Application of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide

On October 11 and November 3, 2018, the disaster chain of landslide-barrier lake occurred twice in Baige Village, Xizang Province. After the second sliding of the landslide, the danger of the landslide dam was eliminated by the manual excavation of the drain grooves. During this period, a ground-bas...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xu Wei, Feng Wenkai
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/6ef8e04b0a474d619f2e663debe82ba5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:6ef8e04b0a474d619f2e663debe82ba5
record_format	dspace
spelling	oai:doaj.org-article:6ef8e04b0a474d619f2e663debe82ba52021-11-08T02:35:22ZApplication of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide1563-514710.1155/2021/2060311https://doaj.org/article/6ef8e04b0a474d619f2e663debe82ba52021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2060311https://doaj.org/toc/1563-5147On October 11 and November 3, 2018, the disaster chain of landslide-barrier lake occurred twice in Baige Village, Xizang Province. After the second sliding of the landslide, the danger of the landslide dam was eliminated by the manual excavation of the drain grooves. During this period, a ground-based interferometric synthetic aperture radar (GB-InSAR) called “S-SAR” was utilized for real-time monitoring and analyzing 48 selected target pixels on the residual deformation bodies of landslides (divided into K1, K2, and K3 deformation zones) for 8 days. Through the real-time deformation map of pixels in the monitoring area obtained by S-SAR, the ranges of five strong deformation regions were identified and delineated. Based on the apparent cumulative deformation-time curve of each target pixel, the overall deformation law of K1, K2, and K3 deformation zones could be monitored and analyzed in real time. Based on a curve graph of the deformation rate, acceleration, and time of each target pixel, the K1, K2, and K3 deformation zones were within a uniform deformation stage. Taking the target pixel point and the corresponding time in which the deformation rate and deformation acceleration had a large, abrupt jump at the same time as the position and time of the near-slip failure, the 11 positions and moments of the near-slip failure were counted. The results presented here may represent a workable reference for emergency monitoring and early warning of similar sudden geological disasters.Xu WeiFeng WenkaiHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Xu Wei Feng Wenkai Application of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide
description	On October 11 and November 3, 2018, the disaster chain of landslide-barrier lake occurred twice in Baige Village, Xizang Province. After the second sliding of the landslide, the danger of the landslide dam was eliminated by the manual excavation of the drain grooves. During this period, a ground-based interferometric synthetic aperture radar (GB-InSAR) called “S-SAR” was utilized for real-time monitoring and analyzing 48 selected target pixels on the residual deformation bodies of landslides (divided into K1, K2, and K3 deformation zones) for 8 days. Through the real-time deformation map of pixels in the monitoring area obtained by S-SAR, the ranges of five strong deformation regions were identified and delineated. Based on the apparent cumulative deformation-time curve of each target pixel, the overall deformation law of K1, K2, and K3 deformation zones could be monitored and analyzed in real time. Based on a curve graph of the deformation rate, acceleration, and time of each target pixel, the K1, K2, and K3 deformation zones were within a uniform deformation stage. Taking the target pixel point and the corresponding time in which the deformation rate and deformation acceleration had a large, abrupt jump at the same time as the position and time of the near-slip failure, the 11 positions and moments of the near-slip failure were counted. The results presented here may represent a workable reference for emergency monitoring and early warning of similar sudden geological disasters.
format	article
author	Xu Wei Feng Wenkai
author_facet	Xu Wei Feng Wenkai
author_sort	Xu Wei
title	Application of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide
title_short	Application of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide
title_full	Application of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide
title_fullStr	Application of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide
title_full_unstemmed	Application of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide
title_sort	application of slope radar (s-sar) in emergency monitoring of the “11.03” baige landslide
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/6ef8e04b0a474d619f2e663debe82ba5
work_keys_str_mv	AT xuwei applicationofsloperadarssarinemergencymonitoringofthe1103baigelandslide AT fengwenkai applicationofsloperadarssarinemergencymonitoringofthe1103baigelandslide
_version_	1718443194764492800

Application of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide

Ejemplares similares