基于地下水位变化的滑坡预测时序分析

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Abstract The loose deposit landslide was significantly influenced by the groundwater level which was easily monitored and changed before the slope surface moving. Based on the relationship between surface displacement and groundwater level，taking the monitoring of the groundwater level as landslide prediction or aided prediction had a broad prospect. The vector auto-regression model could be applied to analyze the data sequences. It synthesized the correlation and regression analysis of data sequences and could be used to analyze the time lag effect and the relation among several time series. Based on the concept that the downslide thrust of landslide would vary with groundwater level，the measured data of groundwater level could be converted into thrust which induced the change of slope acceleration. And then，the vector auto-regression model which included the measured acceleration of landslide and nominal acceleration stemming from thrust calculated by groundwater level was built. The effect law of groundwater level on surface displacement and the lag time could be estimated by the use of the model. The validity of built model in landslide displacement prediction was verified by application it to the No.6 landslide of Shangyu—Sanmen highway；and it provided reference for similar landslide prediction.

Key words： slope engineering landslide prediction groundwater level accumulational landslide time series analysis vector auto-regression

Received: 08 April 2011

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https://rockmech.whrsm.ac.cn/EN/Y2011/V30/I11/2276

[1] SU M B，CHEN I H，LIAO C H. Using TDR cables and GPS for landslide monitoring in high mountain area[J]. Journal of Geotechnical and Geoenvironmental Engineering，2009，135(8)：1 113–1 121. [2] 吴李泉，张锋，凌贤长，等. 强降雨条件下浙江武义平头村山体高边坡稳定性分析[J]. 岩石力学与工程学报，2009，28(6)：1 193– 1 199.(WU Liquan，ZHANG Feng，LING Xianzhang，et al. Stability analysis of high slope subjected to heavy rainfall in Pingtou Village of Wuyi County，Zhejiang Province[J]. Chinese Journal of Rock Mechanics and Engineering，2009，28(6)：1 193–1 199.(in Chinese)) [3] APIP K，TAKARA Y. YAMASHIKI，et al. A distributed hydrological- geotechnical model using satellite-derived rainfall estimates for shallow landslide prediction system at a catchment scale[J]. Landslides，2010，7(3)：237–258. [4] LING H I，WU M H，LESHCHINSKY D，et al. Centrifuge modeling of slope instability[J]. Journal of Geotechnical and Geoenvironmental Engineering，2009，135(6)：758–767. [5] CASCINI L，CALVELLO M，GRIMALDI G M. Groundwater modeling for the analysis of active slow-moving landslides[J]. Journal of Geotechnical and Geoenvironmental Engineering，2010，136(9)：1 220–1 230. [6] UCHIDA T. Clarifying the role of pipe flow on shallow landslide initiation[J]. Hydrological Processes，2004，18(2)：375–378. [7] 霍再林，冯绍元，康绍忠，等. 神经网络与地下水流动数值模型在干旱内陆区地下水位变化分析中的应用[J]. 水利学报，2009，40(6)：724–728.(HUO Zailin，FENG Shaoyuan，KANG Shaozhong，et al. Application of ANN and FEFLOW model to simulate groundwater level variation in arid inland area[J]. Journal of Hydraulic Engineering，2009，40(6)：724–728.(in Chinese)) [8] 赖道平，吴中如，周红. 分形学在大坝安全监测资料分析中的应用[J]. 水利学报，2004，35(1)：100–104.(LAI Daoping，WU Zhongru，ZHOU Hong. Application of fractal theory to analyze dam safety monitoring data[J]. Journal of Hydraulic Engineering，2004，35(1)：100–104.(in Chinese)) [9] 张勇，关伟. 基于最大Lyapunov指数的多变量混沌时间序列预测[J]. 物理学报，2009，58(2)：756–763.(ZHANG Yong，GUAN Wei. Predication of multivariable chaotic time series based on maximal Lyapunov exponent[J]. Acta Physica Sinica，2009，58(2)：756–763.(in Chinese)) [10] 陈剑，杨志法，李晓. 三峡库区滑坡发生概率与降水条件的关系[J]. 岩石力学与工程学报，2005，24(17)：3 052–3 056.(CHEN Jian，YANG Zhifa，LI Xiao. Relationship between landslide probability and rainfall in Three Gorges Reservoir area[J]. Chinese Journal of Rock Mechanics and Engineering，2005，24(17)：3 052– 3 056.(in Chinese)) [11] 丛威青，潘懋，李铁锋，等. 降雨型泥石流临界雨量定量分析[J]. 岩石力学与工程学报，2006，25(增1)：2 808–2 812.(CONG Weiqing，PAN Mao，LI Tiefeng，et al. Quantitative analysis of critical rainfall-triggered debris flows[J]. Chinese Journal of Rock Mechanics and Engineering，2006，25(Supp.1)：2 808–2 812.(in Chinese)) [12] 杨永波，刘明贵，岳向红，等. 基于灰色理论和神经网络的边坡位移预测[J]. 自然灾害学报，2008，17(2)：138–143.(YANG Yongbo，LIU Minggui，YUE Xianghong，et al. Prediction of slope displacement based on gray model and neural network[J]. Journal of Natural Disasters，2008，17(2)：138–143.(in Chinese)) [13] 贺可强，王荣鲁，李新志，等. 堆积层滑坡的地下水加卸载动力作用规律及其位移动力学预测——以三峡库区八字门滑坡分析为例[J]. 岩石力学与工程学报，2008，27(8)：1 644–1 651.(HE Keqiang，WANG Ronglu，LI Xinzhi，et al. Load-unload dynamic law of groundwater level and dynamic displacement prediction of debris landslide—a case study of Bazimen landslide in Three Gorges Reservoir[J]. Chinese Journal of Rock Mechanics and Engineering，2008，27(8)：1 644–1 651.(in Chinese)). [14] 徐峰，汪洋，杜娟，等. 基于时间序列分析的滑坡位移预测模型研究[J]. 岩石力学与工程学报，2011，30(4)：746–751.(XU Feng，WANG Yang，DU Juan，et al. Study of displacement prediction model of landslide based on time series analysis[J]. Chinese Journal of Rock Mechanics and Engineering，2011，30(4)：746–751.(in Chinese)) [15] 杨位钦，顾岚. 时间序列分析与动态数据建模[M]. 北京：北京理工大学出版社，1988：100–327.(YANG Weiqin，GU Lan. Time series analysis and dynamic data model[M]. Beijing：Beijing Institute of Technology Press，1988：100–327.(in Chinese)) [16] 高铁梅. 计量经济分析方法与建模：EViews应用及实例[M]. 北京：清华大学出版社，2006：130–133，249–263.(GAO Tiemei. Econometric method and modeling：application and examples of Eviews[M]. Beijing：Tsinghua University Press，2006：130–133，249–263.(in Chinese)) [17] 孙红月，尚岳全. 浙江上三公路6#滑坡的地下水作用与控制[J]. 岩石力学与工程学报，2006，25(3)：505–510.(SUN Hongyue，SHANG Yuequan. Groundwater effect on landslide and its control along Shangyu—Sanmen Highway in Zhejiang Province[J]. Chinese Journal of Rock Mechanics and Engineering，2006，25(3)：505–510.(in Chinese)) [18] FREDLUND D G，XING A，FREDLUND M D，et al. The relationship of the unsaturated soil shear strength to the soil-water characteristic curve[J]. Canadian Geotechnical Journal，1996，33(3)：440–448. [19] MONTRASIO L，VALENTINO R. A model for triggering mechanisms of shallow landslides[J]. Natural Hazards and Earth System Sciences，2008，8(5)：1 149–1 159. [20] POWRIE W. Contributions to géotechnique 1948–2008：groundwater[J]. Géotechnique，2008，58(5)：435–439. [21] GHIASSIAN H，GHAREH S. Stability of sandy slopes under seepage conditions[J]. Landslides，2008，5(4)：397–406. [22] 杨忠平，卢文喜，李平. 时间序列模型在吉林西部地下水动态变化预测中的应用[J]. 水利学报，2005，36(12)：1 475–1 479.(YANG Zhongping，LU Wenxi，LI Ping. Application of time-series model to predict groundwater regime[J]. Journal of Hydraulic Engineering，2005，36(12)：1 475–1 479.(in Chinese))