Risk analysis model for landslide mass of high slope in dam area

被引:3
|
作者
Gu ChongShi [1 ,2 ]
He XianFeng [3 ,4 ]
Wu ZhongRu [1 ,2 ]
Su HuaiZhi [1 ,2 ]
机构
[1] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Peoples R China
[2] Natl Engn Res Ctr Water Resources Efficient Utili, Nanjing 210098, Peoples R China
[3] Yellow River Inst Hydraul Res, Zhengzhou 450003, Peoples R China
[4] Embankment Secur Defect Prevent & Control Engn Re, Zhengzhou 450003, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
landslide; dam failure risk; landslide risk;
D O I
10.1007/s11431-008-6002-5
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In order to identify the threat of reservoir bank landslide to dam safety and reduce the risk of dam failure, impact factors of the landslide are analyzed. The concept of landslide risk degree is put forward to measure the threat of landslide to dam safety. The monotony of the landslide risk assessment function which changes with different affecting factors is analyzed qualitatively. Based on gene automatic programming, a data mining model of the landslide risk assessment function is constructed combined with impact factors of reservoir bank landslide on dam safety. And the assessment function of landslide risk has been excavated and established according to practical project information, which provides a valuable reference for analyzing the impact of landslide on dam risk.
引用
收藏
页码:25 / 31
页数:7
相关论文
共 50 条
  • [1] Risk analysis model for landslide mass of high slope in dam area
    ChongShi Gu
    XianFeng He
    ZhongRu Wu
    HuaiZhi Su
    [J]. Science in China Series E: Technological Sciences, 2008, 51 : 25 - 31
  • [2] Risk analysis model for landslide mass of high slope in dam area
    GU ChongShiHE XianFengWU ZhongRu SU HuaiZhi College of Water Conservancy and Hydropower EngineeringHohai UniversityNanjing China National Engineering Research Center of Water Resources Efficient Utilization and Engineering SafetyNanjing China Yellow River Institute of Hydraulic ResearchZhengzhou China Embankment Security Defect Prevention and Control Engineering Research Center of MWRZhengzhou China
    [J]. Science in China(Series E:Technological Sciences), 2008, (Series E:Technological Sciences) : 25 - 31
  • [3] Risk analysis model for landslide mass of high slope in dam area
    GU ChongShi1
    2 National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety
    3 Yellow River Institute of Hydraulic Research
    4 Embankment Security Defect Prevention and Control Engineering Research Center of MWR
    [J]. Science China Technological Sciences, 2008, (S2) : 25 - 31
  • [4] Analysis on failure of slope and landslide dam
    Regmi, Ram Krishna
    Lee, Giha
    Jung, Kwansue
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2013, 17 (05) : 1166 - 1178
  • [5] Analysis on failure of slope and landslide dam
    Ram Krishna Regmi
    Giha Lee
    Kwansue Jung
    [J]. KSCE Journal of Civil Engineering, 2013, 17 : 1166 - 1178
  • [6] Probabilistic analysis of slope in Amiyan landslide area, Uttarakhand
    Singh, Rajesh
    Umrao, R. K.
    Singh, T. N.
    [J]. GEOMATICS NATURAL HAZARDS & RISK, 2013, 4 (01) : 13 - 29
  • [7] Stability analysis of landslide dam with high permeability region: A case study of Hongshihe landslide dam
    Shi, Zhenming
    Xiong, Xi
    Peng, Ming
    Lin, Minglang
    [J]. Shuili Xuebao/Journal of Hydraulic Engineering, 2015, 46 (10): : 1162 - 1171
  • [8] Role of slope reliability analysis in landslide risk management
    Chowdhury, R.
    Flentje, P.
    [J]. Bulletin of Engineering Geology and the Environment, 2003, Springer Verlag (62) : 41 - 46
  • [9] Slope stability of Tehri Dam Reservoir Area, India, using landslide hazard zonation (LHZ) mapping
    Gupta, P
    Anbalagan, R
    [J]. QUARTERLY JOURNAL OF ENGINEERING GEOLOGY, 1997, 30 : 27 - 36
  • [10] Dam-break risk analysis of the Attabad landslide dam in Pakistan and emergency countermeasures
    Xiaoqing Chen
    Peng Cui
    Yong You
    Zunlan Cheng
    Asif Khan
    Chengyin Ye
    Shu Zhang
    [J]. Landslides, 2017, 14 : 675 - 683