The lineaments as one of the precursors of earthquakes: A case study of Tashkent geodynamical polygon in Uzbekistan

This work is to study earthquake precursors using lineament analysis of five MW3 earthquakes that occurred in 2018 on the territory of the Tashkent geodynamic polygon in Uzbekistan. The Landsat 8 satellite images were processed using the automated lineament detection method in the LEFA software. The...

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Autores principales:	Lola Sichugova, Dilbarkhon Fazilova
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2021
Materias:	Lineaments Earthquake Density Rose diagram Landsat 8 Geodesy QB275-343 Geophysics. Cosmic physics QC801-809
Acceso en línea:	https://doaj.org/article/3941bdde89be46f587b3bd324b610c18
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spelling	oai:doaj.org-article:3941bdde89be46f587b3bd324b610c182021-11-18T04:46:11ZThe lineaments as one of the precursors of earthquakes: A case study of Tashkent geodynamical polygon in Uzbekistan1674-984710.1016/j.geog.2021.08.002https://doaj.org/article/3941bdde89be46f587b3bd324b610c182021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1674984721000653https://doaj.org/toc/1674-9847This work is to study earthquake precursors using lineament analysis of five MW3 earthquakes that occurred in 2018 on the territory of the Tashkent geodynamic polygon in Uzbekistan. The Landsat 8 satellite images were processed using the automated lineament detection method in the LEFA software. The processing steps included image preprocessing with graphic filters, edge detection using Canny's algorithm, the definition of a vector of linear elements based on the probabilistic Hough transform and combining collinear linear elements into lineaments. The analysis of the cyclicity of precursors before and after earthquakes was based on the study of the distribution of the lineaments trend in the study area using rose diagrams and lineaments density maps. The results showed a change in the dynamics of the lineament structure. The statistical analysis of lineaments revealed that the number and orientation of lineaments changed significantly about 2–4 months before an earthquake, and after 2–3 months, the system gradually returned to its initial state. The rapid increase in lineaments density began almost 20 days before the event, reaching a maximum about 4 days before the earthquake, and its decrease began 16 days after the earthquake. The main trends observed in the lineament map showed dominant trends in NS, EW, and the subdominant directions were in NW–SE, NE–SW, which coincided with main directions of the faults.Lola SichugovaDilbarkhon FazilovaKeAi Communications Co., Ltd.articleLineamentsEarthquakeDensityRose diagramLandsat 8GeodesyQB275-343Geophysics. Cosmic physicsQC801-809ENGeodesy and Geodynamics, Vol 12, Iss 6, Pp 399-404 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Lineaments Earthquake Density Rose diagram Landsat 8 Geodesy QB275-343 Geophysics. Cosmic physics QC801-809
spellingShingle	Lineaments Earthquake Density Rose diagram Landsat 8 Geodesy QB275-343 Geophysics. Cosmic physics QC801-809 Lola Sichugova Dilbarkhon Fazilova The lineaments as one of the precursors of earthquakes: A case study of Tashkent geodynamical polygon in Uzbekistan
description	This work is to study earthquake precursors using lineament analysis of five MW3 earthquakes that occurred in 2018 on the territory of the Tashkent geodynamic polygon in Uzbekistan. The Landsat 8 satellite images were processed using the automated lineament detection method in the LEFA software. The processing steps included image preprocessing with graphic filters, edge detection using Canny's algorithm, the definition of a vector of linear elements based on the probabilistic Hough transform and combining collinear linear elements into lineaments. The analysis of the cyclicity of precursors before and after earthquakes was based on the study of the distribution of the lineaments trend in the study area using rose diagrams and lineaments density maps. The results showed a change in the dynamics of the lineament structure. The statistical analysis of lineaments revealed that the number and orientation of lineaments changed significantly about 2–4 months before an earthquake, and after 2–3 months, the system gradually returned to its initial state. The rapid increase in lineaments density began almost 20 days before the event, reaching a maximum about 4 days before the earthquake, and its decrease began 16 days after the earthquake. The main trends observed in the lineament map showed dominant trends in NS, EW, and the subdominant directions were in NW–SE, NE–SW, which coincided with main directions of the faults.
format	article
author	Lola Sichugova Dilbarkhon Fazilova
author_facet	Lola Sichugova Dilbarkhon Fazilova
author_sort	Lola Sichugova
title	The lineaments as one of the precursors of earthquakes: A case study of Tashkent geodynamical polygon in Uzbekistan
title_short	The lineaments as one of the precursors of earthquakes: A case study of Tashkent geodynamical polygon in Uzbekistan
title_full	The lineaments as one of the precursors of earthquakes: A case study of Tashkent geodynamical polygon in Uzbekistan
title_fullStr	The lineaments as one of the precursors of earthquakes: A case study of Tashkent geodynamical polygon in Uzbekistan
title_full_unstemmed	The lineaments as one of the precursors of earthquakes: A case study of Tashkent geodynamical polygon in Uzbekistan
title_sort	lineaments as one of the precursors of earthquakes: a case study of tashkent geodynamical polygon in uzbekistan
publisher	KeAi Communications Co., Ltd.
publishDate	2021
url	https://doaj.org/article/3941bdde89be46f587b3bd324b610c18
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The lineaments as one of the precursors of earthquakes: A case study of Tashkent geodynamical polygon in Uzbekistan

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