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基于信息量模型的地质灾害易发性评价:以川东南古蔺县为例

温鑫 范宣梅 陈兰 刘世康

温鑫, 范宣梅, 陈兰, 刘世康. 基于信息量模型的地质灾害易发性评价:以川东南古蔺县为例[J]. 地质科技通报, 2022, 41(2): 290-299. doi: 10.19509/j.cnki.dzkq.2022.0054
引用本文: 温鑫, 范宣梅, 陈兰, 刘世康. 基于信息量模型的地质灾害易发性评价:以川东南古蔺县为例[J]. 地质科技通报, 2022, 41(2): 290-299. doi: 10.19509/j.cnki.dzkq.2022.0054
Wen Xin, Fan Xuanmei, Chen Lan, Liu Shikang. Susceptibility assessment of geological disasters based on an information value model: A case of Gulin County in Southeast Sichuan[J]. Bulletin of Geological Science and Technology, 2022, 41(2): 290-299. doi: 10.19509/j.cnki.dzkq.2022.0054
Citation: Wen Xin, Fan Xuanmei, Chen Lan, Liu Shikang. Susceptibility assessment of geological disasters based on an information value model: A case of Gulin County in Southeast Sichuan[J]. Bulletin of Geological Science and Technology, 2022, 41(2): 290-299. doi: 10.19509/j.cnki.dzkq.2022.0054

基于信息量模型的地质灾害易发性评价:以川东南古蔺县为例

doi: 10.19509/j.cnki.dzkq.2022.0054
详细信息
    作者简介:

    温鑫(1997-), 男, 现正攻读地质工程专业硕士学位, 主要从事工程岩土体稳定性及环境效应研究。E-mail: 1445805925@qq.com

    通讯作者:

    范宣梅(1981-), 女, 博士生导师, 研究员, 主要从事遥感和地理信息系统在地质学科中的应用、地质灾害风险评价与防治研究。E-mail: 18202308@qq.com

  • 中图分类号: P694

Susceptibility assessment of geological disasters based on an information value model: A case of Gulin County in Southeast Sichuan

  • 摘要: 地质灾害威胁着山区人民生命财产安全, 进行地质灾害易发性评价有助于山区城镇进行规划与建设时规避灾害风险。以川东南古蔺县为例, 基于ArcGIS空间分析获取了研究区高程、坡度、岩性、斜坡结构、植被指数、距断层距离和距道路距离7个评价因子, 采用信息量模型分别对滑坡和崩塌灾害进行易发性评价后, 进一步利用ArcGIS单元统计功能对比了滑坡和崩塌易发性的信息量值, 选取相对更大的信息量值作为该栅格的最终信息量值, 绘制了研究区综合地质灾害易发性图, 利用自然断点法将古蔺县按信息量值的大小划分为极低、低、中、高和极高易发区。结果表明: 地质灾害主要分布在断层和道路附近, 断层和人类工程活动是造成研究区地质灾害频发的主要原因; 高易发区与极高易发区面积之和为1 315.62 km2, 占全区总面积的41.32%;预测模型性能经ROC曲线检验, AUC值为0.812 5, 说明栅格最大值法预测的古蔺县综合地灾易发性效果良好。

     

  • 图 1  研究区概况

    Figure 1.  Overview of the study area in Gulin

    图 2  综合地质灾害易发性评价建模流程图

    Figure 2.  Modelling flow chart of the comprehensive geohazard susceptibility assessment

    图 3  滑坡易发性评价因子分级图

    Figure 3.  Classification maps of landslide susceptibility assessment factors

    图 4  崩塌易发性评价因子分级图

    Figure 4.  Classification maps of rockfall susceptibility assessment factors

    图 5  因子分级内信息量值及滑坡灾害分布

    图c, e因分级太多只相间列出,具体分级见正文和表 1

    Figure 5.  Distribution of landslide-disaster and information value within factor classifications

    图 6  因子分级内信息量值及崩塌灾害分布

    图c, e因分级太多只相间列出,具体分级见正文和表 1

    Figure 6.  Distribution of rockfall-hazard and information value within factor classifications

    图 7  古蔺县滑坡(a)与崩塌(b)灾害易发性分区图

    Figure 7.  Susceptibility distribution map of landslides (a) and rockfalls (b) in Gulin County

    图 8  基于信息量模型的古蔺县地质灾害易发性分区图

    Figure 8.  Geological hazard susceptibility division diagram of Gulin County based on the information value model

    图 9  基于信息量模型的地质灾害易发性评价ROC曲线

    Figure 9.  ROC curve of geological hazard susceptibility assessment based on information value model

    表  1  滑坡和崩塌评价因子分级和信息量值

    Table  1.   Classification and information value of land slide and rockfall assessment factors

    评价因子 分级状态 归一信息量 评价因子 分级状态 归一信息量
    滑坡 崩塌 滑坡 崩塌
    高程/m < 500 1.00 1.00 坡度/(°) < 5 0.58 0.62
    [500~700) 0.89 0.75 [5, 10) 0.96 0.00
    [700~850) 0.92 0.77 [10, 15) 0.98 0.65
    [850~1 000) 0.86 0.74 [15, 20) 1.00 0.10
    [1 000~1 100) 0.68 0.72 [20, 25) 0.96 0.44
    [1 100~1 200) 0.29 0.53 [25, 30) 0.89 0.34
    [1 200~1 400) 0.00 0.00 [30, 35) 0.72 1.00
    [1 400~1 849) 0.61 0.34 [35, 40) 0.29 0.07
    岩性 工程岩组1 0.36 0.19 [40, 45) 0.19 0.68
    工程岩组2 0.00 0.00 >45 0.00 0.63
    工程岩组3 0.71 0.29 距断层距离/km < 2 0.82 0.14
    工程岩组4 0.51 0.35 [2, 4) 0.75 0.03
    工程岩组5 0.48 0.41 [4, 6) 0.85 0.13
    工程岩组6 0.37 0.25 [6, 8) 1.00 0.49
    工程岩组7 0.45 0.32 [8, 10) 0.93 0.44
    工程岩组8 0.30 0.38 [10, 12) 0.88 1.00
    工程岩组9 0.35 0.30 [12, 14) 0.39 0.10
    工程岩组10 0.40 0.31 [14, 16) 0.86 0.15
    工程岩组11 0.24 0.30 [16, 18) 0.24 0.15
    工程岩组12 0.07 0.19 [18, 20) 0.03 0.00
    工程岩组13 1.00 1.00 [20, 22) 1.00 0.15
    距道路距离/km < 0.5 0.49 1.00 [22, 24) 0.34 0.56
    [0.5, 1) 0.29 0.41 [24, 26) 0.78 0.15
    [1, 1.5) 0.04 0.33 [26, 28) 0.00 0.83
    [1.5, 2) 0.32 0.00 [28, 30) 0.78 0.15
    [2, 3) 0.00 0.42 [30, 32) 0.20 0.31
    [3, 4) 0.23 0.32 [32, 34) 0.78 0.15
    [4, 5) 0.32 0.28 [34, 36) 0.78 0.15
    [5, 6) 0.64 0.65 [36, 38) 0.78 0.15
    [6, 7) 0.40 0.66 归一化植被指数NDVI < 0 / 0.48
    [7, 8) 0.30 0.66 [0, 0.1) / 0.60
    [8, 9) 1.00 0.66 [0.1, 0.2) / 0.60
    [9, 10) 0.30 0.66 [0.2, 0.3) / 0.49
    斜坡结构 顺向坡 0.00 / [0.3, 0.4) / 1.00
    斜向坡 1.00 / [0.4, 0.5) / 0.00
    横向坡 0.33 / >0.5 / 0.48
    逆向坡 1.00 /
    下载: 导出CSV
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  • 收稿日期:  2021-06-23

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