Recognition of Strong Earthquake Prone Areas in the Altai-Sayan-Baikal Region

被引：9
|
作者：
Gorshkov, A. I. [1 ,2 ]
Soloviev, A. A. [1 ,2 ]
Zharkikh, Ju. I. [2 ]
机构：
[1] Russian Acad Sci, Inst Earthquake Predict Theory & Math Geophys, Moscow, Russia
[2] Russian Acad Sci, Geophys Ctr, Moscow, Russia
来源：
DOKLADY EARTH SCIENCES | 2018年 / 479卷 / 01期
基金：
俄罗斯科学基金会;
关键词：
D O I：
10.1134/S1028334X1803025X
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
The locations of areas prone to strong earthquakes (M ae> 6.0) in the Altai-Sayan-Baikal region are determined. Based on a scheme of morphostructural zoning of the region and by using the CORA-3 pattern recognition algorithm, all intersections of morphostructural lineaments are separated into two classes: the highly seismic intersections in the vicinities of which strong earthquakes can occur and low seismic in the vicinities of which only earthquakes with M < 6.0 are possible. Recognition was performed for the vectors the components of which were measured values of the geological-geophysical characteristics describing the respective intersection. The result obtained allows the zones of high seismic hazard to be identified more reliably in the region.
引用
收藏
页码：412 / 414
页数：3
相关论文
共 50 条
  • [21] Earthquake hazard and risk assessment based on unified scaling law for earthquakes: Altai–Sayan Region
    Vladimir G. Kossobokov
    Anastasia K. Nekrasova
    Natural Hazards, 2018, 93 : 1435 - 1449
  • [22] PATTERN-RECOGNITION OF EARTHQUAKE PRONE AREAS IN ITALY
    KEILIS, V
    CAPUTO, M
    OFICEROVA, V
    RANZMAN, E
    ROTWAIN, I
    SOLOVJEV, A
    TRANSACTIONS-AMERICAN GEOPHYSICAL UNION, 1978, 59 (04): : 330 - 330
  • [23] INTERPRETATION OF THE RESULTS ON RECOGNITION OF EARTHQUAKE-PRONE AREAS
    GVISHIANI, AD
    KOSOBOKOV, VG
    IZVESTIYA AKADEMII NAUK SSSR FIZIKA ZEMLI, 1981, (02): : 21 - 36
  • [24] Refining the Calibration Functions for Determining Local Earthquake Magnitudes of The Altai-Sayan Mountain Region
    A. G. Filina
    A. V. Durachenko
    N. A. Galeva
    Seismic Instruments, 2020, 56 : 353 - 363
  • [25] Refining the Calibration Functions for Determining Local Earthquake Magnitudes of The Altai-Sayan Mountain Region
    Filina, A. G.
    Durachenko, A. V.
    Galeva, N. A.
    SEISMIC INSTRUMENTS, 2020, 56 (03) : 353 - 363
  • [26] Earthquake hazard and risk assessment based on unified scaling law for earthquakes: Altai-Sayan Region
    Kossobokov, Vladimir G.
    Nekrasova, Anastasia K.
    NATURAL HAZARDS, 2018, 93 (03) : 1435 - 1449
  • [27] Recognition of earthquake-prone areas: Methodology and analysis of the results
    Soloviev, A. A.
    Gvishiani, A. D.
    Gorshkov, A. I.
    Dobrovolsky, M. N.
    Novikova, O. V.
    IZVESTIYA-PHYSICS OF THE SOLID EARTH, 2014, 50 (02) : 151 - 168
  • [28] PATTERN-RECOGNITION OF EARTHQUAKE-PRONE AREAS IN ITALY
    CAPUTO, M
    KEILISBOROK, V
    OFICEROVA, E
    RANZMAN, E
    ROTWAIN, I
    SOLOVJEFF, A
    PHYSICS OF THE EARTH AND PLANETARY INTERIORS, 1980, 21 (04) : 305 - 320
  • [29] A DUAL APPROACH TO RECOGNITION OF EARTHQUAKE PRONE AREAS IN THE WESTERN ALPS
    CISTERNAS, A
    GODEFROY, P
    GVISHIANI, A
    GORSHKOV, AI
    KOSOBOKOV, V
    LAMBERT, M
    RANZMAN, E
    SALLANTIN, J
    SOLDANO, H
    SOLOVIEV, A
    WEBER, C
    ANNALES GEOPHYSICAE, 1985, 3 (02): : 249 - 270
  • [30] Recognition of Earthquake-Prone Areas in the Himalaya: Validity of the Results
    Gorshkov, A.
    Parvez, I. A.
    Novikova, O.
    INTERNATIONAL JOURNAL OF GEOPHYSICS, 2012, 2012
12345