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The 2017 Jiuzhaigou Earthquake Aftershock‐Monitoring Experimental Network: Network Design and Signal Enhancement Algorithm

2018; Seismological Society of America; Volume: 89; Issue: 5 Linguagem: Inglês

10.1785/0220180046

1938-2057

Han Yue, Yijian Zhou, Shiyong Zhou, Yilei Huang, Mingjia Li, Zhou Lu, Zhiqiang Liu,

earthquake and tectonic studies

Research Article| July 25, 2018 The 2017 Jiuzhaigou Earthquake Aftershock‐Monitoring Experimental Network: Network Design and Signal Enhancement Algorithm Han Yue; Han Yue aSchool of Earth and Space Sciences, Peking University, 5 Yiheyuan Road, Haidian, Beijing 100871, China Search for other works by this author on: GSW Google Scholar Yijian Zhou; Yijian Zhou aSchool of Earth and Space Sciences, Peking University, 5 Yiheyuan Road, Haidian, Beijing 100871, China Search for other works by this author on: GSW Google Scholar Shiyong Zhou; Shiyong Zhou aSchool of Earth and Space Sciences, Peking University, 5 Yiheyuan Road, Haidian, Beijing 100871, China Search for other works by this author on: GSW Google Scholar Yilei Huang; Yilei Huang aSchool of Earth and Space Sciences, Peking University, 5 Yiheyuan Road, Haidian, Beijing 100871, China Search for other works by this author on: GSW Google Scholar Mingjia Li; Mingjia Li aSchool of Earth and Space Sciences, Peking University, 5 Yiheyuan Road, Haidian, Beijing 100871, China Search for other works by this author on: GSW Google Scholar Lu Zhou; Lu Zhou bChengdu University of Technology, College of Geophysics, 1 Dongsan Lu, Erxianqiao, Chenghua District, Chengdu, China, yue.han@pku.edu.cnzsy@pku.edu.cn Search for other works by this author on: GSW Google Scholar Zhiqiang Liu Zhiqiang Liu bChengdu University of Technology, College of Geophysics, 1 Dongsan Lu, Erxianqiao, Chenghua District, Chengdu, China, yue.han@pku.edu.cnzsy@pku.edu.cn Search for other works by this author on: GSW Google Scholar Seismological Research Letters (2018) 89 (5): 1671–1679. https://doi.org/10.1785/0220180046 Article history first online: 25 Jul 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Search Site Citation Han Yue, Yijian Zhou, Shiyong Zhou, Yilei Huang, Mingjia Li, Lu Zhou, Zhiqiang Liu; The 2017 Jiuzhaigou Earthquake Aftershock‐Monitoring Experimental Network: Network Design and Signal Enhancement Algorithm. Seismological Research Letters 2018;; 89 (5): 1671–1679. doi: https://doi.org/10.1785/0220180046 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentBy SocietySeismological Research Letters Search Advanced Search ABSTRACT Microseismic activity is an important phenomenon to investigate the physical properties of fault systems. Detecting these weak signals requires high‐sensitivity seismic networks and noise suppression algorithms. High‐sensitivity networks generally require dense station coverage, high deployment effort, special field environment, and high funding cost, which are not suitable for rapid response for aftershock monitoring. To investigate aftershock activities of the 2017 Mw 6.5 Jiuzhaigou earthquake, we designed and deployed an experimental seismic network (September–December 2017) near the source region. This network design is named as array of small arrays (AsA), which is composed of nine small aperture subarrays; thus, waveform coherency within each subarray can be used to enhance seismic signals. We conducted a theoretical analysis of linearly stacking and geometric mean envelope (GME) weighting algorithms and found that the GME algorithm could significantly suppress impulsive noise signal present at a single station. We tested detection performance of different algorithms, including template matching, linear stacking, local similarity, and GME, with synthetic and real data. These tests show that the GME algorithm and local similarity outperforms other algorithms by more than 10% of detection completeness. The GME algorithm achieves similar detecting performance as the local similarity algorithm, although it has much higher calculation efficiency. Our preliminary test of detection performance shows that the AsA design and the GME algorithm serve as a promising and efficient approach to monitor microseismic signals. You do not currently have access to this article.