Journal of Jilin University(Earth Science Edition) ›› 2015, Vol. 45 ›› Issue (5): 1470-1478.doi: 10.13278/j.cnki.jjuese.201505201

Previous Articles     Next Articles

Risk Zoning of Earthquake-Induced Landslides Based on Slope Units: A Case Study on Lushan Earthquake

Qiu Dandan1,2, Niu Ruiqing1, ZhaoYannan1, Wu Xueling1   

  1. 1. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China;
    2. School of Resource and civil engineering, Wuhan Institute of Technology, Wuhan 430073, China
  • Received:2014-09-02 Published:2015-09-26

PDF (PC)

302

Abstract:

Earthquake-induced landslide could cause serious damage, which could be even worse than the quake itself especial in a mountain area. We select Lushan as the research area where Lushan earthquake occurred on April 20, 2013. This earthquake caused massive landslides that resulted in a tragic loss of life and economy. Combining multi-source data, we select 10 evaluation factors after Pearson correlation analysis, including elevation, slope, aspect, shape, curvature classification, vegetation index, distance from drainages, slope structure, lithology, and distance from faults. Based on the digital elevation model, we use watershed overlay method to plot slope units, and resample the evaluation factors. After multi-group test, we get the appropriate parameter value of the neural network optimized by Genetic Algorithm model. The risk zoning of earthquake induced landslides is then calculated by using neural network optimized by Genetic Algorithm. The same risk zoning model is used to slope units and grid units. The accuracy rate of slope units is 96.6%; while the accuracy rate of grid units is 92.6%. In comparison with the grid units, the slope units are more accurate. Further, we analyze the uncertainty in this evaluation model by using multi-data receiver operating characteristic curve(ROC). Each curve has the equal position; and the areas under the line are almost the same. The result indicates that the proposed method has the advantages of high accuracy, stable performance, and small amount of data to process. It can be used for early warning and assessment of earthquake.

Key words: earthquake-induced landslide, risk zoning, evaluation factors, slope units, Lushan, Sichuan

CLC Number: 

  • P642.22

[1] 李树德,任秀生,岳升阳,等. 地震滑坡研究[J]. 水土保持研究,2001,8(2): 24-25. Li Shude, Ren Xiusheng, Yue Shengyang, et al. Study of Earthquake-Landslide[J]. Research of Soil and Water Conservation, 2001,8(2): 24-25.

[2] 李忠生. 国内外地震滑坡灾害研究综述[J]. 灾害学, 2003,18(4): 65-71. Li Zhongsheng. The State of the Art of the Research on Seismic Landslide Hazard at Home and Abroad[J]. Journal of Catastrophology, 2003,18(4): 65-71.

[3] 乔建平, 蒲晓虹, 王萌,等. 大地震诱发滑坡的分布特点及危险性区划研究[J]. 灾害学, 2009,24(2): 25-29. Qiao Jianping, Pu Xiaohong, Wang Meng, et al. A Study on Characteristics of Distribution of Earthquake-Induced Landslides and Hazard Zoning[J]. Journal of Catastrophology, 2009,24(2): 25-29.

[4] 徐桂弘. 地震诱发滑坡的危险性分析与预测[J]. 内陆地震, 2008,22(2): 188-192. Xu Guihong. Analysis and Prediction of Danger of Landslide Caused Earthquakes[J]. Inland Earthquake, 2008,22(2): 188-192.

[5] 许冲, 戴福初, 姚鑫,等. 基于GIS与确定性系数分析方法的汶川地震滑坡易发性评价[J]. 工程地质学报, 2010,18(1): 15-26. Xu Chong, Dai Fuchu, Yao Xin, et al. GIS Platform and Certainty Factor Analysis Method Based Wenchuan Earthquake-Induced Landslide Susceptibility Evaluation[J]. Journal of Engineering Geology, 2010,18(1): 15-26.

[6] 陈晓利, 叶洪, 程菊红. GIS技术在区域地震滑坡危险性预测中的应用:以龙陵地震滑坡为例[J]. 工程地质学报, 2006,14(3): 333-338. Chen Xiaoli, Ye Hong, Cheng Juhong. Use of GIS in Regional Risk Assessment of Earthquake Induced Landslides:A Case Study of Earthquake Induced Landslides in Longling in 1976[J]. Journal of Engineering Geology, 2006,14(3): 333-338.

[7] 许冲, 戴福初, 姚鑫,等. GIS支持下基于层次分析法的汶川地震区滑坡易发性评价[J]. 岩石力学与工程学报, 2009,28(增刊2): 3978-3985. Xu Chong, Dai Fuchu,Yao Xin, et al. GIS-Based Landslide Susceptibility Assessment Using Analytical Hierarchy Process in Wenchuan Earthquake Region[J]. Chinese Journal of Rock Mechanics and Engineering, 2009,28(Sup.2): 3978-3985.

[8] Keefer D K. Investigating Landslides Caused by Ear-thquakes: A Historical Review[J]. Surveys in Geophysics, 2002, 23(6): 473-510.

[9] 孟宪纲, 薄万举, 刘志广,等. 芦山7.0级地震与巴颜喀拉块体中东段的活动性[J]. 吉林大学学报:地球科学版,2014,44(5):1705-1711. Meng Xiangang, Bo Wanju, Liu Zhiguang, et al. Activity in the Middle East of Bayan Har Block with Lushan Ms 7.0 Earthquake[J]. Journal of Jilin University:Earth Science Edition,2014,44(5): 1705-1711.

[10] 常鸣, 唐川, 李为乐,等."4·20"芦山地震地质灾害遥感快速解译与空间分析[J]. 成都理工大学学报:自然科学版, 2013,40(3): 275-281. Chang Ming, Tang Chuan, Li Weile, et al. Image Interpretation and Spatial Analysis of Geohazards Induced by "4·20"Lushan Earthquake in Epicenter Area[J]. Journal of Chengdu University of Technology: Science & Technology Edition, 2013,40(3): 275-281.

[11] 陈晓利, 冉洪流, 祁生文. 1976年龙陵地震诱发滑坡的影响因子敏感性分析[J]. 北京大学学报:自然科学版, 2009,45(1): 104-110. Chen Xiaoli, Ran Hongliu, Qi Shengwen. Triggering Factors Susceptibility of Earthquake-Induced Landslides in 1976 Longling Earthquake[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2009,45(1): 104-110.

[12] 王秀英, 聂高众, 马牧军. 地震滑坡灾害评估中地震影响因素的联合应用[J]. 地震学报, 2012,34(1): 76-84. Wang Xiuying, Nie Gaozhong, Ma Mujun. Application of Multiple Ground Motion Factors in Earthquake-Induced Landslide Hazard Evaluation[J]. Acta Seismologica Sinica, 2012,34(1): 76-84.

[13] 侯景瑞, 袁中夏. 汶川地震滑坡与影响因素[J]. 西北地震学报, 2011,33(增刊1): 398-402. Hou Jingrui, Yuan Zhongxia. Influence Factors of the Landslides Caused by Wenchuan Earthquake[J]. Northwestern Seismological Journal, 2011,33(Sup.1): 398-402.

[14] 彭令. 三峡库区滑坡灾害风险评估研究[D]. 武汉:中国地质大学, 2013. Peng Ling. Landslide Risk Sssessment in the Three Gorges Reservoir[D]. Wuhan:China University of Geosciences,2013.

[15] 丁辉. 基于遥感技术滑坡灾害区划研究[D]. 西安:长安大学, 2011. Ding Hui. Study on Landslides Geo-Hazard Zoning[D].Xi'an: Chang'an University, 2011.

[16] 武雪玲, 任福, 牛瑞卿,等. 斜坡单元支持下的滑坡易发性评价支持向量机模型[J]. 武汉大学学报:信息科学版, 2013,38(12): 1499-1503. Wu Xueling, Ren Fu, Niu Ruiqing, et al. Landslide Spatial Prediction Based on Slope Units and Suppert Vector Machines[J]. Geomatics and Information Science of Wuhan University, 2013,38(12): 1499-1503.

[17] 田旭光, 宋彤, 刘宇新. 结合遗传算法优化BP神经网络的结构和参数[J]. 计算机应用与软件, 2004,21(6): 69-71. Tian Xuguang, Song Tong,Liu Yuxin. Optimizing the Structure and Parameters of BP Neural Network Based on Genetic Algorithm[J]. Computer Applications and Software, 2004,21(6): 69-71.

[18] 李景富, 牛瑞卿. 基于GIS的斜坡结构图自动化制图方法研究[J]. 人民长江, 2009,40(19): 38-40. Li Jingfu, Niu Ruiqing. Automated Mapping Method of Slope Structure Image Based on GIS[J].Yangtze River, 2009,40(19): 38-40.
[1] Zhao Jintong, Niu Ruiqing, Yao Qi, Wu Xueling. Landslide Susceptibility Assessment Aided by SAR Data [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(4): 1182-1191.
[2] Tan Fulin, Hu Xinli, Zhang Yuming, He Chuncan, Zhang Han. Calculation Method of Landslide Thrust Considering Progressive Failure Process [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(1): 193-202.
[3] Fu Jiankang, Luo Gang, Hu Xiewen. Physical Model Experiment on Overtopping Overflow Failure of Landslide Dam [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(1): 203-212.
[4] Hong Yong, Che Xiaowen, Zheng Xiaoyu, Liu Peng, Zhou Rong. Fast Shear Behavior of Saturated and Dry Loess at South Plateau Landslide of Jingyang, Shaanxi [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(4): 1207-1218.
[5] An Yuke, Wu Weijiang, Zhang Wen, Yao Qingqing, Song Jian, Zhang Honghong. Crack Control Design Method of Anti-Slide Pile and Engineering Application [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(1): 171-178.
[6] Zhang Yanjun, Zhang Tong, Yin Renchao, Zheng Jie, Liu Tong, Xie Yangyang. Geothermal Anomaly Areas Exploration and Ground Temperature Prediction Based on 2-Meter Temperature Survey [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(1): 189-196.
[7] Liu Xiaobo, Liu Shaofeng, Lin Chengfa. Analysis of Depositional Characteristics of Tuchengzi Formation and BasinEdge Structures,ChichengXuanhua Basin, Northwestern Hebei Province [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(5): 1297-1311.
[8] Wang Changming, Chang Gaoqi, Wu Qian, Li Wentao. Pile-Soil Interaction Mechanism and a Method to Determine Vertical Bearing Capacity of Prestressed Concrete Pipe Pile [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(3): 805-813.
[9] Du Fangpeng, Wang Jianqiang, Niu Junqiang, Tan Furong, Yang Chuang, Yan Mingming. Characteristics and Its Significance of Soft Sedimentary Deformations of the Upper Triassic Bagong Formation in Southeastern Qiangtang Block [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(3): 661-670.
[10] Peng Ling, Xu Suning, Peng Junhuan. Regional Landslide Risk Assessment Using Multi-Source Remote Sensing Data [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(1): 175-186.
[11] Xiong Xiaoliang，Sun Hongyue，Zhang Shihua，Cai Yueliang. Analysis of Condition of Ensuring High-Lift Siphon Drainage and Numerical Simulation of Choice of Optimum Diameter [J]. Journal of Jilin University(Earth Science Edition), 2014, 44(5): 1595-1601.
[12] Han Ge，Gong Wei，Wu Ting，Zhao Yannan. A Stage-Divided Method for Landslide Deformation Prediction by Using Rough Set [J]. Journal of Jilin University(Earth Science Edition), 2014, 44(3): 925-931.
[13] Zheng Guang，Xu Qiang，Lin Feng，Ju Nengpan，Deng Maolin，Wang Xinfang. Characteristics and Failure Mechanism of the Longjiapo Landslide in Cengong,Guizhou on June 29，2012：A Case of Catastrophic Landslides Triggered by Lateral Shear Disturbance [J]. Journal of Jilin University(Earth Science Edition), 2014, 44(3): 932-945.
[14] Zhao Quanli, Shang Yuequan, Zhi Momo. Modification of the Start-Up Criterion of Translational Gliding Landslide [J]. Journal of Jilin University(Earth Science Edition), 2014, 44(2): 596-602.
[15] Yang Weimin, Huang Xiao, Zhang Chunshan, Si Haibao. Deformation Behavior of Landslides and Their Formation Mechanism Along Pingding-Huama Active Fault in Bailongjiang River Region [J]. Journal of Jilin University(Earth Science Edition), 2014, 44(2): 574-583.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd