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Mechanism and failure process of Qianjiangping landslide in the Three Gorges Reservoir, China
The Qianjiangping landslide is a large planar rock slide which occurred in July 14, 2003 shortly after the water level reached 135 m in the Three Gorges Reservoir, China. The landslide destroyed 4 factories and 129 houses, took 24 lives, and made 1,200 people homeless. Field investigation shows that...
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Published in: | Environmental earth sciences 2014-10, Vol.72 (8), p.2999-3013 |
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description | The Qianjiangping landslide is a large planar rock slide which occurred in July 14, 2003 shortly after the water level reached 135 m in the Three Gorges Reservoir, China. The landslide destroyed 4 factories and 129 houses, took 24 lives, and made 1,200 people homeless. Field investigation shows that the contributing factors for the landslide are the geological structure of the slope, the previous surface of rupture, the water level rise, and continuous rainfall. In order to reveal the mechanism and failure process of the landslide, numerical simulation was conducted on Qianjiangping slope before sliding. Based on the characteristics and the engineering conditions of the landslide, the topography and the geological profiles of Qianjiangping slope before sliding is reconstructed. The seepage field of Qianjiangping slope before sliding was simulated with the Geostudio software. The results show that ground water table rises and bends to the slope during the rise of water level, and the slope surface becomes partially saturated within the period of continuous rainfall. Using the ground water table obtained above, the failure process of Qianjiangping slope is simulated with the Flac3D software. The results demonstrate that the shear strain increment, displacement, and shear failure area of the slope increased greatly after the water level rose and continuous rained, and the landslide was triggered by the combined effect both of water level rise and continuous rainfall. The development of shear strain increment, displacement, and shear failure area of the slope shows that the landslide was retrogressive in the lower part of the slope and progressive in the upper part of the slope. |
doi_str_mv | 10.1007/s12665-014-3205-x |
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The landslide destroyed 4 factories and 129 houses, took 24 lives, and made 1,200 people homeless. Field investigation shows that the contributing factors for the landslide are the geological structure of the slope, the previous surface of rupture, the water level rise, and continuous rainfall. In order to reveal the mechanism and failure process of the landslide, numerical simulation was conducted on Qianjiangping slope before sliding. Based on the characteristics and the engineering conditions of the landslide, the topography and the geological profiles of Qianjiangping slope before sliding is reconstructed. The seepage field of Qianjiangping slope before sliding was simulated with the Geostudio software. The results show that ground water table rises and bends to the slope during the rise of water level, and the slope surface becomes partially saturated within the period of continuous rainfall. Using the ground water table obtained above, the failure process of Qianjiangping slope is simulated with the Flac3D software. The results demonstrate that the shear strain increment, displacement, and shear failure area of the slope increased greatly after the water level rose and continuous rained, and the landslide was triggered by the combined effect both of water level rise and continuous rainfall. The development of shear strain increment, displacement, and shear failure area of the slope shows that the landslide was retrogressive in the lower part of the slope and progressive in the upper part of the slope.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-014-3205-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biogeosciences ; Canyons ; Computer programs ; Computer simulation ; Earth and Environmental Science ; Earth Sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; Environmental Science and Engineering ; Exact sciences and technology ; Failure ; Geochemistry ; Geological structures ; Geology ; Homelessness ; Hydrology/Water Resources ; Landslides ; Landslides & mudslides ; Natural hazards: prediction, damages, etc ; Numerical analysis ; Original Article ; Rain ; Rainfall ; Reservoirs ; Rockslides ; Shear ; Sliding ; Slope stability ; Slopes ; Terrestrial Pollution ; Water levels ; Water table</subject><ispartof>Environmental earth sciences, 2014-10, Vol.72 (8), p.2999-3013</ispartof><rights>Springer-Verlag Berlin Heidelberg 2014</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a571t-866d1742484ef55a65cb2708f1ba52755ff5225337e9c33f439e5f4e50982a6a3</citedby><cites>FETCH-LOGICAL-a571t-866d1742484ef55a65cb2708f1ba52755ff5225337e9c33f439e5f4e50982a6a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27900,27901</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28888415$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Jian, Wenxing</creatorcontrib><creatorcontrib>Xu, Qiang</creatorcontrib><creatorcontrib>Yang, Hufeng</creatorcontrib><creatorcontrib>Wang, Fawu</creatorcontrib><title>Mechanism and failure process of Qianjiangping landslide in the Three Gorges Reservoir, China</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>The Qianjiangping landslide is a large planar rock slide which occurred in July 14, 2003 shortly after the water level reached 135 m in the Three Gorges Reservoir, China. The landslide destroyed 4 factories and 129 houses, took 24 lives, and made 1,200 people homeless. Field investigation shows that the contributing factors for the landslide are the geological structure of the slope, the previous surface of rupture, the water level rise, and continuous rainfall. In order to reveal the mechanism and failure process of the landslide, numerical simulation was conducted on Qianjiangping slope before sliding. Based on the characteristics and the engineering conditions of the landslide, the topography and the geological profiles of Qianjiangping slope before sliding is reconstructed. The seepage field of Qianjiangping slope before sliding was simulated with the Geostudio software. The results show that ground water table rises and bends to the slope during the rise of water level, and the slope surface becomes partially saturated within the period of continuous rainfall. Using the ground water table obtained above, the failure process of Qianjiangping slope is simulated with the Flac3D software. The results demonstrate that the shear strain increment, displacement, and shear failure area of the slope increased greatly after the water level rose and continuous rained, and the landslide was triggered by the combined effect both of water level rise and continuous rainfall. The development of shear strain increment, displacement, and shear failure area of the slope shows that the landslide was retrogressive in the lower part of the slope and progressive in the upper part of the slope.</description><subject>Biogeosciences</subject><subject>Canyons</subject><subject>Computer programs</subject><subject>Computer simulation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth, ocean, space</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Environmental Science and Engineering</subject><subject>Exact sciences and technology</subject><subject>Failure</subject><subject>Geochemistry</subject><subject>Geological structures</subject><subject>Geology</subject><subject>Homelessness</subject><subject>Hydrology/Water Resources</subject><subject>Landslides</subject><subject>Landslides & mudslides</subject><subject>Natural hazards: prediction, damages, etc</subject><subject>Numerical analysis</subject><subject>Original Article</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Reservoirs</subject><subject>Rockslides</subject><subject>Shear</subject><subject>Sliding</subject><subject>Slope stability</subject><subject>Slopes</subject><subject>Terrestrial Pollution</subject><subject>Water levels</subject><subject>Water table</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNkd1KAzEQhRdRsFQfwLuACF64mp9NsrmUolVQRNFLCel20qZsszXTir69KZUiguDAMAP55nDCKYojRs8ZpfoCGVdKlpRVpeBUlh87RY_VSpWKG7O73Wu6XxwizmguwYShqle83kMzdTHgnLg4Jt6FdpWALFLXACLpPHkMLs5yTxYhTkibKWzDGEiIZDkF8jxNAGTYpQkgeQKE9N6FdEYG0xDdQbHnXYtw-D37xcv11fPgprx7GN4OLu9KJzVbltnemOmKV3UFXkqnZDPimtaejZzkWkrvJedSCA2mEcJXwoD0FUhqau6UE_3idKObfb-tAJd2HrCBNruFboWWKcOFNkqZf6DcCGWoFhk9_oXOulWK-SOWac3XDjnPFNtQTeoQE3i7SGHu0qdl1K7jsZt4bI7HruOxH_nm5FvZYeNan1xsAm4PeZ2rYjJzfMNhfooTSD8c_Cn-BeGUnXg</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Jian, Wenxing</creator><creator>Xu, Qiang</creator><creator>Yang, Hufeng</creator><creator>Wang, Fawu</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7QH</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20141001</creationdate><title>Mechanism and failure process of Qianjiangping landslide in the Three Gorges Reservoir, China</title><author>Jian, Wenxing ; Xu, Qiang ; Yang, Hufeng ; Wang, Fawu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a571t-866d1742484ef55a65cb2708f1ba52755ff5225337e9c33f439e5f4e50982a6a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biogeosciences</topic><topic>Canyons</topic><topic>Computer programs</topic><topic>Computer simulation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth, ocean, space</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Environmental Science and Engineering</topic><topic>Exact sciences and technology</topic><topic>Failure</topic><topic>Geochemistry</topic><topic>Geological structures</topic><topic>Geology</topic><topic>Homelessness</topic><topic>Hydrology/Water Resources</topic><topic>Landslides</topic><topic>Landslides & mudslides</topic><topic>Natural hazards: prediction, damages, etc</topic><topic>Numerical analysis</topic><topic>Original Article</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Reservoirs</topic><topic>Rockslides</topic><topic>Shear</topic><topic>Sliding</topic><topic>Slope stability</topic><topic>Slopes</topic><topic>Terrestrial Pollution</topic><topic>Water levels</topic><topic>Water table</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jian, Wenxing</creatorcontrib><creatorcontrib>Xu, Qiang</creatorcontrib><creatorcontrib>Yang, Hufeng</creatorcontrib><creatorcontrib>Wang, Fawu</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Science Journals</collection><collection>Environmental Science Database</collection><collection>ProQuest Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Aqualine</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jian, Wenxing</au><au>Xu, Qiang</au><au>Yang, Hufeng</au><au>Wang, Fawu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mechanism and failure process of Qianjiangping landslide in the Three Gorges Reservoir, China</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2014-10-01</date><risdate>2014</risdate><volume>72</volume><issue>8</issue><spage>2999</spage><epage>3013</epage><pages>2999-3013</pages><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>The Qianjiangping landslide is a large planar rock slide which occurred in July 14, 2003 shortly after the water level reached 135 m in the Three Gorges Reservoir, China. The landslide destroyed 4 factories and 129 houses, took 24 lives, and made 1,200 people homeless. Field investigation shows that the contributing factors for the landslide are the geological structure of the slope, the previous surface of rupture, the water level rise, and continuous rainfall. In order to reveal the mechanism and failure process of the landslide, numerical simulation was conducted on Qianjiangping slope before sliding. Based on the characteristics and the engineering conditions of the landslide, the topography and the geological profiles of Qianjiangping slope before sliding is reconstructed. The seepage field of Qianjiangping slope before sliding was simulated with the Geostudio software. The results show that ground water table rises and bends to the slope during the rise of water level, and the slope surface becomes partially saturated within the period of continuous rainfall. Using the ground water table obtained above, the failure process of Qianjiangping slope is simulated with the Flac3D software. The results demonstrate that the shear strain increment, displacement, and shear failure area of the slope increased greatly after the water level rose and continuous rained, and the landslide was triggered by the combined effect both of water level rise and continuous rainfall. The development of shear strain increment, displacement, and shear failure area of the slope shows that the landslide was retrogressive in the lower part of the slope and progressive in the upper part of the slope.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-014-3205-x</doi><tpages>15</tpages></addata></record> |
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subjects | Biogeosciences Canyons Computer programs Computer simulation Earth and Environmental Science Earth Sciences Earth, ocean, space Engineering and environment geology. Geothermics Environmental Science and Engineering Exact sciences and technology Failure Geochemistry Geological structures Geology Homelessness Hydrology/Water Resources Landslides Landslides & mudslides Natural hazards: prediction, damages, etc Numerical analysis Original Article Rain Rainfall Reservoirs Rockslides Shear Sliding Slope stability Slopes Terrestrial Pollution Water levels Water table |
title | Mechanism and failure process of Qianjiangping landslide in the Three Gorges Reservoir, China |
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