research and ore prospecting.Therefore, the geological mapping technology of coverage area should be changed to the integration of multi-disciplines and multi-methods, so as to improve the information carrying capacity and diversified service capacity of geological mapping in coverage area.The Wangfeng Commune sheet of 1:50 000 mapping in Heilongjiang Province was selected to explore the mapping methods in the shallow coverage area of forest and swamp.By presenting the inversion and interpretation of multi-source data of soil, aeromagnetic and remote sensing, the geochemical- magnetic-remote sensing data units were divided, and the boundaries of geological bodies, major faults and ring structures were determined by combining with geological survey verification.The shallow drlling and energy dispersive X fluorescence analysis were conducted to reduce the ecological disturbance and improve the mapping efficiency and acquisition of geological information.The validity of the method shows that the comprehensive inversion and interpretation of multi-source data can provide important geological information, and the technical methods explored in this study can provide significant reference for geological mapping in shallow coverage area of forest and swamp.

       

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