Strong-Earthquake-Prone Areas Recognition Based on an Algorithm with a Single Pure Training Class: I. Altai-Sayan-Baikal Region, M ≥ 6.0

被引：9

作者：

Dzeboev, B. A. ^{[1
,3
]}

Gvishiani, A. D. ^{[1
,2
]}

Belov, I. O. ^{[1
]}

Agayan, S. M. ^{[1
]}

Tatarinov, V. N. ^{[1
,2
]}

Barykina, Yu, V ^{[1
]}

机构：

[1] Russian Acad Sci, Geophys Ctr, Moscow 119296, Russia

[2] Russian Acad Sci, Schmidt Inst Phys Earth, Moscow 123242, Russia

[3] Russian Acad Sci, Vladikavkaz Sci Ctr, Geophys Inst, Vladikavkaz 362002, Russia

来源：

IZVESTIYA-PHYSICS OF THE SOLID EARTH | 2019年 / 55卷 / 04期

基金：

俄罗斯科学基金会;

关键词：

earthquake-prone areas; pattern recognition; EPA method; Kora-3 (Cora-3; Crust-3) algorithm; Barrier-3; algorithm; earthquake epicenter; seismic hazard assessment; mountainous country; GEOINFORMATICS;

D O I：

10.1134/S1069351319040050

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：

A new version of the Barrier algorithm is proposed for recognition of strong-earthquake prone regions based on training over a single reliable training class. The modification of the algorithm consists in creating blocks that reveal the geological-geophysical features (attributes) characteristic of the recognized highly seismic objects and provide their quantitative estimates. The recognition of the areas prone to earthquakes with M >= 6.0 is carried out for the Altai-Sayan-Baikal region. The results of the recognition are used for assessing the effect of the remote earthquakes that occurred in the Altai-Sayan orogenic region on the stability of structural-tectonic crustal blocks in the contact zone of the West Siberian platform and the Siberian plate.

引用

页码：563 / 575

页数：13

共 5 条

[1] Strong-Earthquake-Prone Areas Recognition Based on an Algorithm with a Single Pure Training Class: I. Altai–Sayan–Baikal Region, М ≥ 6.0
B. A. Dzeboev
A. D. Gvishiani
I. O. Belov
S. M. Agayan
V. N. Tatarinov
Yu. V. Barykina
Izvestiya, Physics of the Solid Earth, 2019, 55 : 563 - 575
[2] Recognition of Strong Earthquake Prone Areas in the Altai-Sayan-Baikal Region
Gorshkov, A. I.
Soloviev, A. A.
Zharkikh, Ju. I.
DOKLADY EARTH SCIENCES, 2018, 479 (01) : 412 - 414
[3] Recognition of earthquake-prone areas in the Altai-Sayan-Baikal region based on the morphostructural zoning
Gorshkov, A., I
Soloviev, A. A.
RUSSIAN JOURNAL OF EARTH SCIENCES, 2021, 21 (01):
[4] Recognition of Strong Earthquake Prone Areas in the Altai–Sayan–Baikal Region
A. I. Gorshkov
A. A. Soloviev
Ju. I. Zharkikh
Doklady Earth Sciences, 2018, 479 : 412 - 414
[5] Strong earthquake-prone areas recognition based on the algorithm with a single pure training class. II. Caucasus, M ≥ 6.0. Variable EPA method
Dzeboev, B. A.
Soloviev, A. A.
Dzeranov, B. V.
Karapetyan, J. K.
Sergeeva, N. A.
RUSSIAN JOURNAL OF EARTH SCIENCES, 2019, 19 (06):

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