MAO Hongfei, XIE Lei, JIANG Kun, SUN Kai, WANG Jiageng, XU Wenbin. Source Parameter Inversion of Moderate to Strong Earthquakes and Its Comparison with Earthquake Catalogs in Tibetan Plateau based on InSAR Observations[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240124
Citation: MAO Hongfei, XIE Lei, JIANG Kun, SUN Kai, WANG Jiageng, XU Wenbin. Source Parameter Inversion of Moderate to Strong Earthquakes and Its Comparison with Earthquake Catalogs in Tibetan Plateau based on InSAR Observations[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240124

Source Parameter Inversion of Moderate to Strong Earthquakes and Its Comparison with Earthquake Catalogs in Tibetan Plateau based on InSAR Observations

More Information
  • Received Date: June 02, 2024
  • Available Online: June 24, 2024
  • Objectives: Synthetic aperture radar interferometry (InSAR) is capable of high spatial resolution and deformation monitoring accuracy. It can effectively constrain the source parameter of moderate shallow earthquakes. Methods: In this study, using InSAR phase stacking and the Bayesion inversion methods, we construct the source parameters catalog for 42 moderate to strong(Mw 4.8-6.6) earthquakes that occurred in the shallow crust of the Tibetan Plateau from October 2014 to October 2022 . Results: The results demonstrate that the InSAR-derived depth location is shallower than the centroid depth recorded in general seismic catalogs. The location of the epicenter of the Global Centroid Moment Tensor (GCMT) catalog is systematically biased. It also reveals the result of InSAR inversion can express the geometry of fault more precisely. Conclusions: The study shows that the InSAR-derived catalog is a significant supplement to the existing global catalog and can improve empirical scale relationships, facilitating scientific reference for regional seismic risk assessment.
  • Related Articles

    [1]HUANG Bohua, YANG Bohang, LI Minggui, GUO Zhongkai, MAO Jianyou, WANG Hong. An Improved Method for MAD Gross Error Detection of Clock Error[J]. Geomatics and Information Science of Wuhan University, 2022, 47(5): 747-752. DOI: 10.13203/j.whugis20190430
    [2]WANG Leyang, GU Wangwang, ZHAO Xiong, XU Guangyu, GAO Hua. Determination of Relative Weight Ratio of Joint Inversion Using Bias-Corrected Variance Component Estimation Method[J]. Geomatics and Information Science of Wuhan University, 2022, 47(4): 508-516. DOI: 10.13203/j.whugis20200216
    [3]IA Lei, LAI Zulong, MEI Changsong, JIAO Chenchen, JIANG Ke, PAN Xiong. An Improved Algorithm for Real-Time Cycle Slip Detection and Repair Based on TurboEdit Epoch Difference Model[J]. Geomatics and Information Science of Wuhan University, 2021, 46(6): 920-927. DOI: 10.13203/j.whugis20190287
    [4]ZHAO Jianhu, WU Jingwen, ZHAO Xinglei, ZHOU Fengnian. A Correction Model for Depth Bias in Airborne LiDAR Bathymetry Systems[J]. Geomatics and Information Science of Wuhan University, 2019, 44(3): 328-333. DOI: 10.13203/j.whugis20160481
    [5]LU Tieding, YANG Yuanxi, ZHOU Shijian. Comparative Analysis of MDB for Different Outliers Detection Methods[J]. Geomatics and Information Science of Wuhan University, 2019, 44(2): 185-192, 199. DOI: 10.13203/j.whugis20140330
    [6]LOU Yidong, GONG Xiaopeng, GU Shengfeng, ZHENG Fu, YI Wenting. The Characteristic and Effect of Code Bias Variations of BeiDou[J]. Geomatics and Information Science of Wuhan University, 2017, 42(8): 1040-1046. DOI: 10.13203/j.whugis20150107
    [7]SUN Wenchuan, BAO Jingyang, JIN Shaohua, XIAO Fumin, ZHANG Zhiwei. A Re-calibration Method for Roll Bias of Multi-beam Sounding System[J]. Geomatics and Information Science of Wuhan University, 2016, 41(11): 1440-1444. DOI: 10.13203/j.whugis20140481
    [8]ZOU Qin, LI Qingquan. Target-points MST for Pavement Crack Detection[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 71-75.
    [9]HUANG Xianyuan, ZHAI Guojun, SUI Lifen, HUANG Motao. Application of Least Square Support Vector Machine to Detecting Outliers of Multi-beam Data[J]. Geomatics and Information Science of Wuhan University, 2010, 35(10): 1188-1191.
    [10]XU Caijun, WANG Jianglin. Linear Minimum Mean Square Error Estimation for Wet Delay Correction in SAR Interferogram[J]. Geomatics and Information Science of Wuhan University, 2007, 32(9): 757-760.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return