ISSN 1003-8035 CN 11-2852/P
    Volume 33 Issue 3
    Jun.  2022
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    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. DOI: 10.16031/j.cnki.issn.1003-8035.2022.03-13
    Citation: 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. DOI: 10.16031/j.cnki.issn.1003-8035.2022.03-13
    shu

    Landslide hazard identification based on slope unit: A case study of shallow soil slope in Wanshan, Guizhou Province

    • 1.

      Guizhou Institute of Geo-Environment Monitoring, Guiyang, Guizhou　550081, China

    • 2.

      College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, Sichuan　610059, China

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    • Received Date: February 24, 2022
    • Revised Date: May 09, 2022
    • Accepted Date: May 10, 2022
    • Available Online: May 24, 2022
      Graphical Abstract
      • Abstract
    • The identification of slope geological disaster risk has become an important basic work for geological disaster prevention and control in southwest mountainous areas. The potential unstable slope units are divided by GIS program, and six factors including dip angle, elevation, thickness of covering, slope soil type、human engineering activities and maximum rainfall were selected as evaluation factors. Analytic hierarchy process (AHP) is carried out to assess risk of large-scale geological hazards in mountainous areas and preliminarily evaluate the unstable slopes in the study area. While taking slope models in study area of Wanshan as examples, the safety factors under heavy rain condition are analyzed with FEM approaches. In this method, we only reduce the strength parameters of elements whose shear strain is beyond the limit value．The reduction process will continue until the global slope failure associated with the formation of whole sliding surface whose limit shear strains beyond the limit value．It is found that all of the safety factors in 12 slopes are below 1.05 which accorded with the results of AHP. It is proved that proposed method can be seen as a quantitative evaluation method for geological hazard identification of the soil unstable slope in southwest mountainous area.
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    • [1]
      薛强, 张茂省, 李林. 基于斜坡单元与信息量法结合的宝塔区黄土滑坡易发性评价[J]. 地质通报,2015,34(11):2108 − 2115. [XUE Qiang, ZHANG Maosheng, LI Lin. Loess landslide susceptibility evaluation based on slope unit and information valuemethod in Baota District, Yan’an[J]. Geological Bulletin of China,2015,34(11):2108 − 2115. (in Chinese with English abstract)

      Xue Qiang, Zhang Maosheng, Li Lin. Loess landslide susceptibility evaluation based on slope unit and information valuemethod in Baota District, Yan'an. Geological Bulletin of China, 2015, 34(11): 2108-2115. (in Chinese with English abstract)
      [2]
      孟田, 许晓露, 刘汉湖. 基于斜坡单元优化的高海拔地区滑坡危险性评价—以金沙江白格滑坡为例[J]. 河南理工大学学报(自然科学版),2021,40(1):65 − 72. [MENG Tian, XU Xiaolu, LIU Hanhu. Landslide risk assessment in high altitude areas based on slope unit optimization: Taking the Baige landslide in Jinsha River as an example[J]. Journal of Henan Polytechnic University (Natural Science),2021,40(1):65 − 72. (in Chinese with English abstract)

      MENG Tian, XU Xiaolu, LIU Hanhu. Landslide risk assessment in high altitude areas based on slope unit optimization: Taking the Baige landslide in Jinsha River as an example[J]. Journal of Henan Polytechnic University( Natural Science), 2021, 40(1): 65-72. (in Chinese with English abstract)
      [3]
      颜阁, 梁收运, 赵红亮. 基于GIS的斜坡单元划分方法改进与实现[J]. 地理科学,2017,37(11):1764 − 1770. [YAN Ge, LIANG Shouyun, ZHAO Hongliang. An Approach to Improving Slope Unit Division Using GIS Technique[J]. Scientia Geographica Sinica,2017,37(11):1764 − 1770. (in Chinese with English abstract)

      Yan Ge, Liang Shouyun, Zhao Hongliang. An Approach to Improving Slope Unit Division Using GIS Technique. Scientia Geographica Sinica, 2017, 37(11): 1764-1770. (in Chinese with English abstract)
      [4]
      冯卫, 唐亚明, 马红利, 等. 一种基于斜坡单元的山区城镇地质灾害高危险坡段识别方法[J]. 灾害学,2021,36(1):64 − 68. [FENG Wei, TANG Yaming, MA Hongli, et al. Identification Method of High-Risk Slopes of Geological Disaster in Mountain Towns Based on Slope Unit[J]. Journal of Catastrophology,2021,36(1):64 − 68. (in Chinese with English abstract) DOI: 10.3969/j.issn.1000-811X.2021.01.013

      FENG Wei, TANG Yaming, MA Hongli, et al. Identification Method of High-Risk Slopes of Geological Disaster in Mountain Towns Based on Slope Unit[J]. Journal of Catastrophology, 2021, 36(1): 64-68. (in Chinese with English abstract) DOI: 10.3969/j.issn.1000-811X.2021.01.013
      [5]
      薛强, 张茂省, 高波. 斜坡单元支持下基于土体含水率的陕西省清涧县城区黄土滑坡危险性评价[J]. 中国地质,2020,47(6):1904 − 1914. [XUE Qiang, ZHANG Maosheng, GAO Bo. Hazard assessment of loess landslide based on soil moisture content and supported by slope unit in Qingjian City, Shaanxi Province[J]. Geology in China,2020,47(6):1904 − 1914. (in Chinese with English abstract) DOI: 10.12029/gc20200624

      Xue Qiang, Zhang Maosheng, Gao Bo. Hazard assessment of loess landslide based on soil moisture content and supported by slope unit in Qingjian City, Shaanxi Province[J]. Geology in China, 2020, 47(6): 1904-1914. (in Chinese with English abstract) DOI: 10.12029/gc20200624
      [6]
      贵州省地质环境监测院. 贵州省万山区地质灾害详细调查及风险评价报告[R]. 贵阳: 贵州省地质环境监测院, 2021

      Guizhou Geological Environment Monitoring Institute. Report on the results of geological disaster investigation and risk assessment in Wanshan of Guizhou[R]. Guiyang: Guizhou Geological Environment Monitoring Institute, 2021. (in Chinese)
      [7]
      杜国梁, 杨志华, 袁颖, 等. 基于逻辑回归-信息量的川藏交通廊道滑坡易发性评价[J]. 水文地质工程地质,2021,48(5):102 − 111. [DU Guoliang, YANG Zhihua, YUAN Ying, et al. Landslide susceptibility mapping in the Sichuan-Tibet traffic corridor using logistic regression- information value method[J]. Hydrogeology& Engineering,2021,48(5):102 − 111. (in Chinese with English abstract)

      Du Guoliang, YangZhihua, YuanYing, et al. Landslide susceptibility mapping in the Sichuan-Tibet traffic corridor using logistic regression- information value method[J]. Hydrogeology& Engineering, 2021, 48(5): 102-111. (in Chinese with English abstract)
      [8]
      常金源, 包含, 伍法权, 等. 降雨条件下浅层滑坡稳定性探讨[J]. 岩土力学,2015,4(36):995 − 1000. [CHANG Jinyuan, BAO Han, WU Faquan, et al. Discussion on stability of shallow landslide under rainfall[J]. Rock and Soil Mechanics,2015,4(36):995 − 1000. (in Chinese with English abstract)

      Chang Jinyuan, BaoHan, Wu Faquan, et al. Discussion on stability of shallow landslide under rainfall[J]. Rock and Soil Mechanics, 2015, 4(36): 995-1000. (in Chinese with English abstract)
      [9]
      许晓露, 刘汉湖, 蒋川东. 基于斜坡单元的滑坡易发性评价—以易贡地区为例[J]. 河南科学,2019,37(11):1825 − 1831. [XU Xiaolu, LIU Hanhu, JIANG Chuandong. Key Laboratory of Geoscience Spatial Information Technology of Ministry of Land and Resources, Chengdu University of Technology[J]. Henan Science,2019,37(11):1825 − 1831. (in Chinese with English abstract)

      XU Xiaolu, LIU Hanhu, JIANG Chuandong. Key Laboratory of Geoscience Spatial Information Technology of Ministry of Land and Resources, Chengdu University of Technology[J]Henan Science, 2019, 37(11): 1825-1831. (in Chinese with English abstract)
      [10]
      邓雪, 李家铭, 曾浩健, 等. 层次分析法权重计算方法分析及其应用研究[J]. 数学的实践与认识,2012,42(7):93 − 100. [DENG Xu, LI Jiaming, ZENG Haojian, et al. Research on computation methods of AHP weight vector and its applications[J]. Mathematics in Practice and Theory,2012,42(7):93 − 100. (in Chinese with English abstract) DOI: 10.3969/j.issn.1000-0984.2012.07.012

      Deng Xu, Li Jiaming, Zeng Haojian, et al. Research on computation methods of AHP weight vector and its applications[J]. Mathematics in Practice and Theory, 2012, 42(7): 93-100. (in Chinese with English abstract) DOI: 10.3969/j.issn.1000-0984.2012.07.012
      [11]
      高晨曦, 刘艺梁, 薛欣, 等. 三峡库区典型堆积层滑坡变形滞后时间效应研究[J]. 工程地质学报,2021,29(5):1427 − 1436. [GAO Chenxi, LIU Yiliang, XUE Xin, et al. Study on deformation lag time effect of typical colluvial landslide in Three Gorges Reservoir Area[J]. Journal of Engineering Geology,2021,29(5):1427 − 1436. (in Chinese with English abstract)

      Gao Chenxi, Liu Yiliang, Xue Xin, et al. Study on deformation lag time effect of typical colluvial landslide in Three Gorges Reservoir Area[J]. Journal of Engineering Geology, 2021, 29(5): 1427-1436. (in Chinese with English abstract)
      [12]
      KUMARD, THAKUR M, DUBEYCS, et al. Landslide susceptibility mapping & prediction using support vector machine for mandakini river basin, Garhwal Himalaya, India[J]. Geomorphology,2017:S0169555 − X16309485.
      [13]
      TIEN BUI D, TUAN T A, HOANG N D, et al. Spatial prediction of rainfall-induced landslides for the Lao Cai area( Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization[J]. Landslides,2017,14(2):447 − 458. DOI: 10.1007/s10346-016-0711-9
      [14]
      ADITIANA, KUBOTAT, SHINOHARAY. Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia[J]. Geomorphology,2018,318:101 − 111. DOI: 10.1016/j.geomorph.2018.06.006
      [15]
      TAALAB K, CHENG T, ZHANG Y. Apping landslide susceptibility and types using Random Forest[J]. Big Earth Data,2018,2(2):159 − 178. DOI: 10.1080/20964471.2018.1472392
      [16]
      陈国庆, 黄润秋, 石豫川, 等. 基于动态和整体强度折减法的边坡稳定性分析[J]. 岩石力学与工程学报,2014,33(2):243 − 256. [CHEN Guoqing, HUANG Runqiu, SHI Yuchuan, et al. Stability analysis of slope based on dynamic and whole strength reduction methods[J]. Chinese Journal of Rock Mechanics and Engineering,2014,33(2):243 − 256. (in Chinese with English abstract)

      CHEN Guoqing, HUANG Runqiu, SHI Yuchuan, et al. Stability analysis of slope based on dynamic and whole strength reduction methods[J]. Chinese Journal of Rock Mechanics and Engineering, 2014, 33(2): 243–256. ( in Chinese with English abstract
      [17]
      刘康琦, 刘红岩, 祁小博. 基于强度折减法的土石混合体边坡长期稳定性研究[J]. 工程地质学报,2020,28(2):327 − 334. [LIU Kangqi, LIU Hongyan, QI Xiaobo. Numerical study on long-term stability of soil-rock mixture slope using strength reduction technique[J]. Journal of Engineering Geology,2020,28(2):327 − 334. (in Chinese with English abstract)

      Liu Kangqi, Liu Hongyan, Qi Xiaobo. Numerical study on long-term stability of soil-rock mixture slope using strength reduction technique[J]. Journal of Engineering Geology, 2020, 28( 2): 327-334. (in Chinese with English abstract)
      [18]
      林姗, 郭昱葵, 孙冠华, 等. 边坡稳定性分析的虚单元强度折减法[J]. 工程地质学报, 2019, 38（增刊2）: 3429 − 3436

      LIN Shan, GAO Yukui, SUN Guanhua, et al. Slope stability analysis using the virtual element method and shear strength reduction technique[J]. Journal of Engineering Geology, 2019, 38(Sup 2): 3429 − 3436. (in Chinese with English abstract)
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