A Point-process Analysis of the Matsushiro Earthquake Swarm Sequence: The Effect of Water on Earthquake Occurrence

被引：0
|
作者：
Ritsuko S. Matsu’ura
Ikuo Karakama
机构：
[1] Association for the Development of Earthquake Prediction,Earthquake Research Center
来源：
pure and applied geophysics | 2005年 / 162卷
关键词：
Earthquake swarm; point-process analysis; ETAS; pore water;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Temporal characteristics of the famous Matsushiro earthquake swarm were investigated quantitatively using point-process analysis. Analysis of the earthquake occurrence rate revealed not only the precise and interesting process of the swarm, but also the relation between pore water pressure and the strength of the epidemic effect, and the modified Omori-type temporal decay of earthquake activity. The occurrence rate function λ(t) for this swarm is represented well as
引用
收藏
页码：1319 / 1345
页数：26
相关论文
共 50 条
  • [31] Multidimensional residual analysis of point process models for earthquake occurrences
    Schoenberg, FP
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2003, 98 (464) : 789 - 795
  • [32] The evolution process between the earthquake swarm beneath the Noto Peninsula, central Japan and the 2024 M 7.6 Noto Hanto earthquake sequence
    Zhigang Peng
    Xinglin Lei
    QingYu Wang
    Dun Wang
    Phuc Mach
    Dongdong Yao
    Aitaro Kato
    Kazushige Obara
    Michel Campillo
    Earthquake Research Advances, 2025, 5 (01) : 10 - 21
  • [33] Effect of Earthquake Magnitude on the Occurrence of Liquefaction
    Verdugo, Ramon
    Gonzalez, Javiera
    GEOTECHNICAL ENGINEERING IN THE XXI CENTURY: LESSONS LEARNED AND FUTURE CHALLENGES, 2019, : 2145 - 2153
  • [34] Failure models driven by a self-correcting point process in earthquake occurrence modeling
    Rotondi, R.
    Varini, E.
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 33 (03) : 709 - 724
  • [35] Failure models driven by a self-correcting point process in earthquake occurrence modeling
    R. Rotondi
    E. Varini
    Stochastic Environmental Research and Risk Assessment, 2019, 33 : 709 - 724
  • [36] STOCHASTIC POINT-PROCESS MODEL FOR OCCURRENCE OF MAJOR FREEZES IN LAKE CONSTANCE
    STEINIJANS, VW
    THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 1976, 25 (01): : 58 - 60
  • [37] Forecasting the 2016-2017 Central Apennines Earthquake Sequence With a Neural Point Process
    Stockman, Samuel
    Lawson, Daniel J.
    Werner, Maxmilian J.
    EARTHS FUTURE, 2023, 11 (09)
  • [38] Assessment of Point Process Models for Earthquake Forecasting
    Bray, Andrew
    Schoenberg, Frederic Paik
    STATISTICAL SCIENCE, 2013, 28 (04) : 510 - 520
  • [39] Magma intrusions and earthquake swarm occurrence in the western part of the Bohemian Massif
    Spicák, A
    Horálek, J
    Bousková, A
    Tomek, C
    Vanek, J
    STUDIA GEOPHYSICA ET GEODAETICA, 1999, 43 (01) : 87 - 106
  • [40] Magma Intrusions and Earthquake Swarm Occurrence in the Western Part of the Bohemian Massif
    A. Špičák
    J. Horálek
    A. Boušková
    Č. Tomek
    J. Vaněk
    Studia Geophysica et Geodaetica, 1999, 43 : 87 - 106
12345