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Applications of the VLF-EM method for Rapid Sumatran Fault Identification in Leuser National Park, Aceh

机译:VLF-EM方法在伊索德国家公园苏门兰苏门兰故障识别中的应用

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Aceh is an area which is located at volcanically active region and at the meeting point of the Eurasian and the Indo-Australian plates. Many mountain formations and folds are formed as a result of the meeting of these plates. One of the mountains in Aceh is The Gunung Leuser, the highest mountain in the province with altitude of 3,404 m. The active geodynamic conditions could lead to the formation of potentially active faults which produce earthquakes. Due to safety reason, there are few researches done to identify active faults in the LE (Leuser Ecosystem). Therefore, we propose a preliminary study to identify morphological patterns of the fault system from the topography data of SRTM (Shuttle Radar Topography Mission). Having obtained the approximate location of fault, then a Very Low Frequency method is applied to determine the detail characteristic of the fault. This method can determine the subsurface structure to a depth of 50 m without digging or drilling. In this study, we measure three profiles with length of each profile of 12-16 km. Along profile 1, the VLF data fluctuated due to relatively high iron deposition along the line. For profile 2, the results are very consistent with the adjacent to the fault Blangkejeren which is the main part of the Sumatran Fault. Profile 3 Lokop-Kutacane fault also shows the correction of the topography. In general, VLF method is relatively influenced by noise as the consequences of the passive electromagnetic measurement. Thus, it is important to develop an analysis method of VLF data that includes the topographical correction so that better lateral anomaly map can be created.
机译:Aceh是位于火山活动区域和欧亚和印度澳大利亚邦的会议点的地区。由于这些板的会议,因此形成了许多山形和褶皱。 Aceh中的一座山区是Gunung Leuser,该省中最高的山脉,高度为3,404米。有源地质动力学条件可能导致形成潜在的产生地震的缺陷。由于安全原因,少量研究了识别LE(Leuser生态系统)中的积极故障。因此,我们提出了初步研究,以识别来自SRTM的地形数据的故障系统的形态模式(穿梭雷达地形任务)。获得了故障的近似位置,然后应用了非常低的频率方法来确定故障的细节特性。该方法可以在不挖掘或钻孔的情况下将地下结构确定为50μm的深度。在这项研究中,我们测量三个曲线,每个轮廓为12-16公里。沿轮廓1,由于沿线的相对高的铁沉积,VLF数据波动。对于个人资料2,结果与故障Blangkejeren相邻是非常一致的,这是Sumatran故障的主要部分。简介3 Lokop-Kutacane故障也显示了地形的校正。通常,VLF方法的噪声相对影响是被动电磁测量的后果。因此,重要的是开发包括地形校正的VLF数据的分析方法,以便可以创建更好的横向异常地图。

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