Analyzing the 2020 Mw 6.4 Puerto Rico Earthquake Sequence Based on the Epidemic-Type Aftershock Sequence Model

被引:2
|
作者
Li, Yuanhui [1 ]
Pu, Wuchuan [1 ]
机构
[1] Wuhan Univ Technol, Sch Civil Engn & Architecture, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
MAGNITUDE; ETAS; COMPLETENESS; CATALOGS;
D O I
10.1785/0220210217
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
On 7 January 2020, an Mw 6.4 earthquake occurred on the southwest coast of Puerto Rico, causing severe infrastructure damage and economic property losses. Accompanied with the mainshock, a large number of aftershocks occurred. For investigating the seismological activities, the earthquake sequence is fitted using the ETAS (epidemic-type aftershock sequence) model, based on a seismic catalog with 360 days in the region. The background intensity and the triggered intensity of the sequence are compared, and the variation trend of the parameters of the seismic catalog under different cut-off times are analyzed. Results show that the seismicity has been significantly enhanced during this event. Within 40 days after the mainshock, the background intensity reached the maximum value of 7.26 events/day, while the value is 0.013 events/day before the mainshock. The sequence may be clustered. Both large-magnitude earthquakes and small-magnitude earthquakes are likely to trigger secondary aftershocks. The spatial attenuation of the triggered intensity gradually becomes faster.
引用
收藏
页码:609 / 619
页数:11
相关论文
共 50 条
  • [1] A random effects epidemic-type aftershock sequence model
    Lin, Feng-Chang
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2011, 55 (04) : 1610 - 1616
  • [2] Preface to the SRL Focus Section on the 2020 Southwestern Puerto Rico Mw 6.4 Earthquake and Seismic Sequence
    Vanacore, Elizabeth
    Andrade, Christa von Hillebrandt
    McNamara, Daniel Edward
    SEISMOLOGICAL RESEARCH LETTERS, 2022, 93 (2A) : 531 - 532
  • [3] Geotechnical Impacts of the January 7, 2020, Mw 6.4 Puerto Rico Earthquake and Associated Seismic Sequence
    Morales-Velez, Alesandra C.
    Hughes, K. Stephen
    GEO-EXTREME 2021: CASE HISTORIES AND BEST PRACTICES, 2021, 328 : 471 - 483
  • [4] Hazard Model: Epidemic-Type Aftershock Sequence (ETAS) Model for Hungary
    Szabo, Peter
    Toth, Laszlo
    Cerda-Belmonte, Judith
    APPLIED SCIENCES-BASEL, 2023, 13 (05):
  • [5] A combining earthquake forecasting model between deep learning and epidemic-type aftershock sequence (ETAS) model
    Zhang, Haoyuan
    Ke, Shuya
    Liu, Wenqi
    Zhang, Yongwen
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2024, 239 (03) : 1545 - 1556
  • [6] Predictability in the epidemic-type aftershock sequence model of interacting triggered seismicity
    Helmstetter, A
    Sornette, D
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2003, 108 (B10)
  • [7] Declustering of Iran earthquake catalog (1983–2017) using the epidemic-type aftershock sequence (ETAS) model
    Nader Davoudi
    Hamid Reza Tavakoli
    Mehdi Zare
    Abdollah Jalilian
    Acta Geophysica, 2018, 66 : 1359 - 1373
  • [8] Distribution of the largest event in the critical epidemic-type aftershock-sequence model
    Vere-Jones, David
    Zhuang, Jiancang
    PHYSICAL REVIEW E, 2008, 78 (04):
  • [9] Hybrid kernel estimates of space–time earthquake occurrence rates using the epidemic-type aftershock sequence model
    Giada Adelfio
    Yosihiko Ogata
    Annals of the Institute of Statistical Mathematics, 2010, 62 : 127 - 143
  • [10] Declustering of Iran earthquake catalog (1983-2017) using the epidemic-type aftershock sequence (ETAS) model
    Davoudi, Nader
    Tavakoli, Hamid Reza
    Zare, Mehdi
    Jalilian, Abdollah
    ACTA GEOPHYSICA, 2018, 66 (06) : 1359 - 1373