Evaluating roughness scaling properties of natural active fault surfaces by means of multi-view photogrammetry
Evaluating roughness scaling properties of natural active fault surfaces by means of multi-view photogrammetry
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DOI：
10.1016/j.tecto.2017.08.023
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发表时间：
2017-10-16
期刊：
影响因子：
2.9
通讯作者：
Tavani, Stefano
中科院分区：
文献类型：
--
作者：
Corradetti, Amerigo;McCaffrey, Ken;Tavani, Stefano
断层粗糙度是断层粗糙度的大小和分布的量度，它可以作为影响断层摩擦行为和破裂传播动力学的应力集中器。旨在描述断层粗糙度的研究需要获取非常详细和准确的断层表面形貌数据集。断层表面数据已通过LiDAR、激光轮廓仪和白色光干涉仪等方法获得，每种方法覆盖不同的长度尺度，并且只有LiDAR在现场可用。在这里，我们探讨了潜在的使用多视图摄影测量方法在故障粗糙度的研究，这是目前欠探索，并提供详细的数据采集直接在现场的优势。我们应用摄影测量方法来重现断层地形，通过使用七个dm大小的断层岩石样品在实验室拍摄，三个断层表面在现场拍摄，和一个控制对象用于估计模型误差。我们研究了这些地形估计其粗糙度标度系数通过傅立叶功率谱方法。我们的结果表明，标度系数为0.84 +/- 0.17沿着滑动方向和0.91 +/- 0.17垂直于它，从而与以前的作者所获得的结果。这为今后的研究中使用摄影测量方法提供了鼓励，特别是那些涉及实地采集的方法，而其他技术有局限性。
Fault roughness is a measure of the dimensions and distribution of fault asperities, which can act as stress concentrators affecting fault frictional behaviour and the dynamics of rupture propagation. Studies aimed at describing fault roughness require the acquisition of extremely detailed and accurate datasets of fault surface topography. Fault surface data have been acquired by methods such as LiDAR, laser profilometers and white light interferometers, each covering different length scales and with only LiDAR available in the field. Here we explore the potential use of multi-view photogrammetric methods in fault roughness studies, which are presently underexplored and offer the advantage of detailed data acquisition directly in the field. We applied the photogrammetric method to reproduce fault topography, by using seven dm-sized fault rock samples photographed in the lab, three fault surfaces photographed in the field, and one control object used to estimate the model error. We studied these topographies estimating their roughness scaling coefficients through a Fourier power spectrum method. Our results show scaling coefficients of 0.84 +/- 0.17 along the slip direction and 0.91 +/- 0.17 perpendicularly to it, and are thus comparable to those results obtained by previous authors. This provides encouragement for the use of photogrammetric methods for future studies, particularly those involving field-based acquisition, where other techniques have limitations.