Identifying the Main Control Factors for Different Deformation Stages of Landslide
Water level fluctuations and rainfall, as external factors, are typically the two dominant causal factors of landslide deformation in the Three Gorges Reservoir Area. A quantitative model capable of evaluating landslide deformation processes is critical for early warning of landslide. The primary pu...
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| Veröffentlicht in: | Geotechnical and geological engineering 2018-02, Vol.36 (1), p.469-482 |
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| creator | Tan, Fulin Hu, Xinli He, Chuncan Zhang, Yuming Zhang, Han Zhou, Chang Wang, Qiang |
| description | Water level fluctuations and rainfall, as external factors, are typically the two dominant causal factors of landslide deformation in the Three Gorges Reservoir Area. A quantitative model capable of evaluating landslide deformation processes is critical for early warning of landslide. The primary purpose of this paper is to take the Zhujiadian landslide as an example to determine the main control factors for different deformation stages of landslide. Original field date collected from the Zhujiadian landslide was examined using the grey relational grade analysis (GRGA). The approach consists of three steps: determination of landslide type, data processing, and identifying the main control factors of landslide deformation. The results obtained suggest that the Zhujiadian landslide is typical retrogressive landslide, and its deformation occurred first at the front part of the landslide and progressed upslope due to drawdown of reservoir water level and heavy rainfall. In the whole deformation process, the main control factors of different parts of landslide changed with the landslide development. Thus, the findings of the study are useful for rapidly predicting landslide deformation relating to water level fluctuations and rainfall, and the GRGA is useful for interpreting the main control factors of landslide deformation from a quantitative point of view. |
| doi_str_mv | 10.1007/s10706-017-0340-7 |
| format | Article |
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A quantitative model capable of evaluating landslide deformation processes is critical for early warning of landslide. The primary purpose of this paper is to take the Zhujiadian landslide as an example to determine the main control factors for different deformation stages of landslide. Original field date collected from the Zhujiadian landslide was examined using the grey relational grade analysis (GRGA). The approach consists of three steps: determination of landslide type, data processing, and identifying the main control factors of landslide deformation. The results obtained suggest that the Zhujiadian landslide is typical retrogressive landslide, and its deformation occurred first at the front part of the landslide and progressed upslope due to drawdown of reservoir water level and heavy rainfall. In the whole deformation process, the main control factors of different parts of landslide changed with the landslide development. Thus, the findings of the study are useful for rapidly predicting landslide deformation relating to water level fluctuations and rainfall, and the GRGA is useful for interpreting the main control factors of landslide deformation from a quantitative point of view.</description><identifier>ISSN: 0960-3182</identifier><identifier>EISSN: 1573-1529</identifier><identifier>DOI: 10.1007/s10706-017-0340-7</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Canyons ; Civil Engineering ; Control ; Data analysis ; Data processing ; Deformation ; Deformation mechanisms ; Drawdown ; Earth and Environmental Science ; Earth Sciences ; Fluctuations ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Landslides ; Landslides & mudslides ; Original Paper ; Rain ; Rainfall ; Reservoirs ; Terrestrial Pollution ; Waste Management/Waste Technology ; Water level fluctuations ; Water levels</subject><ispartof>Geotechnical and geological engineering, 2018-02, Vol.36 (1), p.469-482</ispartof><rights>Springer International Publishing AG 2017</rights><rights>Geotechnical and Geological Engineering is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a339t-c2a8b7451a13c6b04b67652a09c9602b4697fb47eeac9cf7e02bfc56798c81943</citedby><cites>FETCH-LOGICAL-a339t-c2a8b7451a13c6b04b67652a09c9602b4697fb47eeac9cf7e02bfc56798c81943</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10706-017-0340-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10706-017-0340-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>Tan, Fulin</creatorcontrib><creatorcontrib>Hu, Xinli</creatorcontrib><creatorcontrib>He, Chuncan</creatorcontrib><creatorcontrib>Zhang, Yuming</creatorcontrib><creatorcontrib>Zhang, Han</creatorcontrib><creatorcontrib>Zhou, Chang</creatorcontrib><creatorcontrib>Wang, Qiang</creatorcontrib><title>Identifying the Main Control Factors for Different Deformation Stages of Landslide</title><title>Geotechnical and geological engineering</title><addtitle>Geotech Geol Eng</addtitle><description>Water level fluctuations and rainfall, as external factors, are typically the two dominant causal factors of landslide deformation in the Three Gorges Reservoir Area. A quantitative model capable of evaluating landslide deformation processes is critical for early warning of landslide. The primary purpose of this paper is to take the Zhujiadian landslide as an example to determine the main control factors for different deformation stages of landslide. Original field date collected from the Zhujiadian landslide was examined using the grey relational grade analysis (GRGA). The approach consists of three steps: determination of landslide type, data processing, and identifying the main control factors of landslide deformation. The results obtained suggest that the Zhujiadian landslide is typical retrogressive landslide, and its deformation occurred first at the front part of the landslide and progressed upslope due to drawdown of reservoir water level and heavy rainfall. In the whole deformation process, the main control factors of different parts of landslide changed with the landslide development. Thus, the findings of the study are useful for rapidly predicting landslide deformation relating to water level fluctuations and rainfall, and the GRGA is useful for interpreting the main control factors of landslide deformation from a quantitative point of view.</description><subject>Canyons</subject><subject>Civil Engineering</subject><subject>Control</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Deformation</subject><subject>Deformation mechanisms</subject><subject>Drawdown</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Fluctuations</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Landslides</subject><subject>Landslides & mudslides</subject><subject>Original Paper</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Reservoirs</subject><subject>Terrestrial Pollution</subject><subject>Waste Management/Waste Technology</subject><subject>Water level fluctuations</subject><subject>Water levels</subject><issn>0960-3182</issn><issn>1573-1529</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kE1LAzEQhoMoWKs_wFvAc3SS3SSbo7RWhYrgxzlk06RuaZOapIf-e1MqePI0zPC8M8OD0DWFWwog7zIFCYIAlQSaFog8QSPKZUMoZ-oUjUAJIA3t2Dm6yHkFAEwAHaG354ULZfD7ISxx-XL4xQwBT2IoKa7xzNgSU8Y-JjwdvHepwnjqar8xZYgBvxezdBlHj-cmLPJ6WLhLdObNOrur3zpGn7OHj8kTmb8-Pk_u58Q0jSrEMtP1suXU0MaKHtpeSMGZAWXrr6xvhZK-b6Vzxirrpaszb7mQqrMdVW0zRjfHvdsUv3cuF72KuxTqSc0YVx1wxqFS9EjZFHNOzuttGjYm7TUFfVCnj-p0VacP6rSsGXbM5MqGpUt_m_8P_QBIanBn</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Tan, Fulin</creator><creator>Hu, Xinli</creator><creator>He, Chuncan</creator><creator>Zhang, Yuming</creator><creator>Zhang, Han</creator><creator>Zhou, Chang</creator><creator>Wang, Qiang</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope></search><sort><creationdate>20180201</creationdate><title>Identifying the Main Control Factors for Different Deformation Stages of Landslide</title><author>Tan, Fulin ; Hu, Xinli ; He, Chuncan ; Zhang, Yuming ; Zhang, Han ; Zhou, Chang ; Wang, Qiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a339t-c2a8b7451a13c6b04b67652a09c9602b4697fb47eeac9cf7e02bfc56798c81943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Canyons</topic><topic>Civil Engineering</topic><topic>Control</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>Deformation</topic><topic>Deformation mechanisms</topic><topic>Drawdown</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Fluctuations</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Landslides</topic><topic>Landslides & mudslides</topic><topic>Original Paper</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Reservoirs</topic><topic>Terrestrial Pollution</topic><topic>Waste Management/Waste Technology</topic><topic>Water level fluctuations</topic><topic>Water levels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Fulin</creatorcontrib><creatorcontrib>Hu, Xinli</creatorcontrib><creatorcontrib>He, Chuncan</creatorcontrib><creatorcontrib>Zhang, Yuming</creatorcontrib><creatorcontrib>Zhang, Han</creatorcontrib><creatorcontrib>Zhou, Chang</creatorcontrib><creatorcontrib>Wang, Qiang</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>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 Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>Geotechnical and geological engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Fulin</au><au>Hu, Xinli</au><au>He, Chuncan</au><au>Zhang, Yuming</au><au>Zhang, Han</au><au>Zhou, Chang</au><au>Wang, Qiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying the Main Control Factors for Different Deformation Stages of Landslide</atitle><jtitle>Geotechnical and geological engineering</jtitle><stitle>Geotech Geol Eng</stitle><date>2018-02-01</date><risdate>2018</risdate><volume>36</volume><issue>1</issue><spage>469</spage><epage>482</epage><pages>469-482</pages><issn>0960-3182</issn><eissn>1573-1529</eissn><abstract>Water level fluctuations and rainfall, as external factors, are typically the two dominant causal factors of landslide deformation in the Three Gorges Reservoir Area. A quantitative model capable of evaluating landslide deformation processes is critical for early warning of landslide. The primary purpose of this paper is to take the Zhujiadian landslide as an example to determine the main control factors for different deformation stages of landslide. Original field date collected from the Zhujiadian landslide was examined using the grey relational grade analysis (GRGA). The approach consists of three steps: determination of landslide type, data processing, and identifying the main control factors of landslide deformation. The results obtained suggest that the Zhujiadian landslide is typical retrogressive landslide, and its deformation occurred first at the front part of the landslide and progressed upslope due to drawdown of reservoir water level and heavy rainfall. In the whole deformation process, the main control factors of different parts of landslide changed with the landslide development. 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| subjects | Canyons Civil Engineering Control Data analysis Data processing Deformation Deformation mechanisms Drawdown Earth and Environmental Science Earth Sciences Fluctuations Geotechnical Engineering & Applied Earth Sciences Hydrogeology Landslides Landslides & mudslides Original Paper Rain Rainfall Reservoirs Terrestrial Pollution Waste Management/Waste Technology Water level fluctuations Water levels |
| title | Identifying the Main Control Factors for Different Deformation Stages of Landslide |
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