基于多频InSAR数据的地表形变模拟预测2017年浦项地震震源

M. Fadhillah, Chang-Wook Lee
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引用次数: 1

摘要

2017年11月17日,韩国浦项发生地震,强度为5.4 Mw。这是自该设备首次安装以来,地方当局记录的第二强烈地震。为了提高对地震和地表变形的认识,人们根据这些现象进行了许多研究。在本研究中,我们将使用Okada模型方程来估计表面变形。使用三颗不同波长卫星(ALOS-2、Cosmo SkyMed和Sentinel-1)的SAR图像生成干涉图对。通过使用Okada来确定地震期间发生的表面变形的来源,干涉图被用作表面变形变化的参考。在建模过程中,应用非线性优化(Levemberg-Marquart算法)和蒙特卡罗重启算法对故障参数进行了优化。根据每颗卫星数据的建模结果,断层几何结构长约6km,宽约2km,深约5km。Sentinel、CSK和ALOS的表面变形模型结果的均方根误差值分别为0.37cm、0.79cm和1.47cm。此外,该建模的结果可作为了解地震活动的学习材料,以最大限度地减少未来产生的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Estimated Source of 2017 Pohang Earthquake Using Surface Deformation Modeling Based on Multi-Frequency InSAR Data
An earthquake occurred on 17 November 2017 in Pohang, South Korea with a strength of 5.4 Mw. This is the second strongest earthquake recorded by local authorities since the equipment was first installed. In order to improve understanding of earthquakes and surface deformation, many studies have been conducted according to these phenomena. In this research, we will estimate the surface deformation using the Okada model equation. The SAR images of three satellites with different wavelengths (ALOS-2, Cosmo SkyMed and Sentinel-1) were used to produce the interferogram pairs. The interferogram is used as a reference for surface deformation changes by using Okada to determine the source of surface deformation that occurs during an earthquake. The Non-linear optimization (Levemberg-Marquadrt algorithm) and Monte Carlo restart was applied to optimize the fault parameter on modeling process. Based on the modeling results of each satellite data, the fault geometry is ~6 km length, ~2 km width and ~5 km depth. The root mean square error values in the surface deformation model results for Sentinel, CSK and ALOS are 0.37 cm, 0.79 cm and 1.47 cm, respectively. Furthermore, the results of this modeling can be used as learning material in understanding about seismic activity to minimize the impacts that arise in the future.
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遥感学报
遥感学报 Social Sciences-Geography, Planning and Development
CiteScore
3.60
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0.00%
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3200
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