Loading…

Hydrological control shift from river level to rainfall in the reactivated Guobu slope besides the Laxiwa hydropower station in China

Landslides are common geohazards associated with natural drivers such as precipitation, land degradation, toe erosion by rivers and wave attack, and ground shaking. On the other hand, human alterations such as inundation by water impoundment or rapid drawdown may also destabilize the surrounding slo...

Full description

Saved in:
Bibliographic Details
Published in:Remote sensing of environment 2021-11, Vol.265, p.112664, Article 112664
Main Authors: Shi, Xuguo, Hu, Xie, Sitar, Nicholas, Kayen, Robert, Qi, Shengwen, Jiang, Houjun, Wang, Xudong, Zhang, Lu
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c325t-51fd811d8a4c4f69b41263c6a4e7e705465cde982990b9b95384376ccab7c6cb3
cites cdi_FETCH-LOGICAL-c325t-51fd811d8a4c4f69b41263c6a4e7e705465cde982990b9b95384376ccab7c6cb3
container_end_page
container_issue
container_start_page 112664
container_title Remote sensing of environment
container_volume 265
creator Shi, Xuguo
Hu, Xie
Sitar, Nicholas
Kayen, Robert
Qi, Shengwen
Jiang, Houjun
Wang, Xudong
Zhang, Lu
description Landslides are common geohazards associated with natural drivers such as precipitation, land degradation, toe erosion by rivers and wave attack, and ground shaking. On the other hand, human alterations such as inundation by water impoundment or rapid drawdown may also destabilize the surrounding slopes. The Guobu slope is an ancient rockslide on the banks of the Laxiwa hydropower station reservoir (China), which reactivated during the reservoir impoundment in 2009. We extracted three-dimensional surface displacements with azimuth and range radar interferometry using European Space Agency's Copernicus Sentinel-1 and German Aerospace Center's TerraSAR-X data during 20152019. The upper part of the Guobu rockslide is characterized by toppling and is mostly subsiding with maximum rates over 0.4 m/yr and 0.7 m/yr in the vertical and horizontal directions, respectively. During filling of the reservoir prior to 2014, there was a long-wavelength in-phase response between rising reservoir level and GPS-observed increased slope movements. After the reservoir water level stabilized from 2015 to 2019, the slide movement became seasonal and we see a correlation between rainfall and landslide movement. These observations suggest that the slide motion is now primarily controlled by rainfall. The spatiotemporal landslide displacements allow us to estimate the hydraulic diffusivity of the rock mass, to be on the order (~1.05 × 10‐7 m2/s) and the thickness of the moving rock mass (~200 m). Our results demonstrate that InSAR is a useful tool for monitoring the rockslide movement as a function of seasonal precipitation. •Map 3D surface motion of Guobu slope using traditional and split-bandwidth InSAR.•Control of the slope stability shifted from river level to rainfall in 2014–2015.•Vertical and horizontal rates are 0.4+ and 0.7+ m/yr respectively during 2015–2019.•The hydraulic diffusivity is ~1.05 × 10‐7 m2/s, in the range for fractured rocks.•The inferred mass movement is ~200-m thick and ~107-m3 in volume.
doi_str_mv 10.1016/j.rse.2021.112664
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2583116307</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0034425721003849</els_id><sourcerecordid>2583116307</sourcerecordid><originalsourceid>FETCH-LOGICAL-c325t-51fd811d8a4c4f69b41263c6a4e7e705465cde982990b9b95384376ccab7c6cb3</originalsourceid><addsrcrecordid>eNp9kMFOwzAQRC0EEqXwAdwscU6wE8dOxAlV0CJV4gJny3E21FUaB9tN6Qfw37iEM6fVSjNvdgehW0pSSii_36bOQ5qRjKaUZpyzMzSjpagSIgg7RzNCcpawrBCX6Mr7LSG0KAWdoe_VsXG2sx9Gqw5r24e4Yb8xbcCtszvszAgOdzBCh4PFTpm-VV2HTY_DBrADpYMZVYAGL_e23mPf2QFwDd404H81a_VlDgpvTkmDPUScDyoY258gi43p1TW6iFAPN39zjt6fn94Wq2T9unxZPK4TnWdFSAraNiWlTamYZi2vahZfzTVXDAQIUjBe6AaqMqsqUld1VeQlywXXWtVCc13nc3Q3cQdnP_fgg9zavetjpMyKMqeU50REFZ1U2lnvHbRycGan3FFSIk9ty62MbctT23JqO3oeJg_E80cDTnptoNfQGAc6yMaaf9w_VfCJqA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2583116307</pqid></control><display><type>article</type><title>Hydrological control shift from river level to rainfall in the reactivated Guobu slope besides the Laxiwa hydropower station in China</title><source>ScienceDirect Freedom Collection 2022-2024</source><creator>Shi, Xuguo ; Hu, Xie ; Sitar, Nicholas ; Kayen, Robert ; Qi, Shengwen ; Jiang, Houjun ; Wang, Xudong ; Zhang, Lu</creator><creatorcontrib>Shi, Xuguo ; Hu, Xie ; Sitar, Nicholas ; Kayen, Robert ; Qi, Shengwen ; Jiang, Houjun ; Wang, Xudong ; Zhang, Lu</creatorcontrib><description>Landslides are common geohazards associated with natural drivers such as precipitation, land degradation, toe erosion by rivers and wave attack, and ground shaking. On the other hand, human alterations such as inundation by water impoundment or rapid drawdown may also destabilize the surrounding slopes. The Guobu slope is an ancient rockslide on the banks of the Laxiwa hydropower station reservoir (China), which reactivated during the reservoir impoundment in 2009. We extracted three-dimensional surface displacements with azimuth and range radar interferometry using European Space Agency's Copernicus Sentinel-1 and German Aerospace Center's TerraSAR-X data during 20152019. The upper part of the Guobu rockslide is characterized by toppling and is mostly subsiding with maximum rates over 0.4 m/yr and 0.7 m/yr in the vertical and horizontal directions, respectively. During filling of the reservoir prior to 2014, there was a long-wavelength in-phase response between rising reservoir level and GPS-observed increased slope movements. After the reservoir water level stabilized from 2015 to 2019, the slide movement became seasonal and we see a correlation between rainfall and landslide movement. These observations suggest that the slide motion is now primarily controlled by rainfall. The spatiotemporal landslide displacements allow us to estimate the hydraulic diffusivity of the rock mass, to be on the order (~1.05 × 10‐7 m2/s) and the thickness of the moving rock mass (~200 m). Our results demonstrate that InSAR is a useful tool for monitoring the rockslide movement as a function of seasonal precipitation. •Map 3D surface motion of Guobu slope using traditional and split-bandwidth InSAR.•Control of the slope stability shifted from river level to rainfall in 2014–2015.•Vertical and horizontal rates are 0.4+ and 0.7+ m/yr respectively during 2015–2019.•The hydraulic diffusivity is ~1.05 × 10‐7 m2/s, in the range for fractured rocks.•The inferred mass movement is ~200-m thick and ~107-m3 in volume.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2021.112664</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Drawdown ; Flooding ; Geological hazards ; Global positioning systems ; GPS ; Hydraulic diffusivity ; Hydroclimatic controls ; Hydroelectric power ; Hydroelectric power stations ; Hydrology ; Impoundments ; InSAR ; Interferometric synthetic aperture radar ; Interferometry ; Land degradation ; Land use ; Landslides ; Landslides &amp; mudslides ; Movement ; Precipitation ; Radar ; Rainfall ; Reservoir water ; Reservoirs ; River erosion ; River levels ; Rivers ; Rock masses ; Rocks ; Rockslides ; Seasonal precipitation ; Shaking ; Slopes ; Synthetic aperture radar interferometry ; The Guobu slope ; Triggered landslide ; Water levels ; Wave erosion</subject><ispartof>Remote sensing of environment, 2021-11, Vol.265, p.112664, Article 112664</ispartof><rights>2021</rights><rights>Copyright Elsevier BV Nov 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-51fd811d8a4c4f69b41263c6a4e7e705465cde982990b9b95384376ccab7c6cb3</citedby><cites>FETCH-LOGICAL-c325t-51fd811d8a4c4f69b41263c6a4e7e705465cde982990b9b95384376ccab7c6cb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Shi, Xuguo</creatorcontrib><creatorcontrib>Hu, Xie</creatorcontrib><creatorcontrib>Sitar, Nicholas</creatorcontrib><creatorcontrib>Kayen, Robert</creatorcontrib><creatorcontrib>Qi, Shengwen</creatorcontrib><creatorcontrib>Jiang, Houjun</creatorcontrib><creatorcontrib>Wang, Xudong</creatorcontrib><creatorcontrib>Zhang, Lu</creatorcontrib><title>Hydrological control shift from river level to rainfall in the reactivated Guobu slope besides the Laxiwa hydropower station in China</title><title>Remote sensing of environment</title><description>Landslides are common geohazards associated with natural drivers such as precipitation, land degradation, toe erosion by rivers and wave attack, and ground shaking. On the other hand, human alterations such as inundation by water impoundment or rapid drawdown may also destabilize the surrounding slopes. The Guobu slope is an ancient rockslide on the banks of the Laxiwa hydropower station reservoir (China), which reactivated during the reservoir impoundment in 2009. We extracted three-dimensional surface displacements with azimuth and range radar interferometry using European Space Agency's Copernicus Sentinel-1 and German Aerospace Center's TerraSAR-X data during 20152019. The upper part of the Guobu rockslide is characterized by toppling and is mostly subsiding with maximum rates over 0.4 m/yr and 0.7 m/yr in the vertical and horizontal directions, respectively. During filling of the reservoir prior to 2014, there was a long-wavelength in-phase response between rising reservoir level and GPS-observed increased slope movements. After the reservoir water level stabilized from 2015 to 2019, the slide movement became seasonal and we see a correlation between rainfall and landslide movement. These observations suggest that the slide motion is now primarily controlled by rainfall. The spatiotemporal landslide displacements allow us to estimate the hydraulic diffusivity of the rock mass, to be on the order (~1.05 × 10‐7 m2/s) and the thickness of the moving rock mass (~200 m). Our results demonstrate that InSAR is a useful tool for monitoring the rockslide movement as a function of seasonal precipitation. •Map 3D surface motion of Guobu slope using traditional and split-bandwidth InSAR.•Control of the slope stability shifted from river level to rainfall in 2014–2015.•Vertical and horizontal rates are 0.4+ and 0.7+ m/yr respectively during 2015–2019.•The hydraulic diffusivity is ~1.05 × 10‐7 m2/s, in the range for fractured rocks.•The inferred mass movement is ~200-m thick and ~107-m3 in volume.</description><subject>Drawdown</subject><subject>Flooding</subject><subject>Geological hazards</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Hydraulic diffusivity</subject><subject>Hydroclimatic controls</subject><subject>Hydroelectric power</subject><subject>Hydroelectric power stations</subject><subject>Hydrology</subject><subject>Impoundments</subject><subject>InSAR</subject><subject>Interferometric synthetic aperture radar</subject><subject>Interferometry</subject><subject>Land degradation</subject><subject>Land use</subject><subject>Landslides</subject><subject>Landslides &amp; mudslides</subject><subject>Movement</subject><subject>Precipitation</subject><subject>Radar</subject><subject>Rainfall</subject><subject>Reservoir water</subject><subject>Reservoirs</subject><subject>River erosion</subject><subject>River levels</subject><subject>Rivers</subject><subject>Rock masses</subject><subject>Rocks</subject><subject>Rockslides</subject><subject>Seasonal precipitation</subject><subject>Shaking</subject><subject>Slopes</subject><subject>Synthetic aperture radar interferometry</subject><subject>The Guobu slope</subject><subject>Triggered landslide</subject><subject>Water levels</subject><subject>Wave erosion</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kMFOwzAQRC0EEqXwAdwscU6wE8dOxAlV0CJV4gJny3E21FUaB9tN6Qfw37iEM6fVSjNvdgehW0pSSii_36bOQ5qRjKaUZpyzMzSjpagSIgg7RzNCcpawrBCX6Mr7LSG0KAWdoe_VsXG2sx9Gqw5r24e4Yb8xbcCtszvszAgOdzBCh4PFTpm-VV2HTY_DBrADpYMZVYAGL_e23mPf2QFwDd404H81a_VlDgpvTkmDPUScDyoY258gi43p1TW6iFAPN39zjt6fn94Wq2T9unxZPK4TnWdFSAraNiWlTamYZi2vahZfzTVXDAQIUjBe6AaqMqsqUld1VeQlywXXWtVCc13nc3Q3cQdnP_fgg9zavetjpMyKMqeU50REFZ1U2lnvHbRycGan3FFSIk9ty62MbctT23JqO3oeJg_E80cDTnptoNfQGAc6yMaaf9w_VfCJqA</recordid><startdate>202111</startdate><enddate>202111</enddate><creator>Shi, Xuguo</creator><creator>Hu, Xie</creator><creator>Sitar, Nicholas</creator><creator>Kayen, Robert</creator><creator>Qi, Shengwen</creator><creator>Jiang, Houjun</creator><creator>Wang, Xudong</creator><creator>Zhang, Lu</creator><general>Elsevier Inc</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TG</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope></search><sort><creationdate>202111</creationdate><title>Hydrological control shift from river level to rainfall in the reactivated Guobu slope besides the Laxiwa hydropower station in China</title><author>Shi, Xuguo ; Hu, Xie ; Sitar, Nicholas ; Kayen, Robert ; Qi, Shengwen ; Jiang, Houjun ; Wang, Xudong ; Zhang, Lu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-51fd811d8a4c4f69b41263c6a4e7e705465cde982990b9b95384376ccab7c6cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Drawdown</topic><topic>Flooding</topic><topic>Geological hazards</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Hydraulic diffusivity</topic><topic>Hydroclimatic controls</topic><topic>Hydroelectric power</topic><topic>Hydroelectric power stations</topic><topic>Hydrology</topic><topic>Impoundments</topic><topic>InSAR</topic><topic>Interferometric synthetic aperture radar</topic><topic>Interferometry</topic><topic>Land degradation</topic><topic>Land use</topic><topic>Landslides</topic><topic>Landslides &amp; mudslides</topic><topic>Movement</topic><topic>Precipitation</topic><topic>Radar</topic><topic>Rainfall</topic><topic>Reservoir water</topic><topic>Reservoirs</topic><topic>River erosion</topic><topic>River levels</topic><topic>Rivers</topic><topic>Rock masses</topic><topic>Rocks</topic><topic>Rockslides</topic><topic>Seasonal precipitation</topic><topic>Shaking</topic><topic>Slopes</topic><topic>Synthetic aperture radar interferometry</topic><topic>The Guobu slope</topic><topic>Triggered landslide</topic><topic>Water levels</topic><topic>Wave erosion</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Xuguo</creatorcontrib><creatorcontrib>Hu, Xie</creatorcontrib><creatorcontrib>Sitar, Nicholas</creatorcontrib><creatorcontrib>Kayen, Robert</creatorcontrib><creatorcontrib>Qi, Shengwen</creatorcontrib><creatorcontrib>Jiang, Houjun</creatorcontrib><creatorcontrib>Wang, Xudong</creatorcontrib><creatorcontrib>Zhang, Lu</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Xuguo</au><au>Hu, Xie</au><au>Sitar, Nicholas</au><au>Kayen, Robert</au><au>Qi, Shengwen</au><au>Jiang, Houjun</au><au>Wang, Xudong</au><au>Zhang, Lu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hydrological control shift from river level to rainfall in the reactivated Guobu slope besides the Laxiwa hydropower station in China</atitle><jtitle>Remote sensing of environment</jtitle><date>2021-11</date><risdate>2021</risdate><volume>265</volume><spage>112664</spage><pages>112664-</pages><artnum>112664</artnum><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>Landslides are common geohazards associated with natural drivers such as precipitation, land degradation, toe erosion by rivers and wave attack, and ground shaking. On the other hand, human alterations such as inundation by water impoundment or rapid drawdown may also destabilize the surrounding slopes. The Guobu slope is an ancient rockslide on the banks of the Laxiwa hydropower station reservoir (China), which reactivated during the reservoir impoundment in 2009. We extracted three-dimensional surface displacements with azimuth and range radar interferometry using European Space Agency's Copernicus Sentinel-1 and German Aerospace Center's TerraSAR-X data during 20152019. The upper part of the Guobu rockslide is characterized by toppling and is mostly subsiding with maximum rates over 0.4 m/yr and 0.7 m/yr in the vertical and horizontal directions, respectively. During filling of the reservoir prior to 2014, there was a long-wavelength in-phase response between rising reservoir level and GPS-observed increased slope movements. After the reservoir water level stabilized from 2015 to 2019, the slide movement became seasonal and we see a correlation between rainfall and landslide movement. These observations suggest that the slide motion is now primarily controlled by rainfall. The spatiotemporal landslide displacements allow us to estimate the hydraulic diffusivity of the rock mass, to be on the order (~1.05 × 10‐7 m2/s) and the thickness of the moving rock mass (~200 m). Our results demonstrate that InSAR is a useful tool for monitoring the rockslide movement as a function of seasonal precipitation. •Map 3D surface motion of Guobu slope using traditional and split-bandwidth InSAR.•Control of the slope stability shifted from river level to rainfall in 2014–2015.•Vertical and horizontal rates are 0.4+ and 0.7+ m/yr respectively during 2015–2019.•The hydraulic diffusivity is ~1.05 × 10‐7 m2/s, in the range for fractured rocks.•The inferred mass movement is ~200-m thick and ~107-m3 in volume.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2021.112664</doi></addata></record>
fulltext fulltext
identifier ISSN: 0034-4257
ispartof Remote sensing of environment, 2021-11, Vol.265, p.112664, Article 112664
issn 0034-4257
1879-0704
language eng
recordid cdi_proquest_journals_2583116307
source ScienceDirect Freedom Collection 2022-2024
subjects Drawdown
Flooding
Geological hazards
Global positioning systems
GPS
Hydraulic diffusivity
Hydroclimatic controls
Hydroelectric power
Hydroelectric power stations
Hydrology
Impoundments
InSAR
Interferometric synthetic aperture radar
Interferometry
Land degradation
Land use
Landslides
Landslides & mudslides
Movement
Precipitation
Radar
Rainfall
Reservoir water
Reservoirs
River erosion
River levels
Rivers
Rock masses
Rocks
Rockslides
Seasonal precipitation
Shaking
Slopes
Synthetic aperture radar interferometry
The Guobu slope
Triggered landslide
Water levels
Wave erosion
title Hydrological control shift from river level to rainfall in the reactivated Guobu slope besides the Laxiwa hydropower station in China
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T11%3A05%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hydrological%20control%20shift%20from%20river%20level%20to%20rainfall%20in%20the%20reactivated%20Guobu%20slope%20besides%20the%20Laxiwa%20hydropower%20station%20in%20China&rft.jtitle=Remote%20sensing%20of%20environment&rft.au=Shi,%20Xuguo&rft.date=2021-11&rft.volume=265&rft.spage=112664&rft.pages=112664-&rft.artnum=112664&rft.issn=0034-4257&rft.eissn=1879-0704&rft_id=info:doi/10.1016/j.rse.2021.112664&rft_dat=%3Cproquest_cross%3E2583116307%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c325t-51fd811d8a4c4f69b41263c6a4e7e705465cde982990b9b95384376ccab7c6cb3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2583116307&rft_id=info:pmid/&rfr_iscdi=true