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. 基于GIS和信息量模型的京张高铁滑坡易发性评价[J]. 地质力学学报, 2018, 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, 王鹏, 李焕彬. 基于GIS和信息量模型的京张高铁滑坡易发性评价[J]. 地质力学学报, 2018, 24(1): 96-105. doi: 10.12090/j.issn.1006-6616.2018.24.01.011
Xiangying ZHANG, Chunshan ZHANG, Huajun MENG, Peng WANG, Huanbin LI. LANDSLIDE SUSCEPTIBILITY ASSESSMENT OF NEW JING-ZHANG HIGH-SPEED RAILWAY BASED ON GIS AND INFORMATION VALUE MODEL[J]. Journal of Geomechanics, 2018, 24(1): 96-105. doi: 10.12090/j.issn.1006-6616.2018.24.01.011
Citation: Xiangying ZHANG, Chunshan ZHANG, Huajun MENG, Peng WANG, Huanbin LI. LANDSLIDE SUSCEPTIBILITY ASSESSMENT OF NEW JING-ZHANG HIGH-SPEED RAILWAY BASED ON GIS AND INFORMATION VALUE MODEL[J]. Journal of Geomechanics, 2018, 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

  • 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

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  • 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。
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  • 图 1  研究区活动断裂简图

    Figure 1. 

    图 2  研究区滑坡分布图

    Figure 2. 

    图 3  各评价因子与滑坡的相关性

    Figure 3. 

    图 4  坡向与地质灾害的相关性

    Figure 4. 

    图 5  地震动峰值加速度区划

    Figure 5. 

    图 6  各因子重分类专题图

    Figure 6. 

    图 7  新建京张高铁滑坡灾害易发性区划图

    Figure 7. 

    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
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出版历程
收稿日期:  2017-02-20
修回日期:  2017-12-01

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