Differential Interferometric Synthetic Aperture Radar data for more accurate earthquake catalogs

被引:15
|
作者
Zhu, Chuanhua [1 ,2 ,3 ,4 ,6 ]
Wang, Chisheng [1 ,2 ,3 ,4 ]
Zhang, Bochen [1 ,2 ,3 ,5 ]
Qin, Xiaoqiong [1 ,2 ,3 ,4 ]
Shan, Xinjian [6 ]
机构
[1] Shenzhen Univ, Minist Nat Resources MNR, Key Lab Geoenvironm Monitoring Great Bay Area, Shenzhen 518000, Peoples R China
[2] Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen 518000, Peoples R China
[3] Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518000, Peoples R China
[4] Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518000, Peoples R China
[5] Shenzhen Univ, Coll Civil & Transportat Engn, Shenzhen 518000, Peoples R China
[6] China Earthquake Adm, State Key Lab Earthquake Dynam, Inst Geol, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
InSAR earthquake catalog; Source parameter comparison; Unified catalog; Sharing system; PLATE-BOUNDARY; FAULT SLIP; HYPOCENTER LOCATION; SURFACE DEFORMATION; UNIFIED CATALOG; INSAR; INVERSION; GPS; MODELS; ERRORS;
D O I
10.1016/j.rse.2021.112690
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The accuracy of earthquake catalogs limits the reliability of earthquake hazard assessment and the comprehensive understanding of earthquake mechanisms. Current seismic catalogs are based on the inversion of seismic wave data. The accuracy of their source parameters, which reflect the quantity and layout of seismic stations, and the crustal velocity model used, are often highly uncertain. The open source and popularization of Interferometric Synthetic Aperture Radar (InSAR) deformation data offer the potential to provide more accurate source parameters for earthquake catalogs. In this study, we used same-source InSAR data and a consistent processing approach (i.e., the same sampling, inversion algorithm, and processing flow) to obtain the fault slip models and source parameters of 56 earthquakes, covering most of earthquakes observed by the Sentinel-1 since 2014; these were then used to form a unified InSAR earthquake catalog (U-InSAR). We then compiled a second InSAR earthquake catalog (C-InSAR) based on the source parameters of an additional 164 earthquakes inverted using InSAR deformation data from various sources by previous studies, among which 45 earthquakes included additional Global Navigation Satellite System (GNSS) data. The C-InSAR catalog was used to evaluate the impact of data sources and processing approach on the consistency of InSAR catalogs; we found no significant differences between the U-and C-InSAR catalogs. Secondly, the combined U-and C-InSAR catalogs were compared with seismological catalogs, and showed significantly improved seismic source locations, depths, moment magnitudes, fault strikes, fault dips, and fault rakes. Our results confirm the rationality and feasibility of constructing earthquake catalogs using source parameters from a variety of InSAR data sources and inversion algorithms. We emphasize that InSAR catalogs can provide an important supplement, improvement, and/or correction to seismological catalogs, and can provide important basic data for more refined and reliable research on earthquake mechanisms and hazard assessments. Finally, we set up a preliminary sharing and distribution system for InSAR-based catalogs.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Resolving vertical and east-west horizontal motion from differential interferometric synthetic aperture radar: The L'Aquila earthquake
    Dalla Via, G.
    Crosetto, M.
    Crippa, B.
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2012, 117
  • [2] Fault model of the 2017 Jiuzhaigou Mw 6.5 earthquake estimated from coseismic deformation observed using Global Positioning System and Interferometric Synthetic Aperture Radar data
    Nie, Zhaosheng
    Wang, Di-Jin
    Jia, Zhige
    Yu, Pengfei
    Li, Liangfa
    EARTH PLANETS AND SPACE, 2018, 70
  • [3] Parallel Optimization for Large Scale Interferometric Synthetic Aperture Radar Data Processing
    Zhang, Weikang
    You, Haihang
    Wang, Chao
    Zhang, Hong
    Tang, Yixian
    REMOTE SENSING, 2023, 15 (07)
  • [4] Error Sources of Interferometric Synthetic Aperture Radar Satellites
    Wu, Yen-Yi
    Madson, Austin
    REMOTE SENSING, 2024, 16 (02)
  • [5] Fault Kinematics of the 2023 Mw 6.0 Jishishan Earthquake, China, Characterized by Interferometric Synthetic Aperture Radar Observations
    Huang, Xing
    Li, Yanchuan
    Shan, Xinjian
    Zhong, Meijiao
    Wang, Xuening
    Gao, Zhiyu
    REMOTE SENSING, 2024, 16 (10)
  • [6] Heterogeneous Fault Mechanisms of the 6 October 2008 MW 6.3 Dangxiong (Tibet) Earthquake Using Interferometric Synthetic Aperture Radar Observations
    Xu, Caijun
    Xu, Bei
    Wen, Yangmao
    Liu, Yang
    REMOTE SENSING, 2016, 8 (03)
  • [7] EVALUATION OF INTERPOLATION METHODS FOR GEONET DATA USED IN INTERFEROMETRIC SYNTHETIC APERTURE RADAR
    Asaka, Tomohito
    Nonaka, Takashi
    Sugimura, Toshiro
    Iwashita, Keishi
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 2892 - 2895
  • [8] Variance component adaptive estimation algorithm for coseismic slip distribution inversion using interferometric synthetic aperture radar data
    Zhao, Yingwen
    Xu, Caijun
    Wen, Yangmao
    JOURNAL OF GEODESY, 2024, 98 (06)
  • [9] A Review on Latest Interferometric Synthetic Aperture Radar Researches
    Jiao Ming-lian
    2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 4, PROCEEDINGS, 2009, : 387 - 390
  • [10] 4-Dimensional Imaging from Interferometric Synthetic Aperture Radar
    Zebker, Howard A.
    2016 IEEE INTERNATIONAL SYMPOSIUM ON PHASED ARRAY SYSTEMS AND TECHNOLOGY (PAST), 2016,