Page 97 - 2023年第54卷第4期
P. 97

[J].Landslides,2013,10(2):203 - 218.
                [23] 黄晓虎,雷德鑫,夏俊宝,等.降 雨 诱 发 滑 坡 阶 跃 型 变 形 的 预 测 分 析 及 应 用 [J].岩 土 力 学,2019,40
                       (9):3585 - 3602.
                [24] 覃瀚萱,桂蕾,余玉婷,等.基于滑坡灾害预警分级的应急处置措施[J].地质科技通报,2021,40(4):
                      187 - 195.
                [25] 罗文强,李飞 翱,刘 小 珊,等.多 元 时 间 序 列 分 析 的 滑 坡 演 化 阶 段 划 分 [J].地 球 科 学,2016,41(4):
                      711 - 717.
                [26] 郭科,彭继兵,许强,等.滑坡多点数据融合中的多传感器目标跟踪技术应用[J].岩土力学,2006,27
                       (3):479 - 481.
                [27] CHENZM,YEH Y L,CHEN TC.Assessmentofaregionalflooddisasterindicatorviaanentropyweighting
                       method [J].NaturalHazardReview,2018,19(2):05018002.
                [28] 韦方强,胡凯衡,陈杰.泥石流预报中前期有效降水量的确定[J].山地学报,2005,23(4):453 - 457.
                [29] 邓聚龙.灰色系统理论教程[M].武汉:华中理工大学出版社,1990.
                [30] LEOB.Random Forests[J].MachineLearning,2001,45(1):5 - 32.



                           Researchoncomprehensivedeformationpredictionandmonitoringand
                                       earlywarningmethodforstep - likelandslide

                                                                                                    3
                              1,2,3
                                              4
                                                             1
                                                                            4
                                                                                         5
                    YUANWei ,SUNRuifeng,ZHONGHuiya,JIAOHaiming,HUHuihua,LINHang
                               (1.PowerChinaZhongnanEngineeringCorporationLimited,Changsha 410014,China;
                              2.SchoolofCivilEngineering,ShijiazhuangTiedaoUniversity,Shijiazhuang 050043,China;
                            3.SchoolofResourcesandSafetyEngineering,CentralSouthUniversity,Changsha 410012,China;
                              4.ChinaRailway17thBureauGroupUrbanConstructionCo.,Ltd.,Guiyang 550029,China;
                       5.HunanProvincialCommunicationsPlanning,SurveyandDesignInstituteCO.LTD.,Changsha 410200,China)
                  Abstract:Thelong - termdeformationofthebankslopeofthelargereservoirpresentsanobviousperiodical“step -
                  type ”steepincreaseundertheactionofrainfallinfloodseason.Aimingatthedeformationcharacteristicsofstep
                  landslide ,athree - steplandslidemonitoringandearlywarningmethodformulti - sourcedataisproposedinthis
                  study:(1)“Fusion”-Themulti - pointmonitoringdataaredecomposedintotrendtermandperiodtermbasedon
                  empiricalmodedecompositionmethod ,thetrendterm andperiodicterm displacementsofdifferentmonitoring
                  pointsarefusedbyweightingmethod ,andtheobtainedtrendtermandperiodictermaresuperimposedtoobtainthe
                  currentstatusoftheintegratedlandslidedeformation.(2)“Prediction”-Theconceptof “onepredictionperiod”
                  isintroduced,theslidingpolynomialfittingmethodandtherandom forestalgorithm areusedtopredictthefusion
                  trendtermandthefusionperiodtermrespectivelyandsuperimposethemtoobtainthepredictedcomprehensivede
                  formationofthelandslide.(3)“Earlywarning”-Basedontheslopechangepointtheory ,the“stablepoint”and
                  “transitionpoint”ofthecomprehensivedeformationcurvearesearched,andtheaverageslopeofthestabledeform
                  ationandaccelerateddeformationintervalisdetermined.Then ,a4 - stageprogressivehierarchicalwarningmodel
                  ofstep - likelandslideisestablished ,andthecurrentsafetyofthebankslopeiswarned.Takingtheslopeautomatic
                  displacementmonitoringdataofabankslopeofXiangjiabaReservoirasanexample,thecomprehensivedeforma
                  tionpredictionandsafetywarningofthisbankslopearecarriedoutbyusingthemethodproposedinthispaper.The
                  resultsshowthatthecomprehensivedeformationtimeseriescanreflectthedeformationevolutionlawofthelandslide
                  asawhole ,andthepredictionresultsarereliable.Accordingtothehierarchicalwarningmodel,thisslopeiscur
                  rentlyinthestageofstabledeformation(GradeIearly - warning).
                  Keywords:step - likelandslide;deformationprediction;monitoringandearlywarning;datafusion;empirical
                  modedecompositionmethod;graycorrelationtheory;randomforestalgorithm;changepointanalysismethod


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