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GIS和信息量模型的京张高铁滑坡易发性评价

张向营 张春山 孟华君 王鹏 李焕彬

张向营, 张春山, 孟华君, 等, 2018. 基于GIS和信息量模型的京张高铁滑坡易发性评价. 地质力学学报, 24 (1): 96-105. DOI: 10.12090/j.issn.1006-6616.2018.24.01.011
引用本文: 张向营, 张春山, 孟华君, 等, 2018. 基于GIS和信息量模型的京张高铁滑坡易发性评价. 地质力学学报, 24 (1): 96-105. DOI: 10.12090/j.issn.1006-6616.2018.24.01.011
ZHANG Xiangying, ZHANG Chunshan, MENG Huajun, et al., 2018. LANDSLIDE SUSCEPTIBILITY ASSESSMENT OF NEW JING-ZHANG HIGH-SPEED RAILWAY BASED ON GIS AND INFORMATION VALUE MODEL. Journal of Geomechanics, 24 (1): 96-105. DOI: 10.12090/j.issn.1006-6616.2018.24.01.011
Citation: ZHANG Xiangying, ZHANG Chunshan, MENG Huajun, et al., 2018. LANDSLIDE SUSCEPTIBILITY ASSESSMENT OF NEW JING-ZHANG HIGH-SPEED RAILWAY BASED ON GIS AND INFORMATION VALUE MODEL. Journal of Geomechanics, 24 (1): 96-105. DOI: 10.12090/j.issn.1006-6616.2018.24.01.011

基于GIS和信息量模型的京张高铁滑坡易发性评价

doi: 10.12090/j.issn.1006-6616.2018.24.01.011
基金项目: 

中国地质调查局项目 DD20160267

国家自然科学基金 41502339

中国地质科学院基本科研业务专项经费 YYWF201523

详细信息
    作者简介:

    张向营(1993-), 男, 硕士研究生, 主要从事地质灾害、工程地质方面的研究。Email:dzzxy2011@163.com

    通讯作者:

    张春山(1964-), 男, 博士, 研究员, 主要从事地质灾害、地应力、环境地质等方面的工作。E-mail:zhangcs401@sina.com

  • 中图分类号: P642.22

LANDSLIDE SUSCEPTIBILITY ASSESSMENT OF NEW JING-ZHANG HIGH-SPEED RAILWAY BASED ON GIS AND INFORMATION VALUE MODEL

  • 摘要: 新建京张铁路不仅是2022年北京冬奥会的配套交通保障设施,同时也是京包兰交通廊道的重要组成部分。在京张高铁沿线滑坡灾害调查的基础上,对影响滑坡灾害发育的相关因子进行统计分析,选取斜坡坡高、坡度、坡向、归一化植被指数、工程地质岩组、活动断裂、河流、年平均降雨量、地震和人类工程活动等10个要素作为评价模型计算的基本变量和数值化参数,采用基于GIS的信息量模型法对在建京张高铁沿线及邻区进行了滑坡灾害易发性评价,并将评价结果划分为5个等级:极低易发区、低易发区、中易发区、高易发区和极高易发区。结合野外调查成果,对评价结果的可信度进行了检验分析,评价结果与实际灾害发生情况基本吻合,研究结果可为京张高铁建设、减灾防灾提供基础依据。

     

  • 图  1  研究区活动断裂简图

    Figure  1.  Active faults in the study area

    图  2  研究区滑坡分布图

    Figure  2.  Distribution map of landslides in the study area

    图  3  各评价因子与滑坡的相关性

    Figure  3.  Correlation between landslide and evaluation factors

    图  4  坡向与地质灾害的相关性

    Figure  4.  Relation between geological disaster and aspect

    图  5  地震动峰值加速度区划

    Figure  5.  Peak acceleration of ground motion zoning

    图  6  各因子重分类专题图

    a—坡度; b—坡高; c—坡向; d—NDVI; e—工程岩组; f—距断裂距离; g—距河流距离; h-年降雨量; i-距道路距离

    Figure  6.  The classified distribution maps of various

    图  7  新建京张高铁滑坡灾害易发性区划图

    Figure  7.  Landslide susceptibility assessment map of New Jing-Zhang High-speed railway

    表  1  信息量与计算参数

    Table  1.   Information and calculation parameters

    因子类别信息量值排序
    工程岩组松散沉积物0.018722
    软硬相间碎屑、浅变质岩0.97384
    坚硬碎屑岩-0.374138
    碳酸盐岩-0.024825
    坚硬深变质岩、侵入岩-0.375239
    断层< 500 m0.58509
    500~1000 m-0.015435
    1000~2000 m-0.345118
    2000~4000 m0.230828
    >4000 m-0.114813
    河流< 500 m0.426111
    500~1000 m0.539234
    1000~2000 m-0.315020
    2000~4000 m0.147042
    >4000 m-0.662641
    降雨量350~400 mm-0.54596
    400~450 mm0.73617
    450~500 mm0.646231
    >500 mm-0.166424
    地震动0.15 g-0.497440
    0.20 g0.138121
    植被覆盖率0~0.270.297415
    0.27~0.51-0.112227
    0.51~1.0-0.209733
    坡度0~20°-0.759144
    20~40°1.18243
    40~60°0.361514
    >60°0.86875
    坡向0~45°-0.202732
    45~90°0.242917
    90~135°-0.119729
    135~180°-0.361836
    180~225°0.018623
    225~270°-0.815045
    270~315°0.564424
    315~360°0.209519
    坡高0~50 m-0.694743
    50~100 m0.60008
    100~150 m1.31042
    >150 m1.76751
    人类工程活动< 500 m0.450512
    500~1000 m0.254816
    1000~2000 m-0.371537
    2000~4000 m-0.026326
    >4000 m-0.165130
    下载: 导出CSV

    表  2  划分的易发性等级与实际灾害分布的对比

    Table  2.   Comparison between evaluation results and actual disaster distribution

    危险度单元数a/%c/个b/%b/a
    极低易发区8334017.33000
    低易发区19040339.6047.400.1868
    中易发区9708220.191935.181.7424
    高易发区7335815.251520.781.3626
    极高易发区365957.611629.643.8948
    总计49077810054100
    注:a为本类易发性等级的面积占研究区总面积的百分比;b为落在该易发性分区内的灾害占灾害点总数的百分比;c为落在该类易发性分区内的灾害数量。
    下载: 导出CSV
  • [1] Ohlmacher G C, Davis J C. Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA[J]. Engineering Geology, 2003, 69(3/4):331~343. doi: 10.1007/s00254-008-1342-9
    [2] Dai B F C, Lee C F. Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong[J].Geomorphology, 2002, 42(3/4):213~228. https://www.sciencedirect.com/science/article/pii/S0169555X01000873
    [3] Guo C B, Montgomery D R, Zhang Y S, et al. Quantitative assessment of landslide susceptibility along the Xianshuihe fault zone, Tibetan Plateau, China[J]. Geomorphology, 2015, 248:93~110. doi: 10.1016/j.geomorph.2015.07.012
    [4] Wang QQ, Li W P. A GIS-based comparative evaluation of analytical hierarchy process and frequency ratio models for landslide susceptibility mapping[J]. Physical Geography, 2017, 38(4):318~337. doi: 10.1080/02723646.2017.1294522
    [5] 杜国梁, 张永双, 高金川, 等.基于GIS的白龙江流域甘肃段滑坡易发性评价[J].地质力学学报, 2016, 22(1):1~11. http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?file_no=20160101&flag=1

    DU Guoliang, ZHANG Yongshuang, GAOJinchuan, et al. Landslide susceptibility assessment based on GIS in Bailongjiang watershed, Gansu province[J]. Journal of Geomechanics, 2016, 22(1):1~11. (in Chinese with English abstract) http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?file_no=20160101&flag=1
    [6] 向喜琼, 黄润秋.基于GIS的人工神经网络模型在地质灾害危险性区划中的应用[J].中国地质灾害与防治学报, 2000, 11(3):23~27. doi: 10.3969/j.issn.1003-8035.2000.03.006

    Xiang Xiqiong, Huang Runqiu. Application of GIS-based artificial neural networks on assessment of geohazardsrisk[J]. The Chinese Journal of Geological Hazard and Control, 2000, 11(3):23~27. (in Chinese with English abstract) doi: 10.3969/j.issn.1003-8035.2000.03.006
    [7] Zhang Y S, Yang Z H, Guo C B, et al. Predicting landslide scenes under potential earthquake scenarios in the Xianshuihe fault zone, Southwest China[J]. Journal of Mountain Science, 2017, 14(7):1262~1278. doi: 10.1007/s11629-017-4363-6
    [8] Dai F C, Lee C F, Ngai Y Y. Landslide risk assessment and management:an overview[J]. Engineering Geology, 2002, 64(1):65~87. doi: 10.1016/S0013-7952(01)00093-X
    [9] 张春山, 吴满路, 张业成.地质灾害风险评价方法及展望[J].自然灾害学报, 2003, 12(1):96~102. doi: 10.3969/j.issn.1004-4574.2003.01.016

    ZHANG Chunshan, WU Manlu, ZHANG Yecheng. Method and prospect of geological disaster risk assessment[J]. Journal of Natural Disasters, 2003, 12(1):96~102. (in Chinese with English abstract) doi: 10.3969/j.issn.1004-4574.2003.01.016
    [10] 马寅生, 张业成, 张春山, 等.地质灾害风险评价的理论与方法[J].地质力学学报, 2004, 10(1):7~18. http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?file_no=20040103&flag=1

    MA Yinsheng, ZHANG Yecheng, ZHANG Chunshan, et al. Theory and approaches to the risk evaluation of geological hazards[J]. Journal of Geomechanics, 2004, 10(1):7~18. (in Chinese with English abstract) http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?file_no=20040103&flag=1
    [11] Van Westen C J, VanAsch T W J, Soeters R. Landslide hazard and risk zonation-why is it still so difficult?[J]. Bulletin of Engineering Geology and the Environment, 2006, 65(2):167~184. doi: 10.1007/s10064-005-0023-0
    [12] 石菊松, 石玲, 吴树仁.滑坡风险评估的难点和进展[J].地质论评, 2007, 53(6):797~806. http://www.cnki.com.cn/Article/CJFDTotal-DLKJ201203014.htm

    SHI Jusong, SHI Ling, WU Shuren. Difficulties and problematical aspects of landslide risk assessment:an overview[J]. Geological Review, 2007, 53(6):797~806. (in Chinese with English abstract) http://www.cnki.com.cn/Article/CJFDTotal-DLKJ201203014.htm
    [13] 胡瑞林, 范林峰, 王珊珊, 等.滑坡风险评价的理论与方法研究[J].工程地质学报, 2013, 21(1):76~84. http://d.old.wanfangdata.com.cn/Periodical/gcdzxb201301009

    HU Ruilin, FAN Linfeng, WANGShanshan, et al. Theory and method for landslide risk assessment-current status and future development[J]. Journal of Engineering Geology, 2013, 21(1):76~84. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/gcdzxb201301009
    [14] 缪信, 汤明高, 王自高, 等.地质灾害危险性评价模型的比较分析与应用[J].水利水电技术, 2016, 47(4):119~122. http://d.old.wanfangdata.com.cn/Periodical/slsdjs201604026

    MIAO Xin, TANGMinggao, WANG Zigao, et al. Comparative analysis and application of model for assessment on risk of geological hazard[J]. Water Resources and Hydropower Engineering, 2016, 47(4):119~122. (inChinesewith English abstract) http://d.old.wanfangdata.com.cn/Periodical/slsdjs201604026
    [15] 吴树仁, 石菊松, 张春山, 等.地质灾害风险评估技术指南初论[J].地质通报, 2009, 28(8):995~1005. http://www.doc88.com/p-0092023776545.html

    WU Shuren, SHI Jusong, ZHANG Chunshan, et al. Preliminary discussion on technical guideline for geohazard risk assessment[J]. Geological Bulletin of China, 2009, 28(8):995~1005. (in Chinese with English abstract) http://www.doc88.com/p-0092023776545.html
    [16] 高克昌, 崔鹏, 赵纯勇, 等.基于地理信息系统和信息量模型的滑坡危险性评价——以重庆万州为例[J].岩石力学与工程学报, 2006, 25(5):991~996. http://www.cqvip.com/Main/Detail.aspx?id=21816737

    GAOKechang, CUI Peng, ZHAO Chunyong, et al. Landslide hazard evaluation of Wanzhou based on GIS information value method in the three gorges reservoir[J]. Chinese Journal of Rock Mechanics and Engineering, 2006, 25(5):991~996. (in Chinese with English abstract) http://www.cqvip.com/Main/Detail.aspx?id=21816737
    [17] 阮沈勇, 黄润秋.基于GIS的信息量法模型在地质灾害危险性区划中的应用[J].成都理工学院学报, 2001, 28(1):89~92. doi: 10.3969/j.issn.1671-9727.2001.01.018

    RUANShenyong, HUANG Runqiu.Application of GIS-based information model on assessment of geological hazards risk[J]. Journal of Chengdu University of Technology, 2001, 28(1):89~92. (in Chinese with English abstract) doi: 10.3969/j.issn.1671-9727.2001.01.018
    [18] 辛鹏. 陕西省麟游县地质灾害危险性评价[D]. 北京: 中国地质科学院, 2010. http://cdmd.cnki.com.cn/Article/CDMD-82501-2011012298.htm

    XINPeng. Study on landslide hazard assessment inLinyou county in Shaanxi province[D]. Beijing: Chinese Academy of Geological Sciences, 2010. (in Chinese with English abstract) http://cdmd.cnki.com.cn/Article/CDMD-82501-2011012298.htm
    [19] 王涛. 汶川地震重灾区地质灾害危险性评估研究[D]. 北京: 中国地质科学院, 2010. http://cdmd.cnki.com.cn/Article/CDMD-82501-2011012316.htm

    WANG Tao. Study on seismic landslide hazard assessment inWenchuan earthquake severly afflicted area[D]. Beijing: Chinese Academy of Geological Science, 2010. (in Chinese with English abstract) http://cdmd.cnki.com.cn/Article/CDMD-82501-2011012316.htm
    [20] Shannon C E. A mathematical theory of communication[J]. Bell Labs Technical Journal, 1948, 27(4):623~656. doi: 10.1002/bltj.1948.27.issue-4
    [21] Clerici A, Perego S, Tellini C, et al. A procedure for landslidesusceptibility zonation by the conditional analysis method[J]. Geomorphology, 2002, 48(4):349~364. doi: 10.1016/S0169-555X(02)00079-X
    [22] 李晓慧. 宝成铁路凤县段地质灾害危险性评价[D]. 北京: 中国地质大学(北京), 2010. https://mall.cnki.net/lunwen-2010085850.html

    Li Xiaohui. Geological hazard risk assessment of Bao-Cheng railway inFengxiancountry[D]. Beijing: China University of Geosciences(Beijing). 2010. (in Chinese with English abstract) https://mall.cnki.net/lunwen-2010085850.html
    [23] 郭长宝, 张永双, 王涛, 等.南北活动构造带中段地质灾害与重大工程地质问题概论[J].地质力学学报, 2017, 23(5):707~722. http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?file_no=20170508&flag=1

    GUOChangbao, ZHANG Yongshuang, WANG Tao, et al. Discussion on geological hazards and major engineering geological problems in the middle part of the north-south active tectonic zone, China[J]. Journal of Geomechanics, 2017, 23(5):707~722. (in Chinese with English abstract) http://journal.geomech.ac.cn/ch/reader/view_abstract.aspx?file_no=20170508&flag=1
    [24] 崔玉龙, 邓建辉.金沙江永善-水富段滑坡分布规律及其形成模式[J].水利水电技术, 2017, 48(2):143~147. http://218.249.40.235/slsdjs/CN/abstract/abstract10620.shtml

    CUI Yulong, DENG Jianhui. Distribution law and forming mode of landslides along Yongshan-Shuifu section of JinshaRiver[J]. Water Resources and Hydropower Engineering, 2017, 48(2):143~147. (in Chinesewith English abstract) http://218.249.40.235/slsdjs/CN/abstract/abstract10620.shtml
    [25] 张向营, 张春山, 孟华君, 等.地震扰动区泥石流起动阈值研究现状及展望[J].灾害学, 2017, 32(1):221~227. https://www.cnki.com.cn/qikan-SKXJ201306005.html

    ZHANG Xiangying, ZHANG Chunshan, MENG Huajun, et al. The review and development trend of critical threshold value of debris flow inearthquake-influenced area[J]. Journal of Catastrophology, 2017, 32(1):221~227. (in Chinese with English abstract) https://www.cnki.com.cn/qikan-SKXJ201306005.html
  • 加载中
图(7) / 表(2)
计量
  • 文章访问数:  179
  • HTML全文浏览量:  83
  • PDF下载量:  13
  • 被引次数: 0
出版历程
  • 收稿日期:  2017-02-20
  • 修回日期:  2017-12-01
  • 刊出日期:  2018-02-28

目录

    /

    返回文章
    返回