Two-dimensional deformation monitoring for spatiotemporal evolution and failure mode of Lashagou landslide group, Northwest China
The Lashagou landslide group in Gansu Province, China, is a typical shallow loess landslide group caused by artificial slope cutting. In April 2018, local sliding of the landslide group damaged houses and blocked the G310 highway, leading to the relocation of the Lashagou village, which aroused wide...
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| Veröffentlicht in: | Landslides 2023-02, Vol.20 (2), p.447-459 |
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| creator | Zhang, Shuangcheng Fan, Qianyou Niu, Yufen Qiu, Shican Si, Jinzhao Feng, Yihang Zhang, Shengqiu Song, Zhiwei Li, Zhenhong |
| description | The Lashagou landslide group in Gansu Province, China, is a typical shallow loess landslide group caused by artificial slope cutting. In April 2018, local sliding of the landslide group damaged houses and blocked the G310 highway, leading to the relocation of the Lashagou village, which aroused widespread concern. Unfortunately, the spatiotemporal displacement characteristics and failure modes of the landslide remain unknown. In this study, a method for the estimation of two-dimensional deformation of landslides, based on the local parallel flow model, was presented. This method only needs two orbital synthetic aperture radar (SAR) images with different imaging geometries, and has high accuracy verified by global satellite navigation system (GNSS) observations. In practice, we first obtained the surface velocity and time series deformation of the ascending and descending orbits. The best-fit sliding direction and inclination of the landslide movement were then inverted by combining satellite imaging geometry and surface velocity. Furthermore, the two-dimensional deformation of the Lashagou landslide group in the sliding and normal directions was obtained. We found that the landslide was in the accelerated deformation stage during the wet season and the deformation was mainly concentrated in the northern part of the Lashagou village. The snowmelt and continuous rainfall were the main factors in the landslide deformation. In addition, the landslide surface displacement characteristics and deep stress states can be linked using a combination of two-dimensional deformation, combined deformation, and inclination, which provides evidence that landslide movement is controlled by one or more deep continuous structural planes. Our research shows that the two-dimensional deformation retrieval method can be applied to gravity-driven translational landslides to help prevent and mitigate landslide hazards. |
| doi_str_mv | 10.1007/s10346-022-01979-4 |
| format | Article |
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In April 2018, local sliding of the landslide group damaged houses and blocked the G310 highway, leading to the relocation of the Lashagou village, which aroused widespread concern. Unfortunately, the spatiotemporal displacement characteristics and failure modes of the landslide remain unknown. In this study, a method for the estimation of two-dimensional deformation of landslides, based on the local parallel flow model, was presented. This method only needs two orbital synthetic aperture radar (SAR) images with different imaging geometries, and has high accuracy verified by global satellite navigation system (GNSS) observations. In practice, we first obtained the surface velocity and time series deformation of the ascending and descending orbits. The best-fit sliding direction and inclination of the landslide movement were then inverted by combining satellite imaging geometry and surface velocity. Furthermore, the two-dimensional deformation of the Lashagou landslide group in the sliding and normal directions was obtained. We found that the landslide was in the accelerated deformation stage during the wet season and the deformation was mainly concentrated in the northern part of the Lashagou village. The snowmelt and continuous rainfall were the main factors in the landslide deformation. In addition, the landslide surface displacement characteristics and deep stress states can be linked using a combination of two-dimensional deformation, combined deformation, and inclination, which provides evidence that landslide movement is controlled by one or more deep continuous structural planes. Our research shows that the two-dimensional deformation retrieval method can be applied to gravity-driven translational landslides to help prevent and mitigate landslide hazards.</description><identifier>ISSN: 1612-510X</identifier><identifier>EISSN: 1612-5118</identifier><identifier>DOI: 10.1007/s10346-022-01979-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agriculture ; Civil Engineering ; Deformation ; Earth and Environmental Science ; Earth Sciences ; Failure modes ; Geography ; Geological hazards ; Geometric accuracy ; Global navigation satellite system ; Gravity ; Hazard mitigation ; Imaging techniques ; Inclination ; Landslides ; Landslides & mudslides ; Loess ; Methods ; Natural Hazards ; Navigation ; Navigation systems ; Parallel flow ; Radar imaging ; Rainfall ; Rainy season ; Relocation ; SAR (radar) ; Satellite imagery ; Satellite navigation ; Satellite navigation systems ; Satellite observation ; Sliding ; Slumping ; Snowmelt ; Surface velocity ; Synthetic aperture radar ; Technical Note ; Velocity ; Villages ; Wet season</subject><ispartof>Landslides, 2023-02, Vol.20 (2), p.447-459</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-d23b829bed62f3903c3efdd0f9a4bb0ed3e7dbbb95f33a11a763479632a959eb3</citedby><cites>FETCH-LOGICAL-c319t-d23b829bed62f3903c3efdd0f9a4bb0ed3e7dbbb95f33a11a763479632a959eb3</cites><orcidid>0000-0002-8960-2635</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10346-022-01979-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10346-022-01979-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Zhang, Shuangcheng</creatorcontrib><creatorcontrib>Fan, Qianyou</creatorcontrib><creatorcontrib>Niu, Yufen</creatorcontrib><creatorcontrib>Qiu, Shican</creatorcontrib><creatorcontrib>Si, Jinzhao</creatorcontrib><creatorcontrib>Feng, Yihang</creatorcontrib><creatorcontrib>Zhang, Shengqiu</creatorcontrib><creatorcontrib>Song, Zhiwei</creatorcontrib><creatorcontrib>Li, Zhenhong</creatorcontrib><title>Two-dimensional deformation monitoring for spatiotemporal evolution and failure mode of Lashagou landslide group, Northwest China</title><title>Landslides</title><addtitle>Landslides</addtitle><description>The Lashagou landslide group in Gansu Province, China, is a typical shallow loess landslide group caused by artificial slope cutting. In April 2018, local sliding of the landslide group damaged houses and blocked the G310 highway, leading to the relocation of the Lashagou village, which aroused widespread concern. Unfortunately, the spatiotemporal displacement characteristics and failure modes of the landslide remain unknown. In this study, a method for the estimation of two-dimensional deformation of landslides, based on the local parallel flow model, was presented. This method only needs two orbital synthetic aperture radar (SAR) images with different imaging geometries, and has high accuracy verified by global satellite navigation system (GNSS) observations. In practice, we first obtained the surface velocity and time series deformation of the ascending and descending orbits. The best-fit sliding direction and inclination of the landslide movement were then inverted by combining satellite imaging geometry and surface velocity. Furthermore, the two-dimensional deformation of the Lashagou landslide group in the sliding and normal directions was obtained. We found that the landslide was in the accelerated deformation stage during the wet season and the deformation was mainly concentrated in the northern part of the Lashagou village. The snowmelt and continuous rainfall were the main factors in the landslide deformation. In addition, the landslide surface displacement characteristics and deep stress states can be linked using a combination of two-dimensional deformation, combined deformation, and inclination, which provides evidence that landslide movement is controlled by one or more deep continuous structural planes. Our research shows that the two-dimensional deformation retrieval method can be applied to gravity-driven translational landslides to help prevent and mitigate landslide hazards.</description><subject>Agriculture</subject><subject>Civil Engineering</subject><subject>Deformation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Failure modes</subject><subject>Geography</subject><subject>Geological hazards</subject><subject>Geometric accuracy</subject><subject>Global navigation satellite system</subject><subject>Gravity</subject><subject>Hazard mitigation</subject><subject>Imaging techniques</subject><subject>Inclination</subject><subject>Landslides</subject><subject>Landslides & mudslides</subject><subject>Loess</subject><subject>Methods</subject><subject>Natural Hazards</subject><subject>Navigation</subject><subject>Navigation systems</subject><subject>Parallel flow</subject><subject>Radar 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Shengqiu</au><au>Song, Zhiwei</au><au>Li, Zhenhong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two-dimensional deformation monitoring for spatiotemporal evolution and failure mode of Lashagou landslide group, Northwest China</atitle><jtitle>Landslides</jtitle><stitle>Landslides</stitle><date>2023-02-01</date><risdate>2023</risdate><volume>20</volume><issue>2</issue><spage>447</spage><epage>459</epage><pages>447-459</pages><issn>1612-510X</issn><eissn>1612-5118</eissn><abstract>The Lashagou landslide group in Gansu Province, China, is a typical shallow loess landslide group caused by artificial slope cutting. In April 2018, local sliding of the landslide group damaged houses and blocked the G310 highway, leading to the relocation of the Lashagou village, which aroused widespread concern. Unfortunately, the spatiotemporal displacement characteristics and failure modes of the landslide remain unknown. In this study, a method for the estimation of two-dimensional deformation of landslides, based on the local parallel flow model, was presented. This method only needs two orbital synthetic aperture radar (SAR) images with different imaging geometries, and has high accuracy verified by global satellite navigation system (GNSS) observations. In practice, we first obtained the surface velocity and time series deformation of the ascending and descending orbits. The best-fit sliding direction and inclination of the landslide movement were then inverted by combining satellite imaging geometry and surface velocity. Furthermore, the two-dimensional deformation of the Lashagou landslide group in the sliding and normal directions was obtained. We found that the landslide was in the accelerated deformation stage during the wet season and the deformation was mainly concentrated in the northern part of the Lashagou village. The snowmelt and continuous rainfall were the main factors in the landslide deformation. In addition, the landslide surface displacement characteristics and deep stress states can be linked using a combination of two-dimensional deformation, combined deformation, and inclination, which provides evidence that landslide movement is controlled by one or more deep continuous structural planes. Our research shows that the two-dimensional deformation retrieval method can be applied to gravity-driven translational landslides to help prevent and mitigate landslide hazards.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10346-022-01979-4</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-8960-2635</orcidid></addata></record> |
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| subjects | Agriculture Civil Engineering Deformation Earth and Environmental Science Earth Sciences Failure modes Geography Geological hazards Geometric accuracy Global navigation satellite system Gravity Hazard mitigation Imaging techniques Inclination Landslides Landslides & mudslides Loess Methods Natural Hazards Navigation Navigation systems Parallel flow Radar imaging Rainfall Rainy season Relocation SAR (radar) Satellite imagery Satellite navigation Satellite navigation systems Satellite observation Sliding Slumping Snowmelt Surface velocity Synthetic aperture radar Technical Note Velocity Villages Wet season |
| title | Two-dimensional deformation monitoring for spatiotemporal evolution and failure mode of Lashagou landslide group, Northwest China |
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