Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides

Landslide processes are a consequence of the interactions between their triggers and the surrounding environment. Understanding the differences in landslide movement processes and characteristics can provide new insights for landslide prevention and mitigation. Three adjacent landslides characterize...

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Autores principales:	Dongdong Yang, Haijun Qiu, Yaru Zhu, Zijing Liu, Yanqian Pei, Shuyue Ma, Chi Du, Hesheng Sun, Ya Liu, Mingming Cao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	landslides evolution landslide trigger landslide InSAR Science Q
Acceso en línea:	https://doaj.org/article/abe3c5c964d64d3e88c984782b219663
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id	oai:doaj.org-article:abe3c5c964d64d3e88c984782b219663
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spelling	oai:doaj.org-article:abe3c5c964d64d3e88c984782b2196632021-11-25T18:54:31ZLandslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides10.3390/rs132245792072-4292https://doaj.org/article/abe3c5c964d64d3e88c984782b2196632021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4579https://doaj.org/toc/2072-4292Landslide processes are a consequence of the interactions between their triggers and the surrounding environment. Understanding the differences in landslide movement processes and characteristics can provide new insights for landslide prevention and mitigation. Three adjacent landslides characterized by different movement processes were triggered from August to September in 2018 in Hualong County, China. A combination of surface and subsurface characteristics illustrated that Xiongwa (XW) landslides 1 and 2 have deformed several times and exhibit significant heterogeneity, whereas the Xiashitang (XST) landslide is a typical retrogressive landslide, and its material has moved downslope along a shear surface. Time-series Interferometric Synthetic Aperture Radar (InSAR) and Differential InSAR (DInSAR) techniques were used to detect the displacement processes of these three landslides. The pre-failure displacement signals of a slow-moving landslide (the XST landslide) can be clearly revealed by using time-series InSAR. However, these sudden landslides, which are a typical catastrophic natural hazard across the globe, are easily ignored by time-series InSAR. We confirmed that effective antecedent precipitation played an important role in the three landslides’ occurrence. The deformation of an existing landslide itself can also trigger new adjacent landslides in this study. These findings indicate that landslide early warnings are still a challenge since landslide processes and mechanisms are complicated. We need to learn to live with natural disasters, and more relevant detection and field investigations should be conducted for landslide risk mitigation.Dongdong YangHaijun QiuYaru ZhuZijing LiuYanqian PeiShuyue MaChi DuHesheng SunYa LiuMingming CaoMDPI AGarticlelandslidesevolutionlandslide trigger landslideInSARScienceQENRemote Sensing, Vol 13, Iss 4579, p 4579 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	landslides evolution landslide trigger landslide InSAR Science Q
spellingShingle	landslides evolution landslide trigger landslide InSAR Science Q Dongdong Yang Haijun Qiu Yaru Zhu Zijing Liu Yanqian Pei Shuyue Ma Chi Du Hesheng Sun Ya Liu Mingming Cao Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides
description	Landslide processes are a consequence of the interactions between their triggers and the surrounding environment. Understanding the differences in landslide movement processes and characteristics can provide new insights for landslide prevention and mitigation. Three adjacent landslides characterized by different movement processes were triggered from August to September in 2018 in Hualong County, China. A combination of surface and subsurface characteristics illustrated that Xiongwa (XW) landslides 1 and 2 have deformed several times and exhibit significant heterogeneity, whereas the Xiashitang (XST) landslide is a typical retrogressive landslide, and its material has moved downslope along a shear surface. Time-series Interferometric Synthetic Aperture Radar (InSAR) and Differential InSAR (DInSAR) techniques were used to detect the displacement processes of these three landslides. The pre-failure displacement signals of a slow-moving landslide (the XST landslide) can be clearly revealed by using time-series InSAR. However, these sudden landslides, which are a typical catastrophic natural hazard across the globe, are easily ignored by time-series InSAR. We confirmed that effective antecedent precipitation played an important role in the three landslides’ occurrence. The deformation of an existing landslide itself can also trigger new adjacent landslides in this study. These findings indicate that landslide early warnings are still a challenge since landslide processes and mechanisms are complicated. We need to learn to live with natural disasters, and more relevant detection and field investigations should be conducted for landslide risk mitigation.
format	article
author	Dongdong Yang Haijun Qiu Yaru Zhu Zijing Liu Yanqian Pei Shuyue Ma Chi Du Hesheng Sun Ya Liu Mingming Cao
author_facet	Dongdong Yang Haijun Qiu Yaru Zhu Zijing Liu Yanqian Pei Shuyue Ma Chi Du Hesheng Sun Ya Liu Mingming Cao
author_sort	Dongdong Yang
title	Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides
title_short	Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides
title_full	Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides
title_fullStr	Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides
title_full_unstemmed	Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides
title_sort	landslide characteristics and evolution: what we can learn from three adjacent landslides
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/abe3c5c964d64d3e88c984782b219663
work_keys_str_mv	AT dongdongyang landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides AT haijunqiu landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides AT yaruzhu landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides AT zijingliu landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides AT yanqianpei landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides AT shuyuema landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides AT chidu landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides AT heshengsun landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides AT yaliu landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides AT mingmingcao landslidecharacteristicsandevolutionwhatwecanlearnfromthreeadjacentlandslides
_version_	1718410611366297600

Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides

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