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滑坡变形切线角预警模型可以实现准确的过程化变形预警,但需要在实际应用中基于滑坡匀速变形阶段的变形速率进行计算。对于匀速变形速率呈阶段性变化的折线型滑坡,目前还难以动态自动识别匀速变形速率并及时调整,对滑坡变形的自动化预警较为不利。为解决折线型滑坡匀速变形速率的动态调整难题,提出了基于切线角预警的滑坡匀速变形速率数据处理方法,采用无量纲变形动态判识值γ对变形数据进行实时判定,通过判识方法实现滑坡匀速变形速率的自动调整,从而对滑坡变形切线角预警模型进行自动修正。同时,通过典型滑坡变形数据的实例应用进行了验证,为后续滑坡系统化、自动化实时监测预警提供技术支持。此方法适用于包括阶梯型滑坡在内的各类匀速变形速率呈阶段性变化的滑坡。
Abstract：The landslide deformation tangent angle early warning model can realize accurate process-deformation early warning, but it is necessary to be calculated based on the deformation rate during uniform deformation stage in actual application. For the broken line landslide with staged change of uniform deformation rate, it is difficult to dynamically and automatically identify the uniform deformation rate and make relevant timely adjustment, which is unfavorable to the automatic early warning of landslide deformation. In order to solve the problem of the dynamic adjustment of uniform deformation rate of the broken line landslide, a tangent angle early warning-based method for processing the data of the landslide uniform deformation rate is proposed herein, for which a dimensionless deformation dynamic identification value γ is adopted to make a real-time identification of the relevant deformation data, and then the automatic adjustment of the landslide uniform deformation rate is realized through the identification method to automatically correct the landslide deformation tangent angle early warning model. Meanwhile, the relevant verifications are made through the applications of the typical landslide deformation data from actual cases, from which the relevant technical support can be provided for the follow-up landslide systematic and automatic real-time monitoring and early warning. This method is adaptable to all kinds of landslides with staged change of uniform deformation rate, including stepped landslide.
[1] 许强，曾裕平，钱江澎，等.一种改进的切线角及对应的滑坡预警判据[J].地质通报，2009,28(4):501-505.XU Qiang,ZENG Yuping,QIAN Jiangpeng,et al.An improved tangential Angle and its corresponding landslide warning criterion [J].Geological Bulletin of China,2009,28(4):501-505.
[2] FAN X,XU Q,ALONSO-RODRIGUEZ A,et al.Successive landsliding and damming of the Jinsha River in eastern Tibet,China:prime investigation,early warning,and emergency response[J].Landslides,2019,16(5):1003-1020.
[3] 许强，彭大雷，何朝阳，等.突发型黄土滑坡监测预警理论方法研究：以甘肃黑方台为例[J].工程地质学报，2020,28(1):111-121.XU Qiang,PENG Dalei,HE Chaoyang,et al.Study on monitoring and warning theory of sudden loess landslide:A case study of Heifangtai,Gansu Province [J].Journal of Engineering Geology,2020,28(1):111-121.
[4] 韩军强.高精度GNSS实时滑坡变形监测技术及环境建模分析研究[J].测绘学报，2020,49(3):397-397.HAN Junqiang.Research on high-precision gnss real-time landslide deformation monitoring technology and environment modeling analysis [J].Acta Geodaetica et Cartographica Sinica,2020,49(3):397-397.
[5] 姬超，陈好，陈皓，等 .考虑前缘桩锚支挡作用的滑坡变形预警指标研究[J].水利水电技术，2020,51(5):139-145.JI Chao,CHEN Hao,CHEN Hao,et al .Leading edge pile anchor supporting and retaining effect-considered study on early warning index of landslide deformation [J].Water Resources and Hydropower Engineering,2020,51(5):139-145.
[6] 赵永红，王航，张琼，等.滑坡位移监测方法综述[J].地球物理学进展，2018,33(6):2606-2612.ZHAO Yonghong,WANG Hang,ZHANG Qiong,et al.A review of landslide displacement monitoring methods [J].Progress in Geophysics,2018,33(6):2606-2612.
[7] 董文文，朱鸿鹄，孙义杰，等.边坡变形监测技术现状及新进展[J].工程地质学报，2016,24(6):1088-1095.DONG Wenwen,ZHU Honghu,SUN Yijie,et al.Current status and new progress of slope deformation monitoring technology [J].Journal of Engineering Geology,2016,24(6):1088-1095.
[8] 李晓恩，周亮，苏奋振，等.InSAR技术在滑坡灾害中的应用研究进展[J].遥感学报，2021,25(2):614-629.LI Xiaoen,ZHOU Liang,SU Fenzhen,et al.Research progress in the application of InSAR technology to landslide disaster[J].Journal of Remote Sensing,201,25(2):614-629.
[9] 亓星.突发型黄土滑坡监测预警研究：以甘肃黑方台黄土滑坡为例[D].成都：成都理工大学，2017.QI Xing.Research on Monitoring and Early Warning of Sudden Loess Landslide:A Case Study of Heifangtai Loess Landslide in Gansu Province [D].Chengdu:Chengdu University of Technology,2017.
[10] 王尚庆，徐进军，罗勉.三峡库区白水河滑坡险情预警方法研究[J].武汉大学学报(信息科学版),2009,34(10):1218-1221.WANG Shangqing,XU Jinjun,LUO Mian.Study on the landslide hazard warning method of baishuihe in the Three Gorges Reservoir area[J].Geomatics and Information Science of Wuhan University,2009,34(10):1218-1221.
[11] YAO Wenmin,LI Changdong,ZUO Qingjun,et al.Spatiotemporal deformation characteristics and triggering factors of Baijiabao landslide in Three Gorges Reservoir region,China[J].Geomorphology,2019,343(15):34-47.
[12] SUN G,HONG Z,TANG H,et al.Huangtupo landslide stability under water level fluctuations of the Three Gorges Reservoir[J].Landslides,2016,13:1167-1179.
[13] HUANG H,YI W,DENG Y,et al.Near-real-time monitoring of landslide deformation and inducing hydrologic factors in Three Gorges Reservoir[C]//ASCE.Geo-Hubei 2014 International Conference on Sustainable Civil Infrastructure,Yichang,Hubei,China,2014.
[14] JU N,HUANG J,HE C,et al.Landslide early warning,case studies from Southwest China[J].Engineering Geology,2020,279(20):105917.
[15] LIU Y,LIU D,QIN Z,et al.Rainfall data feature extraction and its verification in displacement prediction of Baishuihe landslide in China[J].Bulletin of Engineering Geology and the Environment,2016,75(3):897-907.
[16] MIAO F,WU Y,XIE Y,et al.Research on progressive failure process of Baishuihe landslide based on Monte Carlo model[J].Stochastic Environmental Research And Risk Assessment,2017,31(7):1683-1696.
[17] 许强，汤明高，黄润秋，等.大型滑坡监测预警与应急处置[M].北京：科学出版社.2015.XU Qiang,TANG Minggao,HUANG Runqiu,et al.Large Landslide Monitoring and Early Warning and Emergency Treatment [M].Beijing:Science Press,2015.
[18] PENG D L,QIANG X,LIU F Z,et al.Distribution and failure modes of the landslides in Heitai terrace,China[J].Engineering Geology,2018,236(1):97-110.
[19] QI X,XU Q,LIU F Z.Analysis of retrogressive loess flowslides in Heifangtai,China[J].Engineering Geology,2018,236(1):119-128.
[20] 亓星，陶叶青.甘肃黑方台突发型黄土滑坡形成过程的物理模拟[J].科学技术与工程.2020,20(6):6357-6361.QI Xing,TAO Yeqing.Physical simulation of the formation process of burst loess landslide in Heifangtai,Gansu Province [J].Science Technology and Engineering.2020,20(6):6357-6361.
[21] 亓星，朱星，许强，等.基于斋藤模型的滑坡临滑时间预报方法改进及应用[J].工程地质学报.2020,28(4):832-839.QI Xing,ZHU Xing,XU Qiang,et al.Improvement and application of Saito model based prediction method of landslide impending slip time [J].Journal of Engineering Geology,2020,28(4):832-839.
基本信息:
DOI：10.13928/j.cnki.wrahe.2021.12.018
中图分类号:P642.22
引用信息:
[1]王一帆,亓星,程倩,等.基于切线角预警的滑坡匀速变形速率数据处理方法[J],2021,52(12):185-190.DOI:10.13928/j.cnki.wrahe.2021.12.018.
基金信息:
桥梁无损检测与工程计算四川省高校重点实验室开放基金(2021QZY01);; 四川省矿产资源研究中心开放基金(SCKCZY2021-YB009);; 大学生创新创业训练计划项目(202110622028)