Earthquake-induced landslide displacement attenuation models and application in probabilistic seismic landslide displacement analysis

被引:5
|
作者
Zhang Jian [1 ]
Cui Peng [2 ]
Zhang Bingkun [1 ]
Yang Changwei [1 ]
McVerry, Graeme H. [3 ]
机构
[1] SW Jiaotong Univ, Chengdu 610031, Peoples R China
[2] Chinese Acad Sci, Inst Mountainous & Disaster, Chengdu 610041, Peoples R China
[3] GNS Sci, Lower Hutt, New Zealand
关键词
displacement; landslide; intensity measures; deterministic analysis; probabilistic analysis; DAMS;
D O I
10.1007/s11803-010-0004-6
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A landslide displacement (D-LL) attenuation model has been developed using spectral intensity and a ratio of critical acceleration coefficient to ground acceleration coefficient. In the development of the model, a New Zealand earthquake record data set with magnitudes ranging from 5.0 to 7.2 within a source distance of 175 km is used. The model can be used to carry out deterministic landslide displacement analysis, and readily extended to carry out probabilistic seismic landslide displacement analysis. D-LL attenuation models have also been developed by using earthquake source terms, such as magnitude and source distance, that account for the effects of earthquake fault type, source type, and site conditions. Sensitivity analyses show that the predicted D-LL values from the new models are close to those from the Romeo model that was developed from an Italian earthquake record data set. The proposed models are also applied to an analysis of landslide displacements in the Wenchuan earthquake, and a comparison between the predicted and the observed results shows that the proposed models are reliable, and can be confidently used in mapping landslide potential.
引用
收藏
页码:177 / 187
页数:11
相关论文
共 50 条
  • [31] Regression models for estimating coseismic landslide displacement
    Jibson, Randall W.
    ENGINEERING GEOLOGY, 2007, 91 (2-4) : 209 - 218
  • [32] Supplemental Evaluation of Landslide Displacement Prediction Models
    Tian Y.
    Chang X.
    Zhao W.
    Cheng C.
    Bronte S.
    Deng Y.
    Ma R.
    Zhang J.
    Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis, 2024, 60 (03): : 513 - 520
  • [33] Probabilistic assessment of earthquake-induced landslide hazard including the effects of ground motion directionality
    Song, Jian
    Gao, Yufeng
    Feng, Tugen
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2018, 105 : 83 - 102
  • [34] Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards
    Wang, Ming
    Liu, Min
    Yang, Saini
    Shi, Peijun
    INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE, 2014, 5 (02) : 125 - 135
  • [35] Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards
    Ming Wang
    Min Liu
    Saini Yang
    Peijun Shi
    International Journal of Disaster Risk Science, 2014, 5 (02) : 125 - 135
  • [36] Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards
    Ming Wang
    Min Liu
    Saini Yang
    Peijun Shi
    International Journal of Disaster Risk Science, 2014, 5 : 125 - 135
  • [37] Hazards zonation for potential earthquake-induced landslide area
    Chen Xiao-Li
    Ran Hong-Liu
    Wang Ming-Ming
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2012, 55 (04): : 1269 - 1277
  • [38] DEM-Based analysis of earthquake-induced shallow landslide susceptibility
    Hasegawa S.
    Dahal R.K.
    Nishimura T.
    Nonomura A.
    Yamanaka M.
    Geotechnical and Geological Engineering, 2009, 27 (3) : 419 - 430
  • [39] Dynamic discrete analysis of an earthquake-induced large-scale landslide
    Wu, Jian-Hong
    Lin, Jeen-Shang
    Chen, Chao-Shi
    INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2009, 46 (02) : 397 - 407
  • [40] Susceptibility Analysis of Earthquake-Induced Landslide Using Random Forest Method
    Miao, T. Y.
    Wang, M.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL APPLICATIONS (CISIA 2015), 2015, 18 : 771 - 775