Analysis and modeling of the combined effects of hydrological factors on a reservoir bank slope in the Three Gorges Reservoir area, China

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Campo DCValorIdioma
dc.contributorIngeniería del Terreno y sus Estructuras (InTerEs)es_ES
dc.contributor.authorHuang, Da-
dc.contributor.authorLuo, Shi-Lin-
dc.contributor.authorZhong, Zhu-
dc.contributor.authorGu, Dong-Ming-
dc.contributor.authorSong, Yi-Xiang-
dc.contributor.authorTomás, Roberto-
dc.contributor.otherUniversidad de Alicante. Departamento de Ingeniería Civiles_ES
dc.date.accessioned2020-10-20T08:55:47Z-
dc.date.available2020-10-20T08:55:47Z-
dc.date.issued2020-12-20-
dc.identifier.citationEngineering Geology. 2020, 279: 105858. https://doi.org/10.1016/j.enggeo.2020.105858es_ES
dc.identifier.issn0013-7952 (Print)-
dc.identifier.issn1872-6917 (Online)-
dc.identifier.urihttp://hdl.handle.net/10045/109847-
dc.description.abstractMore than 5000 landslides have been identified in the Three Gorges Reservoir (TGR) area since the impoundment in 2003, which posed great threats to the residential houses, transportation on the Yangtze, and dam stability. This paper focuses on the evaluation of the coupled influence of rainfall and reservoir water on deformation characteristics and failure evolution of the Outang landslide (in China) based on field investigations, a statistical Pearson cross-correlation coefficient analysis, multi-technique monitoring data, and a numerical model. This instability is a reactivated ancient landslide with a volume of approximately 90 Mm3 located in the Three Gorges Reservoir. The slope behavior is featured with a short period of fast displacement and a relatively long period of semi-constant displacement rates per hydrological year, and displacements velocities quicken gradually upslope. Rainfall and reservoir water level are the main triggering factors of slope movement existing in the upper and the lower parts of the landslide, respectively. Based on the numerical results, the failure evolution of this landslide is a compounded push-retrogression-type failure process involving: a) a first rupture at the toe caused by the reservoir water level that will rapidly mobilize a second and subsequent collapses upwards (retrogression type); and b) the rock mass at the upper part will be pushed out and failed downslope (push type) due to precipitation. These results provide a comprehensive analysis of the Outang landslide, which is critical for its management, as well as for disaster prevention and mitigation of analogous reservoir-induced landslides.es_ES
dc.description.sponsorshipThis work is supported by the National Natural Science Foundation of China (Nos. 41672300, 41972297, 41902290 and 41902270), Open Research Fund Program of Hunan Province Key Laboratory of Safe Mining Techniques of Coal Mines (No. E21831), Chongqing Postdoctoral Science Foundation (cstc2019jcyj-bshX0032), and Supporting Program of Hundred Promising Innovative Talents in Hebei Provincial Education Office (No. SLRC2019027). The second author Shi-Lin Luo would like to thank the China Scholarship Council (CSC) for providing the funds for his research at the University of Alicante, Spain. The author Roberto Tomás is supported by the Spanish Ministry of Economy and Competitiveness (MINECO), the State Agency of Research (AEI) and the European Funds for Regional Development (FEDER) under projects TEC2017-85244-C2-1-P.es_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.rights© 2020 Elsevier B.V.es_ES
dc.subjectThree Gorges Reservoires_ES
dc.subjectReactivated ancient landslidees_ES
dc.subjectOutang landslidees_ES
dc.subjectDeformation characteristicses_ES
dc.subjectFailure evolutiones_ES
dc.subject.otherIngeniería del Terrenoes_ES
dc.titleAnalysis and modeling of the combined effects of hydrological factors on a reservoir bank slope in the Three Gorges Reservoir area, Chinaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1016/j.enggeo.2020.105858-
dc.relation.publisherversionhttps://doi.org/10.1016/j.enggeo.2020.105858es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-85244-C2-1-P-
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