ISSN 1003-8035 CN 11-2852/P
  • 中国科技核心期刊
  • CSCD收录期刊
  • Caj-cd规范获奖期刊
欢迎扫码关注“i环境微平台”

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于滑坡破坏模式分析的易发性评价

朱宇航 黄海峰 殷坤龙 郭子正 郭飞 赖鹏

朱宇航,黄海峰,殷坤龙,等. 基于滑坡破坏模式分析的易发性评价−以三峡库区首段泄滩河左岸为例[J]. 中国地质灾害与防治学报,2023,34(2): 156-166 doi: 10.16031/j.cnki.issn.1003-8035.202112035
引用本文: 朱宇航,黄海峰,殷坤龙,等. 基于滑坡破坏模式分析的易发性评价−以三峡库区首段泄滩河左岸为例[J]. 中国地质灾害与防治学报,2023,34(2): 156-166 doi: 10.16031/j.cnki.issn.1003-8035.202112035
ZHU Yuhang,HUANG Haifeng,YIN Kunlong,et al. Evaluation of landslide susceptibility based on landslide failure mode analysis: A case study of the left bank of Xietan River in the first section of Three Gorges Reservoir[J]. The Chinese Journal of Geological Hazard and Control,2023,34(2): 156-166 doi: 10.16031/j.cnki.issn.1003-8035.202112035
Citation: ZHU Yuhang,HUANG Haifeng,YIN Kunlong,et al. Evaluation of landslide susceptibility based on landslide failure mode analysis: A case study of the left bank of Xietan River in the first section of Three Gorges Reservoir[J]. The Chinese Journal of Geological Hazard and Control,2023,34(2): 156-166 doi: 10.16031/j.cnki.issn.1003-8035.202112035

基于滑坡破坏模式分析的易发性评价

doi: 10.16031/j.cnki.issn.1003-8035.202112035
基金项目: 国家自然科学基金项目 (42107489);水电工程智能视觉监测湖北省重点实验室开放基金项目(2020SDSJ02);三峡库区地质灾害教育部重点实验室开放基金项目(2020KDZ09)
详细信息
    作者简介:

    朱宇航(1999-),男,硕士,主要从事地质灾害风险评价方面的研究工作。E-mail:cugzyh@cug.edu.cn

    通讯作者:

    黄海峰(1978-),男,博士,教授,主要从事地质灾害监测防治等方面的教学与科研工作。E-mail:hhf@ctgu.edu.cn

  • 中图分类号: P642.22

Evaluation of landslide susceptibility based on landslide failure mode analysis: A case study of the left bank of Xietan River in the first section of Three Gorges Reservoir

  • 摘要: 三峡库区首段发育有大量岩质滑坡,其中很多灾害点极具隐蔽性且目前并未被查明。文中以三峡库区首段泄滩河左岸为研究区,以区内唯一破坏的卡门子湾顺层岩质滑坡为例,在分析其成因机制的基础上归纳总结了该地区顺层岩质滑坡的破坏模式,并以此确定了高程、坡度、坡向、起伏度、平面曲率、剖面曲率、地层岩性、距河流距离及距道路距离共9个评价指标因子及疑似滑坡隐患点,将这些灾害隐患点作为滑坡样本,运用ALSA模型开展研究区的滑坡易发性分区,最后采用ROC曲线及现场复查等方法验证评价结果的可靠性。预测结果表明:研究区内顺层岩质滑坡的极高易发区和较高易发区大致呈面状分布,主要集中在岩性为侏罗系中统上沙溪庙组紫红色泥岩夹砂岩和西北坡向的近库岸地区。现场验证发现易发分区结果与滑坡破坏模式分布规律较吻合,表明基于滑坡破坏模式选择滑坡样本得到的滑坡易发性结果在整体上也能反映研究区滑坡概率空间分布规律,在缺乏准确滑坡样本时可作为一种替补方案。上述研究结果为基于滑坡破坏模式选取滑坡样本开展易发性评价工作提供了理论支持和科学依据。
  • 图  1  研究区位置图

    Figure  1.  Location map of the study area

    图  2  泄滩河左岸现场调查图(摄于2020年8月)

    Figure  2.  Field geotechnical photo of the left bank of Xietan River (August 2020)

    图  3  卡门子湾滑坡全貌及优势结构面

    Figure  3.  Arial view and dominant structural plane of Kamenziwan landslide

    图  4  卡门子湾滑坡结构面赤平投影

    Figure  4.  Equated projection of Kamenziwan landslide section

    图  5  卡门子湾滑坡破坏前后库水位和降雨量

    Figure  5.  Summery of reservoir water level and rainfall before and after Kamenziwan landslide failure

    图  6  卡门子湾滑坡破坏模式概化示意图

    Figure  6.  Generalized schematic diagram of failure mode of Kamenziwan landslide

    图  7  泄滩河北段粉砂岩山脊夹泥岩沟谷微地貌示意图

    Figure  7.  The terrain and watershed partition of siltstone ridge and mudstone valley in Xietan River north section

    图  8  易发性评价指标图层

    Figure  8.  Layer of susceptibility assessment index

    图  9  疑似滑坡区为训练样本的滑坡易发性分区图

    Figure  9.  Distribution map of landslide susceptibility area

    图  10  易发性结果ROC曲线

    Figure  10.  ROC curve of susceptibility results

    图  11  现场验证位置及照片(摄于2021年1月)

    Figure  11.  Field review verification photos (January 2021)

    表  1  卡门子湾滑坡破坏模式总结表

    Table  1.   Summary table of failure mode of Kamenziwan landslide

    岸坡类型缓倾切向坡
    破坏模式视倾向顺层牵引式滑坡
    孕灾(六面体)
    结构面
    斜坡表面“上陡下缓前临空”的台阶状折线地形
    底部滑带左侧顺层,右侧切层
    前缘剪出口河流冲刷侵蚀形成临空面,
    剪出口高程在145~175 m
    后缘边界一组陡倾结构面切割,出露岩层切面
    左侧边界多组结构面相互切割形成阶梯状边界
    右侧边界岩层面
    边界特征两个约束边界(右、后)+两个自由边界(左、前)
    物质组成
    条件
    滑体块裂岩体
    滑带中后部由三组结构面及岩层面形成阶梯状
    滑带,前部岩层溃曲形成缓倾结构面
    滑床侏罗系中统沙溪庙组(J2s)上部灰绿色砂岩
    夹泥岩,下部紫红色泥岩夹砂岩
    下载: 导出CSV

    表  2  卡门子湾滑坡区易发性结果分析表

    Table  2.   Summey table of landslide susceptibility results at Kamenziwan landslide area

    以疑似滑坡区为样本的滑坡易发性评价结果
    卡门子湾滑坡区栅格数各分区占比/%极高及较高易发区占比/%
    极高易发598626.682.8
    高易发1264056.2
    中易发375016.7
    低易发1130.5
    极低易发00.0
    总计22489100
    下载: 导出CSV
  • [1] 殷坤龙,朱良峰. 滑坡灾害空间区划及GIS应用研究[J]. 地学前缘,2001,8(2):279 − 284. [YIN Kunlong,ZHU Liangfeng. Landslide hazard zonation and application of GIS[J]. Earth Science Frontiers,2001,8(2):279 − 284. (in Chinese with English abstract) doi: 10.3321/j.issn:1005-2321.2001.02.010
    [2] 黄波林,殷跃平,李滨,等. 三峡工程库区岩溶岸坡岩体劣化及其灾变效应[J]. 水文地质工程地质,2020,47(4):51 − 61. [HUANG Bolin,YIN Yueping,LI Bin,et al. Rock mass deterioration and its catastrophic effect of karst bank slope in the Three Gorges Project Reservoir area[J]. Hydrogeology & Engineering Geology,2020,47(4):51 − 61. (in Chinese with English abstract) doi: 10.16030/j.cnki.issn.1000-3665.202003055
    [3] 卫童瑶,殷跃平,高杨,等. 三峡库区巫山县塔坪H1滑坡变形机制[J]. 水文地质工程地质,2020,47(4):73 − 81. [WEI Tongyao,YIN Yueping,GAO Yang,et al. Deformation mechanism of the taping H1 landslide in Wushan County in the Three Gorges Reservoir area[J]. Hydrogeology & Engineering Geology,2020,47(4):73 − 81. (in Chinese with English abstract) doi: 10.16030/j.cnki.issn.1000-3665.202003043
    [4] 郭子正,殷坤龙,付圣,等. 基于GIS与WOE-BP模型的滑坡易发性评价[J]. 地球科学,2019,44(12):4299 − 4312. [GUO Zizheng,YIN Kunlong,FU Sheng,et al. Evaluation of landslide susceptibility based on GIS and WOE-BP model[J]. Earth Science,2019,44(12):4299 − 4312. (in Chinese with English abstract)
    [5] 张钟远,邓明国,徐世光,等. 镇康县滑坡易发性评价模型对比研究[J]. 岩石力学与工程学报,2022,41(1):157 − 171. [ZHANG Zhongyuan,DENG Mingguo,XU Shiguang,et al. Comparison of landslide susceptibility assessment models in Zhenkang County,Yunnan Province,China[J]. Chinese Journal of Rock Mechanics and Engineering,2022,41(1):157 − 171. (in Chinese with English abstract)
    [6] MOHAMMADY M,POURGHASEMI H R,PRADHAN B. Landslide susceptibility mapping at Golestan Province,Iran:a comparison between frequency ratio,Dempster-Shafer,and weights-of-evidence models[J]. Journal of Asian Earth Sciences,2012,61:221 − 236. doi: 10.1016/j.jseaes.2012.10.005
    [7] 王世宝,庄建琦,樊宏宇,等. 基于频率比与集成学习的滑坡易发性评价:以金沙江上游巴塘—德格河段为例[J]. 工程地质学报,2022,30(3):817 − 828. [WANG Shibao,ZHUANG Jianqi,FAN Hongyu,et al. Evaluation of landslide susceptibility based on frequency ratio and ensemble learning:Taking the Batang-Dege section in the upstream of Jinsha River as an example[J]. Journal of Engineering Geology,2022,30(3):817 − 828. (in Chinese with English abstract)
    [8] DU Juan,GLADE T,WOLDAI T,et al. Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley,Tibet,Chinese Himalayas[J]. Engineering Geology,2020,270:105572. doi: 10.1016/j.enggeo.2020.105572
    [9] STEGER S,BRENNING A,BELL R,et al. Exploring discrepancies between quantitative validation results and the geomorphic plausibility of statistical landslide susceptibility maps[J]. Geomorphology,2016,262:8 − 23. doi: 10.1016/j.geomorph.2016.03.015
    [10] MEINHARDT M,FINK M,TÜNSCHEL H. Landslide susceptibility analysis in central Vietnam based on an incomplete landslide inventory:Comparison of a new method to calculate weighting factors by means of bivariate statistics[J]. Geomorphology,2015,234:80 − 97. doi: 10.1016/j.geomorph.2014.12.042
    [11] ABEDINI M,TULABI S. Assessing LNRF,FR,and AHP models in landslide susceptibility mapping index:A comparative study of Nojian watershed in Lorestan Province,Iran[J]. Environmental Earth Sciences,2018,77(11):405. doi: 10.1007/s12665-018-7524-1
    [12] 夏辉,殷坤龙,梁鑫,等. 基于SVM-ANN模型的滑坡易发性评价—以三峡库区巫山县为例[J]. 中国地质灾害与防治学报,2018,29(5):13 − 19. [XIA Hui,YIN Kunlong,LIANG Xin,et al. Landslide susceptibility assessment based on SVM-ANN Models:A case stualy for Wushan County in the Three Gorges Reservoir[J]. The Chinese Journal of Geological Hazard and Control,2018,29(5):13 − 19. (in Chinese with English abstract)
    [13] 殷坤龙,柳源. 滑坡灾害区划系统研究[J]. 中国地质灾害与防治学报,2000,11(4):28 − 32. [YIN Kunlong,LIU Yuan. Systematic studies on landslide hazard zonation[J]. The Chinese Journal of Geological Hazard and Control,2000,11(4):28 − 32. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-8035.2000.04.007
    [14] 周天伦,曾超,范晨,等. 基于快速聚类-信息量模型的汶川及周边两县滑坡易发性评价[J]. 中国地质灾害与防治学报,2021,32(5):137 − 150. [ZHOU Tianlun,ZENG Chao,FAN Chen,et al. Landslide susceptibility assessment based on K-means cluster information model in Wenchuan and two neighboring counties,China[J]. The Chinese Journal of Geological Hazard and Control,2021,32(5):137 − 150. (in Chinese with English abstract) doi: 10.16031/j.cnki.issn.1003-8035.2021.05-17
    [15] 石菊松,张永双,董诚,等. 基于GIS技术的巴东新城区滑坡灾害危险性区划[J]. 地球学报,2005,26(3):275 − 282. [SHI Jusong,ZHANG Yongshuang,DONG Cheng,et al. GIS-based landslide hazard zonation of the new Badong County site[J]. Acta Geosicientia Sinica,2005,26(3):275 − 282. (in Chinese with English abstract) doi: 10.3321/j.issn:1006-3021.2005.03.014
    [16] 郭子正,殷坤龙,黄发明,等. 基于滑坡分类和加权频率比模型的滑坡易发性评价[J]. 岩石力学与工程学报,2019,38(2):287 − 300. [GUO Zizheng,YIN Kunlong,HUANG Faming,et al. Evaluation of landslide susceptibility based on landslide classification and weighted frequency ratio model[J]. Chinese Journal of Rock Mechanics and Engineering,2019,38(2):287 − 300. (in Chinese with English abstract) doi: 10.13722/j.cnki.jrme.2018.0838
    [17] MA Shuyue,QIU Haijun,HU Sheng,et al. Quantitative assessment of landslide susceptibility on the Loess Plateau in China[J]. Physical Geography,2020,41(6):489 − 516. doi: 10.1080/02723646.2019.1674559
    [18] 罗路广,裴向军,黄润秋,等. GIS支持下CF与Logistic回归模型耦合的九寨沟景区滑坡易发性评价[J]. 工程地质学报,2021,29(2):526 − 535. [LUO Luguang,PEI Xiangjun,HUANG Runqiu,et al. Landslide susceptibility assessment in Jiuzhaigou scenic area with GIS based on certainty factor and Logistic regression model[J]. Journal of Engineering Geology,2021,29(2):526 − 535. (in Chinese with English abstract) doi: 10.13544/j.cnki.jeg.2019-202
    [19] 罗路广,裴向军,崔圣华,等. 九寨沟地震滑坡易发性评价因子组合选取研究[J]. 岩石力学与工程学报,2021,40(11):2306 − 2319. [LUO Luguang,PEI Xiangjun,CUI Shenghua,et al. Combined selection of susceptibility assessment factors for Jiuzhaigou earthquake-induced landslides[J]. Chinese Journal of Rock Mechanics and Engineering,2021,40(11):2306 − 2319. (in Chinese with English abstract) doi: 10.13722/j.cnki.jrme.2021.0198
    [20] HONG Haoyuan,CHEN Wei,XU Chong,et al. Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio,certainty factor,and index of entropy[J]. Geocarto International,2017,32(2):139 − 154.
    [21] 刘璐瑶,高惠瑛. 基于证据权与Logistic回归模型耦合的滑坡易发性评价[J]. 工程地质学报,2021:1 − 11 [2021-05-13]. [LIU Luyao,GAO Huiying. landslide susceptibility assessment based on coupling of woe model and Logistic regression model[J]. Journal of Engineering Geology,2021:1 − 11 [2021-05-13]. (in Chinese with English abstract) doi: 10.13544/j.cnki.jeg.2020-482
    [22] 李郎平,兰恒星,郭长宝,等. 基于改进频率比法的川藏铁路沿线及邻区地质灾害易发性分区评价[J]. 现代地质,2017,31(5):911 − 929. [LI Langping,LAN Hengxing,GUO Changbao,et al. Geohazard susceptibility assessment along the Sichuan-Tibet railway and its adjacent area using an improved frequency ratio method[J]. Geoscience,2017,31(5):911 − 929. (in Chinese with English abstract) doi: 10.3969/j.issn.1000-8527.2017.05.004
    [23] LI Langping,LAN Hengxing,GUO Changbao,et al. A modified frequency ratio method for landslide susceptibility assessment[J]. Landslides,2017,14(2):727 − 741. doi: 10.1007/s10346-016-0771-x
    [24] ZHANG Yixing,LAN Hengxing,LI Langping,et al. Optimizing the frequency ratio method for landslide susceptibility assessment:A case study of the Caiyuan Basin in the southeast mountainous area of China[J]. Journal of Mountain Science,2020,17(2):340 − 357. doi: 10.1007/s11629-019-5702-6
    [25] HE Keqiang,WANG Shangqing,DU Wen,et al. Dynamic features and effects of rainfall on landslides in the Three Gorges Reservoir region,China:Using the Xintan landslide and the large Huangya landslide as the examples[J]. Environmental Earth Sciences,2010,59(6):1267. doi: 10.1007/s12665-009-0114-5
    [26] TANG Huiming,WASOWSKI J,JUANG C H. Geohazards in the three Gorges Reservoir Area,China - Lessons learned from decades of research[J]. Engineering Geology,2019,261:105267. doi: 10.1016/j.enggeo.2019.105267
    [27] YIN Yueping,HUANG Bolin,ZHANG Quan,et al. Research on recently occurred reservoir-induced Kamenziwan rockslide in Three Gorges Reservoir,China[J]. Landslides,2020,17(8):1935 − 1949. doi: 10.1007/s10346-020-01394-7
    [28] Regional level landslide inventory maps of the Shyok River watershed, Northern Pakistan[J]. Bulletin of Engineering Geology and the Environment, 2016, 75(2): 563 − 574.
    [29] 吴润泽,胡旭东,梅红波,等. 基于随机森林的滑坡空间易发性评价—以三峡库区湖北段为例[J]. 地球科学,2021,46(1):321 − 330. [WU Runze,HU Xudong,MEI Hongbo,et al. Spatial susceptibility assessment of landslides based on random forest:A case study from Hubei section in the Three Gorges Reservoir area[J]. Earth Science,2021,46(1):321 − 330. (in Chinese with English abstract)
    [30] 周超,殷坤龙,曹颖,等. 基于集成学习与径向基神经网络耦合模型的三峡库区滑坡易发性评价[J]. 地球科学,2020,45(6):1865 − 1876. [ZHOU Chao,YIN Kunlong,CAO Ying,et al. Landslide susceptibility assessment by applying the coupling method of radial basis neural network and adaboost:A case study from the Three Gorges Reservoir area[J]. Earth Science,2020,45(6):1865 − 1876. (in Chinese with English abstract)
    [31] 闫举生,谭建民. 基于不同因子分级法的滑坡易发性评价—以湖北远安县为例[J]. 中国地质灾害与防治学报,2019,30(1):52 − 60. [YAN Jusheng,TAN Jianmin. Landslide susceptibility assessment based on different factor classification methods:A case study in Yuanan County of Hubei Province[J]. The Chinese Journal of Geological Hazard and Control,2019,30(1):52 − 60. (in Chinese with English abstract)
    [32] LIU Zhongqiang,GILBERT G,CEPEDA J M,et al. Modelling of shallow landslides with machine learning algorithms[J]. Geoscience Frontiers,2021,12(1):385 − 393. doi: 10.1016/j.gsf.2020.04.014
    [33] LAN H X,ZHOU C H,WANG L J,et al. Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed,Yunnan,China[J]. Engineering Geology,2004,76(1/2):109 − 128.
    [34] 周越,曾昭发,唐海燕,等. 公路勘察中滑坡体的地球物理特征与分析—以张榆线公路勘察为例[J]. 吉林大学学报(地球科学版),2021,51(2):638 − 644. [ZHOU Yue,ZENG Zhaofa,TANG Haiyan,et al. Geophysical characteristics of landslide body in highway reconnaissance: A case study in highway prospecting of Zhangyu line[J]. Journal of Jilin University (Earth Science Edition),2021,51(2):638 − 644. (in Chinese with English abstract)
  • 加载中
图(11) / 表(2)
计量
  • 文章访问数:  3269
  • HTML全文浏览量:  1842
  • PDF下载量:  162
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-12-28
  • 录用日期:  2022-04-08
  • 修回日期:  2022-04-06
  • 网络出版日期:  2023-02-20
  • 刊出日期:  2023-04-25

目录

    /

    返回文章
    返回