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基于失稳概率的单体滑坡灾害风险定量评价及其工程应用

刘东升, 吴越, 李珂, 王艳磊. 基于失稳概率的单体滑坡灾害风险定量评价及其工程应用[J]. 中国地质灾害与防治学报, 2024, 35(4): 67-74. doi: 10.16031/j.cnki.issn.1003-8035.202212012
引用本文: 刘东升, 吴越, 李珂, 王艳磊. 基于失稳概率的单体滑坡灾害风险定量评价及其工程应用[J]. 中国地质灾害与防治学报, 2024, 35(4): 67-74. doi: 10.16031/j.cnki.issn.1003-8035.202212012
LIU Dongsheng, WU Yue, LI Ke, WANG Yanlei. Quantitative risk assessment and its application for individual landslide disaster based on slope failure probability[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(4): 67-74. doi: 10.16031/j.cnki.issn.1003-8035.202212012
Citation: LIU Dongsheng, WU Yue, LI Ke, WANG Yanlei. Quantitative risk assessment and its application for individual landslide disaster based on slope failure probability[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(4): 67-74. doi: 10.16031/j.cnki.issn.1003-8035.202212012

基于失稳概率的单体滑坡灾害风险定量评价及其工程应用

  • 基金项目: 重庆市自然科学基金面上项目(cstc2019jcyj-msxmX0228)
详细信息
    作者简介: 刘东升(1962—),男,贵州遵义人,博士,教授,主要从事地质灾害风险评估研究。E-mail:575669376@qq.com
    通讯作者: 吴 越(1981—),男,贵州黔西人,博士,高工,主要从事地质灾害风险评估研究。E-mail:wuyue@cqust.edu.cn
  • 中图分类号: P642.22

Quantitative risk assessment and its application for individual landslide disaster based on slope failure probability

More Information
  • 对潜在滑坡灾害实施风险评价至关重要,但在实际工程中单体滑坡灾害风险评价仍然以定性评价方法为主,由危险性和损失通过风险矩阵得到定性风险等级,存在风险标准多重性和不连续性的问题,不便于在实际工程中对风险大小进行比较并实施分类处置,还可能导致风险评价结果出现误差,误导风险处置。为此,运用概率模型定量描述滑坡灾害的稳定性,同时考虑承灾体的损失大小,得到单体滑坡灾害风险定量评价指标,提出了滑坡灾害风险曲面及风险等值线的概念,并开发相应的评估计算软件,形成了滑坡灾害风险定量评价方法,消除了传统滑坡风险矩阵带来的风险标准多重性和不连续性,提高了评估的准确性。通过对重庆市奉节县6个单体滑坡进行风险定量评价,验证了所提方法的正确性和可靠性,为滑坡灾害风险评价提供了新的途径。

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  • 图 1  基于滑坡定性风险评价的风险矩阵

    Figure 1. 

    图 2  半定量风险水平与控制因素关系图

    Figure 2. 

    图 3  FsPDF(均值=1,n=0.2)

    Figure 3. 

    图 4  不同稳定系数(Fs)均值和变异系数(n)情况下的滑坡失稳概率图

    Figure 4. 

    图 5  失稳概率随稳定系数均值和变异系数变化的趋势面

    Figure 5. 

    图 6  滑坡风险量化评价流程图

    Figure 6. 

    图 7  风险指数的分布

    Figure 7. 

    图 8  风险指数等值线图

    Figure 8. 

    表 1  滑坡稳定状态分类[14]

    Table 1.  Classification of landslide stability states[14]

    稳定系数(Fs Fs<1.00 1.00≤Fs<1.05 1.05≤Fs<1.15 1.15≤Fs
    稳定状态 不稳定 欠稳定 基本稳定 稳定
    下载: 导出CSV

    表 2  保护对象的等级[14]

    Table 2.  Classification of protection object levels[14]

    保护等级
    EL/(万元) EL5000 5000>EL≥500 EL<500
    TP TP≥500 500>TP≥100 TP<100
    PI 非常重要 重要 一般
    EL—经济损失;TP—受威胁者;PI—公共基础设施;
    只要满足一个条件即可以定义为相应的保护等级
    下载: 导出CSV

    表 3  受威胁人员数量引起的风险水平的变化

    Table 3.  Variations in risk levels caused by the number of endangered individuals

    稳定系数:Fs=1.04稳定状态:欠稳定
    TP:99等级:Ⅲ风险水平:低
    TP:101等级:Ⅱ风险水平:中等
    TP:499等级:Ⅱ风险水平:中等
    TP:501等级:Ⅰ风险水平:高
    下载: 导出CSV

    表 4  经济损失引起的风险水平的变化

    Table 4.  Variations in risk levels caused by the number of endangered individuals

    稳定系数: Fs=1.04稳定状态:欠稳定
    EL(万元): 490等级:Ⅲ风险水平:低
    EL(万元): 510等级:Ⅱ风险水平:中等
    EL(万元): 4990等级:Ⅱ风险水平:中等
    EL(万元): 5010等级:Ⅰ风险水平:高
    下载: 导出CSV

    表 5  失稳概率随稳定系数的变化范围(n=0.2)

    Table 5.  Variation range of failure probability with stability factor Fs (n=0.2)

    Fs 0.95 1.00 1.05 1.15
    P/% 60.38 50.00 40.59 25.71
    下载: 导出CSV

    表 7  失稳概率随变异系数的变化范围(Fs=1.20)

    Table 7.  Variation range of failure probability with coefficient of variation n (Fs=1.20)

    n 0.10 0.20 0.30
    P/% 4.78 20.24 28.88
    下载: 导出CSV

    表 6  失稳概率随变异系数的变化范围(Fs=0.95)

    Table 6.  Variation range of failure probability with coefficient of variation n (Fs=0.95)

    n 0.10 0.20 0.30
    P/% 70.05 60.38 56.92
    下载: 导出CSV

    表 8  重庆市奉节县6个滑坡的TP风险水平

    Table 8.  Ranking of TP risk for 6 landslides in Fengjie County, Chongqing

    滑坡名称 分析状态 TP等级 稳定状态 失稳概率/% TP风险等级 TP风险指数 TP 风险排名
    车家坝滑坡 大雨 1.075
    基本稳定
    28.52 高风险 1.589 1
    火石梁滑坡 大雨 1.013
    欠稳定
    34.75 中风险 0.753 2
    万家坪滑坡 大雨 1.037
    欠稳定
    31.18 中风险 0.433 3
    陈家沟滑坡 大雨
    高水位
    1.069
    基本稳定
    29.16 中风险 0.412 4
    放牛坪滑坡 大雨 1.065
    基本稳定
    29.34 中风险 0.299 5
    老林沟滑坡 大雨 1.356
    稳定
    11.77 低风险 0.264 6
    下载: 导出CSV

    表 9  重庆市奉节县6个滑坡的EL风险水平

    Table 9.  Ranking of EL risk for 6 landslides in Fengjie County, Chongqing

    滑坡名称 分析状态 EL等级 稳定状态 失稳概率/% TP风险等级 EL风险指数 EL风险排名
    车家坝滑坡 大雨 1.075
    基本稳定
    28.52 高风险 1.142 1
    陈家沟滑坡 大雨
    高水位
    1.069
    基本稳定
    29.16 中风险 1.091 2
    火石梁滑坡 大雨 1.013
    欠稳定
    34.75 中风险 0.691 3
    万家坪滑坡 大雨 1.037
    欠稳定
    31.18 中风险 0.570 4
    放牛坪滑坡 大雨 1.065
    基本稳定
    29.34 中风险 0.293 5
    老林沟滑坡 大雨 1.356
    稳定
    11.77 低风险 0.141 6
    下载: 导出CSV
  • [1]

    宋德光, 吴瑞安, 马德芹, 等. 四川泸定昔格达组滑坡灾害运动过程模拟分析[J]. 地质通报,2023,42(12):2185 − 2197. [SONG Deguang, WU Ruian, MA Deqin, et al. Simulation analysis of landslide disaster movement process in Xigeda Formation, Luding County, Sichuan Province[J]. Geological Bulletin of China,2023,42(12):2185 − 2197. (in Chinese with English abstract)]

    SONG Deguang, WU Ruian, MA Deqin, et al. Simulation analysis of landslide disaster movement process in Xigeda Formation, Luding County, Sichuan Province[J]. Geological Bulletin of China, 2023, 42(12): 2185 − 2197. (in Chinese with English abstract)

    [2]

    陶伟,胡晓波,姜元俊,等. 颗粒粒径对滑坡碎屑流动力特征及能量转化的影响——以四川省三溪村滑坡为例[J]. 地质通报,2023,42(9):1610 − 1619. [TAO Wei,HU Xiaobo,JIANG Yuanjun,et al. Influence of particle size on dynamic characteristics and energy conversion of debris flow in landslide:A case study of Sanxicun landslide in Sichuan Province[J]. Geological Bulletin of China,2023,42(9):1610 − 1619. (in Chinese with English abstract)]

    TAO Wei, HU Xiaobo, JIANG Yuanjun, et al. Influence of particle size on dynamic characteristics and energy conversion of debris flow in landslide: A case study of Sanxicun landslide in Sichuan Province[J]. Geological Bulletin of China, 2023, 42(9): 1610 − 1619. (in Chinese with English abstract)

    [3]

    张宇,徐宗恒,查玲珑,等.不同计算方法的云南省永胜县下院滑坡堰塞湖沉积物粒度特征及沉积历史重建[J/OL]. 中国地质(2022-08-22)[2023-07-12]. [ZHANG Yu,XU Zongheng,ZHA Linglong et al. [J/OL]Geology in China(2022-08-22)[2023-07-12]. http://kns.cnki.net/kcms/detail/11.1167.P.20220822.1500.018.html. (in Chinese with English abstract)]

    ZHANG Yu, XU Zongheng, ZHA Linglong et al. [J/OL]Geology in China(2022-08-22)[2023-07-12]. http://kns.cnki.net/kcms/detail/11.1167.P.20220822.1500.018.html. (in Chinese with English abstract)

    [4]

    邹凤钗,冷洋洋,陶小郎,等. 基于斜坡单元的滑坡风险识别——以贵州万山浅层土质斜坡为例[J]. 中国地质灾害与防治学报,2022,33(3):114 − 122. [ZOU Fengchai,LENG Yangyang,TAO Xiaolang,et al. Landslide hazard identification based on slope unit:A case study of shallow soil slope in Wanshan,Guizhou Province[J]. The Chinese Journal of Geological Hazard and Control,2022,33(3):114 − 122. (in Chinese with English abstract)]

    ZOU Fengchai, LENG Yangyang, TAO Xiaolang, et al. Landslide hazard identification based on slope unit: A case study of shallow soil slope in Wanshan, Guizhou Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 114 − 122. (in Chinese with English abstract)

    [5]

    曾斌,吕权儒,寇磊,等. 基于Logistic回归和随机森林的清江流域长阳库岸段堆积层滑坡易发性评价[J]. 中国地质灾害与防治学报,2023,34(4):105 − 113. [ZENG Bin, LYU Quanru, KOU Lei, et al. Susceptibility assessment of colluvium landslides along the Changyang section of Qingjiang River using Logistic regression and random forest methods[J]. The Chinese Journal of Geological Hazard and Control,2023,34(4):105 − 113. (in Chinese with English abstract)]

    ZENG Bin, LYU Quanru, KOU Lei, et al. Susceptibility assessment of colluvium landslides along the Changyang section of Qingjiang River using Logistic regression and random forest methods[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(4): 105 − 113. (in Chinese with English abstract)

    [6]

    贾雨霏,魏文豪,陈稳,等. 基于SOM-I-SVM耦合模型的滑坡易发性评价[J]. 水文地质工程地质,2023,50(3):125 − 137. [JIA Yufei, WEI Wenhao, CHEN Wen, et al. Landslide susceptibility assessment based on the SOM-I-SVM model[J]. Hydrogeology & Engineering Geology,2023,50(3):125 − 137. (in Chinese with English abstract)]

    JIA Yufei, WEI Wenhao, CHEN Wen, et al. Landslide susceptibility assessment based on the SOM-I-SVM model[J]. Hydrogeology & Engineering Geology, 2023, 50(3): 125 − 137. (in Chinese with English abstract)

    [7]

    ABEDINI M,GHASEMIAN B,SHIRZADI A,et al. A novel hybrid approach of bayesian logistic regression and its ensembles for landslide susceptibility assessment[J]. Geocarto International,2019,34(13):1427 − 1457. doi: 10.1080/10106049.2018.1499820

    [8]

    POURGHASEMI H R,KORNEJADY A,KERLE N,et al. Investigating the effects of different landslide positioning techniques,landslide partitioning approaches,and presence-absence balances on landslide susceptibility mapping[J]. CATENA,2020,187:104364. doi: 10.1016/j.catena.2019.104364

    [9]

    SHAFIZADEH-MOGHADAM H,MINAEI M,SHAHABI H,et al. Big data in Geohazard;pattern mining and large scale analysis of landslides in Iran[J]. Earth Science Informatics,2019,12(1):1 − 17. doi: 10.1007/s12145-018-0354-6

    [10]

    GAO Wenwei,GAO Wei,HU Ruilin,et al. Microtremor survey and stability analysis of a soil-rock mixture landslide:A case study in Baidian town,China[J]. Landslides,2018,15(10):1951 − 1961. doi: 10.1007/s10346-018-1009-x

    [11]

    WU Yiping,MIAO Fasheng,LI Linwei,et al. Time-varying reliability analysis of Huangtupo Riverside No. 2 Landslide in the Three Gorges Reservoir based on water-soil coupling[J]. Engineering Geology,2017,226:267 − 276. doi: 10.1016/j.enggeo.2017.06.016

    [12]

    YANG Beibei,YIN Kunlong,XIAO Ting,et al. Annual variation of landslide stability under the effect of water level fluctuation and rainfall in the Three Gorges Reservoir,China[J]. Environmental Earth Sciences,2017,76(16):564. doi: 10.1007/s12665-017-6898-9

    [13]

    重庆市城乡建设委员会. 重庆市城市地质灾害防治工程设计规范:JTG D70—2004[S]. 重庆:2004. [Chongqing Urban Rural Development Committee E. C. S. i (2004) Code for design of geological hazard control engineering:JTG D70—2004[S]. Chongqing:2004. (in Chinese)]

    Chongqing Urban Rural Development Committee E. C. S. i (2004) Code for design of geological hazard control engineering: JTG D70—2004[S]. Chongqing: 2004. (in Chinese)

    [14]

    国家质量监督检验检疫总局,中国国家标准化管理委员会. 滑坡防治工程勘查规范:GB/T 32864—2016[S]. 北京:中国标准出版社,2017. [General Administration of Quality Supervision,Inspection and Quarantine of the People’s Republic of China,Standardization Administration of the People’s Republic of China. Code for geological investigation of landslide prevention:GB/T 32864—2016[S]. Beijing:Standards Press of China,2017. (in Chinese)]

    General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China. Code for geological investigation of landslide prevention: GB/T 32864—2016[S]. Beijing: Standards Press of China, 2017. (in Chinese)

    [15]

    解明礼,巨能攀,刘蕴琨,等,崩塌滑坡地质灾害风险排序方法研究[J]. 水文地质工程地质,2022,48(5):184 − 191. [XIE Mingli,JU Nengpan,LIU Yunkun,et. A study of the risk ranking method of landslides and collapses[J]. Hydrogeology & Engineering Geology. 2022,48(5):184 − 191(in Chinese with English abstract)]

    XIE Mingli, JU Nengpan, LIU Yunkun, et. A study of the risk ranking method of landslides and collapses[J]. Hydrogeology & Engineering Geology. 2022, 48(5): 184 − 191(in Chinese with English abstract)

    [16]

    吴越,刘东升,孙树国,等. 岩土强度参数正态–逆伽马分布的最大后验估计[J]. 岩石力学与工程学报,2019,38(6):1188 − 1196. [WU Yue,LIU Dongsheng,SUN Shuguo,et al. Maximum posteriori estimation of strength parameters for geotechnical material obeying normal-inverse Gamma distribution[J]. Chinese Journal of Rock Mechanics and Engineering,2019,38(6):1188 − 1196. (in Chinese with English abstract)]

    WU Yue, LIU Dongsheng, SUN Shuguo, et al. Maximum posteriori estimation of strength parameters for geotechnical material obeying normal-inverse Gamma distribution[J]. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(6): 1188 − 1196. (in Chinese with English abstract)

    [17]

    盛骤,谢式千,潘承毅. 概率论与数理统计[M]. 5版. 北京:高等教育出版社,2019. [SHENG Zhou,XIE Shiqian,PAN Chengyi. Probability and mathematical statistics[M]. 5th ed. Beijing:Higher Education Press,2019. (in Chinese)]

    SHENG Zhou, XIE Shiqian, PAN Chengyi. Probability and mathematical statistics[M]. 5th ed. Beijing: Higher Education Press, 2019. (in Chinese)

    [18]

    VAN DAO D,JAAFARI A,BAYAT M,et al. A spatially explicit deep learning neural network model for the prediction of landslide susceptibility[J]. CATENA,2020,188:104451. doi: 10.1016/j.catena.2019.104451

    [19]

    CHEN Wei,SHAHABI H,SHIRZADI A,et al. Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling[J]. Bulletin of Engineering Geology and the Environment,2019,78(6):4397 − 4419. doi: 10.1007/s10064-018-1401-8

    [20]

    吴越,向灵均,吴同情,等. 基于受灾体空间概率的滑坡灾害财产风险定量评估[J]. 岩石力学与工程学报,2020,39(增刊2):3464 − 3474. [WU Yue,XIANG Lingjun,WU Tongqing,et al. Quantitative assessment of property risk of landslide disaster based on spatial probability of affected body[J]. Chinese Journal of Rock Mechanics and Engineering,2020,39(Sup 2):3464 − 3474. (in Chinese with English abstract)]

    WU Yue, XIANG Lingjun, WU Tongqing, et al. Quantitative assessment of property risk of landslide disaster based on spatial probability of affected body[J]. Chinese Journal of Rock Mechanics and Engineering, 2020, 39(Sup 2): 3464 − 3474. (in Chinese with English abstract)

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出版历程
收稿日期:  2022-12-23
修回日期:  2023-05-07
刊出日期:  2024-08-25

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