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降雨和地震條件下淺層黃土滑坡三維穩定性評價

李泊良 張帆宇

李泊良, 張帆宇. 降雨和地震條件下淺層黃土滑坡三維穩定性評價[J]. 工程科學學報, 2022, 44(3): 440-450. doi: 10.13374/j.issn2095-9389.2020.10.08.002
引用本文: 李泊良, 張帆宇. 降雨和地震條件下淺層黃土滑坡三維穩定性評價[J]. 工程科學學報, 2022, 44(3): 440-450. doi: 10.13374/j.issn2095-9389.2020.10.08.002
LI Bo-liang, ZHANG Fan-yu. Three-dimensional stability evaluation of shallow loess landslides under rainfall and earthquake conditions[J]. Chinese Journal of Engineering, 2022, 44(3): 440-450. doi: 10.13374/j.issn2095-9389.2020.10.08.002
Citation: LI Bo-liang, ZHANG Fan-yu. Three-dimensional stability evaluation of shallow loess landslides under rainfall and earthquake conditions[J]. Chinese Journal of Engineering, 2022, 44(3): 440-450. doi: 10.13374/j.issn2095-9389.2020.10.08.002

降雨和地震條件下淺層黃土滑坡三維穩定性評價

doi: 10.13374/j.issn2095-9389.2020.10.08.002
基金項目: 國家自然科學基金資助項目(42090053,41977212);蘭州大學中央高校基本科研業務費專項資金資助項目(lzujbky-2021-ct04)
詳細信息
    通訊作者:

    E-mail: Zhangfy@lzu.edu.cn

  • 中圖分類號: P642.22

Three-dimensional stability evaluation of shallow loess landslides under rainfall and earthquake conditions

More Information
  • 摘要: 以蘭州市大沙溝流域淺層黃土滑坡為研究對象,整合降雨滲透模型到黃土斜坡三維確定性模型,評價不同降雨和地震耦合效應下淺層黃土滑坡穩定性,并用混淆矩陣法和受試者工作特征曲線法(ROC)評價穩定性評價預測的結果。研究結果發現,耦合降雨入滲和地震的三維確定性模型,對流域尺度淺層黃土滑坡穩定性評價具有較好效果,能作為降雨和地震誘發黃土滑坡災害評價和早期預警的工具,對加強不同尺度極端事件下黃土滑坡災害時空災害評價和預測具有重要參考價值。

     

  • 圖  1  Scoops3D檢索原理圖

    Figure  1.  Retrieval principle of Scoops3D

    圖  2  單元柵格示意圖

    Figure  2.  Schematic diagram of cell grid

    圖  3  參數敏感性分析結果

    Figure  3.  Sensitivity analysis results of parameter

    圖  4  研究區的數字高程模型和滑坡分布圖

    Figure  4.  Study area digital elevation model and landslide distribution map

    圖  5  土水特征曲線圖

    Figure  5.  Soil water characteristic curve

    圖  6  降雨作用下穩定性評價圖。(a)無雨狀態;(b)中雨狀態;(c)暴雨狀態

    Figure  6.  Stability evaluation under rainfall: (a) no rain; (b) moderate rain; (c) heavy rain

    圖  7  地震作用下穩定性評價圖。(a)Keq=0.05;(b)Keq=0.10;(c)Keq=0.20

    Figure  7.  Stability evaluation under earthquake: (a) Keq=0.05; (b) Keq=0.10; (c) Keq=0.20

    圖  8  降雨地震作用下穩定性評價圖。(a)中雨+0.05;(b)中雨+0.10;(c)中雨+0.20;(d)暴雨+0.05;(e)暴雨+0.10;(f)暴雨+0.20

    Figure  8.  Stability evaluation under rainfall and earthquake: (a) moderate rain +0.05; (b) moderate rain +0.10; (c) moderate rain+0.20; (d) heavy rain +0.05; (e) heavy rain +0.10; (f) heavy rain +0.20

    圖  9  失穩斜坡體積統計圖(a)和穩定性分級面積堆積圖(b)(圖中N指無雨,M指中雨,H指大雨,如M0.05指中雨和0.05地震加速度系數耦合情況)

    Figure  9.  Volume statistics of unstable slopes (a) and stacking diagrams of the graded area of stability (b) (N refers to no rain, M refers to moderate rain, and H refers to heavy rain. For example, M0.05 refers to the coupling of moderate rain and 0.05 earthquake acceleration coefficient)

    圖  10  混淆矩陣結果

    Figure  10.  Confusion matrix result

    圖  11  ROC曲線評價結果。(a)降雨情況;(b)地震情況;(c)耦合情況(圖中N指無雨,M指中雨,H指大雨。如M0.05指中雨和0.05地震加速度系數耦合情況)

    Figure  11.  ROC curve evaluation results: (a) rainfall; (b) earthquake; (c) coupling (N refers to no rain, M refers to moderate rain, and H refers to heavy rain, M0.05 refers to the coupling of moderate rain and 0.05 earthquake acceleration coefficient)

    表  1  敏感性分析參數變化范圍

    Table  1.   Variation range of sensitivity analysis parameters

    ItemR /mC/kPaA/m2W/N? /(°)Kequ/kPa
    Range3–1510–5010–2.0×104100–2.0×10610–300–0.2?50–100
    Standard9301.0×1041.1×106200.125
    下載: 導出CSV

    表  2  土參數取值表

    Table  2.   Soil parameter value table

    C /
    kPa
    γ /
    (kN?m?3)
    ?/
    (°)
    Permeability coefficient,
    k /(m?s?1)
    Hydraulic diffusivity,
    hd /(m3?s?1)
    3015292.4×10?62.4×10?4
    下載: 導出CSV
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