ON INTERMEDIATE-TERM EARTHQUAKE PREDICTION IN CENTRAL ITALY

被引:20
|
作者
KEILISBOROK, VI
KUZNETSOV, IV
PANZA, GF
ROTWAIN, IM
COSTA, G
机构
[1] International Institute of Earthquake Prediction Theory and Mathematical Geophysics, Academy of Sciences of the U.S.S.R., Moscow, 113556, Warshavskoye, 79
[2] International Center for Earth and Environmental Sciences (ICS), Trieste
[3] Istituto di Geodesia e Geofisica, Universita degli Studi di Trieste, Trieste, 34123, Via dell'Universita
关键词
algorithm CN; Central Italy; earthquake prediction; Seismology; self-similarity;
D O I
10.1007/BF00878081
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
The Time of Increased Probability (TIP) for the occurrence of a strong earthquake is determined in Central Italy. This is done with an algorithm that has been successfully applied in other regions of the world (algorithm CN, from the initials of California and Nevada, where the first diagnoses of TIPs were made). The use of normalized functions allows direct application of the orginal algorithm to the new region being studied, without any ad hoc adjustment of the parameters. Retrospective analysis carried on until 1986 shows that TIPs occupy 26 percent of the total time considered and precede four out of five strong earthquakes. Forward monitoring indicates the possible existence of a TIP started in May 1988. Several tests indicate that the results obtained are quite stable, even when using catalogues from different agencies. Apart from obvious practical interest, this research is essential for the worldwide investigation of self-similarity in the origin of strong earthquakes. © 1990 Birkhäuser Verlag.
引用
收藏
页码:79 / 92
页数:14
相关论文
共 50 条
  • [31] Total sediment transport by the rivers of Abruzzi (Central Italy): Prediction with the RAIZAL model
    Farroni A.
    Magaldi D.
    Tallini M.
    Bulletin of Engineering Geology and the Environment, 2002, 61 (02) : 121 - 127
  • [32] Recovery and processing of hydrological and hydrogeochemical parameters for researches on earthquake short-term precursors in Italy
    Martinelli, G.
    Dadomo, A.
    Heinicke, J.
    Italiano, F.
    Petrini, R.
    Pierotti, L.
    Riggio, A.
    Santulin, M.
    Slejko, F. F.
    Tamaro, A.
    BOLLETTINO DI GEOFISICA TEORICA ED APPLICATA, 2015, 56 (02) : 115 - 128
  • [33] On Methods of Short-Term Earthquake Prediction Based on Monitoring the Hydrogeodeformation Field
    G. V. Kulikov
    S. V. Spector
    E. A. Rogozhin
    R. N. Lukashova
    A. I. Sysolin
    Izvestiya, Atmospheric and Oceanic Physics, 2019, 55 : 1715 - 1725
  • [34] Why is earthquake prediction research not progressing faster?
    Wyss, M
    TECTONOPHYSICS, 2001, 338 (3-4) : 217 - 223
  • [35] The Macroseismic Intensity Distribution of the 30 October 2016 Earthquake in Central Italy (Mw 6.6): Seismotectonic Implications
    Galli, Paolo
    Castenetto, Sergio
    Peronace, Edoardo
    TECTONICS, 2017, 36 (10) : 2179 - 2191
  • [36] Earthquake-induced landslides susceptibility evaluation: A case study from the Abruzzo region (Central Italy)
    Carabella, Cristiano
    Cinosi, Jacopo
    Piattelli, Valerio
    Burrato, Pierfrancesco
    Miccadei, Enrico
    CATENA, 2022, 208
  • [37] Source parameters of small and moderate earthquakes in the area of the 2009 L'Aquila earthquake sequence (central Italy)
    D'Amico, Sebastiano
    Orecchio, Barbara
    Presti, Debora
    Neri, Giancarlo
    Wu, Wen-Nan
    Sandu, Ilie
    Zhu, Lupei
    Herrmann, Robert B.
    PHYSICS AND CHEMISTRY OF THE EARTH, 2013, 63 : 77 - 91
  • [38] Rethinking earthquake prediction
    Sykes, LR
    Shaw, BE
    Scholz, CH
    PURE AND APPLIED GEOPHYSICS, 1999, 155 (2-4) : 207 - 232
  • [39] On numerical earthquake prediction
    Shi, Yaolin
    Zhang, Bei
    Zhang, Siqi
    Zhang, Huai
    EARTHQUAKE SCIENCE, 2014, 27 (03) : 319 - 335
  • [40] The ethics of earthquake prediction
    Ayhan Sol
    Halil Turan
    Science and Engineering Ethics, 2004, 10 : 655 - 666